Selection and Characterization of Antibodies Recognizing Unnatural Base Pairs
<p>Strategy for the selection of Hirao’s base pair from display libraries. (<b>A</b>) A schematic representation of the rounds of selection for phage or yeast display is shown. Micrographs of filamentous phage (labeled in green) and yeast (labeled in red) are shown in the upper left corner, labeled. This color coding is used throughout to distinguish parts of the selection steps within the round as pertinent to either phage display (green writing) or yeast display (red writing). Display organisms (either phage or yeast) are represented schematically to highlight the displayed antibody (colored circles) and the gene coding for it (corresponding colored square inside the organism’s body). Selection steps (<b>a</b>–<b>g</b>) are described in the figure. Oligos that bind to the antibodies are represented by half-moon shapes. Blue half moons represent the target, which is an oligonucleotide containing the Hirao’s pair dDs-dPn (UBP, shown in panel (<b>B</b>), left). When a B is attached to a half-moon, it indicates biotin, which is used for capture or staining. Orange half-moons represent oligonucleotides containing natural base pair dA-dT (NBP, shown in panel (<b>B</b>), right). These are used for subtractive selection strategies during the incubation step of either phage or yeast display libraries. The selection of UBP-specific antibodies was encouraged by adding excess non-biotinylated UBP (blue half-moon) during the phage display elution step (<b>c</b>).</p> "> Figure 2
<p><b>Results of phage display selections</b>. Enrichment of phage-displayed libraries for target-binding antibodies (indicated as “phage binding” on the Y axis) during each round of selection is measured by the increment of the ratio of the outputted phage particle number (colony-forming units, CFUs) to inputted phage particle number (indicated as output/input CFU on the Y axis). A set of 4 different biotinylated oligos containing Hirao’s unnatural base pair dDs-dPn (BU1, BU2, BU3, and BU4) were used as selection targets in the first, second, and third rounds of phage display selection (rounds 1, 2, and 3). The enrichment in target binders during each round of selection is indicated by a set of 4 colored bars (blue for BU1, orange for BU2, gray for BU3, and yellow for BU4). At round 4, the specificity of the selected antibodies was encouraged by either adding non-biotinylated natural oligos competitors during either the incubation step (CI samples) or the elution step (CE samples) instead of eluting with HCl.</p> "> Figure 3
<p>Selection of antibodies recognizing biotinylated unnatural oligos from yeast display libraries by flow cytometry sorting. (<b>A</b>) yeast (cartoon representation on the left) appear as dots in flow cytometry dot plots (middle and right). Yeast-displayed scFvs are expressed in tandem with a tag, which can be detected with an anti-tag antibody conjugated with fluorophore 1. This imparts “Fluorescence 1” (a proxy of expression) to the yeast, so the displaying yeast population shifts right on the <span class="html-italic">x</span>-axis (green dots) with respect to the non-displayed yeast population (red dots). When yeast-displayed scFvs bind to biotinylated antigens, the bound antigen can be detected with streptavidin conjugated with fluorophore 2. This imparts “fluorescence 2” (a proxy for binding) to the expressing yeast, so the displayed fraction of the displaying yeast population shifts up along the <span class="html-italic">y</span>-axis (blue dots). (<b>B</b>) Schematic