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Methods in
Molecular Biology 1964
Microcalorimetry
of Biological
Molecules
Methods and Protocols
METHODS IN MOLECULAR BIOLOGY
Series Editor
John M. Walker
School of Life and Medical Sciences
University of Hertfordshire
Hatfield, Hertfordshire, AL10 9AB, UK
Edited by
Eric Ennifar
Institut de Biologie Moléculaire et Cellulaire, Université de Strasbourg, CNRS, Strasbourg, France
Editor
Eric Ennifar
Institut de Biologie Moléculaire et Cellulaire
Université de Strasbourg, CNRS
Strasbourg, France
This Humana Press imprint is published by the registered company Springer Science+Business Media, LLC, part of
Springer Nature.
The registered company address is: 233 Spring Street, New York, NY 10013, U.S.A.
Preface
v
Contents
Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v
Contributors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix
vii
viii Contents
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267
Contributors
OLGA ABIAN Institute of Biocomputation and Physics of Complex Systems (BIFI), Joint
Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, Zaragoza,
Spain; Instituto Aragonés de Ciencias de la Salud (IACS), Zaragoza, Spain; Aragon
Institute for Health Research (IIS Aragon), Zaragoza, Spain; Department of Biochemistry
and Molecular and Cell Biology, Universidad de Zaragoza, Zaragoza, Spain; Centro de
Investigacion Biomédica en Red en el Área Temática de Enfermedades Hepáticas y
Digestivas (CIBERehd), Barcelona, Spain
ISABEL D. ALVES Chimie et Biologie des Membranes et Nanoobjets, CBMN CNRS UMR
5248, Université Bordeaux 1, Pessac, France
RYO AMANO Faculty of Advanced Engineering, Department of Life Science, Chiba Institute
of Technology, Narashino-shi, Chiba, Japan
GERNOT BONKAT alta uro AG, Basel, Switzerland
KATHERINE BOWERS Principal Scientist/Group Leader Analytical and Formulation
Development, FUJIFILM Diosynth Biotechnologies U.S.A., Inc., Morrisville, NC, USA
OLIVIER BRAISSANT Center of Biomechanics and Biocalorimetry, University Basel, c/o
Department of Biomedical Engineering (DBE), Allschwil, Switzerland
NIKLAAS J. BUURMA Physical Organic Chemistry Centre, School of Chemistry, Cardiff
University, Cardiff, UK
RAFAEL CLAVERIA-GIMENO Institute of Biocomputation and Physics of Complex Systems
(BIFI), Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza,
Zaragoza, Spain; Instituto Aragonés de Ciencias de la Salud (IACS), Zaragoza, Spain;
Aragon Institute for Health Research (IIS Aragon), Zaragoza, Spain
CYRIELLE DA VEIGA Institut de Biologie Moléculaire et Cellulaire, Université de Strasbourg,
CNRS, Strasbourg, France
FRANÇOIS DEVRED Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Fac Pharm,
Marseille, France
PHILIPPE DUMAS Institut de Biologie Moléculaire et Cellulaire, Université de Strasbourg,
CNRS, Strasbourg, France
ERIC ENNIFAR Institut de Biologie Moléculaire et Cellulaire, Université de Strasbourg,
CNRS, Strasbourg, France
ADRIAN R. FERRÉ-D’AMARÉ Biochemistry and Biophysics Center, National Heart, Lung
and Blood Institute, National Institutes of Health, Bethesda, MD, USA
TOMOHISA FURUKAWA Faculty of Advanced Engineering, Department of Life Science, Chiba
Institute of Technology, Narashino-shi, Chiba, Japan
LEE D. HANSEN Department of Chemistry and Biochemistry, Brigham Young University,
Provo, UT, USA
MARIE-LISE JOBIN Institute for Pharmacology and Toxicology, Rudolf Virchow Center—Bio-
Imaging Center, University of Würzburg, Würzburg, Germany
CHRISTOPHER P. JONES Biochemistry and Biophysics Center, National Heart, Lung and
Blood Institute, National Institutes of Health, Bethesda, MD, USA
SHUN-ICHI KIDOKORO Department of Bioengineering, Nagaoka University of Technology,
