The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Monoclonal antibodies isolated without screening by analyzing the variable-gene repertoire of plasma cells
Abstract
Isolation of antigen-specific monoclonal antibodies (mAbs) and antibody fragments relies on high-throughput screening of immortalized B cells or recombinant antibody libraries. We bypassed the screening step by using high-throughput DNA sequencing and bioinformatic analysis to mine antibody variable region (V)-gene repertoires from bone marrow plasma cells (BMPC) of immunized mice. BMPCs, which cannot be immortalized, produce the vast majority of circulating antibodies. We found that the V-gene repertoire of BMPCs becomes highly polarized after immunization, with the most abundant sequences represented at frequencies between approximately 1% and >10% of the total repertoire. We paired the most abundant variable heavy (V(H)) and variable light (V(L)) genes based on their relative frequencies, reconstructed them using automated gene synthesis, and expressed recombinant antibodies in bacteria or mammalian cells. Antibodies generated in this manner from six mice, each immunized with one of three antigens were overwhelmingly antigen specific (21/27 or 78%). Those generated from a mouse with high serum titers had nanomolar binding affinities.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A similar approach based on identifying highly abundant sequences was used to select antigen-specific molecules in immunized mice [216].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [216]
In the citing paper
“Sequencing a sample of the repertoire and identifying newly abundant sequence-similar BCRs is being used as a simple bioinformatic method to identify new antibodies specific for the antigen of interest.”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [216]
Citations
Cites
Continuous cultures of fused cells secreting antibody of predefined specificity
Köhler, G., & Milstein, C. (1975) · Nature · doi:10.1038/256495a0 · Cited by 17,200
Next-generation DNA sequencing
Shendure, J., & Ji, H. (2008) · Nature Biotechnology · doi:10.1038/nbt1486 · Cited by 4,509
Brochet, X., Lefranc, M., & Giudicelli, V. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn316 · Cited by 1,220
Making antibody fragments using phage display libraries
Clackson, T., Hoogenboom, H. R., Griffiths, A. D., & Winter, G. P. (1991) · Nature · doi:10.1038/352624a0 · Cited by 1,211
Competence and competition: the challenge of becoming a long-lived plasma cell
Radbruch, A., Muehlinghaus, G., Luger, E., Inamine, A., Smith, K. G. C., Dörner, T., & Hiepe, F. (2006) · Nature reviews. Immunology · doi:10.1038/nri1886 · Cited by 1,033
Rapid cloning of high-affinity human monoclonal antibodies against influenza virus
Wrammert, J., Smith, K., Miller, J., Langley, W. A., Kokko, K. E., Larsen, C. P., Zheng, N., Mays, I., Garman, L., Helms, C., et al. (2008) · Nature · doi:10.1038/nature06890 · Cited by 1,026
Selecting and screening recombinant antibody libraries
Hoogenboom, H. R. (2005) · Nature Biotechnology · doi:10.1038/nbt1126 · Cited by 975
Regulation of plasma-cell development
Shelef, M. A., & Calame, K. L. (2005) · Nature reviews. Immunology · doi:10.1038/nri1572 · Cited by 917
Lifetime of plasma cells in the bone marrow
Manz, R. A., Thiel, A., & Radbruch, A. (1997) · Nature · doi:10.1038/40540 · Cited by 866
