Abstract
Genetically encoded calcium indicators (GECIs) are powerful tools for systems neuroscience. Here we describe red, single-wavelength GECIs, “RCaMPs,” engineered from circular permutation of the thermostable red fluorescent protein mRuby. High-resolution crystal structures of mRuby, the red sensor RCaMP, and the recently published red GECI R-GECO1 give insight into the chromophore environments of the Ca2+-bound state of the sensors and the engineered protein domain interfaces of the different indicators. We characterized the biophysical properties and performance of RCaMP sensors in vitro and in vivo in Caenorhabditis elegans, Drosophila larvae, and larval zebrafish. Further, we demonstrate 2-color calcium imaging both within the same cell (registering mitochondrial and somatic [Ca2+]) and between two populations of cells: neurons and astrocytes. Finally, we perform integrated optogenetics experiments, wherein neural activation via channelrhodopsin-2 (ChR2) or a red-shifted variant, and activity imaging via RCaMP or GCaMP, are conducted simultaneously, with the ChR2/RCaMP pair providing independently addressable spectral channels. Using this paradigm, we measure calcium responses of naturalistic and ChR2-evoked muscle contractions in vivo in crawling C. elegans. We systematically compare the RCaMP sensors to R-GECO1, in terms of action potential-evoked fluorescence increases in neurons, photobleaching, and photoswitching. R-GECO1 displays higher Ca2+ affinity and larger dynamic range than RCaMP, but exhibits significant photoactivation with blue and green light, suggesting that integrated channelrhodopsin-based optogenetics using R-GECO1 may be subject to artifact. Finally, we create and test blue, cyan, and yellow variants engineered from GCaMP by rational design. This engineered set of chromatic variants facilitates new experiments in functional imaging and optogenetics.
Keywords: calcium imaging, genetically encoded calcium indicator, multi-color imaging, protein engineering, optogenetics
Introduction
Together, recent advances in modern microscopy and improved genetically encoded calcium indicators (GECIs) have revolutionized systems neuroscience by allowing chronic simultaneous optical recording from genetically targeted neuronal populations in vivo. Calcium is a ubiquitous second messenger, playing an essential role in all aspects of physiology, specifically in neurons and other excitable cells (Burgoyne, 2007). Calcium ions (Ca2+) are transported into neurons both by action potential (AP) firing and synaptic input (Jaffe et al., 1992; Denk et al., 1996). Spike number, timing, frequency, as well as levels of synaptic input, can all be quantified by measuring changes in intracellular free [Ca2+] (Yasuda et al., 2004). GECIs are prominent tools to monitor [Ca2+] in defined cells and intra-cellular compartments (Mank and Griesbeck, 2008; Mao et al., 2008; Dreosti et al., 2009; Hou et al., 2009; Rothermel et al., 2009; Shigetomi et al., 2010). The most optimized GECIs are single-wavelength green indicators based on the original GCaMP sensor (Nakai et al., 2001). Improvements have been facilitated both by crystal structure determination in the Ca2+-free and Ca2+-bound states (Wang et al., 2008; Akerboom et al., 2009), and high-throughput screening in bacterial colonies (Ibraheem et al., 2011; Zhao et al., 2011a; Akerboom et al., 2012b) and lysates (Tian et al., 2009). A number of engineered variants of GCaMP have been published (Ohkura et al., 2005; Tallini et al., 2006; Tian et al., 2009; Muto et al., 2011); of these the GCaMP5 indicators (Akerboom et al., 2012a) show the best performance in detecting APs in neurons. GCaMP sensors have been deployed in a number of model organisms, and facilitate experiments such as imaging Ca2+ transients during development in transgenic mice (Zariwala et al., 2012), in vivo imaging of layer 5 cortex (Mittmann et al., 2011), chronic measurements of circuit dynamics accompanying motor task learning (Huber et al., 2012), and monitoring whisker sensory-motor integration in cortical synaptic terminals (Petreanu et al., 2012).
Sufficient structure/function relationships are known for GCaMP (Wang et al., 2008; Akerboom et al., 2009) and its constituent molecules, calmodulin (CaM) (Chou et al., 2001; Faas et al., 2011; Stigler and Rief, 2012) and green fluorescent protein (GFP) (Ormo et al., 1996; Tsien, 1998), to allow specific, semi-rational manipulation of critical sensor parameters including: Ca2+ affinity, on- and off-kinetics, protein stability, expression/degradation profiles, and baseline and activated fluorescence levels (Akerboom et al., 2009, 2012b; Tian et al., 2009). One characteristic that until recently has largely been unexplored (Zhao et al., 2011a) is sensor color.
Modulation of the color of GFP and related proteins is well established. Direct mutation of the side-chains comprising the GFP chromophore can tune excitation/emission; specifically, the mutations Phe64Leu, Thr65Ser, and Tyr66His produce a blue fluorescent protein (BFP) (Heim et al., 1994), and Tyr66Trp produces a cyan variant (CFP) (Heim and Tsien, 1996). The Thr203Tyr mutation produces a pi-stacking interaction with the GFP chromophore that red-shifts fluorescence, creating a yellow fluorescent protein (YFP) (Ormo et al., 1996). A number of improved variants of the original BFP, CFP, and YFP have been published, often by mutating positions near the chromophore to improve folding, maturation, brightness, and photostability (Griesbeck et al., 2001; Nagai et al., 2002; Rizzo et al., 2004; Nguyen and Daugherty, 2005; Ai et al., 2006, 2007; Kremers et al., 2006, 2007; Mena et al., 2006; Goedhart et al., 2010). A red variant of GFP has also been published (Mishin et al., 2008), but it is quite dim.
Mutations producing chromatic variants of FPs can easily be grafted onto sensors derived from them. In spite of this, until recently (Zhao et al., 2011a) the only available color of single-wavelength GECI was green [camgaroo (Yu et al., 2003), pericam (Nagai et al., 2001), and the Case sensors (Leder et al., 2010) were engineered from EYFP but have GFP-like green fluorescence]. For analytes other than Ca2+, sensors with several different colors have been constructed: Hyper, a yellow peroxide sensor (Belousov et al., 2006); blue, cyan, green, and yellow sensors for maltose (Marvin et al., 2011); a yellow sensor of molecular strain (Ichimura et al., 2012); Frex, a yellow sensor of NADH (Zhao et al., 2011b); PermELI, a yellow estrogen sensor (Picazo et al., 2011); and a yellow indicator of ATP:ADP ratio (Berg et al., 2009).
Extending the color palette greatly increases the potential of GECIs: multi-color imaging of different cell types and organelles could reveal inter- and intra-cell signaling events; red-shifted indicators would reduce tissue scattering, phototoxicity, and background fluorescence, facilitating deep imaging; non-green sensors could be used in animals already expressing a green FP; and perhaps most importantly, color-shifted indicators could seamlessly integrate into optogenetics experiments. Optogenetic manipulation of cells via light-modulated ion proteins, such as the microbial opsins (Yizhar et al., 2011a) or photoactivated cyclases (Stierl et al., 2011), combined with functional imaging of genetically encoded sensors, could elucidate the input/output interactions both within single cells and between neurons. However, the GCaMP excitation spectrum overlaps the action spectra of commonly used activators and silencers, such as channelrhodopsin-2 (ChR2) (Nagel et al., 2003, 2005; Boyden et al., 2005), archaerhodopsin-3 (Arch) (Chow et al., 2010), and halorhodopsin (HR) (Zhang et al., 2007). Currently, imaging GCaMP fluorescence without overly activating ChR2 is only possible with dim excitation light, resulting in weak fluorescent signals and low signal-to-noise ratio (SNR) (Guo et al., 2009). Using a red-shifted GECI in concert with the blue-activated ChR2 could allow activating and imaging lasers to be used at full intensity.
We first sought to create a family of chromatic variants of GCaMP by structure-guided design and random screening, and compare those to the color variants recently published (Zhao et al., 2011a). Initially, we made mutations in and around the chromophore in GCaMP3, by grafting mutations of GFP that produce blue (Heim et al., 1994), cyan (Heim and Tsien, 1996), yellow (Ormo et al., 1996), and red (Mishin et al., 2008) fluorescent proteins. Of these, the blue, cyan, and yellow variants (“BCaMP,” “CyCaMP,” and “YCaMP,” respectively) displayed spectral shifts comparable to the GFP variants and were optimized by subsequent mutagenesis. However, the red variant of GCaMP3 did not display any fluorescence and this variant was not pursued further. To create a red GECI, we selected the red fluorescent protein (FP) mRuby (an engineered variant of eqFP611 exhibiting high thermodynamic stability and monomericity) (Kredel et al., 2009) and replaced cpEGFP with circularly permuted mRuby in the GCaMP3 scaffold. Subsequent systematic engineering produced a red GECI (“RCaMP”). High-resolution crystal structures of mRuby in several states, as well as a structure of a Ca2+-loaded RCaMP variant, aided optimization of the red GECI scaffold to useful performance levels. Furthermore, the high-resolution structure of Ca2+-loaded R-GECO1 explains mutagenesis data and presents the opportunity for structure-guided optimization of this sensor as well.
We thoroughly characterize the new RCaMPs, both under single- and two-photon illumination, and present a number of novel applications. We demonstrate 2-color red/green calcium imaging both intra-cellularly (mitochondria and cytoplasm) and inter-cellularly (neurons and astrocytes). We show in vivo RCaMP imaging in worms, fly larvae, and zebrafish. We demonstrate integrated optogenetics experiments with RCaMP and ChR2, both in cells and in vivo in partially restrained worms, and make a comparison with GCaMP and the red-shifted opsin C1V1 (Yizhar et al., 2011b), and to recently published (but potentially artifactual) use of ChR2 with R-GECO1 and its mutants (Chang et al., 2012; Ohkura et al., 2012). Finally, we present a thorough spectral characterization of RCaMP and R-GECO1 focused on multicolor/optogenetics implementation. We compare two-photon bleaching of RCaMP and mRuby to the red Ca2+ sensor R-GECO1 (Zhao et al., 2011a).
We find that R-GECO1 shows dramatic reversible photoactivation and fast multi-state photobleaching that complicate implementation of the sensor, whereas RCaMP sensors are spectrally pure, brighter than R-GECO1 under 2-photon excitation and show no photoswitching. The new RCaMP sensors are the only currently available reagents for artifact-free, simultaneous optogenetics and functional imaging, and as such enable a host of qualitatively new experiments.
Results
Structure-guided engineering of color-shifted GECIs
We initially mutated GCaMP3 (Tian et al., 2009) to incorporate sets of the core mutations of EBFP, ECFP, and EYFP: in GCaMP3 numbering Phe221Leu/Thr222Ser/Tyr223His (“BCaMP1a”); Tyr223Trp (“CyCaMP1a”); and Val116Tyr/Lys119Val (GCaMP3 incorporates the Thr116Val mutation; “YCaMP1a”). CyCaMP1a and YCaMP1a were fluorescent and responded to in vitro calcium changes [(ΔF/F)max = 2.6 ± 0.1, s.d., n = 3; and (ΔF/F)max = 3.0 ± 0.1, s.d., n = 3, respectively] (Table 1), whereas BCaMP1a was fluorescent but not a sensor. The Cerulean (Rizzo et al., 2004) mutation Ser229Ala (GFP numbering Ser72Ala; Cerulean also has mutations at GFP positions 145 and 148, but these positions are absent in GCaMP) resulted in higher apo brightness and lower (ΔF/F)max (1.9 ± 0.3, s.d., n = 3) in CyCaMP1b (Table 1, Figure 1B). YCaMP1a was improved by the incorporation of the Citrine (Griesbeck et al., 2001) mutations Thr65/222Gly, Val68/225Leu, Gln69/226Met, and Ser72/229Ala, resulting in YCaMP1b [(ΔF/F)max = 9.2 ± 0.4, s.d., n = 3] (Table 1, Figure 1C). We incorporated the EBFP2 (Sato et al., 2007) and Azurite (Mena et al., 2006) mutations into BCaMP1a, but these did not result in improved variants. Screening variants of the M13pep-cpFP linker (“linker1”) produced a variant BCaMP1b, with amino acids Leu-Glu replaced by Met-Pro, with (ΔF/F)max of 0.9 ± 0.2 (s.d., n = 3; Table 1). A cpFP-CaM linker (“linker2”) variant BCaMP1c with Phe-Pro instead of Thr-Arg, had a (ΔF/F)max of 2.0 ± 0.1 (s.d., n = 3; Table 1, Figure 1A). The combination of the two linker variants resulted in a poor sensor (data not shown).
Table 1.
GECI variant | Mutationsa | Max. in vitro ΔF/F | Fbase, Fmax HEKc | Ratio (Fmax/Fbase) HEK | Baseline brightness cultured neurons | Ca2+ affinity (Kd) | pKa (sat/apo) | Hill coefficient |
---|---|---|---|---|---|---|---|---|
GCaMP3 | – | 12.3 ± 0.4 | – | – | – | 405 ± 9 nM | 6.97 ± 0.01/8.40 ± 0.02 | 2.1 ± 0.1 |
BCaMP1a | F221L, T222S, Y223H | – | – | – | – | – | – | – |
BCaMP1b | L59M, E60P, F221L, T222S, Y223H | 0.9 ± 0.2 | – | – | – | 958 ± 156 nM | 5.3 ± 0.1/4.0 ± 0.16 | 1.7 ± 0.1 |
BCaMP1c | F221L, T222S, Y223H, T302F, R303P | 2.0 ± 0.1 | – | – | – | 599 ± 26 nM | 5.1 ± 0.1/4.2 ± 0.1 and 5.2 ± 0.26 | 2.7 ± 0.2 |
YCaMP1a | V116Y, K119V | 3.0 ± 0.1 | – | – | – | 351 ± 24 nM | 7.96 ± 0.02/8.64 ± 0.02 | 1.6 ± 0.1 |
YCaMP1b | V116Y, K119V, T222G; V225L; Q226M, S229A | 9.2 ± 0.4 | – | – | – | 809 ± 46 nM | 7.14 ± 0.02/8.9 ± 0.02 | 1.7 ± 0.1 |
CyCaMP1a | Y223W | 2.6 ± 0.1 | – | – | – | 421 ± 41 nM | 6.56 ± 0.04/8.12 ± 0.03 | 2.1 ± 0.3 |
CyCaMP1b | Y223W, S229A | 1.9 ± 0.3 | – | – | – | 543 ± 37 nM | 6.9 ± 0.3/7.55 ± 0.2 | 1.8 ± 0.2 |
RCaMP-AI | L59A, E60I, D114S | 2.6 ± 0.1 | Not detectable | – | – | 3.8 ± 0.03 μ M | – | 1.4 ± 0.2 |
RCaMP1a | L59A, E60I, A112Y, D114S, T364I | 7.2 ± 0.1 | 1 ± 0.15; 1.4 ± 0.18 | 1.4 ± 0.1 | – | 1.3 ± 0.04 μ M | – | 2.9 ± 0.1 |
RCaMP1b | L59A, E60I, G109A, A112Y, D114S, T364I | 4.2 ± 0.1 | – | – | 770 ± 55 nM | – | 2.6 ± 0.1 | |
RCaMP1c | L59A, E60I, G109A, A112Y, D114S, T364I, D372Y | 7.5 ± 0.1 | 0.76 ± 0.1; 1.1 ± 0.14 | 1.5 ± 0.1 | – | 922 ± 34 nM | 5.03 ± 0.04/4.9 ± 0.2 and 6.9 ± 0.3 | 2.6 ± 0.1 |
RCaMP1d | L59A, E60I, G109A, A112Y, A270V, T364I, D372Y | 6.5 ± 0.2 | 0.79 ± 0.11; 1.2 ± 0.13 | 1.5 ± 0.13 | 7.8 ± 0.2 | 1.6 ± 0.06 μ M | 5.9 ± 0.1/4.8 ± 0.1 | 3.4 ± 0.4 |
RCaMP1eb | L59A, E60I, G109A, A112Y, D114S, A270V, T364I, D372Y | – | 0.67 ± 0.06; 0.86 ± 0.1 | 1.3 ± 0.08 | 1. 0 ± 0.02 | – | – | – |
RCaMP1fd | L59A, E60I, G109A, A112Y, A270V, T364I, D372Y, R384G, I424S | 12.3 ± 0.2 | 1.46 ± 0.08; 2.6 ± 0.2 | 1.8 ± 0.2 | 6.7 ± 0.1 | 1.9 ± 0.08 μ M | 5.32 ± 0.02/4.6 ± 0.1 | 2.8 ± 0.4 |
RCaMP1h | L59A, E60I, G109A, A112Y, A270V, R295D, D296S, T364I, D372Y, R384G, I424S | 10.5 ± 0.1 | 1.6 ± 0.1; 3.2 ± 0.26 | 2.0 ± 0.1 | 8.3 ± 0.1 | 1.3 ± 0.06 μ M | 4.94 ± 0.05/~3.2, ~4.7 and ~6.5e | 2.5 ± 0.1 |
R-GECO1 | – | 10.5 ± 0.1 | 1.22 ± 0.11; 3.07 ± 0.32 | 2.5 ± 0.5 | 1.02 ± 0.04 | 449 ± 21 nM | 6.59 and 8.9f | 1.51 ± 0.1 0.03 |
BCaMP, YCaMP, and CyCaMPs also contain the mutations R2 deletion, M65K, T115V, and N362D, as in GCaMP3.