Nagaoka, Japan
ix
x Contributors
JOHN E. LADBURY Department of Molecular and Cell Biology and Astbury Centre for
Structural Biology, University of Leeds, Leeds, UK
ROMAIN LA ROCCA Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Fac Pharm,
Marseille, France
SOAZIG MALESINSKI Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Fac Pharm,
Marseille, France
NATALIA MARKOVA MicroCal, Malvern Panalytical, Uppsala, Sweden
DAUMANTAS MATULIS Department of Biothermodynamics and Drug Design, Institute of
Biotechnology, Vilnius University, Vilnius, Lithuania
BENOÎT MEYER Institut de Biologie Moléculaire et Cellulaire, Université de Strasbourg,
CNRS, Strasbourg, France
EVA MUÑOZ AFFINImeter Scientific & Development Team, Software 4 Science
Developments, S. L. Ed. Emprendia, Santiago de Compostela, A Coruña, Spain
SHIGEYOSHI NAKAMURA Department of General Education, National Institute of
Technology, Ube College, Ube, Japan
YVES NOMINÉ Equipe Labelisée Ligue 2015, Department of Integrative Structural Biology,
Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), INSERM U964
UMR 7104 CNRS, Université de Strasbourg, Illkirch, France
VAIDA PAKETURYTĖ Department of Biothermodynamics and Drug Design, Institute of
Biotechnology, Vilnius University, Vilnius, Lithuania
DANIEL PÉREZ AFFINImeter Scientific & Development Team, Software 4 Science
Developments, S. L. Ed. Emprendia, Santiago de Compostela, A Coruña, Spain
ÁNGEL PIÑEIRO AFFINImeter Scientific & Development Team, Software 4 Science
Developments, S. L. Ed. Emprendia, Santiago de Compostela, A Coruña, Spain; Soft
Matter & Molecular Biophysics Group, Departamento de Fı́sica Aplicada, Facultad de
Fı́sica, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
GRZEGORZ PISZCZEK Biophysics Core Facility, National Heart, Lung and Blood Institute,
National Institutes of Health, Bethesda, MD, USA
COLETTE F. QUINN Applications Lab, TA Instruments, Lindon, UT, USA
JUAN RAMIREZ Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT),
Eggenstein-Leopoldshafen, Germany
JAVIER RIAL AFFINImeter Scientific & Development Team, Software 4 Science
Developments, S. L. Ed. Emprendia, Santiago de Compostela, A Coruña, Spain
JUAN SABÍN AFFINImeter Scientific & Development Team, Software 4 Science
Developments, S. L. Ed. Emprendia, Santiago de Compostela, A Coruña, Spain
IBRAHIM Q. SAEED Department of Chemistry, College of Science, Salahaddin University,
Erbil, Kurdistan Region, Iraq
TAIICHI SAKAMOTO Faculty of Advanced Engineering, Department of Life Science, Chiba
Institute of Technology, Narashino-shi, Chiba, Japan
EMMA SCHENCKBECHER Institut de Biologie Moléculaire et Cellulaire, Université de
Strasbourg, CNRS, Strasbourg, France
ANNA SOLOKHINA Center of Biomechanics and Biocalorimetry, University Basel, c/o
Department of Biomedical Engineering (DBE), Allschwil, Switzerland
PHILIPP O. TSVETKOV Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol,
Fac Pharm, Marseille, France
SONIA VEGA Institute of Biocomputation and Physics of Complex Systems (BIFI), Joint Units
IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, Zaragoza, Spain
Contributors xi
Abstract
Membrane-active peptides include a variety of molecules such as antimicrobial (AMP), cell-penetrating
(CPP), viral, and amyloid peptides that are implicated in several pathologies. They constitute important
targets because they are either at the basis of novel therapies (drug delivery for CPPs or antimicrobial
activity for AMPs) or they are the agents causing these pathologies (viral and amyloid peptides). They all
share the common property of interacting with the cellular lipid membrane in their mode of action.