Traggiai, E., Becker, S., Subbarao, K., Kolesnikova, L., Uematsu, Y., Gismondo, M. R., Murphy, B. R., Rappuoli, R., & Lanzavecchia, A. (2004) · Nature Medicine · doi:10.1038/nm1080 · Cited by 697
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–294 of 294
Selection of therapeutic H5N1 monoclonal antibodies following IgVH repertoire analysis in mice
Gray, S. A., Moore, M. D., VandenEkart, E., Roque, R., Bowen, R. A., Hoeven, N. V., Wiley, S. R., & Clegg, C. H. (2016) · Antiviral Research · doi:10.1016/j.antiviral.2016.04.001 · Cited by 8
Haessler, U., & Reddy, S. T. (2014) · Methods in molecular biology · doi:10.1007/978-1-62703-992-5_12 · Cited by 8
Self-citationEngineering Antibodies for the Treatment of Infectious Diseases
Fan, G., & Li, J. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-72077-7_10 · Cited by 8
Applications of High-Throughput DNA Sequencing to Single-Domain Antibody Discovery and Engineering
Lowden, M. J., Lei, E. K., Hussack, G., & Henry, K. A. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-3381-6_26 · Cited by 7
Genome Engineering of Hybridomas to Generate Stable Cell Lines for Antibody Expression
Parola, C., Mason, D. M., Zingg, A., Neumeier, D., & Reddy, S. T. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-8730-6_7 · Cited by 7
Self-citationDeep Mining of Human Antibody Repertoires: Concepts, Methodologies, and Applications
Tian, X., Li, C., Wu, Y., & Ying, T. (2020) · Small Methods · doi:10.1002/smtd.202000451 · Cited by 6
RAPID: A Rep-Seq Dataset Analysis Platform With an Integrated Antibody Database
Zhang, Y., Chen, T., Zeng, H., Yang, X., Xu, Q., Zhang, Y., Chen, Y., Wang, M., Zhu, Y., Lan, C., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.717496 · Cited by 7
Molecular characterization of the cervical and systemic B-cell repertoire
Gaudet, R. G., Breden, F. J., Plummer, F. A., & Berry, J. D. (2011) · mAbs · doi:10.4161/mabs.3.2.14858 · Cited by 7
Antigen-Specific Human Monoclonal Antibodies from Transgenic Mice
Magadán, S., & González‐Fernández, Á. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-8958-4_11 · Cited by 7
Antibody affinity engineering using antibody repertoire data and machine learningPreprint
Erlach, L., Friedensohn, S., Neumeier, D., Mason, D. M., & Reddy, S. T. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.10.632313 · Cited by 7
Self-citationThe SpyBLI cell-free pipeline for the rapid quantification of binding kinetics from crude samples
Predeina, O., Atkinson, M., Wissett, O., Ali, M., Visentin, C., Ricagno, S., Keeble, A. H., Howarth, M. R., & Sormanni, P. (2025) · RSC Chemical Biology · doi:10.1039/d5cb00079c · Cited by 6
Dascalu, S., Sealy, J. E., Sadeyen, J.-R., Flammer, P. G., Fiddaman, S. R., Preston, S. G., Dixon, R. J., Bonsall, M. B., Smith, A. L., & Iqbal, M. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1461678 · Cited by 6
Protein language model pseudolikelihoods capture features of in vivo B cell selection and evolution
van Ginneken, D., Samant, A., Daga-Krumins, K., Glänzer, W., Agrafiotis, A., Kladis, E., Reddy, S. T., & Yermanos, A. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf418 · Cited by 6
Self-citationValdés-Alemán, J., Téllez‐Sosa, J., Ovilla-Muñoz, M. T., Godoy-Lozano, E. E., Velázquez-Ramírez, D. D., Valdovinos-Torres, H., Gómez-Barreto, R. E., & Martínez-Barnetche, J. (2013) · mAbs · doi:10.4161/mabs.27435 · Cited by 6
Next-Generation Techniques for Discovering Human Monoclonal Antibodies
