The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Commonality despite exceptional diversity in the baseline human antibody repertoire
Open accessAbstract
In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure 1. The diversity of the naive antibody repertoire in humans is estimated to be at least 10 12 unique antibodies 2. Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 10 9, the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person-the 'genome' of the adaptive immune system-exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells 3. Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“NGS provides a snapshot of millions of antibody sequences sampled from the theoretically possible 1012–1015 antibody sequences in a human repertoire [23, 24].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [23]
In the citing paper
“Together with the diversity introduced by V(D) J recombination, somatic hypermutation can produce an estimated 1012–1015 possible antibody sequences [23, 24].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [23]
In the citing paper
“Each of the estimated 5 × 109 B-cells in an organism [23] produces a distinct B-cell receptor (membrane-bound) or antibody (in soluble form) through somatic recombination of variable (V), diversity (D), joining (J) and constant (C) gene segments [28, 29].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [23]
In the citing paper
“From a sequence perspective, it was demonstrated recently that despite the vast numbers of diverse sequences in a typical human antibody repertoire, a non-trivial amount of these is shared between individuals [23, 223].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [23]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
van Dongen, J. J. M., Langerak, A. W., Brüggemann, M., Evans, P., Hummel, M., Lavender, F. L., Delabesse, É., Davi, F., Schuuring, E. M. D., García‐Sánz, R., et al. (2003) · Leukemia · doi:10.1038/sj.leu.2403202 · Cited by 3,040
Estimating the Population Size for Capture-Recapture Data with Unequal Catchability
Chao, A. (1987) · Biometrics · doi:10.2307/2531532 · Cited by 2,459
PANDAseq: paired-end assembler for Illumina sequences
Masella, A. P., Bartram, A. K., Truszkowski, J. M., Brown, D. G., & Neufeld, J. D. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-31 · Cited by 2,132
Clonal selection and learning in the antibody system
Rajewsky, K. (1996) · Nature · doi:10.1038/381751a0 · Cited by 1,701
Measurement of "Overlap" in Comparative Ecological Studies
Horn, H. S. (1966) · The American Naturalist · doi:10.1086/282436 · Cited by 1,646
Measuring of the dispersion of individuals and analysis of the distributional patterns
Morisita, M. (1959) · Medical Entomology and Zoology · Cited by 659
Meyerhans, A., Vartanian, J., & Wain–Hobson, S. (1990) · Nucleic Acids Research · doi:10.1093/nar/18.7.1687 · Cited by 589
Reference values for B cell subpopulations from infancy to adulthood
Morbach, H., Eichhorn, E.-M., Liese, J. G., & Girschick, H. J. (2010) · Clinical & Experimental Immunology · doi:10.1111/j.1365-2249.2010.04206.x · Cited by 399
In-depth determination and analysis of the human paired heavy- and light-chain antibody repertoire
DeKosky, B. J., Kojima, T., Rodin, A., Charab, W., Ippolito, G. C., Ellington, A. D., & Georgiou, G. (2014) · Nature Medicine · doi:10.1038/nm.3743 · Cited by 358
Cited by
Sorted by citations
Items 101–200 of 546
Applications of Machine and Deep Learning in Adaptive Immunity
Pertseva, M., Gao, B., Neumeier, D., Yermanos, A., & Reddy, S. T. (2021) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-101420-125021 · Cited by 38