Therefore, a better understanding of the peptide/lipid (P/L) interaction is essential to help decipher
their mechanism of action. Among the different biophysical methods that can be used to fully characterize
P/L interactions, differential scanning calorimetry (DSC) allows determining the peptide effect on the lipid
phase transitions, a property that reflects the P/L interaction mode. A general protocol for classical DSC
experiments for P/L studies will be provided.
1 Introduction
Eric Ennifar (ed.), Microcalorimetry of Biological Molecules: Methods and Protocols, Methods in Molecular Biology, vol. 1964,
https://doi.org/10.1007/978-1-4939-9179-2_1, © Springer Science+Business Media, LLC, part of Springer Nature 2019
3
4 Marie-Lise Jobin and Isabel D. Alves
Fig. 1 Thermogram of a lamellar phase transition showing the three typical lipid phases (gel phase Lβ0 , rippled
phase Pβ0 , and liquid phase Lα) and the corresponding temperature transitions (Tpre and Tm)
2 Materials
1. Lipids for the studies presented here were obtained from the
Avanti Polar Lipids (Alabama, USA).
2. Buffer for DSC studies: 10 mM Tris–HCl, 0.1 M NaCl, 2 mM
EDTA, pH 7.6. Other buffers can be used considering that
they do not undergo heat changes for the temperature ranges
used in the measurements (see Note 1).
3. Peptides were purchased from companies or synthesized by
classical solid-phase peptide chemistry procedures using Fmoc
strategy, purified to 90% purity and lyophilized to a powder.
4. DSC scans were obtained with a Nano DSC (TA Instruments)
equipped with U-shape platinum cells. Other DSC instruments
can be used.
3 Methods
3.1 The Lipid Model The most commonly used lipid model system used for DSC studies
System are multilamellar vesicles (MLVs) because these systems are very
easy to prepare and are the most stable lipid model systems
[18]. Moreover, MLVs also result in a more homogeneous sample
and in a higher and better resolved DSC signal than other types of
liposomes as small and large unilamellar vesicles [5, 19]. Regarding
the composition of the lipid vesicles, one needs to choose lipids that
are the most representatives of the in vivo system that one wants to
mimic but needs to keep in mind the limitations associated with the
method. Some additional considerations about the type and com-
position of the lipid model system are provided in Notes 2 and 3.
1. A lipid film is prepared by dissolving the chosen lipid (1 mg
when a single lipid is used and to investigate gel to fluid phase
transition; for other conditions see Note 3) in minimal amount
of chloroform and methanol (only if not soluble in chloroform
alone, as it occurs often with anionic lipids) necessary to allow
complete dissolution. For lipid mixtures, it is very important
that lipids are thoroughly mixed and dissolved. To this aim the
DSC Studies of P/L Interactions 7
3.2 The DSC The DSC instrument is composed of two cells, a reference and a
Measurement sample cell. In the reference cell, the exact same buffer used for the
sample (blank) must be loaded. In the sample cell, the lipid solution
or the lipid and peptide mixture is loaded. The volume of the cells
varies from one instrument to another (the studies reported here
were performed with a DSC with 300 μL cells).
1. Blank measurement should be performed first. For that the
same buffer should be loaded in both the reference and the
cell sample. Before loading, the buffer solution should be
degassed for about 15 min to remove possible air bubbles.
The same applies for all samples to be loaded in the DSC
cells. Air bubbles displace liquid and therefore reduce the
heat capacity (yielding erroneous results). As air bubbles can
dissolve into solution over time, this will result in aberrant
increase in heat capacity each subsequent cycle as the bubble
dissolves. After loading the DSC cell, the fact that the cell is
kept under pressure (~35 psi) minimizes air bubbles. The
temperature scan measurement should be performed over a
large temperature range (to include the temperature range
that is used for samples to be measured) and at a rate of
8 Marie-Lise Jobin and Isabel D. Alves
3.3 Data Analysis Data analysis for data obtained with a DSC TA Instrument is
and Interpretation: performed with the fitting program CPCALC provided by CSC.
Examples Other instruments usually provide their own software with
instrument.