RCaMP1e is identical to RCaMP1d, but without the RSET tag. Numbering is kept in line with RCaMP-AI.
Cultured neuron baseline brightness is normalized to the brightness of RCaMP1e.
RCaMP1f lacks 2 histidines in the RSET—nickel affinity tag. This is not taken into account in the numbering.
The pH titration of RCaMP1h (apo) is quite complicated; values are estimated rather than determined from curve fitting.
Data from Zhao et al. (2011a).
Initial engineering of the RCaMP scaffold
A red-colored (albeit quite dim) variant of Aequorea victoria GFP has been published (Mishin et al., 2008); we made the corresponding mutations to GCaMP3, but the resulting protein displayed no fluorescence (data not shown). Subsequently, we circularly permuted the red FP mCherry (Shaner et al., 2004) and replaced cpGFP in GCaMP3 with cp-mCherry; this protein was not fluorescent either (data not shown), in agreement with the absence of chromophore formation in cp-mCherry described previously (Carlson et al., 2010). We therefore selected another protein, mRuby (Kredel et al., 2009), as a template for a red calcium indicator. We reasoned mRuby would be more amenable to circular permutation because of its robust thermodynamic stability. Its parental protein, eqFP611, has been shown to contain a trans-conformation of its chromophore (Petersen et al., 2003), shifting the tyrosyl moiety of the chromophore in between β-strands 7 and 8 of the FP barrel. Interestingly, mutagenesis of eqFP611 to RFP639 shifts the chromophore to the cis-conformation (Nienhaus et al., 2008), bringing the tyrosyl moiety in close proximity to strand 10 as well. We therefore tried two different circular permutations, at residues 159 (strand 7) and 196 (strand 10), and additionally tried swapping the M13pep and CaM domains in each circular permutation (see Figure 2A for a schematic of the RCaMP family). The RCaMP scaffold with the circular permutation at the same region as GCaMP (after amino acid 159), sandwiched between N-terminal M13pep and C-terminal CaM in the same positions, was very dimly fluorescent in Escherichia coli colonies after prolonged (4 days) incubation at 4°C; the other scaffolds were not fluorescent (not shown) and abandoned during further optimization.
Random mutagenesis of linker1 (M13pep-to-cp-mRuby; originally the same Leu59-Glu60 as in GCaMP, from the translated XhoI site) resulted in four variants (Pro-Arg-Ile, Cys-Ile, Arg-Ile, Ala-Ile) with faster onset of fluorescence in E. coli (~1 day). The variants expressed well in E. coli and eluted as monomers during size exclusion chromatography (SEC) (Figures 2B,C). Denaturing SDS-PAGE gels showed that the RCaMPs exhibit a significant population of backbone-cleaved species (Figure 2D). Of the four variants, the Ala-Ile linker variant (“RCaMP-AI”) showed the largest (ΔF/F)max (2.6 ± 0.1, s.d., n = 3) (Table 1, Figure 2E) and was selected for further optimization. A spontaneous mutation that arose during gene assembly (Asp114Ser) was also incorporated into RCaMP (Table 1). Fluorescence spectra of purified RCaMP-AI with 450 nm excitation indicated the presence of a substantial green fluorescent component (not shown), potentially from incomplete maturation of the red species by stalling in a green intermediate state, as proposed for the red FP zFP574 (Ivashkin et al., 2011). To optimize maturation, we performed error-prone PCR of the RCaMP-AI template and screened E. coli colonies for variants with faster and more complete red chromophore maturation. This produced RCaMP1a, with the additional mutations Ala112Tyr and Thr364Ile (Table 1).
Crystal structures of mRuby, RCaMP, and R-GECO1
To aid our protein engineering efforts, we sought to solve the crystal structures of mRuby, RCaMP, and R-GECO1. Structural information on the parent protein of mRuby, eqFP611 (86% sequence identity with mRuby), has been published (Petersen et al., 2003), however, no protein structure of mRuby was available at the time of initial RCaMP engineering, hampering optimization efforts. It has previously been shown that pH can have a large effect on chromophore conformation in red FPs (Battad et al., 2007; Pletnev et al., 2008; Pletneva et al., 2011); therefore we determined the crystal structure of mRuby at two different pHs: 4.5 and 8.5 (Table 2). The large difference in pH had no notable effect on overall mRuby protein structure (RMSD = 0.13 Å for 208 Cα atoms). The structure of mRuby at pH 8.5 shows a trans-isomer of the red 2-(iminomethyl)-4-(4-hydroxybenzylidene)-imidazol-5-one chromophore, while the structure at pH 4.5 shows a mixture of ~60% trans and ~40% cis. Similar pH-dependent cis-trans conformational changes also occur in the related FP eqFP578 (Pletneva et al., 2011) (70% sequence identity with mRuby). For other RFPs [mKate (Pletnev et al., 2008), Katushka (Pletneva et al., 2011) and RtmS5-H148S (Battad et al., 2007); 68, 67, and 51% sequence identity with mRuby, respectively], an opposite pH-induced isomerization of the chromophore has been described. The RMSD between mRuby and eqFP611 is 1.11 Å for 195 common Cα atoms, with the largest differences in surface loops resulting from different crystal packing. It was previously shown that the equilibrium of cis-trans isomers of the chromophore in eqFP611 can be influenced by altering the hydrogen-bonding network surrounding the chromophore (Nienhaus et al., 2008), further complicating the predictability of RCaMP chromophore behavior. To directly observe the chromophore orientation and the structure and extent of cp-mRuby/CaM packing interactions, both of which assisted GCaMP engineering (Akerboom et al., 2009, 2012a; Tian et al., 2009), we solved the crystal structure of the early RCaMP variant RCaMP1a.
Table 2.
mRuby 1 pH 4.5 (PDB 3U0L) | mRuby 1 pH 8.5 (PDB 3U0M) | mRuby 2 (PDB 3U0N) | Ca2+-RCaMP (PDB 3U0K) | Ca2+-RGECO1 (PDB 4I2Y) | |
---|---|---|---|---|---|
DATA COLLECTION | |||||
Space group | P212121 | P212121 | I222 | P3221 | P21 |
Cell dimensions | |||||
a (Å) | 31.77 | 31.71 | 67.27 | 75.92 | 65.16 |
b (Å) | 67.44 | 67.08 | 82.52 | 75.92 | 91.73 |
c (Å) | 95.06 | 95.00 | 88.91 | 123.16 | 68.57 |
β (degrees) | 90 | 90 | 90 | 120 | 95.3 |
Beamline | APS 31-ID | APS 31-ID | APS 31-ID | APS 31-ID | ALS 8.2.2 |
Wavelength (Å) | 0.9793 | 0.9793 | 0.9793 | 0.9793 | 1.000 |
Resolution range (Å)a | 19.43 − 1.25 | 28.66 − 1.65 | 27.90 − 1.60 | 34.82 − 2.10 | 54.77 − 2.20 |
Total reflections | 595,508 | 256,831 | 277,856 | 404,612 | 151,067 |
Unique reflections | 56,036 | 24,632 | 32,955 | 24,607 | 40,865 |
Completeness (%) | 97.8 (95.8) | 97.9 (96.9) | 99.8 (100) | 99.9 (100) | 100 (100) |
I/σa | 16.5 (4.6) | 19.7 (4.6) | 11.7 (4.7) | 20.0 (6.7) | 8.8 (2.6) |
Rsym (%)a,b | 7.3 (56.2) | 7.1 (58.4) | 12.8 (51.3) | 10.3 (54.5) | 10.5 (58.8) |
REFINEMENT | |||||
Rwork/Rfree (%)c | 12.6/16.1 | 17.2/20.1 | 15.4/17.9 | 18.9/23.9 | 19.4/25.7 |
Resolution range (Å) | 20 − 1.25 | 30 − 1.65 | 30 − 1.60 | 22 − 2.10 | 54 − 2.20 |
Number of atoms (B factor) | |||||
protein | 1957 (14.4) | 1823 (19.7) | 1854 (12.5) | 3160 (15.6) | 6092 (30.9) |
water | 231 (28.7) | 146 (28.9) | 195 (26.2) | 133 (33.4) | 99 (27.0) |
other | 4 (20.3) | – | 10 (31.1) | 8 (41.0) | 8 (27.6) |
RMSD values | |||||
Bond lengths (Å) | 0.028 | 0.024 | 0.031 | 0.022 | 0.021 |
Bond angles (degrees) | 2.48 | 2.24 | 2.63 | 1.90 | 1.91 |
Ramachandran (%) | |||||
Favored/disallowed | 98.6/0 | 98.6/0 | 99.1/0 | 96.7/0.8 | 97.9/0.4 |
Molprobity | |||||
Clashscore (percentile) | 14.73 (17) | 7.37 (85) | 9.57 (67) | 10.4 (84) | 13.21 (79) |
Molprobity score (percentile) | 1.67 (60) | 1.57 (87) | 1.53 (87) | 2.08 (75) | 2.31 (66) |
The number in parentheses is for the highest resolution shell.
Rsym = Σihkl|Ii(hkl) – <I(hkl)>| / Σhkl <I(hkl)>, where Ii(hkl) is the ith measured diffraction intensity and <I(hkl)> is the mean of the intensity for the miller index (hkl).
Rwork = Σhkl|| Fo(hkl)| – |Fc(hkl)|| / Σhkl |Fo(hkl)|. Rfree = Rwork for 5% of reflections not included in refinement.
RCaMP1a was crystallized in the Ca2+-bound form and its structure was determined to 2.1 Å resolution by molecular replacement (Table 2). RCaMP crystallized as a monomer, consistent with solution measurements (Figures 3A, 2B,C).
Although the mRuby circular permutation was based on GCaMP, large differences between RCaMP and GCaMP in both the orientation of, and interface between, the CaM/M13 complex and the cpFP domain can be seen (Figures 3A,B). The CaM/M13 complex of Ca2+-RCaMP is generally similar to that of Ca2+-GCaMP (RMSD of 1.9 Å for 152 common Cα atoms), but adopts a slightly more closed and compact conformation. The cp-mRuby domain of RCaMP is structurally very similar to mRuby, with an RMSD of 0.5 Å for 209 Cα atoms. Strikingly, unlike GCaMP, there is no large opening in the side of the FP β-barrel created by the circular permutation of the mRuby domain in Ca2+-bound RCaMP (Figure 3B); the termini of cp-mRuby cross close to one another and produce minimal disruption to the β-barrel. In contrast to the construction of the original GCaMP protein (Nagai et al., 2001), no amino acids of mRuby were replaced by linker amino acids. As a consequence of the circular permutation, though, linker amino acids partake in β-barrel formation in the cp-mRuby domain of RCaMP1a: residue Asn143 of mRuby, which directly hydrogen bonds the phenolate oxygen of the chromophore, is spatially substituted by Thr294 of the second linker of RCaMP (Figure 3C); the crystal structure shows that the asparagine (Asn61 in RCaMP) is co-opted into the first linker. Mutagenesis of this threonine to any other amino acid, or deletion of amino acids to generate an opening similar to GCaMP, greatly diminishes fluorescence of RCaMP (data not shown).
In contrast with the chromophore in the structure of mRuby crystallized at pH 8.5, the RCaMP structure (crystallized at pH 7.5) shows the (4-hydroxybenzylidene)-imidazol-5-one moiety of the chromophore to be a cis-isomer (Figures 3C,D). Superimposition of both mRuby structures and the cp-mRuby domain of RCaMP demonstrates a slight (~1 Å) shift of the RCaMP chromophore (red structure in Figure 3C) relative to both isomers of the mRuby chromophore (cyan in Figure 3C). Closer inspection of the electron density map for the RCaMP chromophore revealed a discontinuity between Phe213 and Met214, which forms part of the chromophore (Met214-Tyr215-Gly216) (Figure 3D). The electron density map is consistent with imine hydrolysis of the RCaMP chromophore, resulting in a ketone on Met214, maintaining the extended π-conjugation of the red chromophore (thus 2-acyl-4-(4-hydroxybenzylidene)-imidazol-5-one), and an amide on Phe213 (Figures 3D,E). This imine hydrolysis results in a discontinuity in the polypeptide backbone of RCaMP, also observed by SDS-PAGE of purified protein samples (Figure 2D). R-GECO1 showed a comparable level of backbone cleavage, with two smaller protein bands corresponding to imine hydrolysis of the chromophore (Figure 2D). The electron density map for mRuby shows no significant imine hydrolysis (Figure 3D). However, after boiling in the presence of the reducing agent 2-mercaptoethanol during sample preparation for SDS-PAGE, cleavage products can clearly be detected (Figure 2D), in agreement with structural and SDS-PAGE analysis of the red FP DsRed (Gross et al., 2000). Equivalent amide hydrolysis is reported for the photoactivatable Kindling Fluorescent Protein (asFP595) (Tretyakova et al., 2007). Interestingly, cp-mRuby does not show significant levels of imine hydrolysis (Figure 2D), and also lacks chromophore formation (not shown). The red-shifting (~15 nm excitation, ~4 nm emission) of the RCaMP chromophore relative to mRuby may result from rearrangements around the chromophore, as seen for eqFP611, RFP611, RFP618, RFP630, and RFP639 (Kredel et al., 2008), or from planarization following chromophore hydrolysis.
In addition to mRuby and RCaMP, we also crystallized R-GECO1 (Zhao et al., 2011a) in the presence of Ca2+ and solved the crystal structure to 2.2 Å by molecular replacement (Table 2). Strikingly, the position of the CaM domain relative to cp-mApple is distinct from that seen in RCaMP and GCaMP (Figure 3A)—the homology model used during R-GECO1 design (Zhao et al., 2011a)—underlining the importance of structure determination in protein engineering. Many of the mutations incorporated into the R-GECO1 sensor during initial screening and selection (Zhao et al., 2011a) are concentrated at the proto-interface between mApple and CaM (Figure 3G), as is the case for RCaMP (Figure 3F). Three residues of the M13pep-cp-mApple linker (Val60, Val61, and Ser62) make hydrophobic and hydrogen-bonding contacts with CaM, cp-mApple, and the rest of the linker. Similar to GCaMP (Wang et al., 2008; Akerboom et al., 2009), the cp-mApple-CaM linker is not in close proximity to the chromophore, and no cp-mApple-CaM linker mutations were selected in R-GECO1 (Zhao et al., 2011a). In addition to the linkers, R-GECO1 mutations Gly79, Arg81, Cys129, Phe366, and Asn380 are in the vicinity of the proto-interface (Figure 3G). No backbone cleavage was observed in the vicinity of the R-GECO1 chromophore, as was seen in the RCaMP crystal structure. R-GECO-1-Lys78, from strand eight of cp-mApple, adjacent to the circular permutation site, forms an ionic interaction with the phenolate oxygen of the chromophore and is stabilized in place via a hydrogen bond from Ser62, immediately following the M13pep-cp-mApple linker (Figure 3H).
Optimization of RCaMP
The structure of RCaMP explains the initial selection of mutations resulting in RCaMP1a, and allowed us to prioritize sites of mutagenesis for additional rounds of sensor engineering. As in GCaMP (Wang et al., 2008; Akerboom et al., 2009), the circular permutation of mRuby and fusion of M13pep and CaM resulted in a tightly packed adventitious interface between CaM and cp-mRuby, excluding solvent from the chromophore environment. The first linker, connecting M13pep and cp-mRuby, comes in close proximity to the chromophore, and the strongly selected isoleucine side-chain packs tightly against the inter-domain linker of CaM and cp-mRuby. Thr294, originally from the translated MluI restriction site in the second linker, hydrogen-bonds the RCaMP chromophore, stabilizing it in the deprotonated state (Figure 3C). The spontaneous (PCR-derived) Asp114Ser mutation improves packing against the second linker, especially Gln297 (Figure 3F).