Antibody signatures in inflammatory bowel disease: current developments and future applications
Bourgonje, A. R., Vogl, T. J., Segal, E., & Weersma, R. K. (2022) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2022.05.004 · Cited by 40
Richardson, E., Galson, J. D., Kellam, P., Kelly, D. F., Smith, S. E., Palser, A. L., Watson, S. J., & Deane, C. M. (2021) · mAbs · doi:10.1080/19420862.2020.1869406 · Cited by 41
Wang, Y., Lv, H., Teo, Q. W., Lei, R., Gopal, A. B., Ouyang, W. O., Yeung, Y.-H., Tan, T. J. C., Choi, D., Shen, I. R., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.07.022 · Cited by 35
Current strategies for detecting functional convergence across B-cell receptor repertoires
Raybould, M. I. J., Rees, A. R., & Deane, C. M. (2021) · mAbs · doi:10.1080/19420862.2021.1996732 · Cited by 36
Fully synthetic platform to rapidly generate tetravalent bispecific nanobody–based immunoglobulins
Misson, L., Liu, H., Ozorowski, G., Tran, Q., Woehl, J. L., Khalek, I. S., Smith, J., Barman, S., Zhao, F., Keating, C., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2216612120 · Cited by 36
Self-citationProtective fibroblastic niches in secondary lymphoid organs
Martin, A. D., Stanossek, Y., Pikor, N. B., & Ludewig, B. (2023) · The Journal of Experimental Medicine · doi:10.1084/jem.20221220 · Cited by 35
Zhao, F., Joyce, C., Burns, A., Nogal, B., Cottrell, C. A., Ramos, A. G., Biddle, T. A., Pauthner, M. G., Nedellec, R., Qureshi, H., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108122 · Cited by 35
Self-citationMachine Learning Approaches in Diagnosis, Prognosis and Treatment Selection of Cardiac Amyloidosis
Allegra, A., Mirabile, G., Tonacci, A., Genovese, S., Pioggia, G., & Gangemi, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065680 · Cited by 38
Xu, Z., & Kulp, D. W. (2019) · Current Opinion in Immunology · doi:10.1016/j.coi.2019.03.003 · Cited by 34
Exploring the sequence features determining amyloidosis in human antibody light chains
Rawat, P., Prabakaran, R., Kumar, S., & Gromiha, M. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-93019-9 · Cited by 34
Ortega, M. R., Spisak, N., Mora, T., & Walczak, A. M. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010652 · Cited by 34
Chronic Lymphocytic Leukemia: Disease Biology
Koehrer, S., & Burger, J. A. (2023) · Acta Haematologica · doi:10.1159/000533610 · Cited by 33
Applications of Artificial Intelligence in Biotech Drug Discovery and Product Development
Liu, Y., Zhang, L., Jiang, Z., Tian, X., Li, P., Wu, P., Du, W., Yuan, B., Xie, C., Bu, G., et al. (2025) · MedComm · doi:10.1002/mco2.70317 · Cited by 42
Russo, G. L., Salvatore, V. D., Sgroi, G., Palumbo, G. A. P., Reche, P. A., & Pappalardo, F. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab403 · Cited by 34
Broadly neutralizing antibodies to SARS-related viruses can be readily induced in rhesus macaques
He, W., Yuan, M., Callaghan, S., Musharrafieh, R. G., Song, G., Silva, M., Beutler, N., Lee, W.-H., Yong, P., Torres, J. L., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abl9605 · Cited by 32
Self-citationRustad, E. H., Misund, K., Bernard, E., Coward, E., Yellapantula, V. D., Hultcrantz, M. L., Ho, C., Kazandjian, D. G., Korde, N., Mailankody, S., et al. (2019) · American Journal of Hematology · doi:10.1002/ajh.25641 · Cited by 32
Han, X., Wang, Y., Li, S., Hu, C., Li, T., Gu, C., Wang, K., Shen, M., Wang, J., Hu, J., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.653189 · Cited by 32
Zhou, X., Ma, F., Xie, J., Yuan, M., Li, Y., Shaabani, N., Zhao, F., Huang, D., Wu, N. C., Lee, C.-C. D., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109109 · Cited by 31