Лушова, А. А., Byazrova, M. G., Prilipov, A. G., Садыкова, Г. К., Kopylov, A. T., & Filatov, A. V. (2017) · Molecular Biology · doi:10.1134/s0026893317060103 · Cited by 7
Yermanos, A., Dounas, A., Greiff, V., Stadler, T., Oxenius, A., & Reddy, S. T. (2020) · Immunogenetics · doi:10.1007/s00251-020-01164-8 · Cited by 7
Self-citationEhling, R. A., Weber, C. R., Mason, D. M., Friedensohn, S., Wagner, B., Bieberich, F., Kapetanovic, E., Vazquez-Lombardi, R., Roberto, R. B. D., Hong, K.-L., et al. (2021) · bioRxiv · doi:10.1101/2021.02.12.430940 · Cited by 5
Self-citationChen, N., Trible, B. R., & Rowland, R. R. R. (2017) · Veterinary Immunology and Immunopathology · doi:10.1016/j.vetimm.2017.06.005 · Cited by 5
Krohn, S., Boje, A. S., Gehlert, C. L., Lutz, S., Darzentas, N., Knecht, H., Herrmann, D., Brüggemann, M., Scheidig, A. J., Weisel, K. C., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.908093 · Cited by 5
Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images
Tampu, I. E., Haj‐Hosseini, N., Blystad, I., & Eklund, A. (2023) · Machine Learning Science and Technology · doi:10.1088/2632-2153/acf095 · Cited by 5
Liu, J., Li, R., Liu, K., Li, L., Zai, X., Chi, X., Fu, L. L., Xu, J., & Chen, W. (2016) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2016.03.038 · Cited by 5
Methods to Produce Monoclonal Antibodies for the Prevention and Treatment of Viral Infections
Merkuleva, I. A., Щербаков, Д. Н., & Ilyichev, A. A. (2022) · Russian Journal of Bioorganic Chemistry · doi:10.1134/s1068162022020169 · Cited by 6
Brezski, R. J., & Almagro, J. C. (2012) · Springer eBooks · doi:10.1007/978-1-4419-5955-3_4 · Cited by 5
Characterization of B cell receptor H-CDR3 repertoire of spleen in PRV-infected mice
Deng, L., Yang, F., Xu, Z., Li, F., Zhao, J., Deng, H., Jian, Z., Lai, S., Sun, X., & Zhu, L. (2022) · BMC Veterinary Research · doi:10.1186/s12917-022-03340-2 · Cited by 4
Antibody-mediates inhibition of human C1s and the classical complement pathway
Carroll, S., & Georgiou, G. (2013) · Immunobiology · doi:10.1016/j.imbio.2013.01.001 · Cited by 4
Self-citationCsepregi, L., Hoehn, K. B., Neumeier, D., Taft, J. M., Friedensohn, S., Weber, C. R., Kummer, A., Sesterhenn, F., Correia, B. E., & Reddy, S. T. (2024) · eLife · doi:10.7554/elife.92718 · Cited by 7
Self-citationCharacterization of human IgM and IgG repertoires in individuals with chronic HIV-1 infection
Tian, X., Hong, B., Zhu, X., Kong, D., Wen, Y., Wu, Y., Ma, L., & Ying, T. (2022) · Virologica Sinica · doi:10.1016/j.virs.2022.02.010 · Cited by 4
Single‐Round, Multiplexed Antibody Mimetic Design through mRNA Display
Olson, C. A., Nie, J., Diep, J., Al‐Shyoukh, I., Takahashi, T. T., Al‐Mawsawi, L. Q., Bolin, J. M., Elwell, A. L., Swanson, S. A., Stewart, R. M., et al. (2012) · Angewandte Chemie · doi:10.1002/ange.201207005 · Cited by 4
Human Antibody Discovery Platforms
Strohl, W. R. (2017) · Methods and principles in medicinal chemistry · doi:10.1002/9783527699124.ch5 · Cited by 4
Lim, C. C., & Lim, T. S. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.140037 · Cited by 3
Foster, M. H., Buckley, E. S., Chen, B. J., Hwang, K., & Clark, A. G. (2016) · Molecular Immunology · doi:10.1016/j.molimm.2016.07.004 · Cited by 3
Activation-Induced Cytidine Deaminase Impacts the Primary Antibody Repertoire in Naive Mice
Bao, K., Zhang, J., Scherl, A., Ziai, J. M., Hadadianpour, A., Xu, D., Cruz, C. D., Liu, J., Liang, Y., Tam, L., et al. (2022) · The Journal of Immunology · doi:10.4049/jimmunol.2101193 · Cited by 3