representation of yeast selection. (<b>C</b>) Flow cytometry dot plots from the first round of selection (top graphs) show the library incubated with a negative control biotinylated peptide (B-pep) and the same library incubated with <span class="underline">b</span>iotinylated “<span class="underline">u</span>nnatural base pair”-containing oligo 1 (BU1). Dot plots from the third round of enrichment (bottom graphs) show the library incubated with either BU1 (left), <span class="underline">b</span>iotinylated <span class="underline">n</span>atural based pair-containing oligo 1 (BN1, middle), and BU1 plus a 10-fold excess of non-biotinylated “<span class="underline">u</span>nnatural base pair”-containing oligo <span class="underline">1</span> (U1, right). Pink dot represent yeast binding to biotinylated oligos.</p> "> Figure 4
<p>Kinetic characterization of yeast-displayed antibodies. Yeast-displayed scFvs were tested for binding to unnatural base-pair-containing oligo 1 (BU1, (<b>A</b>)) and natural oligo 1 (BN1, (<b>B</b>)) using flow cytometry. Oligos were incubated with the yeast-displayed antibodies at various concentrations (X axis). Antibody–oligo binding was detected by incubation with streptavidin-Alexa 633 and by measuring the yeast-bound Alexa 633 mean fluorescence intensity (MFI, Y axis). The inset table in 4A pertains to the data points fit the one site-specific binding equation and specifies saturation binding (SB), dissociation constant (K<sub>d</sub>, in nM), and quality of fit (R). Data points in 4B do not fit the one site-specific binding equation, but they fit a linear equation (equations for each antibody shown). The antibodies that were deemed worthy of further investigation were renamed A09, C05, and B16. These alternative names are indicated in parentheses in the legend.</p> "> Figure 5
<p>Alignment of the best antibody sequences. The alignment of amino acid sequences of the 3 best-performing scFvs, C05, A09, and B16 ((<b>A</b>) = variable light chain; (<b>B</b>) = variable heavy chain), are shown. The top sequences in both panels show conserved amino acids in color. The arrows point to key residues in complementarity-determining regions (CDRs) of both variable chains. The residues asparagine (N), tyrosine (Y), arginine (R), and lysine (K) are typically found in the CDRs of antibodies that recognize DNA.</p> "> Figure 6
<p>Kinetic analysis of antibodies in IgG format. ELISA of IgG A09 (<b>A</b>) and C05 (<b>B</b>) binding to biotinylated unnatural base pair-containing oligos (BU, left graphs) and biotinylated all-natural oligos (BN, right graphs). The antibody was immobilized on a plate and incubated with various concentrations of BU or BN (X axes). Antibody-bound BU or BN was detected with streptavidin–HRP conjugate. The absorbance at 450 nm (Abs450), the maximum absorbance of the product of horse radish peroxidase at low pH, was used as a proxy for antibody-antigen binding (Y axes). The inset tables pertain to those experiments for which data points fit the one site-specific binding equation and specify saturation binding (SB), dissociation constant (K<sub>d</sub>, in nM), and quality of fit (R). Data points for the remaining experiments did not fit the one site-specific binding equation and either fit a linear equation (BU3 and BU4, in 6A left; BN1 and BN2, in 6A right; BU4, in 6B left; and BN4, in 6B right, equations shown) or fit neither of the two equations and are probably nonbinders (BN3 and BN4 in 6A right, notice the low R value of linear fit).</p> "> Figure 7