Self-citationLearning the language of antibody hypervariability
Singh, R., Im, C., Qiu, Y., Mackness, B. C., Gupta, A., Joren, T., Sledzieski, S., Erlach, L., Wendt, M., Fomekong‐Nanfack, Y., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2418918121 · Cited by 46
Landscape of Non-canonical Cysteines in Human VH Repertoire Revealed by Immunogenetic Analysis
Prabakaran, P., & Chowdhury, P. S. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107831 · Cited by 30
Molecular analysis of a public cross-neutralizing antibody response to SARS-CoV-2
Yuan, M., Wang, Y., Lv, H., Tan, T. J. C., Wilson, I. A., & Wu, N. C. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111650 · Cited by 27
Dingess, K. A., Hoek, M., van Rijswijck, D. M. H., Tamara, S., den Boer, M. A., Veth, T. S., Damen, M. J. A., Barendregt, A., Romijn, M., Juncker, H. G., et al. (2022) · Cellular and Molecular Immunology · doi:10.1038/s41423-022-00954-2 · Cited by 35
Barrett, J. R., Pipini, D., Wright, N. D., Cooper, A. J. R., Gorini, G., Quinkert, D., Lias, A. M., Davies, H. D., Rigby, C. A., Aleshnick, M., et al. (2024) · Cell · doi:10.1016/j.cell.2024.06.015 · Cited by 30
Individualized VDJ recombination predisposes the available Ig sequence spacePreprint
Slabodkin, A., Chernigovskaya, M., Mikocziova, I., Akbar, R., Scheffer, L., Pavlović, M., Bashour, H., Snapkov, I., Mehta, B. B., Weber, C. R., et al. (2021) · Genome Research · doi:10.1101/gr.275373.121 · Cited by 34
Serum antibody screening using glycan arrays
Marglous, S., Brown, C. E., Padler‐Karavani, V., Cummings, R. D., & Gildersleeve, J. C. (2024) · Chemical Society Reviews · doi:10.1039/d3cs00693j · Cited by 30
Ray, R., Mohamed, F. A. N., Maurer, D. P., Huang, J., Alpay, B. A., Ronsard, L., Xie, Z., Han, J., Fernández‐Quintero, M. L., Phan, Q. A., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.03.022 · Cited by 30
Egg Yolk Antibody for Passive Immunization: Status, Challenges, and Prospects
Wang, H., Zhong, Q., & Lin, J. (2023) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c09180 · Cited by 30
Soto, C. S., Finn, J. A., Willis, J. R., Day, S. B., Sinkovits, R. S., Jones, T., Schmitz, S., Meiler, J., Branchizio, A., & Crowe, J. E. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-03649-5 · Cited by 30
Looking for therapeutic antibodies in next generation sequencing repositories
Krawczyk, K., Raybould, M., Kovaltsuk, A., & Deane, C. M. (2019) · doi:10.1101/572958 · Cited by 29
Liu, H., Kaku, C. I., Song, G., Yuan, M., Andrabi, R., Burton, D. R., Walker, L. M., & Wilson, I. A. (2022) · Communications Biology · doi:10.1038/s42003-022-03700-6 · Cited by 32
Self-citationCheung, C. S., Fruehwirth, A., Paparoditis, P., Shen, C., Foglierini, M., Joyce, M. G., Leung, K., Piccoli, L., Rawi, R., Silacci-Fregni, C., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108088 · Cited by 27
Raybould, M. I. J., Marks, C., Kovaltsuk, A., Lewis, A. P., Shi, J., & Deane, C. M. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008781 · Cited by 29
Graham, C., Seow, J., Huettner, I., Khan, H., Kouphou, N., Acors, S., Winstone, H., Pickering, S., Galao, R. P., Lista, M. J., et al. (2021) · doi:10.1101/2021.02.03.429355 · Cited by 27
Tracking B cell responses to the SARS-CoV-2 mRNA-1273 vaccine
de Assis, F. L., Hoehn, K. B., Zhang, X., Kardava, L., Smith, C. D., Merhebi, O. E., Buckner, C. M., Trihemasava, K., Wang, W., Seamon, C. A., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112780 · Cited by 28
Spoendlin, F. C., Abanades, B., Raybould, M. I. J., Wong, W. K., Georges, G., & Deane, C. M. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1237621 · Cited by 26