Both mutations from error-prone PCR mutagenesis, Ala112Tyr and Thr364Ile, improve packing at the mRuby-CaM interface (Figure 3F). The improved packing of the interface by these mutations simultaneously increases brightness, red state maturation completeness and kinetics, (ΔF/F)max, affinity and cooperativity. A second round of mutagenesis selected Gly109Ala, further improving packing at the mRuby-CaM interface (Figure 3F) in RCaMP1b, with increased affinity at a slight loss in (ΔF/F)max (Table 1). The GCaMP5 mutation CaM-Asp380Tyr (Akerboom et al., 2009) is positioned at the GFP-CaM interface near the GFP chromophore and led to an increase in the calcium-bound fluorescence of GCaMP (Akerboom et al., 2012a). The corresponding mutation to RCaMP1b, Asp372Tyr, gave rise to RCaMP1c, with (ΔF/F)max = 7.5 (Table 1). RCaMP1d was discovered as a spontaneous, fast-maturing mutant; faster chromophore maturation comes at the cost of affinity (1.6 ± 0.06 μM, s.d., n = 3) and (ΔF/F)max (6.5 ± 0.2, s.d., n = 3) (Table 1). RCaMP1d was found to contain the mutation Ala270Val; the corresponding mRuby mutation, Ala120Val, was independently observed recently during the generation of mRuby2 (Lam et al., 2012), which exhibits greater brightness and photostability. Deletion of the RSET peptide resulted in RCaMP1e, which was significantly dimmer in cells, perhaps indicating that RCaMP is stabilized in situ by this N-terminal fusion peptide, as were early GCaMP variants (Tallini et al., 2006). We attempted to increase affinity by introducing the CaM mutation Arg90Gly (Sorensen and Shea, 1996; Akerboom et al., 2012a) (RCaMP numbering Arg384Gly) and screening libraries around the four EF-hands of CaM, which produced RCaMP1f. Affinity surprisingly decreased slightly to 1.9 ± 0.08 μM (s.d., n = 3), but (ΔF/F)max rose to 12.3 ± 0.2 (s.d., n = 3; Table 1, Figures 2A,E). Lastly, targeted mutagenesis of the second linker (cp-mRuby-to-CaM; encompassing the Thr294-Arg295 linker, as in GCaMP, from the translated MluI site, as well as the subsequent residue Asp296) resulted in RCaMP1h, with 1.3 ± 0.06 μ M affinity, and (ΔF/F)max of 10.5 ± 0.1 (s.d., n = 3; Table 1, Figure 2A). The crystal structure of RCaMP1a suggests that the charge-reversal mutation Arg295Asp likely improves interactions with Arg116 from cp-mRuby (Figure 3F). (RCaMP1g did not perform well in initial characterization and was not pursued further).
Fluorescence response to Ca2+ titrations of purified RCaMP and R-GECO1 sensor proteins are shown in Figure 2E-left; a Hill plot of the data shows linear ranges (Figure 2E-right). All RCaMP variants after RCaMP-AI show near complete maturation to the red state and similar extent of backbone cleavage (Figure 2D). All RCaMPs behave as monomers in solution (Figures 2B,C) and are fluorescent indicators of Ca2+ under both 1- and 2- photon excitation (RCaMP1f is shown in Figure 2F).
Photophysical characterization of chromatic variants
Next we purified several RCaMP variants, as well as R-GECO1 and the parent fluorescence proteins mRuby and mApple, and subjected them to systematic photophysical characterization, under both 1- and 2-photon illumination. We have previously analyzed the fluorescence mechanism of the GCaMP calcium indicator (Akerboom et al., 2009; Mütze et al., 2012), which involves a Ca2+-dependent deprotonation of the p-hydroxybenzylideneimidazolinone chromophore, leading to increased fluorescence. In GCaMP, the quantum yield (QY; and fluorescence lifetime) of the Ca2+-bound (bright) and Ca2+-free (dim) states are identical; the fluorescence increase upon Ca2+ binding is manifested entirely as an increase in extinction coefficient (ε), reflecting a greater population of deprotonated, fluorescent chromophore (Mütze et al., 2012). Strikingly, in the RCaMP indicators we found that more of the Ca2+-dependent increase in brightness was attributable to changes in quantum yield and fluorescence lifetime, than to changes in the extinction coefficient (Table 3). The peak of the RCaMP Ca2+-bound state is slightly spectrally shifted relative to the unbound state (from ~8 nm blue-shifted to ~1 nm red-shifted, for the different RCaMP sensors). R-GECO1 shows a larger peak shift: 12 nm blue-shifting of absorption, and 10 nm blue-shifting of emission. Under 1-photon illumination, the parent protein mRuby is slightly brighter (brightness = ε × QY) than EGFP; the brightness of the Ca2+-bound state of the different RCaMP indicators is 66–86% that of mRuby (Table 3).
Table 3.
One-photon excitation | Two-photon excitation | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
λabs (λem), nm | εpeak (mM−1cm−1) | Quantum yield | Brightness, % (relative to EGFP) | ΔF/F 570ex, all em. | ΔF/F 1070ex, all em. | λabs (nm) | Peak brightness, 1070 nm (kcpsm) | |||||||||
+Ca2+ | −Ca2+ | +Ca2+ | −Ca2+ | +Ca2+ | −Ca2+ | +Ca2+ | −Ca2+ | +Ca2+ | −Ca2+ | +Ca2+ | ||||||
mRuby | 558(590) | 558(590) | 94.6 | 0.41 | 113 | 1060 | 4.0 | |||||||||
RCaMP1a | 576.5(595) | 575.5(594) | 56.7 | 34.8 | 0.45 | 0.12 | 75 | 12 | 4.1 | 4.3 | 1070 | 1070 | 5.9 | |||
RCaMP1c | 576.5(595) | 576.5(597) | 64.8 | 39.7 | 0.48 | 0.10 | 91 | 11.6 | 5.9 | 7.1 | 1070 | 1070 | 7.3 | |||
RCaMP1d | 572(592.5) | 575(597.5) | 57.8 | 25.4 | 0.52 | 0.13 | 88 | 9.6 | 8.7 | 11.1 | 1070 | 1070 | 7.7 | |||
RCaMP1f | 572(591.5) | 574(597) | 58.9 | 17.4 | 0.48 | 0.11 | 83 | 5.6 | 12.3 | 8.8 | 1070 | 1070 | 8.2 | |||
RCaMP1h | 571(594) | 575(602) | 65.1 | 18.7 | 0.51 | 0.14 | 97 | 7.7 | 10.0 | 10.9 | 1070 | 1070 | 8.1 | |||
mApple | 568(592) | 568(592) | 57.3 | 0.42 | 70 | 1070 | 7.0 | |||||||||
R-GECO1 | 564 (588) | 576(598) | 59.3 | 6.1 | 0.19 | 0.13 | 33 | 2.3 | 12.6 | 18.0 | 1065 | 1065 | 3.8 |
pH titrations of the new sensors show some complex effects; some blue and red GECIs exhibit multiple titratable groups affecting fluorescence (Figures 1, 2, Table 1). Intriguingly, for some sensors, the pKa of the Ca2+-bound state is higher than that of the Ca2+-free state (unlike GCaMP), implying that calcium binding decreases the acidity of the chromophore proton, increasing the protonated, and potentially non-fluorescent state of the chromophore (Tables 1, 3). The fact that the sensors nonetheless exhibit such large increases in fluorescence implies that the photophysical transitions upon calcium binding are more complicated than in GCaMP, consistent with the Ca2+-dependent increase in quantum yield, and the pH-dependent cis-trans conformational changes seen in RCaMP and other RFPs (Battad et al., 2007; Pletnev et al., 2008; Pletneva et al., 2011). R-GECO1, by contrast, shows a GCaMP-like Ca2+-dependent decrease of pKa from 8.9 to 6.6 (Zhao et al., 2011a), consistent with a fluorescence increase driven largely by extinction coefficient effects (Table 3).
Importantly, RCaMP shows large (ΔF/F)max signals under 2-photon illumination, on the order of the 1-photon signal change (Figure 2F). Under 2-photon illumination, the RCaMP sensors are red-shifted and surprisingly brighter than mRuby (Table 3). For the red indicators, excitation with either a Ti:Sapphire laser or an optical parametric oscillator (OPO) coupled to a primary exciplex laser produced large fluorescence changes upon calcium addition (Figure 2F).
Red FPs frequently exhibit poor photostability (Drobizhev et al., 2011); this is a serious drawback that limits their utility in experiments. Other photophysical phenomena also complicate usage; for instance, mApple shows significant photoswitching (Shaner et al., 2008). We examined the photoswitching and photobleaching properties of the red GECIs and their parent FPs under 1-photon (either lamp excitation or wide-field laser illumination) and 2-photon (laser) regimes. As published, mApple showed an immediate, ~50% drop in fluorescence upon illumination, which recovered slowly during darkness (data not shown). R-GECO1 showed similar rapid-photoswitching properties (Figure 4A), which may confound functional imaging. RCaMP1h displayed a more conventional, irreversible form of photobleaching, and appeared to bleach more slowly for the first several minutes of bright mercury lamp illumination (2.7 W/cm2). Two-photon illumination of HEK293 cells expressing RCaMP1h or R-GECO1 showed a somewhat faster decay of fluorescence for RCaMP1h compared to R-GECO1 (Figure 4B). However, 2-photon brightness of several RCaMPs was more than double that of R-GECO1 (Table 3, Figure 4C). Stopped-flow fluorescence showed that decay kinetics of R-GECO1 are about twice as fast as GCaMP5G; RCaMP1h is slightly slower than GCaMP5G (t1/2(decay): R-GECO1, 120 ms; GCaMP5G, 280 ms; RCaMP1h, 410 ms) (Figure 4D).
Strikingly, R-GECO1 displayed significant photoactivation after illumination (~2-fold) with 405 nm, 488 nm and 561 nm light for both calcium-free and calcium-loaded states of the protein, although the activation is different in nature between the two states. This effect was strongest for 488 nm, followed by 405 nm and approximately 10-fold less for 561 nm. Applying 1 s pulses of 488 nm light resulted in a red-shift in absorbance of calcium-loaded R-GECO1 (Figure 4E-left), resulting in a temporary decrease (~40%) in fluorescence when illuminated with 561 nm (Figure 4E-right). For calcium-free R-GECO1, 1 s pulses of 488 nm light resulted in an apparent decrease in absorbance of protonated chromophore and a simultaneous increase in absorbance in deprotonated chromophore (Figure 4F-left), mimicking the effect on fluorescence of calcium binding to R-GECO1 (Figure 4F-right) when illuminated with 561 nm light. This effect resulted in an apparent increase in fluorescence (~50%, Figure 4F-right). Photo-activation could be observed using a range of illumination intensities (0.056–0.66 mW/cm2, 488 nm, not shown). Transient decay of the photoactivated state for both calcium-free and calcium-loaded R-GECO1 followed one-phase decay kinetics, with a half-life of 560 ms and 940 ms, respectively (Figures 4H,I). There is also a wavelength shift in the transient fluorescence, a small red-shift of 2 nm for Ca2+-bound and 7.5 nm for Ca2+-free.
These photophysical effects are not observed for RCaMP (Figure 4G), suggesting that RCaMP may be a better sensor to be used in combination with optogenetic tools.
Characterization in HEK293 cells and neurons
The new sensors, as well as R-GECO1, were next tested in cultured HEK293 cells and neurons, according to protocols that we have established for optimizing GCaMP (Tian et al., 2009; Akerboom et al., 2012a,b). The red GECIs were first tested in transfected HEK293 cells following acetylcholine (ACh)-evoked Ca2+ mobilization (Figures 5A,B). Subsequently, cultured rat hippocampal neurons were infected with lentivirus driving GECI expression and imaged following AP elicitation with a bath electrode (1 AP per field stimulation) (Akerboom et al., 2012a) (Figures 5C,D). In both HEK293 cells and neurons, the RCaMP and R-GECO1 sensors were expressed in both the cytoplasm and nucleus, in contrast to GCaMP, which appears to have a cryptic nuclear-exclusion sequence (Tian et al., 2009). RCaMP- and R-GECO1- expressing cells appeared healthy; thus the nuclear expression does not seem to correlate with the “cytomorbid” state seen with long-term GCaMP over-expression (Tian et al., 2009). The expression in the nucleus may give rise to a slower, weaker Ca2+ response (Bootman et al., 2009) than the cytoplasmic response, with the conflated epifluorescence signal thus appearing slower and less sensitive to APs.
The four RCaMP sensors tested (1d, 1e, 1f, and 1h) performed similarly well in neurons, showing observable responses following a minimum of 5 field stimuli, and reaching a maximum ΔF/F of 1.0–1.5 after 160 field stimulations. RCaMP1f and RCaMP1h were approximately twice as bright in cultured neurons as the other RCaMPs, and displayed almost identical ΔF/F and SNR. R-GECO1 was more sensitive, responding to 2 APs. SNR for R-GECO1 was also higher than for the RCaMPs, although the RCaMPs are brighter (Figure 5D). YCaMP1b showed twice the response of the RCaMPs at higher numbers of field stimuli, but required a minimum of 20 field stimuli to observe any response. However, SNR for both RCaMP1f and RCaMP1h was higher than YCaMP1b at high field stimulations, as YCaMP1b is dimmer.
The RCaMPs were also somewhat slower than R-GECO1 in the rise and decay from electrical stimulation. For the 10 AP stimulation, the time-to-half-decay t1/2(decay) and time-to-half-rise t1/2(rise) values for the GECIs were (R-GECO1: 0.78 ± 0.13/0.09 ± 0.02 s, n = 15; RCaMP1d: 1.61 ± 0.85/0.29 ± 0.03 s, n = 16; RCaMP1e: 1.57 ± 0.20/0.29 ± 0.02 s, n = 13; RCaMP1f: 1.80 ± 0.33/0.27 ± 0.02 s, n = 16; RCaMP1g: 1.69 ± 0.63/0.28 ± 0.05 s, n = 16; RCaMP1h: 1.83 ± 0.30/0.32 ± 0.04 s, n = 15; all measurements s.d.).
Two-color sub-cellular imaging in neurons
Having established the baseline performance level of the RCaMP indicators in neurons, we sought to demonstrate the utility of RCaMP in two-color imaging, beginning by labeling two compartments of one cell. First, RCaMP1e was fused with an N-terminal cytochrome C oxidase subunit VIII tag for targeting to the mitochondrial matrix, expressed by AAV6 virus, and co-infected along with cytoplasmic GCaMP3.5 (Tian et al., 2009) (GCaMP3 without the CaM-Asn60Asp mutation; affinity ~3-fold lower than GCaMP3) into primary rat cortical neurons. Upon stimulation of Ca2+ release from the endoplasmic reticulum (ER) by addition of 10 mM caffeine, RCaMP fluorescence initially rose together with GCaMP fluorescence (Figure 5E), consistent with Ca2+ release from the ER through the mitochondrial-associated membrane (MAM) (Hayashi et al., 2009), while the bulk of Ca2+ released from the ER entered the cytoplasm before being buffered in mitochondria. Likewise, depolarization with 64 mM KCl demonstrated entry of extracellular Ca2+ into the cytoplasm and subsequently into mitochondria (Figure 5F). These experiments demonstrate the simultaneous visualization and tracking of sub-cellular Ca2+ fluctuations using RCaMP together with GCaMP. This paradigm may be expanded to tracking of sub-cellular Ca2+ mobilizations under various physiological or pathophysiological conditions in various cell types.
Two-color imaging in mixed culture of neurons and astrocytes
Communication between astrocytes and neurons has been implicated in information processing in the brain. We therefore sought to test the utility of dual-color neuron/astrocyte imaging using RCaMP1h and GCaMP5G (Akerboom et al., 2012a) (Figure 6). RCaMP1h is 80 nm red-shifted relative to GCaMP5G; therefore signals from each population of cells are expected to be easily deconvoluted. First, RCaMP was expressed in cultured rat hippocampal neurons via AAV2/1-synapsin1 virus infection; GCaMP5G was expressed in astrocytes via AAV2/1-GFAP virus (Figure 6A). The two infected cell populations were then co-cultured. One week post-infection, we observed robust labeling of neurons only with RCaMP and astrocytes only with GCaMP. Simultaneous dual-color imaging of neuronal and astrocytic responses to field stimulations was then performed. The number and magnitude of evoked calcium events in both neurons and astrocytes increased with the number of evoked APs, and most importantly, dual-color imaging revealed the spatiotemporal relationship between field stimulus-evoked neuronal and astrocytic calcium responses (Figures 6B–D). At lower number of field potential stimuli, calcium events could be detected only in astrocytes in close proximity to responding neurons (Figures 6B,C). Following larger stimuli, more neuronal activity was detected, which triggered broad astrocytic calcium events in the imaged field (Figure 6B). The peak responses of astrocytes typically lagged neuronal responses by ~1 s (Figure 6D). These results clearly show that dual-color imaging with RCaMP and GCaMP (and other indicators) holds great promise to dissect neuron-astrocyte, or other inter-cellular, communication.
Imaging RCaMP activity in Drosophila larval motor neuron terminals
We next sought to establish RCaMP performance in Drosophila larvae using the GAL4-UAS system (Brand and Perrimon, 1993). We drove expression of RCaMP1f in larval motor neurons using a GAL4 driver line specific for glutamatergic neurons [OK371-GAL4 (Mahr and Aberle, 2006)]. Muscle 13 neuromuscular junctions (NMJs) were then imaged in dissected fillet preparations. Motor neuron terminals showed bright fluorescence; RCaMP transients in the terminals were imaged under 1-photon illumination in response to motor nerve stimulation (Figure 7A). Terminals showed little or no response to long (2 s) bursts of APs at 1–10 Hz (Figure 7B). Above 20 Hz, motor terminals showed modest peak amplitudes, peaking at ~30% ΔF/F in response to 160 Hz stimulation (Figure 7C). RCaMP responded slowly to all stimulation frequencies; times to half-peak and half-decay were ~1 s at 40, 80, and 160 Hz (rise and decay time constants could only be accurately measured at the highest stimulation frequencies).