1. The baseline (blank) should be subtracted from the sample
data. To avoid the introduction of different data treatment
from the user between different data sets, it is advisable to use
a flat baseline treatment and to treat the data within similar
temperature scans. It is best to start with the lipid alone for
which thermodynamic phase transition data has been well
reported in the literature, so that data can be compared. After
data subtraction with baseline, the following parameters are
obtained regarding the different lipid phase transitions (pre-
and main phase temperature transition for lamellar lipids):
phase transition temperature, enthalpy, and entropy associated
with the transition.
In the case where a mixture of lipids is used or a peptide is
added to the liposomes, the DSC signal can be broadened or
even splitted in a “two-peak” transition which could corre-
spond to a domain formation (lipid domain or peptide-poor/
peptide-rich domain). Data analysis software can be used to
10 Marie-Lise Jobin and Isabel D. Alves
3.4 Information From the parameters obtained after data analysis presented above,
Obtained from DSC information about the mode of interaction of the peptides with the
Analysis lipid membrane is obtained. Here a short summary is provided
about the different parameters and their meaning:
l Modification of the phase transition temperature. This indicates
that the peptide changes the lipid physicochemical properties
that are responsible for such transition. For example, if the
peptide decreases the Tm of a gel to fluid phase transition, it
means that the peptide favors the transition and thus has a
fluidizing effect on the membrane.
l Changes in the area of the transition peak. Since the area of the
transition peak is directly correlated with the enthalpy of the
transition, a decrease in the area indicates that the peptide per-
turbs the phase transition and decreases the enthalpy. For a gel to
fluid phase transition, this indicates that the peptide perturbs the
fatty acid chain packing and decreases the van der Waals interac-
tion due to intercalation between the fatty acid chains. In certain
cases the phase transition peak is completely abolished which is
very common for the pre-transition that is sensitive to molecular
interactions.
l Changes in the transition peak FWHM. This parameter is a
measure of the cooperativity of the transition; the sharper the
transition is, the more cooperative the transition. This parameter
is directly correlated with the changes in the peak area, and again
an increase of this parameter reflects peptide insertion in
between the fatty acid chains.
l Changes in the shape of the transition peak. Besides reflecting
changes in the cooperativity of the transition, this parameter is
related with homogeneity. The de-doubling of a single transition
peak and/or appearance of new transition peaks is indicative of
species heterogeneity. If the peptide does not distribute homo-
geneously among all lipids, the appearance of two-phase transi-
tion peaks corresponding to peptide-poor and peptide-rich
domains occurs. Usually the sharper transition peak is associated
with the peptide-poor lipid domains, and the broader transition
is attributed to peptide-rich lipid regions.
Alternatively, the appearance of new transition peaks can be due
to peptide-induced appearance of new lipid supramolecular
structures (liposomes of different size, micelles, etc.).
l Relation between main transition ΔH changes upon increasing
concentration of peptide. By plotting this data and extrapolating
DSC Studies of P/L Interactions 11
3.5 Unusual While most commonly single-lipid model systems are investigated
Applications/Cases by DSC, the method can be applied to the study of lipid mixtures.
3.5.1 Study of Lipid
Mixtures
3.5.2 Following Lipid In the context of binary lipid mixtures, DSC has been used to
Domain Formation follow domain formation in lipid membranes. It is well-known
and Peptide Partition into that cellular lipid membranes are not laterally homogeneous and
Different Domains that domains exist that either have morphological different struc-
tures or that only differ in their physicochemical properties such as
membrane ordering properties and fluidity, as it is the case for lipid-
ordered and lipid-disordered domains. DSC has been used to study
domain formation, mainly through the construction of phase dia-
grams and their interpretation in terms of phase miscibility. In view
of phase miscibility, DSC can be useful to follow lipid mixtures that
are miscible or not. In the first case, miscible lipid mixtures can
result in single-lipid phase transitions (that can become broader)
when lipids have Tm values that are close. For example, when
mixing lipids with different fatty acid chain lengths, lipids with
chain lengths that differ by less than four carbons are not miscible
[22, 23] and result in very well-separated phase transitions. Both
miscible and nonmiscible lipid mixtures can be interesting tools to
study the mechanism of action of membrane-active peptides: (1) In
the case of miscible lipid mixtures, DSC can be used to follow the
peptide effect in lipid reorganization, namely, the preferential
recruitment of one of the lipids in the mixture; (2) for nonmiscible
lipids that result in well-separated phase transitions observed by
DSC, the preferential interaction of a peptide with one of the two
lipids can be determined by the changes induced in each transition
after peptide addition. Moreover, some peptides have the capacity
to improve lipid miscibility (for details, see refs. 24–27).