<p>Detection of unnatural base-pair-containing plasmid by fluorescence-linked immunosorbent assay (FLISA). Various concentrations of GelRed pre-stained plasmids containing either unnatural plasmid 2 (pU2) or all-natural plasmid (pN2) were incubated with plate-immobilized IgG B16 or C05. Plasmid–antibody binding (indicated as DNA binding on the Y axis) was visualized by the measurement of the plate fluorescence (after extensive washing) using GelRed optimal excitation and emission wavelengths. The experiment was repeated in duplicate and the averages plus standard deviations were plotted against the plasmid concentrations.</p> ">
Abstract
:1. Introduction
2. Materials and Methods
2.1. Hirao’s Pair Synthesis
2.2. Antibody Selection
2.2.1. Antigen Design
2.2.2. Phage Display Selection
2.2.3. Yeast Display Selection
2.2.4. Yeast Plasmid Preparation and scFv Gene Sequencing
2.2.5. Specificity of Binding and Kinetic Study of Yeast-Displayed scFvs
2.2.6. Conversion of scFvs to scFv-Fc (Minibody) and IgGs
2.3. Soluble Antibody Characterization Assays
2.3.1. Preparation of Plasmid Containing Unnatural or Natural Oligos (pU or pN)
2.3.2. Common Steps in ELISA/FLISA
2.3.3. Electrophoretic Mobility Shift Assay
3. Results and Discussion
3.1. Antigen Choice and Preparation
3.2. Antibody Selections
3.3. Single Yeast Clone Characterization
3.4. Characterization of Antibodies in Soluble Form
3.5. Production of Real Sample Surrogates
3.6. Immunoassays for Detection of Real Samples Surrogates
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
BSA | bovine serum albumin |
BU | biotinylated U |
BN | biotinylated N |
pU | plasmid containing U |
CI | competition at the incubation step |
CE | competition at the elution step |
CDR | complementarity determining regions |
ELISA | enzyme-linked immunosorbent assay |
EMSA | electrophoretic mobility assay |
FLISA | fluorescence-linked immunosorbent assay |
HRP | horse radish peroxidase |
IgG | Immunoglobulin G |
N | all-natural DNA oligo |
PAGE | polyacrylamide gel electrophoresis |
PBS | phosphate-buffered saline |
PCR | polymerase chain reaction |
pN | plasmid containing N |
scFv | single chain fragment crystallizable |
SSO | semisynthetic organism |
TBE | tris/borate/EDTA |
UBPs | unnatural base pairs |
U | unnatural base pair-containing DNA oligo |
References
- Dien, V.T.; Morris, S.E.; Karadeema, R.J.; Romesberg, F.E. Expansion of the genetic code via expansion of the genetic alphabet. Curr. Opin. Chem. Biol. 2018, 46, 196–202. [Google Scholar] [CrossRef] [PubMed]
- Hoshika, S.; Leal, N.A.; Kim, M.-J.; Kim, M.-S.; Karalkar, N.B.; Kim, H.-J.; Bates, A.M.; Watkins, N.E., Jr.; SantaLucia, H.A.; Meyer, A.J. Hachimoji DNA and RNA: A genetic system with eight building blocks. Science 2019, 363, 884–887. [Google Scholar] [CrossRef]
- Kimoto, M.; Yamashige, R.; Matsunaga, K.-i.; Yokoyama, S.; Hirao, I. Generation of high-affinity DNA aptamers using an expanded genetic alphabet. Nat. Biotechnol. 2013, 31, 453–457. [Google Scholar] [CrossRef]
- Sefah, K.; Yang, Z.; Bradley, K.M.; Hoshika, S.; Jiménez, E.; Zhang, L.; Zhu, G.; Shanker, S.; Yu, F.; Turek, D. In vitro selection with artificial expanded genetic information systems. Proc. Natl. Acad. Sci. USA 2014, 111, 1449–1454. [Google Scholar] [CrossRef] [PubMed]
- Akram, F.; Ali, H.; Laghari, A.T. Trends to store digital data in DNA: An overview. Mol. Biol. Rep. 2018, 45, 1479–1490. [Google Scholar] [CrossRef] [PubMed]
- Ceze, L.; Nivala, J.; Strauss, K. Molecular digital data storage using DNA. Nat. Rev. Genet. 2019, 20, 456–466. [Google Scholar] [CrossRef] [PubMed]