Self-citationWang, Z., Huang, A. S., Tang, L., Wang, J., & Wang, G. (2024) · Lab on a Chip · doi:10.1039/d3lc00749a · Cited by 4
Lassen, K. S., Schultz, H., Heegaard, N. H. H., & He, M. (2011) · New Biotechnology · doi:10.1016/j.nbt.2011.11.014 · Cited by 3
Adaptive immune receptor repertoires, an overview of this exciting field
Magadán, S. (2020) · Immunology Letters · doi:10.1016/j.imlet.2020.02.013 · Cited by 3
Yang, X., Wang, M., Shi, D., Zhang, Y., Zeng, H., Zhu, Y., Lan, C., Wu, J., Deng, Y., Guo, S., et al. (2019) · SSRN Electronic Journal · doi:10.1101/814590 · Cited by 3
Engineering Antibody‐Based Therapeutics: Progress and Opportunities
Nguyen, A. W., & Maynard, J. A. (2021) · Wiley eBooks · doi:10.1002/9783527815128.ch13 · Cited by 4
LARGE-SCALE GENOME SAMPLING REVEALS UNIQUE IMMUNITY AND METABOLIC ADAPTATIONS IN BATSPreprint
Moreno-Santillán, D. D., Lama, T. M., Guerrero, Y. G., Brown, A. M., Donat, P., Zhao, H., Rossiter, S. J., Yohe, L. R., Potter, J. H. T., Teeling, E. C., et al. (2021) · doi:10.22541/au.160977727.76870866/v3 · Cited by 4
Matsuda, T., Ogawa, Y., Komaba, L.-K., Kiyose, N., Miyazaki, N., Mizuguchi, Y., Fukuta, T., Ito, Y., & Hagihara, Y. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1335462 · Cited by 2
Gao, C., Guo, L., Yang, H., Zhang, Y. S., Yu, X., Wen, K., Yu, W., Liang, X., Shen, J., Pan, Y., et al. (2026) · Analytical Chemistry · doi:10.1021/acs.analchem.6c00989 · Cited by 2
Protein Microarray: An Ideal Platform for Systems Biology
Wang, Z.-X., Deng, R.-P., Guo, S., Zhang, J., & Tao, S. (2012) · Springer eBooks · doi:10.1007/978-94-007-4819-4_5 · Cited by 2
A Novel Strategy for Screening Tumor-Specific Variable Domain of Heavy-Chain Antibodies
Rafique, A., Hichiwa, G., Jatnika, M. F., & Ito, Y. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241310804 · Cited by 2
Novel Approaches in Discovery and Design of Antibody-Based Therapeutics
Almagro, J. C., & Kodangattil, S. R. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-416603-5.00007-9 · Cited by 2
Farfán-Arribas, D. J., Liu, S., Wang, S., & Lu, S. (2017) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2017.1379638 · Cited by 2
Antibody discovery using microfluidic systems
Simutis, K., Stonyte, G., & Mažutis, L. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812659-2.00012-0 · Cited by 2
Bürckert, J.-P., Faison, W. J., Mustin, D. E., Dubois, A. R. S. X., Sinner, R., Hunewald, O. E., Wienecke-Baldacchino, A. K., Brieger, A., & Muller, C. P. (2018) · Oncotarget · doi:10.18632/oncotarget.25493 · Cited by 2
Fundamental technologies for antibody engineering
(2012) · Elsevier eBooks · doi:10.1533/9781908818096.57 · Cited by 2
Gallo, E. (2024) · Molecular Biology Reports · doi:10.1007/s11033-023-08941-0 · Cited by 2
Li, X., Zhang, W., Huang, M. N., Ren, Z., Nie, C., Liu, X., Yang, S., Zhang, X., & Yang, N. (2019) · Journal of Immunological Methods · doi:10.1016/j.jim.2019.112647 · Cited by 2
Influenza vaccination-induced H3 stalk-reactive memory B-cell clone expansion
Long, Z., He, J., Shuai, Q., Zhang, K., Xiang, J., Wang, H., Xie, S., Wang, S., Du, W., Yao, X., et al. (2023) · Vaccine · doi:10.1016/j.vaccine.2022.12.068 · Cited by 1
Targeting bacterial polysaccharides with antibodies and vaccines
Pier, G. B., & Maira‐Litrán, T. (2023) · Methods in microbiology · doi:10.1016/bs.mim.2023.11.001 · Cited by 1
Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching
Zhang, J., Liu, Z., Bai, S., Cao, H., Li, Y., & Zhang, L. (2024) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm62325.2024.10821730 · Cited by 1
Development of a neutralizing monoclonal antibody targeting Bothrops atrox venom metalloproteinases
Costa, T. G. F., de Assis, T. C. S., Costa, J. M. C., Saavedra-Langer, R., Santo, T. S., Ferreira, C. A. B., Machado‐de‐Ávila, R. A., Felicori, L. F., Guerra-Duarte, C., Lopes-de-Souza, L., et al. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.143608 · Cited by 1
Deep Sequencing of T-Cell and B-Cell Receptors with Next-Generation DNA Sequencers
Jang, M., & Yew, P. Y. (2015) · Springer eBooks · doi:10.1007/978-4-431-55726-5_1 · Cited by 1
Pedreño-López, N., Ricciardi, M. J., Rosen, B. C., Song, G., Andrabi, R., Burton, D. R., Rakasz, E. G., & Watkins, D. I. (2020) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2020.08.004 · Cited by 1
Wu, H., Zhou, Z., Xie, S., Yan, R., Gong, M., Tian, X., & Wang, Z. (2022) · BMC Immunology · doi:10.1186/s12865-022-00482-8 · Cited by 1
Emerging Technologies for Antibody Selection
He, M., & Taussig, M. (2014) · doi:10.1002/9783527682423.ch15 · Cited by 1
Antibody repertoire dynamics in the changing landscape of infection
Schwartz, J. C. (2013) · University of Minnesota Digital Conservancy (University of Minnesota) · Cited by 1
The History of Therapeutic Monoclonal Antibodies
Sodoyer, R. (2016) · Wiley eBooks · doi:10.1002/9781118940648.ch1 · Cited by 1
Bürckert, J.-P., Faison, W. J., Dubois, A. R. S. X., Sinner, R., Hunewald, O. E., Wienecke-Baldacchino, A. K., Brieger, A., & Muller, C. P. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/219568 · Cited by 1
(2012) · Elsevier eBooks · doi:10.1016/b978-1-907568-37-4.50029-4 · Cited by 1
Application of high-throughput sequencing for the analyses of PRRSV-host interactions
Chen, N. (2014) · K-State Research Exchange (Kansas State University)
Ng, D. T. W. (2013) · Scholarly Commons (University of Pennsylvania)
Maretty, L., Sibbesen, J. A., & Krogh, A. (2014)
Microscale Technologies for High-Throughput Analysis of Immune Cells
Pogson, M., Kelton, W., & Reddy, S. T. (2015) · Springer eBooks · doi:10.1007/978-3-319-20726-1_10
Self-citationThe polyclonal antibody response to FMDV in cattle and African buffalo
Philp, R. L. (2017) · Enlighten: Theses (The University of Glasgow)
Host Immune Repertoire and Infection
Hou, D., Qu, J., & Song, Y. (2018) · Springer eBooks · doi:10.1007/978-3-319-95111-9_26
Structure and Derivation of Autoantibodies
Sanz, I., Jenks, S. A., & Cashman, K. S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-323-47927-1.00026-8
Matsuda, T., Ogawa, Y., Komaba, L.-K., Kiyose, N., Miyazaki, N., Mizuguchi, Y., Fukuta, T., Ito, Y., & Hagihara, Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.29.449501
DeKosky, B. J. (2017) · Springer theses · doi:10.1007/978-3-319-58518-5_1
(2010) · Nature Methods · doi:10.1038/nmeth1110-871
Rosenthal, P. J. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734676854.793555071
Tang, R. S. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733769440.793549447
Deng, L., Yang, F., Xu, Z., Li, F., Zhao, J., Deng, H., Jian, Z., Lai, S., Sun, X., & Zhu, L. (2022) · Figshare · doi:10.6084/m9.figshare.20098513
Deng, L., Yang, F., Xu, Z., Li, F., Zhao, J., Deng, H., Jian, Z., Lai, S., Sun, X., & Zhu, L. (2022) · Figshare · doi:10.6084/m9.figshare.20098510
Agrafiotis, A., Kuhn, R., Panetti, C., Venerito, M., Phandee, H., Stalder, L., Shlesinger, D., D’Arcy, V. M., Hong, K., van Ginneken, D., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.09.627526