4 Notes
References
1. Cullis PR, Fenske DB, Hope MJ (1996) Physi- 14. Garidel P, Blume A (2000) Miscibility of
cal properties and functional roles of lipids in phosphatidylethanolamine-
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2. Israelachvili JN, Mitchell DJ, Ninham BW 15. Raudino A (1995) Lateral inhomogeneous
(1977) Theory of self-assembly of lipid bilayers lipid membranes: theoretical aspects. Adv Col-
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470:185–201 16. Almeida PF (2009) Thermodynamics of lipid
3. Lee AG (1977) Lipid phase transitions and interactions in complex bilayers. Biochim Bio-
phase diagrams. I. Lipid phase transitions. Bio- phys Acta 1788:72–85
chim Biophys Acta 472:237–281 17. Riske KA, Barroso RP, Vequi-Suplicy CC,
4. Lee AG (1977) Lipid phase transitions and Germano R, Henriques VB et al (2009) Lipid
phase diagrams. II. Mictures involving lipids. bilayer pre-transition as the beginning of the
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5. McElhaney RN (1982) The use of differential 1788:954–963
scanning calorimetry and differential thermal 18. Lichtenberg D, Freire E, Schmidt CF,
analysis in studies of model and biological Barenholz Y, Felgner PL et al (1981) Effect
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6. McIntosh TJ (1996) Hydration properties of namic behavior, and osmotic activity of dipal-
lamellar and non-lamellar phases of phosphati- mitoylphosphatidylcholine single lamellar
dylcholine and phosphatidylethanolamine. vesicles. Biochemistry 20:3462–3467
Chem Phys Lipids 81:117–131 19. Mason JT, Huang C, Biltonen RL (1983)
7. Epand RM, Bryszewska M (1988) Modulation Effect of liposomal size on the calorimetric
of the bilayer to hexagonal phase transition and behavior of mixed-chain phosphatidylcholine
solvation of phosphatidylethanolamines in bilayer dispersions. Biochemistry
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10. Heerklotz H (2004) The microcalorimetry of crobial peptides with membrane-mimetic sys-
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81:1511–1520 Sagan S et al (2009) Lipid reorganization
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DSC Studies of P/L Interactions 15
26. Epand RF, Wang G, Berno B, Epand RM the lateral domain organization of lipid
(2009) Lipid segregation explains selective tox- bilayers. Biochim Biophys Acta 1328:125–139
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Chapter 2
Abstract
The recent development of high-precision calorimeters allows us to monitor the structural transition of
biomolecules by calorimetry and thereby characterize the thermodynamic property changes accompanying
three-dimensional structure changes. We developed isothermal acid-titration calorimetry (IATC) to evalu-
ate the pH dependence of protein enthalpy. Using the double deconvolution method with precise differ-
ential scanning calorimetry (DSC), we revealed that the MG state is an equilibrium intermediate state of the
reversible thermal three-state transition of the protein, and we successfully determined its volumetric
properties by pressure perturbation calorimetry (PPC). Our findings underscore the importance of a precise
calorimetry and analysis model for protein research.
Key words Differential scanning calorimetry, Pressure perturbation calorimetry, Cytochrome c, Iso-
thermal acid-titration calorimetry
1 Introduction
Eric Ennifar (ed.), Microcalorimetry of Biological Molecules: Methods and Protocols, Methods in Molecular Biology, vol. 1964,
https://doi.org/10.1007/978-1-4939-9179-2_2, © Springer Science+Business Media, LLC, part of Springer Nature 2019
17
18 Shigeyoshi Nakamura and Shun-ichi Kidokoro
2 Materials
2.1 Preparation In this example, an ITC unit of MCS system (MicroCal, North-
for Isothermal Acid- ampton, USA) is used.
Titration Calorimetry 1. Blank solution: 20 mM KCl. Prepare 2 L of blank solution.