Joyce, C., Burton, D. R., & Briney, B. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-57764-7 · Cited by 25
Self-citationData mining patented antibody sequences
Krawczyk, K., Buchanan, A. G., & Marcatili, P. (2021) · mAbs · doi:10.1080/19420862.2021.1892366 · Cited by 25
Reference-based comparison of adaptive immune receptor repertoires
Weber, C. R., Rubio, T., Wang, L., Zhang, W., Robert, P. A., Akbar, R., Snapkov, I., Wu, J., Kuijjer, M. L., Tarazona, S., et al. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100269 · Cited by 25
A Quest for a Universal Plasma-Derived Antivenom Against All Elapid Neurotoxic Snake Venoms
Ratanabanangkoon, K. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.668328 · Cited by 27
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
O’Donnell, T. J., Kanduri, C., Isacchini, G., Limenitakis, J. P., Brachman, R. A., Alvarez, R. A., Haff, I. H., Sandve, G. K., & Greiff, V. (2024) · Cell Systems · doi:10.1016/j.cels.2024.11.006 · Cited by 24
Tian, G., Li, M., & Lv, G. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2021.778559 · Cited by 24
Kreer, C., Lupo, C., Ercanoglu, M. S., Gieselmann, L., Spisak, N., Großbach, J., Schlotz, M., Schommers, P., Gruell, H., Dold, L., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42906-y · Cited by 21
SPLASH: A statistical, reference-free genomic algorithm unifies biological discovery
Chaung, K., Baharav, T. Z., Henderson, G., Zheludev, I. N., Wang, P., & Salzman, J. (2023) · Cell · doi:10.1016/j.cell.2023.10.028 · Cited by 24
Protective anti‐prion antibodies in human immunoglobulin repertoires
Senatore, A., Frontzek, K., Emmenegger, M., Chincisan, A., Losa, M., Reimann, R., Horny, G., Guo, J., Fels, S., Sorce, S., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.202012739 · Cited by 23
Exploiting B Cell Receptor Analyses to Inform on HIV-1 Vaccination Strategies
Kreer, C., Gruell, H., Mora, T., Walczak, A. M., & Klein, F. (2020) · Vaccines · doi:10.3390/vaccines8010013 · Cited by 21
Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells
Neumeier, D., Yermanos, A., Agrafiotis, A., Csepregi, L., Chowdhury, T., Ehling, R. A., Kuhn, R., Cotet, T., Roberto, R. B. D., Tacchio, M. D., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2113766119 · Cited by 24
Jaszczyszyn, I., Bielska, W., Gawłowski, T., Dudzic, P., Satława, T., Kończak, J., Wilman, W., Janusz, B., Wróbel, S., Chomicz, D., et al. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1214424 · Cited by 24
Deep learning in preclinical antibody drug discovery and development
Zhou, Y., Huang, Z., Li, W., Wei, J., Jiang, Q., Yang, W., & Huang, J. H. (2023) · Methods · doi:10.1016/j.ymeth.2023.07.003 · Cited by 25
Colombo, M., Bagnara, D., Reverberi, D., Matis, S., Cardillo, M., Massara, R., Mastracci, L., Ravetti, J. L., Agnelli, L., Neri, A., et al. (2020) · Molecular Medicine · doi:10.1186/s10020-020-00151-9 · Cited by 23
Yang, X., Wang, M., Wu, J., Shi, D., Zhang, Y., Zeng, H., Zhu, Y., Lan, C., Deng, Y., Guo, S., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109110 · Cited by 23
Evolution of antibody immunity following Omicron BA.1 breakthrough infectionPreprint
Kaku, C. I., Starr, T. N., Zhou, P.-P., Dugan, H. L., Khalifé, P., Song, G., Champney, E. R., Mielcarz, D. W., Geoghegan, J. C., Burton, D. R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.21.508922 · Cited by 23
Self-citationβ2-adrenergic signaling promotes higher-affinity B cells and antibodies