Self-citationSpoendlin, F. C., & Deane, C. M. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4591-8_16
Agrafiotis, A., Kuhn, R., Panetti, C., Venerito, M., Phandee, H., Stalder, L., Shlesinger, D., D’Arcy, V. M., Hong, K., van Ginneken, D., et al. (2025) · The Journal of Immunology · doi:10.1093/jimmun/vkaf144
Self-citationExplore antibody repertoire in the era of AI
Zhang, Y., Wang, H., Liu, C., & Meng, F. (2025) · Acta Biochimica et Biophysica Sinica · doi:10.3724/abbs.2025230
Wu, H., Zhou, Z., Xie, S., Yan, R., Gong, M., Tian, X., & Wang, Z. (2022) · Figshare · doi:10.6084/m9.figshare.19311316
Wu, H., Zhou, Z., Xie, S., Yan, R., Gong, M., Tian, X., & Wang, Z. (2022) · Figshare · doi:10.6084/m9.figshare.19311340
Wu, H., Zhou, Z., Xie, S., Yan, R., Gong, M., Tian, X., & Wang, Z. (2022) · Figshare · doi:10.6084/m9.figshare.19311322
Wu, H., Zhou, Z., Xie, S., Yan, R., Gong, M., Tian, X., & Wang, Z. (2022) · Figshare · doi:10.6084/m9.figshare.19311331
Wu, H., Zhou, Z., Xie, S., Yan, R., Gong, M., Tian, X., & Wang, Z. (2022) · Figshare · doi:10.6084/m9.figshare.19311328
Wu, H., Zhou, Z., Xie, S., Yan, R., Gong, M., Tian, X., & Wang, Z. (2022) · Figshare · doi:10.6084/m9.figshare.19311325
Wu, H., Zhou, Z., Xie, S., Yan, R., Gong, M., Tian, X., & Wang, Z. (2022) · Figshare · doi:10.6084/m9.figshare.19311334
Genesis of immune diversity and selection of catalytic antibodies : a new investigation
Shahsavarian, M. A. (2015) · theses.fr (ABES) · doi:10.70675/da4996c0z7eafz499dz8c60zed99ba079c62
Hémadou, A. (2017) · theses.fr (ABES) · doi:10.70675/1c2fc378zb806z46b2zafb9z47a32f1c994c
Statistical inference of evolutionary paths
Spisak, N. (2022) · theses.fr (ABES) · doi:10.70675/6f7a4d22z6762z4d3ezbc4czfd218ca968cc
Integrating computational and experimental approaches to identify antigen–specific antibodies
Abbate, M. F., Pereira, P., Toxe, P., Maestrali, N., Gagnaire, M., Vigne, E., Shahsavarian, M. A., Mora, T., & Walczak, A. M. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1951538
Metadata
- Authors
- Reddy, S. T., Ge, X., Miklos, A. E., Hughes, R. A., Kang, S. H., Hoi, K. H., Chrysostomou, C., Hunicke-Smith, S. P., Iverson, B. L., Tucker, P. W., Ellington, A. D., & Georgiou, G.
- Affiliations
- The University of Texas at Austin (US)
- Applied Research Laboratories, The University of Texas at Austin (US)
- Corresponding author
- Georgiou, George
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2010-08-29
- Volume
- 28
- Issue
- 9
- Pages
- 965-969
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W1968091806
- Cited by
- 292
- References
- 32
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 10 · 2023: 16 · 2022: 20 · 2021: 18 · 2020: 14 · 2019: 17 · 2018: 24 · 2017: 31 · 2016: 23 · 2015: 20 · 2014: 24 · 2013: 27 · 2012: 23
- FWCI
- 16.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- monoclonal antibodies, antibody repertoire, plasma cells, antigen-specific antibodies, antibody fragments, immunization, antibody affinity, recombinant antibody production, next-generation sequencing
- MeSH terms
- Animals, Antibodies, Monoclonal, Antigens, Base Sequence, Humans, Immunization, Immunoglobulin Variable Region, Immunoglobulin Heavy Chains, Molecular Sequence Data, Plasma Cells, Complementarity Determining Regions, Mice, High-Throughput Screening Assays, High-Throughput Nucleotide Sequencing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review