(IATC) Add 3.0 g KCl to 1.8 L water (pure Milli-Q water). Adjust the
pH to about 7 by adding NaOH solution (see Note 1). Make
up to 2 L of blank solution with water. Store at 4 C.
2. HCl solution for acid titration: 20 and 400 mM HCl solutions
in 20 mM KCl. Dilute 1 M HCl solution with water to make a
20 mM and a 400 mM HCl solution (see Note 2).
3. Protein solution: Dissolve lyophilized powder of cytochrome
c as 0.5 mg/mL solution with blank solution. Prepare about
30 mL of protein solution for one set of isothermal titration
calorimetry (ITC) measurements (two ITC measurements with
20 mM and 400 mM HCl) and the pH measurements (two pH
measurements with 20 mM and 400 mM HCl) at one temper-
ature. Protein solutions of 3 mL and 10 mL are needed for one
set of ITC and pH measurement, respectively. Store at 4 C.
4. Dialysis: Dialyze the above-described protein solution with a
Spectra/Por dialysis membrane (132,660; cutoff molecular
weight, 6000–8000; Spectrum Laboratories, Rancho Domin-
guez, CA) at 4 C for 1–2 days against a total 2 L of blank
solution. Dialyze 15 mL of protein solution four times against
500 mL of blank solution. The times of dialysis are over 4 h
(first dialysis) and over 8 h (2nd–4th dialysis). After each dialy-
sis, replace 500 mL blank solution with fresh solution for the
next dialysis. Also after final dialysis, collect a protein solution
and store it at 4 C.
5. Subject the protein solution to ultrafiltration with a MolCut
ultra filter unit (USY-20; Advantec, Tokyo, Japan) just before
the IATC measurement (see Note 3).
Calorimetry of the Cytochrome c 19
3 Methods
3.1 IATC IATC is the calorimetric method used to evaluate the thermody-
namic parameters in the acid-induced structural transition of pro-
tein. IATC measurement consists of ITC and pH measurements.
During the IATC measurement, acid titrations of
low-concentration HCl (20 mM HCl) and high-concentration
HCl (400 mM HCl) to the cytochrome c solution are performed
to evaluate the thermodynamic parameters precisely (see Note 2).
3.1.1 ITC for IATC 1. Determine the concentration of the protein solution with a
spectrophotometer by using an extinction coefficient of
ε409 ¼ 9.197 104/M/cm. Use 0.5 mg/mL cytochrome
c in 20 mM KCl as the sample solution (see Subheading 2.1,
item 2).
2. Perform the complete degassing of the protein solution for
several minutes by aspiration with a membrane pump while
simultaneously sonicating the solution with a small sonication
device (see Note 5).
3. ITC measurement for the protein solution with 20 mM HCl:
Perform the 20 mM HCl titration to protein solution using an
isothermal titration calorimetry. First, load the protein solution
in the ITC sample cell. The cell volume is 1.368 mL. Perform
the titration with injections of 2 μL (1st–20th injections), 5 μL
(21th–35th injections), and 10 μL (35th–50th injections) in
each of 20 mM HCl solution in 20 mM KCl using a 250 μL
syringe (see Note 6). Before each experiment, wash the ITC cell
several times with a blank solution. In the present experiments,
the ITC measurements were performed at 40 C.
4. ITC measurement for the blank solution with 20 mM HCl:
Perform the control experiment (20 mM HCl titration to the
blank solution) in the absence of protein solution throughout
the same pH range by using ITC.
5. ITC measurement for protein solution with 400 mM HCl:
Perform the 400 mM HCl titration to protein solution using
a microcalorimeter. Conduct the titration using injections of
2 μL (1st–20th injections), 5 μL (21th–35th injections), and
10 μL (35th–50th injections) in each of 400 mM HCl solution
in 20 mM KCl using a 250 μL syringe. Before each experiment,
wash the ITC cell several times with a blank solution.
6. ITC measurement for the blank solution with 400 mM HCl:
Perform the control experiment (400 mM HCl titration to the
blank solution) in the absence of protein solution throughout
the same pH range of the sample measurement by using ITC.
Calorimetry of the Cytochrome c 21