Ben-Shalom, N., Sandbank, E., Abramovitz, L., Hezroni, H., Levine, T., Trachtenberg, E., Fogel, N., Mor, M., Yefet, R., Stoler‐Barak, L., et al. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.06.020 · Cited by 21
Dissecting the antibody-OME: past, present, and future
Loos, C., Lauffenburger, D. A., & Alter, G. (2020) · Current Opinion in Immunology · doi:10.1016/j.coi.2020.06.003 · Cited by 22
From Structural Studies to HCV Vaccine Design
Yechezkel, I., Law, M., & Tzarum, N. (2021) · Viruses · doi:10.3390/v13050833 · Cited by 22
VDJ Gene Usage in IgM Repertoires of Rhesus and Cynomolgus Macaques
Chernyshev, M., Kaduk, M., Corcoran, M., & Hedestam, G. B. K. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2021.815680 · Cited by 22
Zhang, Y., Li, Q., Luo, L., Duan, C., Shen, J., & Wang, Z. (2023) · Biotechnology Advances · doi:10.1016/j.biotechadv.2023.108143 · Cited by 23
Jung, J., Mundle, S. T., Ustyugova, I. V., Horton, A. P., Boutz, D. R., Pougatcheva, S. O., Prabakaran, P., McDaniel, J. R., King, G. R., Park, D., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci148763 · Cited by 21
Bondt, A., Hoek, M., Dingess, K. A., Tamara, S., de Graaf, S. C., Peng, W., den Boer, M. A., Damen, M. J. A., Zwart, C., Barendregt, A., et al. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100690 · Cited by 21
The dengue-specific immune response and antibody identification with machine learning
Natali, E. N., Horst, A., Meier, P., Greiff, V., Nuvolone, M., Babrak, L. M., Fink, K., & Miho, E. (2024) · npj Vaccines · doi:10.1038/s41541-023-00788-7 · Cited by 21
Sutherland, C. A., Stevens, D. M., Seong, K., Wei, W., & Krasileva, K. V. (2025) · The Plant Cell · doi:10.1093/plcell/koaf109 · Cited by 20
Protein Engineering: Advances in Phage Display for Basic Science and Medical Research
Davydova, E. K. (2022) · Biochemistry (Moscow) · doi:10.1134/s0006297922140127 · Cited by 20
B cell extracellular vesicles contain monomeric IgM that binds antigen and enters target cells
Gutknecht, M. F., Holodick, N. E., & Rothstein, T. L. (2023) · iScience · doi:10.1016/j.isci.2023.107526 · Cited by 19
Dynamics of heavy chain junctional length biases in antibody repertoires
Sankar, K., Hoi, K. H., & Hötzel, I. (2020) · Communications Biology · doi:10.1038/s42003-020-0931-3 · Cited by 20
Immune Literacy: Reading, Writing, and Editing Adaptive Immunity
Csepregi, L., Ehling, R. A., Wagner, B., & Reddy, S. T. (2020) · iScience · doi:10.1016/j.isci.2020.101519 · Cited by 22
Reading the B-cell receptor immunome in chronic lymphocytic leukemia: revelations and applications
Hengeveld, P. J., Levin, M., Kolijn, P. M., & Langerak, A. W. (2020) · Experimental Hematology · doi:10.1016/j.exphem.2020.09.194 · Cited by 21
Jin, S., Wang, H., Liu, X., Deng, Y., Yu, Y., Xu, P., Shou, J., Pan, H., Li, H., Zhou, X., et al. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.679130 · Cited by 21
Shin, O. S., Monticelli, S. R., Hjorth, C. K., Hornet, V., Doyle, M., Abelson, D. M., Kuehne, A. I., Wang, A., Bakken, R. R., Mishra, A. K., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114502 · Cited by 19
Adaptive Immune Receptor Repertoire (AIRR) Community Guide to Repertoire Analysis
Marquez, S., Babrak, L. M., Greiff, V., Hoehn, K. B., Lees, W., Prak, E. T. L., Miho, E., Rosenfeld, A. M., Schramm, C. A., Stervbo, U., et al. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2115-8_17 · Cited by 19
Widespread impact of immunoglobulin V-gene allelic polymorphisms on antibody reactivity
Yuan, M., Feng, Z., Lv, H., So, N., Shen, I. R., Tan, T. J. C., Teo, Q. W., Ouyang, W. O., Talmage, L., Wilson, I. A., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113194 · Cited by 19