Imaging sensory-evoked Ca2+ transients in worms
We subsequently imaged RCaMP activity in the AWC neurons of C. elegans in response to odor addition and removal sequences, as previously described (Akerboom et al., 2012a). RCaMP1a and RCaMP1e were selected for testing. All RCaMP constructs were expressed in the AWCon sensory neuron under the control of the str-2 promoter. After 10 s of observation, odor (IAA @ 10−4 v/v) was added for 5 min. At the last 10 s of odor addition, imaging was commenced for another minute to observe the neuron's response to odor removal (the AWCon neuron activates in response to odor removal). Interestingly, RCaMP1a outperformed RCaMP1e during IAA addition; ΔF/F and SNR of RCaMP1a were higher compared to RCaMP1e for IAA addition (Figure 7D), although RCaMP1e showed almost identical ΔF/F and SNR upon odor removal.
In addition, we demonstrated the utility of RCaMP1h in visualizing contractions of the pharyngeal muscles (strain ZX1423; zxEx795[pmyo2::RCaMP1h; pmyo-3::eCFP]). Worm heads were cut off (Avery et al., 1995), placed in an imaging chamber in buffer Em D50, and illuminated with a 590 nm LED (80 mW/cm2). As a control, worm heads of another transgenic strain (expressing mCherry in pharynx muscle) were imaged separately. RCaMP1h signal tracked pharyngeal pumping events, with large, reproducible increases up to ~40% ΔF/F (Figure 7E). In control animals, mCherry signal did not vary during the same preparation, indicating that motion artifacts play no role in the observed RCaMP signal (Figure 7E, bottom).
In vivo imaging in zebrafish trigeminal neurons
We next imaged activity in trigeminal sensory neurons of 48 h post-fertilization zebrafish using RCaMP1a and RCaMP1b (Figure 7F). Trigeminal neurons are usually silent, and fire one or a few spikes in response to light touch (Douglass et al., 2008). We recorded fluorescence changes in response to trains of brief (1 ms) pulses of electrical field stimulation (Materials and Methods). Both indicators performed similarly, giving steadily increasing responses for trains of 20–320 pulses, reaching a maximum ΔF/F of about 100% (Figure 7F-left) and SNR of ~25 (Figure 7F-right).
Integrated optogenetics/imaging with RCaMP and channelrhodopsin-2 (ChR2)
As discussed above, simultaneous light-mediated activation of neural activity (optogenetics) and fluorescent imaging of activity (either in the same or a different cell) is currently quite difficult, as the action spectra of opsins are very broad (Zhang et al., 2011), overlapping the excitation spectra of commonly used indicators such as GCaMP, Yellow Chameleon, and TN-XXL. In such regimes it is impossible to image the indicator without inadvertently driving the actuators, precluding baseline measurements. Furthermore, activators are typically driven with strong light intensities to achieve fast, reliable cell depolarization, and this can bleach indicators if they overlap. Integrated, non-overlapping imaging/optogenetics will enable qualitatively new sorts of neuroscience experiments, such as mapping projections of numerous single neurons through brain tissue, akin to an “all-optical” channelrhodopsin-assisted circuit mapping (CRACM) experiment (Petreanu et al., 2007). To facilitate such experiments, GECIs must either be red-shifted past effector action spectra, or effectors must be shifted away from GECI excitation. Significant progress has been made at red-shifting optogenetic activators (the C1V1 variant (Yizhar et al., 2011b) being the most red-shifted variant available, with maximum absorption at 550 nm); however, the action spectrum of this effector still substantially overlaps GECI excitation. Therefore, blue light activation combined with red Ca2+ indicators appears to be the best option for integrated optogenetics. The use of R-GECO1 and its mutants in combination with ChR2 in pyramidal neurons has been recently reported (Chang et al., 2012; Ohkura et al., 2012). However, the blue light-induced photoactivation of RGECO-1, as described above in protein and below in vivo, calls into question the nature of the fluorescent transients in these papers. Both papers employed mammalian neurons, which have sufficient levels of all-trans retinal (ATR) to support ChR2 function. In both cases, no ChR2-free controls to exclude the possibility of R-GECO1 blue-light photoactivation being the principal contributor to the observed signals were performed. Our results with R-GECO1 suggest that some or all of the observed signals previously reported on may be artifactual.
First, we tested RCaMP1e together with ChR2-Thr159Cys [ChR2(TC)] (Berndt et al., 2011), as well as GCaMP3 (Tian et al., 2009) with the red-shifted channelrhodopsin C1V1 (Figure 8A). Initial experiments were performed in cultured cells, using GECIs directly fused to effector proteins (Figure 8A), in order to measure Ca2+ flux into the depolarized cells close to the cell membrane (Figure 8B). This arrangement creates equimolar amounts of effector and sensor, largely controlling for expression level differences in this preliminary intra-cellular assay. To measure Ca2+ flux we employed a stable HEK cell line expressing the leaky mTrek potassium channel and a voltage-gated calcium channel (CaV3.2). In darkness, membrane voltage is controlled by extracellular potassium. Upon light-activation of ChR, cells depolarize and subsequent CaV3.2 opening leads to an increase in intracellular [Ca2+] (Figure 8B). Expression of the two fusion constructs was comparable (Figure 8C). The excitation spectrum of GCaMP3 and the action spectrum of C1V1 show significant overlap compared to RCaMP1e and ChR2(TC) (Figure 8D). To characterize the level of cross-activation we first tested photocurrent amplitudes induced by light of 400, 450, and 560 nm, for both constructs (Figure 8E). ChR2(TC) exhibits virtually no activation at 560 nm (near the peak of RCaMP1e excitation), but can be activated with 400 and 450 nm (Figure 8F). C1V1 shows activation of more than 40% at all tested wavelengths, including GCaMP3 excitation at 450 nm (Figures 8E,F).
The separation of ChR2(TC) activation and RCaMP excitation allowed intense, simultaneous stimulation and imaging, at 450 nm (56 mW/cm2) and 560 nm (20 mW/cm2), respectively (Figure 8G-top). With 2 mM extracellular [Ca2+], 300 ms pulses of 450 nm light were sufficient to open calcium channels, giving rise to robust RCaMP transients (7.5 ± 0.9%, s.d. 5.43, n = 36), although variability between single-trial traces was relatively high (Figure 8H). Although it was also possible to image GCaMP3 fluorescence in conjunction with C1V1 activation, the spectral overlap required the excitation beam to be significantly attenuated (0.7 mW/cm2, 440 nm light), which produced very little fluorescence (Figure 8G-bottom). With 5 mM extracellular [Ca2+], 300 ms pulses of 560 nm light yielded only small increases in GCaMP3 fluorescence (3.7 ± 0.1%, s.d. 0.43, n = 7) (Figure 8H). Increasing extracellular [Ca2+] improved fluorescence signals in both preparations (Figure 8H), with the RCaMP increases reaching 35% (ΔF/F)max, and GCaMP3 increases reaching 6% (ΔF/F)max. Addition of the calcium channel blocker mibefradil abolished signals in both cases, indicating that very little Ca2+ is flowing directly through the opsins (Figure 8H) (Prigge et al., 2010).
Having established integrated optogenetics with RCaMP and ChR2 in cell culture, we then deployed them in vivo in C. elegans, expressing RCaMP in muscles, and ChR2 either in muscles as well, or in the upstream motor neurons. RCaMP expression was bright and restricted to muscles (Figure 9A). First, we tested the performance of RCaMP1e in visualizing spontaneous muscle contractions, in semi-restrained animals (Figure 9B). Fluorescence traces in ROIs from the dorsal and ventral sides showed clear antiphasic fluorescence increases (Figure 9C), consistent with expected muscle contractions during crawling. Fluorescence increases approached 50–60% during spontaneous muscle contraction.
Next ChR2 was co-expressed in muscles alongside RCaMP1e or RCaMP1h, to compare the responses of light-evoked contractions to spontaneously arising ones. Worms lack ATR, thus to facilitate ChR2 activation, worms were cultivated in the presence of ATR. Negative control experiments were performed in the absence of added ATR. Light pulses from a blue LED (100 ms, 470 nm, 50 mW/cm2) were used to activate ChR2; little photobleaching of RCaMP was seen during experiments. RCaMP was excited with a yellow-orange LED (590 nm, 79.3 mW/cm2), which elicits no activation of ChR2 (Figures 8D,E, 9D–H). The blue light stimulus caused a small fluorescence increase in the RCaMP channel, due to autofluorescence from the tissue (Figures 9D–F,I). To account for this, background signals were subtracted from images during the photostimulation, when prolonged stimuli were applied (Figures 9G–I). Blue light pulses evoked large, slow RCaMP transients in muscles; signals were comparable to those from naturalistic muscle contractions, although they decayed more slowly (Figure 9D). In the absence of retinal, no RCaMP signal increases were observed. Thus, the observed RCaMP signals are due exclusively to ChR2-evoked activity, and not to any potential artifacts.
Subsequently, we expressed ChR2 in cholinergic motor neurons [transgene zxIs6, using the punc-17 promoter (Liewald et al., 2008)], pre-synaptic to muscle cells, and RCaMP1h in muscles. Again, we presented 100 ms blue light pulses and could detect a subsequent Ca2+ increase on the order of that seen from spontaneous muscle contraction and ChR2-evoked muscle depolarization (Figure 9E). The cholinergic neuron-evoked signal reached its peak after ~3 s and returned to baseline after ~12 s (Figure 9E). Again, this signal increase was only observed if retinal was added during cultivation. In muscles that were not transgenic for RCaMP, but nevertheless were innervated by ChR2-positive neurons, no fluorescence increase could be observed (Figure 9F). Similarly small amounts of autofluorescence were observed between RCaMP-positive and RCaMP-negative worms (data not shown).
We further characterized the motor neuron-induced Ca2+ transients in muscles expressing RCaMP1e. We presented prolonged photostimuli (1.2 s, 470 nm) to the ChR2-expressing cholinergic neurons; robust responses were seen only in RCaMP1e- positive muscles (Figure 9G). With increasing intensity of ChR2 activation, Ca2+ transients in muscles rose accordingly, from ~2% to ~25% (ΔF/F)max, for 1 and 50 mW/cm2 stimulus intensity, respectively (Figure 9H).
Above we showed that R-GECO1 shows dramatic reversible photoactivation by blue and green light, both in the presence and absence of Ca2+. We subsequently extended these results in vivo, imaging R-GECO1 with ChR2 expressed in cholinergic neurons. Although red fluorescence transients were observed upon blue light stimulation, identical responses were observed in worms not supplemented with ATR (Figure 9I), suggesting the signals result not from ChR2 activation of the muscles, but from photoactivation of R-GECO1. Interestingly, the half-life of fluorescence decay for R-GECO1 in C. elegans was similar to the half-life of photoactivation (Figures 4H,I, 9I). This illustrates that not only does R-GECO1 photoactivation produce a confounding signal to neural activity imaging, but also that the time course of the artifact is sufficiently similar to responses expected from Ca2+ transients following trains of APs that it may be mistakenly assigned as such (Chang et al., 2012; Ohkura et al., 2012; Wu et al., 2013).
Discussion
We have generated a set of new chromatic GECIs based either on GCaMP or the FP mRuby. These multi-colored sensors will enable new biological experiments. We demonstrate intra-cellular two-color imaging of mitochondria/cytoplasm, and inter-cellular two-color imaging of neurons/astrocytes. Importantly, we provide a demonstration of fully integrated in vivo imaging/optogenetics, using functional indicators and light-gated effectors with independently addressable spectra.
New indicators are shown in the blue, cyan, yellow, and red color channels. For cyan and yellow, these are the first single-wavelength Ca2+ indicators in these spectral ranges. BCaMP dynamic range is comparable to B-GECO1; it is possible that the mutations in the two sensors may be additive. Systematic comparison of the RCaMP indicators with R-GECO1 reveals several advantages and drawbacks of the two scaffolds. R-GECO1 shows fast (~ms) reversible photobleaching, which partially recovers in darkness and can be pumped back to the bright state by blue or green light. In addition, R-GECO1 appears to be subject to dramatic photoactivation, rendering optogenetic implementation of this indicator problematic. These properties seem to be inherited from the mApple fluorescent protein, which shows similar photoswitching behavior (Shaner et al., 2008). No such switching behavior was observed for the sensor classes developed here. In purified protein, the RCaMP sensors were ~3 times brighter than R-GECO1 under 1-photon excitation, and twice as bright under 2-photon illumination. The two sensors showed similar, large Ca2+-dependent fluorescence increases in purified protein (1-photon: RCaMPs, 4-12.5×; R-GECO1, 12.5×; 2-photon: RCaMPs, 4–18×; R-GECO1, 18×), although R-GECO1 appeared to have a higher affinity for Ca2+. In cultured neurons, R-GECO1 showed larger and faster responses to APs. YCaMP showed large responses to long spike trains; the blue and cyan indicators likely require additional rounds of optimization before they are applicable in vivo.
Despite their structural similarity, the sensors manifest different mechanisms of Ca2+-dependent fluorescence changes. Similar to GCaMP (Nakai et al., 2001; Tallini et al., 2006; Mütze et al., 2012), the Ca2+-dependent fluorescence of R-GECO1 is driven largely by an increase in extinction coefficient. For GCaMP, this corresponds to a decrease in pKa of the chromophore upon Ca2+ binding (Akerboom et al., 2009). R-GECO1 shows a small increase in quantum yield, but a nearly 10-fold increase in extinction coefficient. On the other hand, BCaMP, B-GECO1, and CyCaMP show a Ca2+-dependent increase in quantum yield, with little change in extinction coefficient. The responses of the RCaMP and YCaMP variants are roughly equally divided between the two.
Crystal structures of mRuby at low and high pH revealed a cis-trans chromophore isomerization in acidic environments. The high-resolution crystal structure of RCaMP1a shows that the relative conformation of the FP and CaM domains is significantly rotated relative to the GCaMP structures (Wang et al., 2008; Akerboom et al., 2009), as well as the R-GECO1 structure reported here. The adventitious mRuby-CaM interface in RCaMP shows that different CaM residues are recruited than in GCaMP, and further rationalizes many of the mutations to mRuby, CaM and the two inter-domain linkers that gave rise to and improved RCaMP responses. Delineation of this interface should facilitate additional rounds of targeted mutagenesis to improve function, as was demonstrated for GCaMP (Tian et al., 2009; Akerboom et al., 2012a). A large number of the R-GECO1 mutations found during initial optimization are present in the FP-CaM interface as well.
Interestingly, in the crystal structure of RCaMP we observed an imine hydrolysis between Phe213 and Met214, resulting in a cleavage of the polypeptide backbone at the chromophore, and SDS-PAGE showed corresponding fragmentation of a significant portion of the purified RCaMP samples. For R-GECO1, no backbone cleavage could be detected in the crystal structure, however, during SDS-PAGE, a similar fragmentation as for RCaMP is visible. Given the observation of the backbone cleavage both for SDS-PAGE and crystal structures, it is quite possible that the red GECIs exist as split proteins in situ. It is unclear what effect this backbone cleavage has on the sensor properties of RCaMP and R-GECO1, as we could not separate the cleaved and uncleaved species in order to study them independently. The significant red-shifting of RCaMP relative to mRuby may result from this backbone cleavage, perhaps relieving strain in the mRuby chromophore. The RCaMP indicators are also brighter under 2-photon excitation than the parent FP mRuby, in part due to the higher QY and photostability of RCaMP.
The crystal structure of R-GECO1 reveals that the relative orientation of the mApple and CaM domains is significantly shifted relative to that in GCaMP, and thus relative to the homology model used to first rationalize the R-GECO1 mutations (Zhao et al., 2011a). The selection of proline in the first linker of B-GECO1, GEM-GECO1, and R-GECO1 is consistent with our results for GCaMP (Akerboom et al., 2012a) and bacterial periplasmic binding protein-based sensors for maltose (Marvin et al., 2011), organophosphorous (Alicea et al., 2011), and glutamate (Marvin et al., 2013). Mutations selected in the creation of GCaMP, RCaMP, and R-GECO1 are concentrated in the interface between CaM and the cpFP domain. The proper packing of such proto-interfaces, and presumably the resulting regulation of the conformational change between ligand-free and ligand-bound forms, has thus emerged as a critical factor in all cpFP-based sensors developed to date. Intriguingly, the Lys47Val and Thr49Val mutations of “R-CaMP1.07” (Ohkura et al., 2012) (a double mutant of R-GECO1) are at the bottom of the cp-mApple barrel, and the mechanism of their apparent improvement remains unknown.