- de la Torre, D.; Chin, J.W. Reprogramming the genetic code. Nat. Rev. Genet. 2021, 22, 169–184. [Google Scholar] [CrossRef] [PubMed]
- Romesberg, F.E. Creation, Optimization, and Use of Semi-Synthetic Organisms that Store and Retrieve Increased Genetic Information. J. Mol. Biol. 2021, 434, 167331. [Google Scholar] [CrossRef] [PubMed]
- Romesberg, F.E. Discovery, implications and initial use of semi-synthetic organisms with an expanded genetic alphabet/code. Philos. Trans. R. Soc. B 2023, 378, 20220030. [Google Scholar] [CrossRef]
- Synthorx Inc., a.S.c. A Study Evaluating Safety and Therapeutic Activity of THOR-707 in Adult Subjects with Advanced or Metastatic Solid Tumors (THOR-707-101); Synthorx Inc.: La Jolla, CA, USA, 2019. [Google Scholar]
- Craig, J.M.; Laszlo, A.H.; Derrington, I.M.; Ross, B.C.; Brinkerhoff, H.; Nova, I.C.; Doering, K.; Tickman, B.I.; Svet, M.T.; Gundlach, J.H. Direct detection of unnatural DNA nucleotides dNaM and d5SICS using the MspA nanopore. PLoS ONE 2015, 10, e0143253. [Google Scholar] [CrossRef] [PubMed]
- Ledbetter, M.P.; Craig, J.M.; Karadeema, R.J.; Noakes, M.T.; Kim, H.C.; Abell, S.J.; Huang, J.R.; Anderson, B.A.; Krishnamurthy, R.; Gundlach, J.H. Nanopore sequencing of an expanded genetic alphabet reveals high-fidelity replication of a predominantly hydrophobic unnatural base pair. J. Am. Chem. Soc. 2020, 142, 2110–2114. [Google Scholar] [CrossRef] [PubMed]
- Liu, Q.; Fang, L.; Yu, G.; Wang, D.; Xiao, C.-L.; Wang, K. Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data. Nat. Commun. 2019, 10, 2449. [Google Scholar] [CrossRef]
- Stollar, B. The origin and pathogenic role of anti-DNA autoantibodies. Curr. Opin. Immunol. 1990, 2, 607–612. [Google Scholar] [CrossRef] [PubMed]
- Stollar, B.D. Immunochemistry of DNA. Int. Rev. Immunol. 1989, 5, 1–22. [Google Scholar] [CrossRef]
- Reynaud, C.; Bruno, C.; Boullanger, P.; Grange, J.; Barbesti, S.; Niveleau, A. Monitoring of urinary excretion of modified nucleosides in cancer patients using a set of six monoclonal antibodies. Cancer Lett. 1992, 61, 255–262. [Google Scholar] [CrossRef] [PubMed]
- Levine, L.; Plescia, O. Nucleic Acids as Antigens. In Progress in Immunology; Elsevier: Amsterdam, The Netherlands, 1971; pp. 1211–1213. [Google Scholar]
- Erlanger, B.F.; Beiser, S.M. Antibodies specific for ribonucleosides and ribonucleotides and their reaction with DNA. Proc. Natl. Acad. Sci. USA 1964, 52, 68–74. [Google Scholar] [CrossRef]
- Feederle, R.; Schepers, A. Antibodies specific for nucleic acid modifications. RNA Biol. 2017, 14, 1089–1098. [Google Scholar] [CrossRef]
- Scott, J.K.; Smith, G.P. Searching for Peptide Ligands with an Epitope Library. Science 1990, 249, 386–390. [Google Scholar] [CrossRef]
- Bradbury, A.R.M.; Marks, J.D. Antibodies from phage antibody libraries. J. Immunol. Methods 2004, 290, 29–49. [Google Scholar] [CrossRef]
- Boder, E.T.; Wittrup, K.D. Yeast surface display for screening combinatorial polypeptide libraries. Nat. Biotechnol. 1997, 15, 553–557. [Google Scholar] [CrossRef]
- Ferrara, F.; Soluri, M.F.; Sblattero, D. Recombinant antibody selections by combining phage and yeast display. In Human Monoclonal Antibodies; Springer: Berlin/Heidelberg, Germany, 2019; pp. 339–352. [Google Scholar]
- Smith, G.P.; Petrenko, V.A. Phage display. Chem. Rev. 1997, 97, 391–410. [Google Scholar] [CrossRef] [PubMed]
- Boder, E.T.; Wittrup, K.D. Yeast surface display for directed evolution of protein expression, affinity, and stability. Methods Enzymol. 2000, 328, 430–444. [Google Scholar]