Computational Methods to Predict Conformational B-Cell Epitopes
Carroll, M., Rosenbaum, E., & Viswanathan, R. (2024) · Biomolecules · doi:10.3390/biom14080983 · Cited by 19
Antibody sequence determinants of viral antigen specificity
Abu-Shmais, A. A., Vukovich, M. J., Wasdin, P. T., Suresh, Y. P., Marinov, T. M., Rush, S. A., Gillespie, R. A., Sankhala, R. S., Choe, M., Joyce, M. G., et al. (2024) · mBio · doi:10.1128/mbio.01560-24 · Cited by 18
Immune fingerprinting through repertoire similarity
Dupic, T., Koraichi, M. B., Minervina, A. A., Pogorelyy, M. V., Mora, T., & Walczak, A. M. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009301 · Cited by 19
Efficient isolation of rare B cells using next-generation antigen barcoding
Hurtado, J., Flynn, C., Lee, J. H., Salcedo, E., Cottrell, C. A., Skog, P. D., Burton, D. R., Nemazee, D. A., Schief, W. R., Landais, E., et al. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.962945 · Cited by 19
Self-citationLi, Y., Cheng, L., Jiang, L., Li, Z., Rao, J., Wu, T., Zhang, F., Xie, B., He, Y. Q., Wang, L., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61699-w · Cited by 19
Guloglu, B., & Deane, C. M. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1223802 · Cited by 20
Reprogramming of the heavy-chain CDR3 regions of a human antibody repertoire
Ou, T., He, W., Quinlan, B. D., Guo, Y., Tran, M. H., Karunadharma, P. P., Park, H., Davis-Gardner, M. E., Yin, Y., Zhang, X., et al. (2021) · Molecular Therapy · doi:10.1016/j.ymthe.2021.10.027 · Cited by 18
Position-Dependent Differential Targeting of Somatic Hypermutation
Zhou, J. Q., & Kleinstein, S. H. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.2000496 · Cited by 17
Petersen, B. M., Ulmer, S. A., Rhodes, E. R., Gutiérrez-González, M., DeKosky, B. J., Sprenger, K. G., & Whitehead, T. A. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.728694 · Cited by 18
Guo, J., Luo, N., Ai, G., Yang, W., Zhu, J., Li, C., Chen, R., Zhang, C., Liu, S., Jin, H., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-003887 · Cited by 18
Lupo, C., Spisak, N., Walczak, A. M., & Mora, T. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010167 · Cited by 18
Repertoire-scale measures of antigen binding
Arora, R., & Arnaout, R. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2203505119 · Cited by 16
Historical Advances in Structural and Molecular Biology and How They Impacted Vaccine Development
Koff, W. C., Rappuoli, R., & Plotkin, S. A. (2023) · Journal of Molecular Biology · doi:10.1016/j.jmb.2023.168113 · Cited by 20
Hurtado, J., Rogers, T. F., Jaffe, D. B., Adams, B. A., Bangaru, S., Garcia, E., Capozzola, T., Messmer, T., Sharma, P., Song, G., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114307 · Cited by 17
Self-citationChernigovskaya, M., Pavlović, M., Kanduri, C., Gielis, S., Robert, P. A., Scheffer, L., Slabodkin, A., Haff, I. H., Meysman, P., Yaari, G., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf025 · Cited by 18
Jo, G., Yamayoshi, S., Krystal, M., Swanson, O. M., Torres, J. L., Ferguson, J. A., Fernández‐Quintero, M. L., Huang, J., Copps, J., Rodriguez, A. J., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62174-2 · Cited by 17
Functional clustering of B cell receptors using sequence and structural features
Xu, Z., Li, S., Rozewicki, J., Yamashita, K., Teraguchi, S., Inoue, T., Shinnakasu, R., Leach, S., Kurosaki, T., & Standley, D. M. (2019) · Molecular Systems Design & Engineering · doi:10.1039/c9me00021f · Cited by 17
Homma, A., Freire, M. D. S., & Possas, C. D. A. (2020) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00128819 · Cited by 17