We have illustrated the design and optimization of several new chromatic classes of calcium indicators, and applied RCaMP to in vivo imaging in worms, zebrafish, and the Drosophila larval NMJ. Photobleaching under 2-photon excitation currently limits deep in vivo imaging for both RCaMP and R-GECO1. Improved versions of these indicators, with greater photostability and response to APs (and no confounding photoactivation), could allow deep multi-photon functional imaging, with lower background and phototoxicity. Additionally, it may be advantageous to target the new GECIs for nuclear exclusion (Krebs et al., 2012); cytoplasmic Ca2+ responses to APs are stronger and faster than nuclear signals (Bootman et al., 2009), and conflating the two [RCaMP and R-GECO1 do not appear to have cryptic nuclear exclusion sequences as does GCaMP (Tian et al., 2009)] may artificially depress and lengthen transients.
We demonstrate 2-color imaging using RCaMP together with the green sensor GCaMP, both between cell compartments within cells, and between different cell types. We have recently used RCaMP, in conjunction with a green sensor of extracellular glutamate (Marvin et al., 2013), to simultaneously image synaptic input into, and output from, neurons in C. elegans (Marvin et al., 2013). Importantly, we show robust integration of RCaMP with optogenetics, with orthogonal activation and functional imaging, both in cultured cells and in partially restrained C. elegans. We have recently used this technique to demonstrate functional, genetically specified synaptic connections in living worms by all-optical methods (Husson et al., 2012). Simultaneous, independent addressing of activation and imaging will enable “closed loop” optogenetics experiments, wherein functional imaging data is used dynamically to update activation. We show that R-GECO1 is not suited for use in optogenetic experiments due to its blue light-dependent photoswitching behavior. It might be possible that using a reduced intensity level of blue stimulation together with the proper ChR2- or ATR-null controls, these photoswitching effects with R-GECO1 could be minimized, or accounted for. Showing no signs of photoactivation, though, the RCaMP sensors are the best-suited indicators for simultaneous, and eventually “closed-loop,” optogenetics and functional imaging.
Materials and methods
Initial RCaMP construction
For the red protein in RCaMP we selected mRuby (Kredel et al., 2009). DNA encoding mRuby was generated by assembly PCR (Stemmer et al., 1995), and cloned in pRSETa (Invitrogen, USA). We decided to test two different circular permutation sites in mRuby; (1) between Pro142 and Thr143 in beta strand seven [homologous to cpEGFP in GCaMP (Nakai et al., 2001)], and (2) between His196 and Arg197 in beta strand 10 [in close proximity to a potential planar trans conformation of the chromophore in mRuby, as described for its parental protein eqFP611 (Petersen et al., 2003)]. M13pep and CaM DNA, including linkers, were identical to their counterparts present in GCaMP3 (Tian et al., 2009). We also swapped the M13pep and CaM domains for each circular permutation site. Assembly of the four resulting RCaMP constructs was performed as follows; the four different parts (the N-terminal (from Met1 to Pro142 and from Met1 to His196) and C-terminal part (N143 to G227 and Arg197 to G227) of mRuby, the DNA encoding the M13pep including (M1 to E60) and DNA encoding CaM (T302 to K450) (mRuby and GCaMP3 numbering, respectively) were PCR amplified from GCaMP3 and mRuby DNA. Seven codon overlaps were encoded in the primers. PCR products were purified by gel extraction, pooled in equimolar amounts for the corresponding constructs, and assembled in a PCR assembly reaction. One to five microliter of this reaction was then used as a template in a following PCR reaction using primers annealing to the N-terminus and C-terminus of the final PCR product. Resulting DNA was gel purified, digested with NdeI and HindIII and ligated into pre-digested pRSETa and sequenced for verification.
Directed evolution and rational optimization of RCaMP
M13pep-cpmRuby linker screen
Only BL21(DE3) colonies containing the RCaMP construct with the circular permutation site between Pro142 and Thr143 and the M13pep on the N-terminus and CaM attached to the C-terminus displayed very dim red fluorescence after 120 h incubation at 4°C. To improve maturation of RCaMP, we chose to first randomize the M13-cpmRuby linker Leu-Glu to either three amino acids (XXX) or two amino acids (XX) by Kunkel mutagenesis (Kunkel et al., 1991) and screen for faster maturing variants. Mutagenesis was performed as described previously (Akerboom et al., 2009, 2012b). Kunkel reactions were transformed into E. coli XL1-Blue (Stratagene), successful transformants were scraped off plates, pooled together, and the linker libraries in pRSETa were isolated using the Qiagen Miniprep kit (Qiagen, Germany). One microliter of each library was subsequently transformed to BL21(DE3) for high-level expression, plated on 244 mm × 244 mm LB-agar plates, resulting in two libraries of approximately 10,000 variants each. Plates with colonies were stored at 4°C, and were checked for fluorescence after 12, 24, 36, 48, and 60 h using an Olympus MVX10 microscope with proper lamps and filter sets. A total of 384 clones were selected for analysis by picking colonies that displayed the strongest red fluorescence at each time point. Candidates were grown for two days at 30°C in ZYM-5052 auto-induction media (Studier, 2005) containing ampicillin in 96-well deep well blocks. Five microliter of each culture was used to inoculate 2YT media for plasmid purification and sequencing.
Fluorescence intensity and signal-change measurements of variant libraries were performed in bacterial lysate as follows: BL21(DE3) cell pellets were resuspended in 400 μl lysis buffer (20 mM TRIS.HCl, 1 mM MgCl2, 1 mg/ml lysozyme, 1.5 Kunitz units DNase-I/ml) and incubated at 30°C while shaking (120 rpm) for 2 h. Lysates were subsequently clarified by centrifugation (20 min, 4000× g at 4°C). Ninety-five microliter of each sample was transferred to a UVStar 96-well plate (Greiner, Germany) and fluorescence was measured in a Tecan Safire2 (Tecan Group Ltd., Switzerland) spectrophotometer at 585 nm excitation—610 nm emission wavelengths before and after subsequent additions of 2 μl 0.1 M EGTA and 5 μl 0.1 M CaCl2. Four faster maturing variants with a calcium-dependent fluorescence increase greater than 100% in E. coli lysate were selected and the corresponding plasmids were sequenced. The four candidates contained the following M13-cpmRuby linkers: Cys-Ile (RCaMP-CI), Arg-Ile (RCaMP-RI), Pro-Arg-Ile (RCaMP-PRI), and Ala-Ile (RCaMP-AI). For each of the different linkers multiple candidates were selected with different codons for the isoleucine present in all the variants selected, ruling out enrichment of specific clones during the mutagenesis reaction for this amino acid and indicating the importance of an isoleucine at this linker position.
To analyze this set of four RCaMP variants as purified proteins, we re-transformed the plasmids into E. coli BL21(DE3), and inoculated 500 ml ZYM-5052 (Studier, 2005) containing ampicillin. The cultures were allowed to grow at 200 rpm shaking at 37°C until visibly turbid, after which the temperature was lowered to 30°C. Cultures were incubated at 30°C for 36 h while shaking at 200 rpm. Protein was purified via nickel affinity purification as described previously (Akerboom et al., 2009). Comparing fluorescence of purified proteins under calcium-free and calcium-loaded conditions gave ΔF/F0 values of 2.2 ± 0.1 for RCaMP-CI, 2.3 ± 0.05 for RCaMP-RI, 1.8 ± 0.2 for RCaMP-PRI, and 2.7 ± 0.1 for RCaMP-AI. Due to the potential reactivity of the cysteine in the M13 linker of RCaMP-CI we decided to continue with RCaMP-RI, RCaMP-PRI, and RCaMP-AI.
Random mutagenesis
To further optimize speed of maturation and brightness, we performed random mutagenesis on RCaMP-AI, RCaMP-RI, and RCaMP-PRI using error-prone PCR. The Genemorph II kit was used according to the manufacturer's instructions (Stratagene, USA). Primers were designed to anneal directly outside of RCaMP in the pRSETa construct. Template concentrations were set to generate around 3 mutations per kb. PCR mutagenesis products were gel-purified, digested with NdeI and HindIII, ligated into pRSETa and subsequently transformed to E. coli XL1-Blue. Transformants were scraped off agar plates, pooled, and plasmids were isolated with the QIAGEN miniprep kit (Qiagen). Five microliter of purified plasmid DNA was subsequently transformed to E. coli BL21(DE3). Colonies were allowed to develop fluorescence for 24 h at 4°C before being checked for red fluorescence under a wide-field stereomicroscope equipped with a red filter set. Four hundred variants that developed visible red fluorescence after 24 h were selected and grown for two days at 30°C in ZYM-5052 media (Studier, 2005) containing ampicillin in 96-well deep well blocks. Five microliter of each well was subsequently used to inoculate 2YT media for plasmid purification and sequencing. The ZYM-5052 cultures were pelleted and stored at −20°C. Bacterial lysate preparation and fluorescence measurements were performed as described for the M13pep-cpmRuby screen. From this random mutagenesis screen, four variants with improved fluorescence maturation characteristics stood out: RCaMP-PRI-1 (G21D, T148I, S151R, T364M, N391S, N431Y), RCaMP-PRI-2 (P224Q, G109R, E325A), RCaMP-RI-1 (Y25Q, T219I, S311P), RCaMP-AI-1 (T148A, A210V, D372G).
Directed mutagenesis
Mutagenic sites resulting from the random mutagenesis screen, as well as T60, D61, H111, A112, V113, and H115, chosen from inspection of the eqFP611 (Petersen et al., 2003) and mRuby crystal structures, were selected for saturation mutagenesis. We chose to use RCaMP-AI as a template, because it had the highest ΔF/F0 of the four M13-cpmRuby linker variants. The site-specific libraries were created by Kunkel mutagenesis using primers containing NNS at the codon of interest as described for the M13pep-cpmRuby, and were screened as described for the PCR mutagenesis mutants, except that colonies were not screened for red fluorescence but instead were picked randomly with a QPix2XT colony picker (Genetix, UK).
Four mutations that improved RCaMP brightness, maturation and ΔF/F0 significantly (G109A, A112Y, T364I, and D372Y) were combined to produce RCaMP1c. One additional spontaneous mutation, A270V, which lowered affinity and ΔF/F in vitro, but sped up the maturation dramatically, was also incorporated and was named RCaMP1d.
To further enhance RCaMP1d, we randomized positions K136, T294, and the cpmRuby-CaM linker R295-D296, tested the following directed mutations: L56Q, I60L, H77I, H77E, V140F, V140L, R384G, and I424S. These mutations were located at the interface between domains in the crystal structure, had close proximity to the domain linkers, or were predicted to influence calcium binding. We screened combinatorial libraries of these mutants as described for the M13pep-cpmRuby linker variants, using the QPix2XT colony picker (Genetix, UK) to randomly select variants. Mutations which improved ΔF/F0 or affinity were the cpmRuby-CaM linker R295D-D296S, R384G, and I424S. Combinations of these mutations resulted in two final RCaMP variants; RCaMP1f and RCaMP1h (Table 1, Figure 2A).
Construction of YCaMP, CyCaMP, and BCaMP
YCaMP, CyCaMP, and BCaMP were constructed by Quikchange mutagenesis (Stratagene, USA) using GCaMP3 (Tian et al., 2009) in pRSETa as template. Reactions were performed according to the manufacturer's instructions and constructs were sequenced for verification. We used combinations of published mutations to generate the different excitation and emission characteristics. For YCaMP, we used V115Y and K118V to shift the excitation/emission to yellow. For cyan, we used Y223W and Y223W in combination with S229A to generate CyCaMP1a and CyCaMP1b, respectively. For BCaMP, we initially mutated Thr222Ser and Tyr223His. This resulted in a very dim non-responsive BCaMP1a, so we screened variants of both the M13pep-cpEBFP and cpEBFP-CaM linker as described above. We found two linker variants (LeuGlu to MetPro for M13pep-cpEBFP linker and ThrArg to PhePro for cpEBFP-CaM linker) with improved brightness and ΔF/F0.
Protein expression and purification
Proteins were expressed and purified as described previously (Akerboom et al., 2009), with the following adaptations: proteins were expressed at 30°C for 36 h for RCaMP and at 25°C for the other color variants.
Size exclusion chromatography
To examine the oligomeric state of RCaMP, an aliquot of purified protein in 20 mM Tris, pH 8.0, 100 mM NaCl, 2 mM CaCl2 was injected onto a Superdex 200 SEC column with 20 mM Tris, pH 8.0, 100 mM NaCl, 2 mM CaCl2 as the running buffer.
Crystal structure determination
mRuby, RCaMP, and R-GECO1 proteins were expressed in E. coli BL21(DE3) from the pRSETa plasmid (Invitrogen). Proteins were purified by immobilized metal ion affinity and SEC. The N-terminal tag encoded by the pRSET vector was cleaved from mRuby proteins using enterokinase prior to SEC. Proteins were concentrated to ~10 mg/mL for crystallization using centrifugal concentrators (Millipore) with a 10 kDa molecular weight cut-off (MWCO). Crystallization using commercially available sparse matrix screens (Hampton Research) was done by mixing 1.2 μL of protein solution with 1.2 μL of precipitant in 96-well plates. X-ray diffraction data were collected at 100 K at the LRL-CAT beamline (31-ID) of the Advanced Photon Source. X-ray diffraction data were processed using Mosflm (Leslie, 1992; Battye et al., 2011)/Scala (Winn et al., 2011) (Table 2). Structures were solved by molecular replacement using Phaser (McCoy et al., 2007) with previously published structures of EqFP611 (PDB 3E5W) (Petersen et al., 2003), mCherry (PDB 2H5Q) (Shu et al., 2006) and CaM-M13 (from GCaMP, PDB 3EK7) (Akerboom et al., 2009). Iterative cycles of model building in Coot (Emsley et al., 2010) and refinement in Refmac/CCP4 (Winn et al., 2011) led to the final models described in Table 2.
Spectrophotometric analysis of purified protein
Fluorescence spectra were obtained as described previously (Akerboom et al., 2009). In short, pure proteins were dialyzed into 20 mM TRIS.HCl, pH 8.0, 100 mM NaCl and diluted 10-fold into zero-free calcium buffer (Invitrogen) for calcium-free spectra, and in 39 μM free-calcium buffer (Invitrogen) for calcium-loaded spectra. For absorbance spectra, undiluted samples were taken and EGTA or CaCl2 was added to a final concentration of 10 mM. Affinity measurements were done in calcium standards prepared by mixing different amounts of 39 μM free calcium buffer and zero calcium free buffer together according to http://maxchelator.stanford.edu (Patton et al., 2004) and the manual provided with the calcium kit. Measurements were taken in a Tecan Safire2 (Tecan Group Ltd., Switzerland), and data was analyzed using the GraphPad Prism software package (http://www.graphpad.com/prism/Prism.htm).
Stopped-flow kinetic analysis
The kinetics of calcium release by the indicators was determined from a single exponential fit to the fluorescence decay following rapid mixing of 1 μM protein samples in 10 μM calcium with a solution of 10 mM EGTA at room temperature, both buffered with 50 mM MOPS, 100 mM KCl at pH 7.2, using a stopped-flow device (Applied Photophysics) coupled to a fluorometer (Varian).
pH titrations
The pKa of both calcium-bound and calcium-free fluorescent indicators was determined by measuring the fluorescence at different pH values. Purified protein was diluted 20-fold into buffer A (20 mM Glycine, 20 mM Citrate, 20 mM TRIS.HCl) at different pH values, containing 2mM CaCl2 for calcium-loaded spectra and 2 mM BAPTA for calcium-free spectra.
SDS-PAGE analysis
For SDS-PAGE, small (15 μL) protein samples were mixed with 5 μL LDS Sample buffer (Life Technologies, USA) supplemented with 2-Mercaptoethanol, incubated at 100°C for 5 min, cooled on ice, and loaded onto pre-cast NuPAGE Bis-Tris gels (Invitrogen), and run at 50 V in MES buffer provided, until satisfactory migration of protein bands was reached. Protein mass was determined by running 5–10 μL SeeBlue Plus2 protein marker (Life Technologies, USA) in parallel. Gels were stained with staining buffer [50% methanol, 10% glacial acid, 40% distilled water, 1 g/L coomassie brilliant blue R-250 (FisherBioscience)], and destained with destaining buffer (similar to staining buffer, with coomassie brilliant blue omitted). Gels were imaged using an AlphaImager HP (ProteinSimple, USA), and sizes were calculated using the AlphaEaseFC software package (Genetic Technologies, Inc., USA).