- Velappan, N.; Micheva-Viteva, S.; Adikari, S.H.; Waldo, G.S.; Lillo, A.M.; Bradbury, A.R. Selection and verification of antibodies against the cytoplasmic domain of M2 of influenza, a transmembrane protein. Proc. Mabs 2020, 12, 1843754. [Google Scholar] [CrossRef]
- Lillo, A.M.; Ayriss, J.E.; Shou, Y.; Graves, S.W.; Bradbury, A.R. Development of phage-based single chain Fv antibody reagents for detection of Yersinia pestis. PLoS ONE 2011, 6, e27756. [Google Scholar] [CrossRef] [PubMed]
- Lillo, A.M.; Velappan, N.; Kelliher, J.M.; Watts, A.J.; Merriman, S.P.; Vuyisich, G.; Lilley, L.M.; Coombs, K.E.; Mastren, T.; Teshima, M. Development of Anti-Yersinia pestis Human Antibodies with Features Required for Diagnostic and Therapeutic Applications. ImmunoTargets Ther. 2020, 9, 299. [Google Scholar] [CrossRef] [PubMed]
- Kim, Y.; Lillo, A.M.; Steiniger, S.C.; Liu, Y.; Ballatore, C.; Anichini, A.; Mortarini, R.; Kaufmann, G.F.; Zhou, B.; Felding-Habermann, B. Targeting heat shock proteins on cancer cells: Selection, characterization, and cell-penetrating properties of a peptidic GRP78 ligand. Biochemistry 2006, 45, 9434–9444. [Google Scholar] [CrossRef]
- Lillo, A.M.; Sun, C.; Gao, C.; Ditzel, H.; Parrish, J.; Gauss, C.-M.; Moss, J.; Felding-Habermann, B.; Wirsching, P.; Boger, D.L. A human single-chain antibody specific for integrin α3β1 capable of cell internalization and delivery of antitumor agents. Chem. Biol. 2004, 11, 897–906. [Google Scholar] [CrossRef]
- Velappan, N.; Mahajan, A.; Naranjo, L.; Velappan, P.; Andrews, N.; Tiee, N.; Chakraborti, S.; Hemez, C.; Gaiotto, T.; Wilson, B. Selection and characterization of FcεRI phospho-ITAM specific antibodies. Proc. MAbs 2019, 11, 1206–1218. [Google Scholar] [CrossRef] [PubMed]
- Velappan, N.L.; Nguyen, H.B.; Micheva-Viteva, S.; Bedinger, D.; Ye, C.; Mangadu, B.; Watts, A.J.; Meagher, R.; Bradfute, S.; Hu, B.; et al. Healthy humans can be a source of antibodies countering COVID-19. Bioengineered 2022, in press. [CrossRef]
- Shusta, E.V.; Kieke, M.C.; Parke, E.; Kranz, D.M.; Wittrup, K.D. Yeast polypeptide fusion surface display levels predict thermal stability and soluble secretion efficiency. J. Mol. Biol. 1999, 292, 949–956. [Google Scholar] [CrossRef]
- Li, B.; Fouts, A.E.; Stengel, K.; Luan, P.; Dillon, M.; Liang, W.-C.; Feierbach, B.; Kelley, R.F.; Hötzel, I. In vitro affinity maturation of a natural human antibody overcomes a barrier to in vivo affinity maturation. Proc. MAbs 2014, 6, 437–445. [Google Scholar] [CrossRef] [PubMed]
- Hirao, I.; Mitsui, T.; Kimoto, M.; Yokoyama, S. An efficient unnatural base pair for PCR amplification. J. Am. Chem. Soc. 2007, 129, 15549–15555. [Google Scholar] [CrossRef] [PubMed]
- Sblattero, D.; Bradbury, A. Exploiting recombination in single bacteria to make large phage antibody libraries. Nat. Biotechnol. 2000, 18, 75–80. [Google Scholar] [CrossRef] [PubMed]
- Feldhaus, M.J.; Siegel, R.W.; Opresko, L.K.; Coleman, J.R.; Feldhaus, J.M.W.; Yeung, Y.A.; Cochran, J.R.; Heinzelman, P.; Colby, D.; Swers, J. Flow-cytometric isolation of human antibodies from a nonimmune Saccharomyces cerevisiae surface display library. Nat. Biotechnol. 2003, 21, 163–170. [Google Scholar] [CrossRef] [PubMed]
- Wentz, A.E.; Shusta, E.V. A novel high-throughput screen reveals yeast genes that increase secretion of heterologous proteins. Appl. Environ. Microbiol. 2007, 73, 1189–1198. [Google Scholar] [CrossRef] [PubMed]
- Wang, X.; Xia, Y. Anti-double Stranded DNA Antibodies: Origin, Pathogenicity, and Targeted Therapies. Front. Immunol. 2019, 10, 1667. [Google Scholar] [CrossRef]