Functional Enrichment and Analysis of Antigen-Specific Memory B Cell Antibody Repertoires in PBMCs
Waltari, E., McGeever, A., Friedland, N., Kim, P. S., & McCutcheon, K. M. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01452 · Cited by 17
Akbar, R., Robert, P. A., Pavlović, M., Jeliazkov, J. R., Snapkov, I., Slabodkin, A., Weber, C. R., Scheffer, L., Miho, E., Haff, I. H., et al. (2021) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000475562 · Cited by 16
Antibody–antigen complex modelling in the era of immunoglobulin repertoire sequencing
Raybould, M. I. J., Wong, W. K., & Deane, C. M. (2019) · Molecular Systems Design & Engineering · doi:10.1039/c9me00034h · Cited by 14
Mitsunaga, E. M., & Snyder, M. P. (2019) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra119.001633 · Cited by 16
Antibody heavy chain CDR3 length-dependent usage of human IGHJ4 and IGHJ6 germline genes
Wang, H., Yan, K., Wang, R., Yang, Y., Shen, Y., Yu, C., & Chen, L. (2021) · Antibody Therapeutics · doi:10.1093/abt/tbab010 · Cited by 16
Learning the Language of Antibody HypervariabilityPreprint
Singh, R., Im, C., Qiu, Y., Mackness, B. C., Gupta, A., Sorenson, T., Sledzieski, S., Erlach, L., Wendt, M., Fomekong‐Nanfack, Y., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.26.538476 · Cited by 16
Dudzic, P., Chomicz, D., Bielska, W., Jaszczyszyn, I., Zieliński, M., Janusz, B., Wróbel, S., Pannérer, M.-M. L., Phillips, A., Prabakaran, P., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-08388-y · Cited by 15
Lee, J. H., Nakao, C., Appel, M., Le, A., Landais, E., Kalyuzhniy, O., Hu, X., Liguori, A., Mullen, T.-M., Gröschel, B., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110485 · Cited by 15
Advances in antibody discovery from human BCR repertoires
Xu, Z., Ismanto, H. S., Zhou, H., Saputri, D. S., Sugihara, F., & Standley, D. M. (2022) · Frontiers in Bioinformatics · doi:10.3389/fbinf.2022.1044975 · Cited by 18
Chen, E. C., Gilchuk, P., Zost, S. J., Ilinykh, P. A., Binshtein, E., Huang, K., Myers, L., Bonissone, S. R., Day, S., Kona, C. R., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112370 · Cited by 16
Bioengineering translational models of lymphoid tissues
Michaels, Y. S., Buchanan, C. F., Gjorevski, N., & Moisan, A. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00101-0 · Cited by 16
Rackaityte, E., Proekt, I., Miller, H. S., Ramesh, A., Brooks, J. F., Kung, A. F., Mandel‐Brehm, C., Yu, D. J. L., Zamecnik, C. R., Bair, R., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.174976 · Cited by 15
Metadata
- Authors
- Briney, B., Inderbitzin, A., Joyce, C., & Burton, D. R.
- Affiliations
- Scripps Research Institute (US)
- Corresponding author
- Briney, Bryan
- Burton, Dennis R.
- Venue
- Nature
- Published
- 2019-01-21
- Volume
- 566
- Issue
- 7744
- Pages
- 393-397
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6411386
- OpenAlex
- W2910384850
- Cited by
- 544
- References
- 24
- Citations by year
- 2026: 65 · 2025: 79 · 2024: 60 · 2023: 81 · 2022: 77 · 2021: 83 · 2020: 65 · 2019: 34
- FWCI
- 25.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- International AIDS Vaccine Initiative (SFP1849)
- Ragon Institute of MGH, MIT and Harvard
- National Institute of Allergy and Infectious Diseases (UM1AI100663, U19AI135995)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- human antibody repertoire, naive B cells, repertoire diversity, adaptive immunity, somatic hypermutation
- MeSH terms
- Antibodies, Antigens, B-Lymphocytes, Base Sequence, Clone Cells, Humans, Genetic Variation, Sequence Analysis, DNA
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