Photophysical measurements
Photophysical measurements were taken on purified protein in buffer (30 mM MOPS, 100 mM KCl) in the absence (10 mM EGTA) or presence (10 mM Ca-EGTA) of free Ca2+ (calcium calibration buffer kits, Invitrogen). All solutions had a measured pH of 7.28 ± 0.08. Absorption measurements were performed on a UV/VIS spectrophotometer (Lambda 35, Perkin Elmer) with 2-nm slit settings. Emission spectra were taken on a fluorescence spectrometer (LS55, Perkin Elmer) with 5 nm slit settings, using a quartz microcuvet to obtain excitation spectra in the UV in addition to the visible range. Quantum yield measurements were performed with an integrating-sphere spectrometer (Quantaurus, Hamamatsu), using protein solutions with an absorbance of about 0.1 OD at 570 nm. Two-photon spectroscopy measurements were performed on an inverted microscope (IX-81, Olympus) outfitted with a 60× 1.2 NA objective, using an 80 MHz Ti:Sapphire laser (Chameleon, Coherent) spanning 700–1080 nm, as described previously (Akerboom et al., 2012a; Mütze et al., 2012). An extended wavelength range (1000–1400 nm) was accessed by the addition of an OPO (Chameleon OPO, Coherent). Fluorescence collected by the objective, after passing through shortpass and bandpass filters (720SP, 625/90, Semrock), was detected using a fiber-coupled avalanche photodiode (APD) (SPCM_AQRH-14, Perkin Elmer), which operates in single-photon counting mode. Output pulses from the APD were fed to an autocorrelator (Flex03LQ, Correlator.com). This system was run under computer control with automated data acquisition, and allowed us to determine the two-photon-excited fluorescence excitation spectra. To perform time-resolved fluorescence lifetime measurements, we employed a fast-timing APD (PDF-CCTB, Micro Photon Devices) fed into a single-photon counting board (TimeHarp200, PicoQuant). We used two-photon-excited fluorescence correlation spectroscopy (FCS) to quantify chromophore concentration and two-photon specific brightness using EGFP at known concentration as a reference to calibrate the excitation volume. All FCS autocorrelation fits were performed using a custom fitting program in MatLab (Vijay Iyer, unpublished). We also used FCS to determine the fluorescence rate per molecule, or specific brightness, given by <F>/N = <F>G(0), as the laser power is varied. The peak brightness, the maximum value of the specific brightness, provides a metric to compare the photostability under two-photon illumination (Mütze et al., 2012). One-photon photobleaching measurements were made in an upright microscope (Imager.Z2, Zeiss), using a 20× 0.85NA objective, with illumination from either a Hg-lamp (excitation filter 550/25, Semrock), or a 561-nm laser (Sapphire 561 LP, Coherent). The intensity at the sample was 2.7 W/cm2 for lamp illumination, and 6.0 W/cm2 for 561-nm laser illumination. Samples consisted of proteins in aqueous buffer droplets (50 mM MOPS, 100 mM KCl, 1 mM CaCl2, 0.1% BSA, pH 7.3) suspended in a nonpolar solvent (1-octanol) between two coverslips, following the method of Kremers and Piston (2010). Fluorescence from individual droplets contained within the area of uniform illumination was collected by the objective, passed through a bandpass filter (605/70, Semrock), and sent to either a CCD camera (CoolSnapEZ, Roper) or an APD to record the emission with high temporal resolution. In order to investigate photoswitching in the protein samples, additional illumination by a 405 laser (Sapphire 405 LP, Coherent) was combined along the path of the 561-nm laser. All light sources were outfitted with shutters, and exposure sequences were set by a custom software program.
Transient absorption and emission of R-GECO1 following 488-nm excitation
Absorption and emission properties of R-GECO1 and RCaMP1h were measured using a sub-microcuvet (16.40F-Q-10/Z15, Starna Cells) of 0.036 cm2 area and 1 cm path length, in a setup providing 488-nm laser light delivered to the cuvet under shutter control, and a counter-propagating probe beam of lamp-light transiting through the same area of the cuvet. The transmitted probe light was sent to a fiber-coupled CCD-based spectrometer (QE65000, Ocean Optics), which captured and stored full absorption spectra of 100-ms duration at a frame rate of 10 s−1. Optical density was calculated from -Log[S(1)/So(1)], where So(1) is the lamp-light signal recorded at each wavelength of the spectrometer in the absence of R-GECO1 and S(1) the signal measured with R-GECO1 present. Due to baseline drifting for this setup, we found it useful over the course of long experiments to determine just the transient absorption, ΔOD, from −Log[Spost-488(1, t)/Spre-488(1)].
Transient fluorescence was recorded in this setup from side-window measurements of the cuvet. Emission light was focused onto a fiber-coupled florescence spectrometer (Pixis256E CCD + SB-2358 Acton spectrograph, Princeton Instruments), capable of recording 100 ms per spectra at a frame rate of 7.9 s−1. The transient fluorescence was excited by weak 561 nm light (0.025 W/cm2). Measurements at 10-fold higher intensity yielded equivalent results, indicating the weak 561 nm light was not perturbing the photophysics.
Excitation laser light overfilled the 0.036 mm2 open area of the cuvet, and incident intensities for 488, 405, and 561 nm were determined from measurements of laser power transmitted through the cuvet containing buffer only, divided by the open area of the cuvet (0.036 cm2). Laser exposure time was controlled with a shutter (Uniblitz) under software control. The spectrometers were operated in free-running data-acquisition mode, i.e., not synchronized to the laser shutter. However, we could determine accurately the timing from the end of the 488-pulse to the beginning of the first and subsequent data frames from laser fiducials appearing in each frame.
Samples of R-GECO-1 or RCaMP1h were diluted in the microcuvet containing buffer (MOPS/KCl/10mM-EGTA, pH 7.25), and data taken for this “no-calcium” case. Following these measurements, CaCl2 was added to provide 10 mM final concentration in the buffer, the sample allowed to equilibrate, and measurements performed for the “+ Ca” case. Absorption experiments were performed for 3 concentrations (5, 10, 20 μM) and fluorescence experiments performed at 10 μM and 3 μM, in order to assess possible concentration effects (none observed).
HEK293 cell acetylcholine Ca2+ mobilization assay
RCaMPs were cloned into pCAGGS by PCR amplification, subsequent digestion with AgeII and NotI and ligation into predigested pCAGGS (Niwa et al., 1991). Constructs were sequenced for verification. Transfections were done in low passage number HEK293 cells using the Amaxa 96 nucleofector kit (Lonza Group Ltd., Switzerland). Cells were then incubated for 48 h in DMEM.HG (Corning, USA) supplemented with 10% Fetal Bovine Serum (FBS) at 37°C, 10% CO2. Media was renewed after 24 h. After 48 h, growth media was aspirated and 100 μl 1× TBS buffer supplemented with 2 mM CaCl2 was gently pipetted on top of the cells. Imaging was performed immediately afterwards in an FDSS plate reader (Hamamatsu, Japan). Dilutions of acetylcholine in 1× TBS supplemented with 2mM CaCl2 were added 10 s after read initiation. Data was analyzed using the GraphPad Prism software package (http://www.graphpad.com/prism/Prism.htm).
Hippocampal and cortical neuronal culture imaging
Procedures were as described previously (Akerboom et al., 2012a). Briefly, dissociated hippocampal or cortical neurons obtained from P0 rat pups were plated in 24-well plates and transduced with GECI variants expressed from the human synapsin-1 promoter using lentivirus or adeno-associated virus (AAV). Fluorescent signals were imaged concomitant with trains of APs at 30 Hz, induced by field electrode stimulation. Imaging data were analyzed using a customized algorithm in MATLAB (MathWorks).
Channelrhodopsin—HEK293 cell measurements
All fluorescence experiments were performed on an IX70 microscope (Olympus, Tokyo, Japan) with a 40× and 1.35 N.A. oil objective (Fluar Zeiss, Germany). For dual-wavelength excitation of ChR and RCaMP1e or GCaMP3, two independent light sources were applied. For RCaMP1e and GCaMP3 excitation we used a Polychrome V unit (TILL Photonics, Planegg, Germany) set to 560 nm or 440 nm (FWHM 7 nm), respectively. ChRs were activated with a 75W-Xenon lamp (Leistungselektronik Jena, Jena, Germany) bandpass filtered either with 450 nm (FWHM 15 nm) or 560 nm (FWHM 15 nm) (AHF Analysentechnik, Tübingen, Germany). Both light sources were controlled by the Tillvision Software (TILL Photonics, Planegg, Germany). The xenon lamp was modulated via a fast shutter (Uniblitz, Rochester, NY). Fluorescence was selected via a dichroic mirror (FF01-468/553-25, Semrock, Rochester, NY) and projected onto a CCD camera (Imago, TILL Photonics, Planegg, Germany). Fluorescence was sampled every 3 s at an exposure time of 500 ms and a resolution of 320 × 20 pixels (2 × 2 binning). ΔF/F was calculated by subtracting the baseline fluorescence level (average of 20 data points before ChR activation) and subtracted from the actual fluorescence response and normalized to F0. All fluorescence data was background corrected.
Electrophysiology was performed as previously described (Prigge et al., 2010). Briefly, patch pipettes were pulled from micro-haematocrit-tubes (Hecht-Assistant, Sondheim, Germany). Pipettes were then filled with (in mM): 110 NaCl, 10 EGTA, 2 MgCl2, 2 CaCl2, 2 KCl, and 10 HEPES buffer (pH 7.5). External solution contained (in mM): 140 NaCl, 2 KCl, 2 MgCl2, 1, 2, 5, or 10 CaCl2 and 10 HEPES (pH 7.2). pH and osmolarity were adjusted with NMG/HCl to 7.2 and Glucose to 280 or 320 mOsm, respectively. Voltage clamp measurements were performed with a HEKA EPC 7 amplifier (Heka Electronics, Darmstadt, Germany) and visualized with pClamp Software (Molecular Devices, Foster City, CA).
A HEK293 cell line constitutively expressing CaV3.2 and mTrek (Yao et al., 2006) was transfected one day after seeding using Fugene HD (Roche, Indianapolis, IN). Fluorescence or electrophysiology was performed one day after transfection. ATR was added into cell growth media to a final concentration of 1 μM.
C1V1 or ChR2(TC) were fused C-terminally to GCaMP3 or RCaMP1e by overlap-extention PCR. The product was cloned into pECFP-N1 (Clontech, Mountainview, CA) via NheI and XbaI digestion and subsequent ligation.
Imaging GECIs in C. elegans with channelrhodopsin photostimulation
For Ca2+ imaging of body wall muscles, worms were fully or partially immobilized by gluing them with surgical glue (Octyl Cyanoacrylate) onto 2% agar pads in M9 buffer. RCaMP1e and RCaMP1h fluorescence was measured on an inverted fluorescence microscope (Zeiss, Axio Observer) equipped with two high power light-emitting diodes (LEDs; 590 and 470 nm, KSL70 Rapp Optoelektronik), coupled with a beam splitter that allows simultaneous illumination at two wavelengths, for excitation of RCaMP, as well as for photostimulation of ChR2. The filter set for imaging consisted of a double band pass excitation filter 479 and 585 nm combined with a 605 nm beam splitter and a 647/57 band pass filter for emission (AHF Analysentechnik: F74-423, F38-605, F37-647). Illumination protocols were run using the Lambda SC Smart Shutter controller (Sutter Instruments). Videos were obtained with a CCD camera (Photometrics Coolsnap HQ2, Roper Scientific). Calcium traces were taken by a 40× oil immersion objective (Zeiss EC Plan Neofluar 40× 1.3 NA) and analyzed using ImageJ (http://rsbweb.nih.gov/ij/index.html), generating ROIs for single or few muscle cells that did not show major movement. As a control, muscles in animals raised in the absence of ATR were analyzed, or non-transgenic muscles next to the measured transgenic muscle (animals contained extra-chromosomal arrays of RCaMP1e, and expression was thus subject to minor mosaicism). Data were calculated to obtain ΔF/F. For some experiments involving prolonged photostimulation, the fluorescence increase due to the autofluorescence was deduced by taking the fluorescence value of the first video frame of the blue stimulus, and subtracting this value from each measured fluorescence value during the photostimulus. To obtain normal fluorescence images, the same microscope was used with a HBO 100 lamp and a filter set for red fluorescent probes, e.g., Cy3. Some animals were only partially immobilized by gluing, to allow motility, and the ROIs were then traced manually for analysis, using non-ambiguous anatomical landmark features that could be followed even under fluorescence imaging. For Ca2+ imaging of the pharynx, heads were cut off and placed in an imaging chamber (ALA Scientific Instruments) in buffer Em D50 (140 mM NaCl, 3 mM KCl, 3 mM CaCl2, 1 mM MgCl2, 50 mM D-Mannitol, 10 mM HEPES, pH 7.3). Worm heads were illuminated with yellow light (80 mW/cm2) using a 590 nm LED and filterset as described above. Calcium traces were taken by a 25× Oil immersion objective (Zeiss LCI Plan-Neofluar 25 × 0.8 Imm Corr DIC) and analyzed by ImageJ, generating ROIs for terminal bulb and background. As a control, worms expressing mCherry in the pharynx (pmyo2::mCherry) were used. Data were calculated to obtain ΔF/F. Pump events were either scored by eye, judging the slight movements visible in the image stream (for RCaMP), or by analyzing kymographs of line scans through the terminal bulb (mCherry), where the lumen opening could be easily visualized.
Imaging GECIs in C. elegans AWCon sensory neuron
The same experimental protocol was used as in previous GCaMP experiments (Akerboom et al., 2012a). All recordings are from the AWCon sensory neuron. After 10 s of observation, odor (IAA @ 10−4 dilution) was added for 5 min. At the last 10 s of odor addition, imaging was commenced for another minute to observe the neuron's response to odor removal (the AWCon neuron activates in response to odor removal).
Imaging RCaMP1f activity in Drosophila motor neuron terminals
Genetics and animal preparation
To generate larvae expressing RCaMP in motor neuron terminals, we crossed pJFRC7-7.20XUAS-RCaMP1f flies to a GAL4 driver (OK371-GAL4) that expresses in all glutamatergic neurons (Mahr and Aberle, 2006). Resulting larvae were raised on standard media at 25°C. Wandering third instar larvae were then dissected in physiological saline containing (in mM) 135 NaCl, 5 KCl, 2 CaCl2, 4 MgCl2, 5 TES, 36 sucrose, pH 7.15. Animals were filleted as described previously (Pulver et al., 2009; Akerboom et al., 2012a) and in each preparation, the central nervous system was dissected away leaving only peripheral nerves and muscles. Larval fillets were then mounted on a standard electrophysiology rig equipped with a gravity fed perfusion system. Saline containing 7 mM glutamic acid was constantly superfused over preparations before imaging to reduce movement artifacts. Temperature was maintained at ~22°C.
Stimulation parameters
To stimulate motor axons, cut segmental nerves were drawn into a suction electrode attached to a Model 2100 isolated pulse stimulator (A-M Systems, Sequim, WA). The electrode was maneuvered using a MP-285 micromanipulator (Sutter Instruments, Novato, CA). 2.9 V, 300 μS pulses were delivered at 1, 10, 20, 40, 80, 160 Hz for 2 s durations. Approximately 20 s intervals separated each stimulation frequency; each frequency was repeated at least twice for every terminal examined.
Acquisition hardware and software
To visualize RCaMP-expressing motor neuron terminals, we used an Olympus BX51wi compound microscope equipped with a filtered (band bass 572 ± 17.5 nm) white LED light source (OptoLED, Cairn Instruments, Kent, UK) and GFP/mCherry excitation and emission filters (Chroma Technology, Bellows Falls, VT). LED light intensity was kept under 0.37 mW/mm2 to reduce bleaching. An Andor DU897 EMCCD camera (Andor Technologies, Belfast, Northern Ireland) was used to capture image data (7.12 fr/s) during nerve stimulations. We simultaneously recorded nerve stimulation times and temperature using a Powerlab 16/30 data acquisition system and Chart 7.1 software (both from AD Instruments, Colorado Springs, Co.). Image data and stimulation times were synchronized off-line using custom scripts in MATLAB (Mathworks, Natick, MA).
Image analysis
Motor neuron terminals on muscle 13 (m13) in abdominal segments 3–6 were targeted for analysis. Regions of interest (ROIs) were manually drawn on the 3 most proximal boutons on each m13 muscle. Small lateral shifts in terminal location were corrected off line using image stabilization plugins in ImageJ (Schneider et al., 2012). Percent change in fluorescence from baseline (ΔF/F) was then calculated for each ROI using custom scripts in MATLAB; intensity values from each ROI were averaged to obtain data for each terminal. A total of eight terminals were measured in four animals (2 terminals per animal). Amplitudes and time courses of ROI signals were analyzed using custom scripts in Spike2 (Cambridge Electronic Design, Cambridge, UK).