- Richardson, C.; Chida, A.S.; Adlowitz, D.; Silver, L.; Fox, E.; Jenks, S.A.; Palmer, E.; Wang, Y.; Heimburg-Molinaro, J.; Li, Q.-Z.; et al. Molecular Basis of 9G4 B Cell Autoreactivity in Human Systemic Lupus Erythematosus. J. Immunol. 2013, 191, 4926–4939. [Google Scholar] [CrossRef] [PubMed]
- Schroeder, K.; Herrmann, M.; Winkler, T.H. The role of somatic hypermutation in the generation of pathogenic antibodies in SLE. Autoimmunity 2013, 46, 121–127. [Google Scholar] [CrossRef] [PubMed]
- Akbar, R.; Robert, P.A.; Pavlovic, M.; Jeliazkov, J.R.; Snapkov, I.; Slabodkin, A.; Weber, C.R.; Scheffer, L.; Miho, E.; Haff, I.H.; et al. A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding. Cell Rep. 2021, 34, 108856. [Google Scholar] [CrossRef]
- Wan, Z.K.; Lee, J.; Xu, W.; Erbe, D.V.; Joseph-McCarthy, D.; Follows, B.C.; Zhang, Y.L. Monocyclic thiophenes as protein tyrosine phosphatase 1B inhibitors: Capturing interactions with Asp48. Bioorganic Med. Chem. Lett. 2006, 16, 4941–4945. [Google Scholar] [CrossRef]
- Anan, Y.; Itakura, M.; Shimoda, T.; Yamaguchi, K.; Lu, P.; Nagata, K.; Dong, J.; Ueda, H.; Uchida, K. Molecular and structural basis of anti-DNA antibody specificity for pyrrolated proteins. Commun. Biol. 2024, 7, 149. [Google Scholar] [CrossRef] [PubMed]
- Koide, S.; Sidhu, S.S. The importance of being tyrosine: Lessons in molecular recognition from minimalist synthetic binding proteins. ACS Chem. Biol. 2009, 4, 325–334. [Google Scholar] [CrossRef] [PubMed]
Antibody Name | Oligo | Interaction with BUs and BNs | Antibody Format | |||
---|---|---|---|---|---|---|
Affinity (Kd, nM) a | Saturation Binding b | |||||
BU | BN | BU | BN | |||
A09 | 1 | 61.5 ± 17.8 | L/B c | 4467.3 ± 528.8 | N/A | Yeast displayed scFv |
1 | 38.8 ± 3.96 | L/B c | 1.3 ± 0.06 | 1.0 ± 0.2 | IgG | |
2 | 42.3 ± 1.88 | L/B c | 0.8 ± 0.02 | N/A e | ||
3/4 | L/B | N/B d | N/A f | N/A e | ||
1 | 29.6 ± 3.3 | L/B c | 0.7 ± 0.04 | N/A e | minibody | |
2/3/4 | N/B | N/B d | N/A f | N/A e | ||
B16 | 1 | 183.6 ± 52.8 | L/B c | 5071.4 ± 683.9 | N/A e | Yeast displayed scFv |
1/2/3/4 | N/A f | N/A f | N/A f | N/A f | IgG | |
1 | 48.7 ± 11.8 | L/B c | 1.1 ± 0.1 | N/A e | minibody | |
2 | 24.4 ± 4.0 | L/B c | 1.1 ± 0.06 | N/A e | ||
3 | 77.5 ± 31.5 | L/B c | 0.8 ± 0.2 | N/A e | ||
4 | L/B | N/B d | N/A e | N/A e | ||
C05 | 1 | 111.4 ± 21.3 | L/B c | 5379.8 ± 412.6 | N/A e | Yeast displayed scFv |
1 | 2.0 ± 0.1 | 7.0 ± 0.8 | 1.3 ± 0.02 | 1.1 ± 0.04 | IgG | |
2 | 10.8 ± 1.8 | 22.2 ± 9.0 | 1.4 ± 0.09 | 0.5 ± 0.09 | ||
3 | 20.7 ± 4.4 | 14.4 ± 0.9 | 1.2 ± 0.1 | 0.6 ± 0.01 | ||
4 | L/B c | L/B c | N/A e | N/A e | ||
1 | 39.3 ± 8.6 | L/B c | 3.1 ± 0.4 | N/A e | minibody | |
2 | 41.3 ± 8.6 | L/B c | 1.4 ± 0.2 | N/A e | ||
3 | 42.8 ± 8.6 | L/B c | 1.5 ± 0.3 | N/A e | ||
4 | 97.2 ± 31.3 | N/B d | N/A e | N/A e |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lillo, A.M.; Velappan, N.; Wu, R.; Bolding, M.R. Selection and Characterization of Antibodies Recognizing Unnatural Base Pairs. Biologics 2024, 4, 423-443. https://doi.org/10.3390/biologics4040026
Lillo AM, Velappan N, Wu R, Bolding MR. Selection and Characterization of Antibodies Recognizing Unnatural Base Pairs. Biologics. 2024; 4(4):423-443. https://doi.org/10.3390/biologics4040026
Chicago/Turabian StyleLillo, Antonietta M., Nileena Velappan, Ruilian Wu, and Madeline R. Bolding. 2024. "Selection and Characterization of Antibodies Recognizing Unnatural Base Pairs" Biologics 4, no. 4: 423-443. https://doi.org/10.3390/biologics4040026
APA StyleLillo, A. M., Velappan, N., Wu, R., & Bolding, M. R. (2024). Selection and Characterization of Antibodies Recognizing Unnatural Base Pairs. Biologics, 4(4), 423-443. https://doi.org/10.3390/biologics4040026