RCaMP activity in zebrafish trigeminal neurons
mitfa−/− (nacre) zebrafish were maintained under standard conditions at 28°C and a 14:10 h light:dark cycle. Larvae were raised in E3 embryo medium (5 mM NaCl, 0.17 mM KCl, 0.33 mM CaCl2 and 0.33 mM MgSO4). Embryos were injected at the 1 cell stage with 20 ng/μl plasmid DNA encoding RCaMP under the control the pan-neuronal elavl3/HuC promoter (elavl3:RCaMP), and 40 ng/μL Tol2 transposase mRNA diluted in E3 medium with 0.025% Phenol Red. Forty-eight hour post-fertilization embryos showing expression in isolated trigeminal neurons were treated with 1 mg/mL bath-applied alpha-cobratoxin for 15 min to block tail movements. They were mounted in 1.5% low melting temperature agarose, and imaged using an microscope with a 40×/0.8NA objective lens (Olympus) and a CCD camera (Hamamatsu Orca). 1 ms field stimuli were applied using two mesh electrodes in the bath and a stimulator (Grass SD9). Stimulation voltage was calibrated to the threshold to elicit a behavioral response to one pulse in the set up. One spike in a trigeminal neuron has previously been shown to be sufficient to elicit tail movement (Douglass et al., 2008). Software written in LabView (National Instruments) was used for image acquisition and stimulus control. ROI were selected manually, and data was analyzed using MATLAB (MathWorks).
Author contributions
Jasper Akerboom, Eric R. Schreiter, Loren L. Looger conceived the project. Jasper Akerboom designed and optimized the sensors. Nicole C. Calderón, Karen S. Sarkisyan, Jonathan S. Marvin assisted in library screening. Lin Tian performed the neuron-astrocyte experiments. Sebastian Wabnig, Elisabeth Fischer, Christina Schüler, Alexander Gottschalk performed the integrated optogenetics/functional imaging experiments in worms, as well as the pharyngeal imaging. Matthias Prigge, Peter Hegemann performed the integrated optogenetics/functional imaging experiments in cultured cells. Johan Tolö, Sebastian Kügler performed the mitochondria/cytoplasm imaging. Andrew Gordus, Cornelia I. Bargmann tested RCaMPs in worm chemosensory neurons. Michael B. Orger, Kristen E. Severi analyzed RCaMPs in zebrafish. John J. Macklin, Ronak Patel performed photophysical characterization. Stefan R. Pulver tested RCaMPs in flies. Trevor J. Wardill, Tsai-Wen Chen, Douglas S. Kim, Lin Tian, Nicole C. Calderón, Leon Lagnado performed the electrophysiological calibration of the GECIs in cultured neurons. Jasper Akerboom, Eric R. Schreiter solved the protein crystal structures. Jasper Akerboom, Eric R. Schreiter, Loren L. Looger managed the project.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We would like to thank Helen White for assistance with cell culture; Amy Hu and Brenda Shields for histology assistance; Melissa Ramirez and Stefanie Hampel for cloning; and the Molecular Biology Shared Resource for support with molecular biology. We thank Florian Engert for support of and advice on the zebrafish experiments. Alexander Gottschalk would like to acknowledge support from Goethe University Frankfurt; Deutsche Forschungsgemeinschaft (DFG), grant EXC115; European Union FP7 grant “EUTrigTreat.” Johan Tolö and Sebastian Kügler were supported by German Research Council (DFG) Grant MI 685/2-1.
Glossary
Abbreviations
- AP
action potential
- FP
fluorescent protein
- GFP
green fluorescent protein
- GECI
genetically encoded calcium indicator
- FRET
Förster resonance energy transfer
- ACh
acetylcholine
- ChR2
channelrhodopsin-2
- C1V1
ChR1-VChR1 chimera
- PAGE
polyacrylamide gel electrophoresis
- RMSD
root mean square deviation
- SNR
signal-to-noise ratio.
Genbank
RCaMP1h has been deposited in NCBI GenBank (http://www.ncbi.nlm.nih.gov/genbank/) under accession number KC572547.
Construct availability
RCaMP1h DNA and viruses are available from AddGene (http://www.addgene.org;#70014) or the University of Pennsylvania Vector Core (http://www.med.upenn.edu/gtp/vector_core.shtml), respectively.
Protein structures
X-ray structures have been deposited in the Protein Data Bank (http://www.rcsb.org). Accession codes are shown in Table 2.
References
- Ai H. W., Henderson J. N., Remington S. J., Campbell R. E. (2006). Directed evolution of a monomeric, bright and photostable version of Clavularia cyan fluorescent protein: structural characterization and applications in fluorescence imaging. Biochem. J. 400, 531–540 10.1042/BJ20060874 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ai H. W., Shaner N. C., Cheng Z., Tsien R. Y., Campbell R. E. (2007). Exploration of new chromophore structures leads to the identification of improved blue fluorescent proteins. Biochemistry 46, 5904–5910 10.1021/bi700199g [DOI] [PubMed] [Google Scholar]
- Akerboom J., Chen T. W., Wardill T. J., Tian L., Marvin J. S., Mutlu S., et al. (2012a). Optimization of a GCaMP calcium indicator for neural activity imaging. J. Neurosci. 32, 13819–13840 10.1523/JNEUROSCI.2601-12.2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Akerboom J., Tian L., Marvin J. S., Looger L. L. (2012b). Engineering and application of genetically encoded calcium indicators, in Genetically Encoded Functional Indicators, ed Martin J.-R. (New York, Heidelberg, Dordrecht, London: Humana Press, Springer; ), 125–147 [Google Scholar]
- Akerboom J., Rivera J. D., Guilbe M. M., Malave E. C., Hernandez H. H., Tian L., et al. (2009). Crystal structures of the GCaMP calcium sensor reveal the mechanism of fluorescence signal change and aid rational design. J. Biol. Chem. 284, 6455–6464 10.1074/jbc.M807657200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alicea I., Marvin J. S., Miklos A. E., Ellington A. D., Looger L. L., Schreiter E. R. (2011). Structure of the Escherichia coli phosphonate binding protein PhnD and rationally optimized phosphonate biosensors. J. Mol. Biol. 414, 356–369 10.1016/j.jmb.2011.09.047 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Avery L., Raizen D., Lockery S. (1995). Electrophysiological methods. Methods Cell Biol. 48, 251–269 [PMC free article] [PubMed] [Google Scholar]
- Battad J. M., Wilmann P. G., Olsen S., Byres E., Smith S. C., Dove S. G., et al. (2007). A structural basis for the pH-dependent increase in fluorescence efficiency of chromoproteins. J. Mol. Biol. 368, 998–1010 10.1016/j.jmb.2007.02.007 [DOI] [PubMed] [Google Scholar]
- Battye T. G., Kontogiannis L., Johnson O., Powell H. R., Leslie A. G. (2011). iMOSFLM: a new graphical interface for diffraction-image processing with MOSFLM. Acta Crystallogr. D Biol. Crystallogr. 67, 271–281 10.1107/S0907444910048675 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Belousov V. V., Fradkov A. F., Lukyanov K. A., Staroverov D. B., Shakhbazov K. S., Terskikh A. V., et al. (2006). Genetically encoded fluorescent indicator for intracellular hydrogen peroxide. Nat. Methods 3, 281–286 10.1038/nmeth866 [DOI] [PubMed] [Google Scholar]
- Berg J., Hung Y. P., Yellen G. (2009). A genetically encoded fluorescent reporter of ATP:ADP ratio. Nat. Methods 6, 161–166 10.1038/nmeth.1288 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Berndt A., Schoenenberger P., Mattis J., Tye K. M., Deisseroth K., Hegemann P., et al. (2011). High-efficiency channelrhodopsins for fast neuronal stimulation at low light levels. Proc. Natl. Acad. Sci. U.S.A. 108, 7595–7600 10.1073/pnas.1017210108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bootman M. D., Fearnley C., Smyrnias I., Macdonald F., Roderick H. L. (2009). An update on nuclear calcium signalling. J. Cell Sci. 122, 2337–2350 10.1242/jcs.028100 [DOI] [PubMed] [Google Scholar]
- Boyden E. S., Zhang F., Bamberg E., Nagel G., Deisseroth K. (2005). Millisecond-timescale, genetically targeted optical control of neural activity. Nat. Neurosci. 8, 1263–1268 10.1038/nn1525 [DOI] [PubMed] [Google Scholar]
- Brand A. H., Perrimon N. (1993). Targeted gene expression as a means of altering cell fates and generating dominant phenotypes. Development 118, 401–415 [DOI] [PubMed] [Google Scholar]
- Burgoyne R. D. (2007). Neuronal calcium sensor proteins: generating diversity in neuronal Ca2+ signalling. Nat. Rev. Neurosci. 8, 182–193 10.1038/nrn2093 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carlson H. J., Cotton D. W., Campbell R. E. (2010). Circularly permuted monomeric red fluorescent proteins with new termini in the beta-sheet. Protein Sci. 19, 1490–1499 10.1002/pro.428 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chang Y. F., Arai Y., Nagai T. (2012). Optogenetic activation during detector “dead time” enables compatible real-time fluorescence imaging. Neurosci. Res. 73, 341–347 10.1016/j.neures.2012.05.007 [DOI] [PubMed] [Google Scholar]
- Chou J. J., Li S., Klee C. B., Bax A. (2001). Solution structure of Ca(2+)-calmodulin reveals flexible hand-like properties of its domains. Nat. Struct. Biol. 8, 990–997 10.1038/nsb1101-990 [DOI] [PubMed] [Google Scholar]
- Chow B. Y., Han X., Dobry A. S., Qian X., Chuong A. S., Li M., et al. (2010). High-performance genetically targetable optical neural silencing by light-driven proton pumps. Nature 463, 98–102 10.1038/nature08652 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Denk W., Yuste R., Svoboda K., Tank D. W. (1996). Imaging calcium dynamics in dendritic spines. Curr. Opin. Neurobiol. 6, 372–378 10.1016/S0959-4388(96)80122-X [DOI] [PubMed] [Google Scholar]
- Douglass A. D., Kraves S., Deisseroth K., Schier A. F., Engert F. (2008). Escape behavior elicited by single, channelrhodopsin-2-evoked spikes in zebrafish somatosensory neurons. Curr. Biol. 18, 1133–1137 10.1016/j.cub.2008.06.077 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dreosti E., Odermatt B., Dorostkar M. M., Lagnado L. (2009). A genetically encoded reporter of synaptic activity in vivo. Nat. Methods 6, 883–889 10.1038/nmeth.1399 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Drobizhev M., Makarov N. S., Tillo S. E., Hughes T. E., Rebane A. (2011). Two-photon absorption properties of fluorescent proteins. Nat. Methods 8, 393–399 10.1038/nmeth.1596 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Emsley P., Lohkamp B., Scott W. G., Cowtan K. (2010). Features and development of Coot. Acta Crystallogr. D Biol. Crystallogr. 66, 486–501 10.1107/S0907444910007493 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Faas G. C., Raghavachari S., Lisman J. E., Mody I. (2011). Calmodulin as a direct detector of Ca2+ signals. Nat. Neurosci. 14, 301–304 10.1038/nn.2746 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goedhart J., Van Weeren L., Hink M. A., Vischer N. O., Jalink K., Gadella T. W., Jr. (2010). Bright cyan fluorescent protein variants identified by fluorescence lifetime screening. Nat. Methods 7, 137–139 10.1038/nmeth.1415 [DOI] [PubMed] [Google Scholar]
- Griesbeck O., Baird G. S., Campbell R. E., Zacharias D. A., Tsien R. Y. (2001). Reducing the environmental sensitivity of yellow fluorescent protein. Mechanism and applications. J. Biol. Chem. 276, 29188–29194 10.1074/jbc.M102815200 [DOI] [PubMed] [Google Scholar]
- Gross L. A., Baird G. S., Hoffman R. C., Baldridge K. K., Tsien R. Y. (2000). The structure of the chromophore within DsRed, a red fluorescent protein from coral. Proc. Natl. Acad. Sci. U.S.A. 97, 11990–11995 10.1073/pnas.97.22.11990 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo Z. V., Hart A. C., Ramanathan S. (2009). Optical interrogation of neural circuits in Caenorhabditis elegans. Nat. Methods 6, 891–896 10.1038/nmeth.1397 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hayashi T., Rizzuto R., Hajnoczky G., Su T. P. (2009). MAM: more than just a housekeeper. Trends Cell Biol. 19, 81–88 10.1016/j.tcb.2008.12.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heim R., Prasher D. C., Tsien R. Y. (1994). Wavelength mutations and posttranslational autoxidation of green fluorescent protein. Proc. Natl. Acad. Sci. U.S.A. 91, 12501–12504 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heim R., Tsien R. Y. (1996). Engineering green fluorescent protein for improved brightness, longer wavelengths and fluorescence resonance energy transfer. Curr. Biol. 6, 178–182 10.1016/S0960-9822(02)00450-5 [DOI] [PubMed] [Google Scholar]
- Hou B. H., Takanaga H., Griesbeck O., Frommer W. B. (2009). Osmotic induction of calcium accumulation in human embryonic kidney cells detected with a high sensitivity FRET calcium sensor. Cell Calcium 46, 130–135 10.1016/j.ceca.2009.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huber D., Gutnisky D. A., Peron S., O'Connor D. H., Wiegert J. S., Tian L., et al. (2012). Multiple dynamic representations in the motor cortex during sensorimotor learning. Nature 484, 473–478 10.1038/nature11039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Husson S. J., Costa W. S., Wabnig S., Stirman J. N., Watson J. D., Spencer W. C., et al. (2012). Optogenetic analysis of a nociceptor neuron and network reveals ion channels acting downstream of primary sensors. Curr. Biol. 22, 743–752 10.1016/j.cub.2012.02.066 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ibraheem A., Yap H., Ding Y., Campbell R. E. (2011). A bacteria colony-based screen for optimal linker combinations in genetically encoded biosensors. BMC Biotechnol. 11:105 10.1186/1472-6750-11-105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ichimura T., Fujita H., Yoshizawa K., Watanabe T. M. (2012). Engineering strain-sensitive yellow fluorescent protein. Chem. Commun. (Camb.) 48, 7871–7873 10.1039/c2cc32541a [DOI] [PubMed] [Google Scholar]
- Ivashkin P. E., Lukyanov K. A., Lukyanov S., Yampolsky I. V. (2011). A synthetic GFP-like chromophore undergoes base-catalyzed autoxidation into acylimine red form. J. Org. Chem. 76, 2782–2791 10.1021/jo200150b [DOI] [PubMed] [Google Scholar]
- Jaffe D. B., Johnston D., Lasser-Ross N., Lisman J. E., Miyakawa H., Ross W. N. (1992). The spread of Na+ spikes determines the pattern of dendritic Ca2+ entry into hippocampal neurons. Nature 357, 244–246 10.1038/357244a0 [DOI] [PubMed] [Google Scholar]
- Krebs M., Held K., Binder A., Hashimoto K., Den Herder G., Parniske M., et al. (2012). FRET-based genetically encoded sensors allow high-resolution live cell imaging of Ca(2)(+) dynamics. Plant J. 69, 181–192 10.1111/j.1365-313X.2011.04780.x [DOI] [PubMed] [Google Scholar]
- Kredel S., Nienhaus K., Oswald F., Wolff M., Ivanchenko S., Cymer F., et al. (2008). Optimized and far-red-emitting variants of fluorescent protein eqFP611. Chem. Biol. 15, 224–233 10.1016/j.chembiol.2008.02.008 [DOI] [PubMed] [Google Scholar]
- Kredel S., Oswald F., Nienhaus K., Deuschle K., Rocker C., Wolff M., et al. (2009). mRuby, a bright monomeric red fluorescent protein for labeling of subcellular structures. PLoS ONE 4:e4391 10.1371/journal.pone.0004391 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kremers G. J., Goedhart J., van den Heuvel D. J., Gerritsen H. C., Gadella T. W., Jr. (2007). Improved green and blue fluorescent proteins for expression in bacteria and mammalian cells. Biochemistry 46, 3775–3783 10.1021/bi0622874 [DOI] [PubMed] [Google Scholar]
- Kremers G. J., Goedhart J., van Munster E. B., Gadella T. W., Jr. (2006). Cyan and yellow super fluorescent proteins with improved brightness, protein folding, and FRET Forster radius. Biochemistry 45, 6570–6580 10.1021/bi0516273 [DOI] [PubMed] [Google Scholar]
- Kremers G. J., Piston D. (2010). Photoconversion of purified fluorescent proteins and dual-probe optical highlighting in live cells. J. Vis. Exp. pii: 1995 10.3791/1995 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kunkel T. A., Bebenek K., McClary J. (1991). Efficient site-directed mutagenesis using uracil-containing DNA. Methods Enzymol. 204, 125–139 10.1016/0076-6879(91)04008-C [DOI] [PubMed] [Google Scholar]
- Lam A. J., St-Pierre F., Gong Y., Marshall J. D., Cranfill P. J., Baird M. A., et al. (2012). Improving FRET dynamic range with bright green and red fluorescent proteins. Nat. Methods 9, 1005–1012 10.1038/nmeth.2171 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leder L., Stark W., Freuler F., Marsh M., Meyerhofer M., Stettler T., et al. (2010). The structure of Ca2+ sensor Case16 reveals the mechanism of reaction to low Ca2+ concentrations. Sensors (Basel) 10, 8143–8160 10.3390/s100908143 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leslie A. G. W. (1992). Recent changes to the MOSFLM package for processing film and image data, in Joint CCP4 and ESF-EACMB Newsletter on Protein Crystallography. Warrington, UK: Daresbury Laboratory [Google Scholar]
- Liewald J. F., Brauner M., Stephens G. J., Bouhours M., Schultheis C., Zhen M., et al. (2008). Optogenetic analysis of synaptic function. Nat. Methods 5, 895–902 10.1038/nmeth.1252 [DOI] [PubMed] [Google Scholar]
- Mahr A., Aberle H. (2006). The expression pattern of the Drosophila vesicular glutamate transporter: a marker protein for motoneurons and glutamatergic centers in the brain. Gene Expr. Patterns 6, 299–309 10.1016/j.modgep.2005.07.006 [DOI] [PubMed] [Google Scholar]
- Mank M., Griesbeck O. (2008). Genetically encoded calcium indicators. Chem. Rev. 108, 1550–1564 10.1021/cr078213v [DOI] [PubMed] [Google Scholar]
- Mao T., O'Connor D. H., Scheuss V., Nakai J., Svoboda K. (2008). Characterization and subcellular targeting of GCaMP-type genetically-encoded calcium indicators. PLoS ONE 3:e1796 10.1371/journal.pone.0001796 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marvin J. S., Borghuis B. G., Tian L., Cichon J., Harnett M. T., Akerboom J., et al. (2013). An optimized fluorescent probe for visualizing glutamate neurotransmission. Nat. Methods 10, 162–170 10.1038/nmeth.2333 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marvin J. S., Schreiter E. R., Echevarria I. M., Looger L. L. (2011). A genetically encoded, high-signal-to-noise maltose sensor. Proteins 79, 3025–3036 10.1002/prot.23118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCoy A. J., Grosse-Kunstleve R. W., Adams P. D., Winn M. D., Storoni L. C., Read R. J. (2007). Phaser crystallographic software. J. Appl. Crystallogr. 40, 658–674 10.1107/S0021889807021206 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mena M. A., Treynor T. P., Mayo S. L., Daugherty P. S. (2006). Blue fluorescent proteins with enhanced brightness and photostability from a structurally targeted library. Nat. Biotechnol. 24, 1569–1571 10.1038/nbt1264 [DOI] [PubMed] [Google Scholar]
- Mishin A. S., Subach F. V., Yampolsky I. V., King W., Lukyanov K. A., Verkhusha V. V. (2008). The first mutant of the Aequorea victoria green fluorescent protein that forms a red chromophore. Biochemistry 47, 4666–4673 10.1021/bi702130s [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mittmann W., Wallace D. J., Czubayko U., Herb J. T., Schaefer A. T., Looger L. L., et al. (2011). Two-photon calcium imaging of evoked activity from L5 somatosensory neurons in vivo. Nat. Neurosci. 14, 1089–1093 10.1038/nn.2879 [DOI] [PubMed] [Google Scholar]
- Muto A., Ohkura M., Kotani T., Higashijima S. I., Nakai J., Kawakami K. (2011). Genetic visualization with an improved GCaMP calcium indicator reveals spatiotemporal activation of the spinal motor neurons in zebrafish. Proc. Natl. Acad. Sci. U.S.A. 108, 5425–5430 10.1073/pnas.1000887108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mütze J., Iyer V., Macklin J. J., Colonell J., Karsh B., Petrasek Z., et al. (2012). Excitation spectra and brightness optimization of two-photon excited probes. Biophys. J. 102, 934–944 10.1016/j.bpj.2011.12.056 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nagai T., Ibata K., Park E. S., Kubota M., Mikoshiba K., Miyawaki A. (2002). A variant of yellow fluorescent protein with fast and efficient maturation for cell-biological applications. Nat. Biotechnol. 20, 87–90 10.1038/nbt0102-87 [DOI] [PubMed] [Google Scholar]
- Nagai T., Sawano A., Park E. S., Miyawaki A. (2001). Circularly permuted green fluorescent proteins engineered to sense Ca2+. Proc. Natl. Acad. Sci. U.S.A. 98, 3197–3202 10.1073/pnas.051636098 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nagel G., Brauner M., Liewald J. F., Adeishvili N., Bamberg E., Gottschalk A. (2005). Light activation of channelrhodopsin-2 in excitable cells of Caenorhabditis elegans triggers rapid behavioral responses. Curr. Biol. 15, 2279–2284 10.1016/j.cub.2005.11.032 [DOI] [PubMed] [Google Scholar]
- Nagel G., Szellas T., Huhn W., Kateriya S., Adeishvili N., Berthold P., et al. (2003). Channelrhodopsin-2, a directly light-gated cation-selective membrane channel. Proc. Natl. Acad. Sci. U.S.A. 100, 13940–13945 10.1073/pnas.1936192100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nakai J., Ohkura M., Imoto K. (2001). A high signal-to-noise Ca(2+) probe composed of a single green fluorescent protein. Nat. Biotechnol. 19, 137–141 10.1038/84397 [DOI] [PubMed] [Google Scholar]
- Nguyen A. W., Daugherty P. S. (2005). Evolutionary optimization of fluorescent proteins for intracellular FRET. Nat. Biotechnol. 23, 355–360 10.1038/nbt1066 [DOI] [PubMed] [Google Scholar]
- Nienhaus K., Nar H., Heilker R., Wiedenmann J., Nienhaus G. U. (2008). Trans-cis isomerization is responsible for the red-shifted fluorescence in variants of the red fluorescent protein eqFP611. J. Am. Chem. Soc. 130, 12578–12579 10.1021/ja8046443 [DOI] [PubMed] [Google Scholar]
- Niwa H., Yamamura K., Miyazaki J. (1991). Efficient selection for high-expression transfectants with a novel eukaryotic vector. Gene 108, 193–199 [DOI] [PubMed] [Google Scholar]
- Ohkura M., Matsuzaki M., Kasai H., Imoto K., Nakai J. (2005). Genetically encoded bright Ca2+ probe applicable for dynamic Ca2+ imaging of dendritic spines. Anal. Chem. 77, 5861–5869 10.1021/ac0506837 [DOI] [PubMed] [Google Scholar]
- Ohkura M., Sasaki T., Kobayashi C., Ikegaya Y., Nakai J. (2012). An improved genetically encoded red fluorescent Ca2+ indicator for detecting optically evoked action potentials. PLoS ONE 7:e39933 10.1371/journal.pone.0039933 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ormo M., Cubitt A. B., Kallio K., Gross L. A., Tsien R. Y., Remington S. J. (1996). Crystal structure of the Aequorea victoria green fluorescent protein. Science 273, 1392–1395 10.1126/science.273.5280.1392 [DOI] [PubMed] [Google Scholar]
- Patton C., Thompson S., Epel D. (2004). Some precautions in using chelators to buffer metals in biological solutions. Cell Calcium 35, 427–431 10.1016/j.ceca.2003.10.006 [DOI] [PubMed] [Google Scholar]
- Petersen J., Wilmann P. G., Beddoe T., Oakley A. J., Devenish R. J., Prescott M., et al. (2003). The 2.0-A crystal structure of eqFP611, a far red fluorescent protein from the sea anemone Entacmaea quadricolor. J. Biol. Chem. 278, 44626–44631 10.1074/jbc.M307896200 [DOI] [PubMed] [Google Scholar]
- Petreanu L., Gutnisky D. A., Huber D., Xu N. L., O'Connor D. H., Tian L., et al. (2012). Activity in motor-sensory projections reveals distributed coding in somatosensation. Nature 489, 299–303 10.1038/nature11321 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petreanu L., Huber D., Sobczyk A., Svoboda K. (2007). Channelrhodopsin-2-assisted circuit mapping of long-range callosal projections. Nat. Neurosci. 10, 663–668 10.1038/nn1891 [DOI] [PubMed] [Google Scholar]
- Picazo F., Domingo B., Perez-Ortiz J. M., Llopis J. (2011). Imaging local estrogen production in single living cells with recombinant fluorescent indicators. Biosens. Bioelectron. 26, 2147–2153 10.1016/j.bios.2010.09.024 [DOI] [PubMed] [Google Scholar]
- Pletnev S., Shcherbo D., Chudakov D. M., Pletneva N., Merzlyak E. M., Wlodawer A., et al. (2008). A crystallographic study of bright far-red fluorescent protein mKate reveals pH-induced cis-trans isomerization of the chromophore. J. Biol. Chem. 283, 28980–28987 10.1074/jbc.M800599200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pletneva N. V., Pletnev V. Z., Shemiakina I. I., Chudakov D. M., Artemyev I., Wlodawer A., et al. (2011). Crystallographic study of red fluorescent protein eqFP578 and its far-red variant Katushka reveals opposite pH-induced isomerization of chromophore. Protein Sci. 20, 1265–1274 10.1002/pro.654 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Prigge M., Rosler A., Hegemann P. (2010). Fast, repetitive light-activation of CaV3.2 using channelrhodopsin 2. Channels (Austin) 4, 241–247 10.4161/chan.4.3.11888 [DOI] [PubMed] [Google Scholar]
- Pulver S. R., Pashkovski S. L., Hornstein N. J., Garrity P. A., Griffith L. C. (2009). Temporal dynamics of neuronal activation by Channelrhodopsin-2 and TRPA1 determine behavioral output in Drosophila larvae. J. Neurophysiol. 101, 3075–3088 10.1152/jn.00071.2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rizzo M. A., Springer G. H., Granada B., Piston D. W. (2004). An improved cyan fluorescent protein variant useful for FRET. Nat. Biotechnol. 22, 445–449 10.1038/nbt945 [DOI] [PubMed] [Google Scholar]
- Rothermel M., Brunert D., Klupp B. G., Luebbert M., Mettenleiter T. C., Hatt H. (2009). Advanced tracing tools: functional neuronal expression of virally encoded fluorescent calcium indicator proteins. J. Neurovirol. 15, 458–464 10.3109/13550280903473460 [DOI] [PubMed] [Google Scholar]
- Sato T. R., Gray N. W., Mainen Z. F., Svoboda K. (2007). The functional microarchitecture of the mouse barrel cortex. PLoS Biol. 5:e189 10.1371/journal.pbio.0050189 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schneider C. A., Rasband W. S., Eliceiri K. W. (2012). NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shaner N. C., Campbell R. E., Steinbach P. A., Giepmans B. N., Palmer A. E., Tsien R. Y. (2004). Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent protein. Nat. Biotechnol. 22, 1567–1572 10.1038/nbt1037 [DOI] [PubMed] [Google Scholar]
- Shaner N. C., Lin M. Z., McKeown M. R., Steinbach P. A., Hazelwood K. L., Davidson M. W., et al. (2008). Improving the photostability of bright monomeric orange and red fluorescent proteins. Nat. Methods 5, 545–551 10.1038/nmeth.1209 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shigetomi E., Kracun S., Sofroniew M. V., Khakh B. S. (2010). A genetically targeted optical sensor to monitor calcium signals in astrocyte processes. Nat. Neurosci. 13, 759–766 10.1038/nn.2557 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shu X., Shaner N. C., Yarbrough C. A., Tsien R. Y., Remington S. J. (2006). Novel chromophores and buried charges control color in mFruits. Biochemistry 45, 9639–9647 10.1021/bi060773l [DOI] [PubMed] [Google Scholar]
- Sorensen B. R., Shea M. A. (1996). Calcium binding decreases the stokes radius of calmodulin and mutants R74A, R90A, and R90G. Biophys. J. 71, 3407–3420 10.1016/S0006-3495(96)79535-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stemmer W. P., Crameri A., Ha K. D., Brennan T. M., Heyneker H. L. (1995). Single-step assembly of a gene and entire plasmid from large numbers of oligodeoxyribonucleotides. Gene 164, 49–53 10.1016/0378-1119(95)00511-4 [DOI] [PubMed] [Google Scholar]
- Stierl M., Stumpf P., Udwari D., Gueta R., Hagedorn R., Losi A., et al. (2011). Light modulation of cellular cAMP by a small bacterial photoactivated adenylyl cyclase, bPAC, of the soil bacterium Beggiatoa. J. Biol. Chem. 286, 1181–1188 10.1074/jbc.M110.185496 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stigler J., Rief M. (2012). Calcium-dependent folding of single calmodulin molecules. Proc. Natl. Acad. Sci. U.S.A. 109, 17814–17819 10.1073/pnas.1201801109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Studier F. W. (2005). Protein production by auto-induction in high density shaking cultures. Protein Expr. Purif. 41, 207–234 [DOI] [PubMed] [Google Scholar]
- Tallini Y. N., Ohkura M., Choi B. R., Ji G., Imoto K., Doran R., et al. (2006). Imaging cellular signals in the heart in vivo: Cardiac expression of the high-signal Ca2+ indicator GCaMP2. Proc. Natl. Acad. Sci. U.S.A. 103, 4753–4758 10.1073/pnas.0509378103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tian L., Hires S. A., Mao T., Huber D., Chiappe M. E., Chalasani S. H., et al. (2009). Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators. Nat. Methods 6, 875–881 10.1038/nmeth.1398 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tretyakova Y. A., Pakhomov A. A., Martynov V. I. (2007). Chromophore structure of the kindling fluorescent protein asFP595 from Anemonia sulcata. J. Am. Chem. Soc. 129, 7748–7749 10.1021/ja071992c [DOI] [PubMed] [Google Scholar]
- Tsien R. Y. (1998). The green fluorescent protein. Annu. Rev. Biochem. 67, 509–544 10.1146/annurev.biochem.67.1.509 [DOI] [PubMed] [Google Scholar]
- Wang Q., Shui B., Kotlikoff M. I., Sondermann H. (2008). Structural basis for calcium sensing by GCaMP2. Structure 16, 1817–1827 10.1016/j.str.2008.10.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Winn M. D., Ballard C. C., Cowtan K. D., Dodson E. J., Emsley P., Evans P. R., et al. (2011). Overview of the CCP4 suite and current developments. Acta Crystallogr. D Biol. Crystallogr. 67, 235–242 10.1107/S0907444910045749 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu J., Liu L., Matsuda T., Zhao Y., Rebane A., Drobizhev M., et al. (2013). Improved orange and red Ca2+ indicators and photophysical considerations for optogenetic applications. ACS Chem. Neuro. (in press). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yao J., Davies L. A., Howard J. D., Adney S. K., Welsby P. J., Howell N., et al. (2006). Molecular basis for the modulation of native T-type Ca2+ channels in vivo by Ca2+/calmodulin-dependent protein kinase II. J. Clin. Invest. 116, 2403–2412 10.1172/JCI27918 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yasuda R., Nimchinsky E. A., Scheuss V., Pologruto T. A., Oertner T. G., Sabatini B. L., et al. (2004). Imaging calcium concentration dynamics in small neuronal compartments. Sci. STKE 2004, pl5 10.1126/stke.2192004pl5 [DOI] [PubMed] [Google Scholar]
- Yizhar O., Fenno L., Zhang F., Hegemann P., Diesseroth K. (2011a). Microbial opsins: a family of single-component tools for optical control of neural activity. Cold Spring Harb. Protoc. 2011:top102 10.1101/pdb.top102 [DOI] [PubMed] [Google Scholar]
- Yizhar O., Fenno L. E., Prigge M., Schneider F., Davidson T. J., O'Shea D. J., et al. (2011b). Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature 477, 171–178 10.1038/nature10360 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yu D., Baird G. S., Tsien R. Y., Davis R. L. (2003). Detection of calcium transients in Drosophila mushroom body neurons with camgaroo reporters. J. Neurosci. 23, 64–72 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zariwala H. A., Borghuis B. G., Hoogland T. M., Madisen L., Tian L., De Zeeuw C. I., et al. (2012). A Cre-dependent GCaMP3 reporter mouse for neuronal imaging in vivo. J. Neurosci. 32, 3131–3141 10.1523/JNEUROSCI.4469-11.2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang F., Vierock J., Yizhar O., Fenno L. E., Tsunoda S., Kianianmomeni A., et al. (2011). The microbial opsin family of optogenetic tools. Cell 147, 1446–1457 10.1016/j.cell.2011.12.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang F., Wang L. P., Brauner M., Liewald J. F., Kay K., Watzke N., et al. (2007). Multimodal fast optical interrogation of neural circuitry. Nature 446, 633–639 10.1038/nature05744 [DOI] [PubMed] [Google Scholar]
- Zhao Y., Araki S., Wu J., Teramoto T., Chang Y. F., Nakano M., et al. (2011a). An expanded palette of genetically encoded Ca2+ indicators. Science 333, 1888–1891 10.1126/science.1208592 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao Y., Jin J., Hu Q., Zhou H. M., Yi J., Yu Z., et al. (2011b). Genetically encoded fluorescent sensors for intracellular NADH detection. Cell Metab. 14, 555–566 10.1016/j.cmet.2011.09.004 [DOI] [PMC free article] [PubMed] [Google Scholar]