Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires
Abstract
High-throughput sequencing (HTS) of immune repertoires has enabled the quantitative analysis of adaptive immune responses and offers the potential to revolutionize research in lymphocyte biology, vaccine profiling, and monoclonal antibody engineering. Advances in sequencing technology coupled to an exponential decline in sequencing costs have fueled the recent overwhelming interest in immune repertoire sequencing. This, in turn, has sparked the development of numerous methods for bioinformatic and statistics-driven interpretation and visualization of immune repertoires. Here, we review the current literature on bioinformatic and statistical analysis of immune repertoire HTS data and discuss underlying assumptions, applicability, and scope. We further highlight important directions for future research, which could propel immune repertoire HTS to becoming a standard method for measuring adaptive immune responses.
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B cells from clonal lineages are typically grouped with a Hamming distance-based homology of more than 80% in their CDR3 amino acid sequence because of somatic hypermutation.
“Owing to somatic hypermutation, B cells from clonal lineages are typically grouped with a Hamming distance-based homology of more than 80% in their CDR3 amino acid sequence175.”
From Best practices for single-cell analysis across modalities (2023) · cites this paper as [175]
Cites
vegan: Community Ecology Package
Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O’Hara, R. B., Sólymos, P., Stevens, M. H. H., Szöcs, E., et al. (2001) · doi:10.32614/cran.package.vegan · Cited by 27,099 · see citing works
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,617 · see citing works
PHYLIP-Phylogeny inference package (Version 3.2)
Felsenstein, J. (1989) · Cladistics · Cited by 17,848 · see citing works
Gephi: An Open Source Software for Exploring and Manipulating Networks
Bastian, M., Heymann, S., & Jacomy, M. (2009) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v3i1.13937 · Cited by 11,675 · see citing works
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175 · see citing works
Ecological Diversity and Its Measurement
Magurran, A. E. (1988) · Springer eBooks · doi:10.1007/978-94-015-7358-0 · Cited by 10,986 · see citing works
Circos: An information aesthetic for comparative genomicsPreprint
Krzywinski, M. I., Schein, J. E., Birol, İ., Connors, J. M., Gascoyne, R. D., Horsman, D. E., Jones, S. J. M., & Marra, M. A. (2009) · Genome Research · doi:10.1101/gr.092759.109 · Cited by 10,838 · see citing works
The igraph software package for complex network research
Csárdi, G., & Nepusz, T. (2006) · Medical Entomology and Zoology · Cited by 10,078 · see citing works
Gotelli, N., & Colwell, R. K. (2001) · Ecology Letters · doi:10.1046/j.1461-0248.2001.00230.x · Cited by 6,529 · see citing works
Diversity and Evenness: A Unifying Notation and Its Consequences
Hill, M. O. (1973) · Ecology · doi:10.2307/1934352 · Cited by 6,355 · see citing works
Chao, A., Gotelli, N. J., Hsieh, T. C., Sander, E. L., Ma, K. H., Colwell, R. K., & Ellison, A. M. (2013) · Ecological Monographs · doi:10.1890/13-0133.1 · Cited by 4,308 · see citing works
Somatic generation of antibody diversity
Tonegawa, S. (1983) · Nature · doi:10.1038/302575a0 · Cited by 4,005 · see citing works
THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
Good, I. J. (1953) · Biometrika · doi:10.1093/biomet/40.3-4.237 · Cited by 3,427 · see citing works
Somatic generation of antibody diversity.
Matthyssens, G., Hozumi, N., & Tonegawa, S. (1976) · PubMed · Cited by 3,237 · see citing works
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 · see citing works
MiXCR: software for comprehensive adaptive immunity profiling
Bolotin, D. A., Poslavskii, S., Mitrophanov, I., Shugay, M., Mamedov, I. Z., Putintseva, E. V., & Chudakov, D. M. (2015) · Nature Methods · doi:10.1038/nmeth.3364 · Cited by 1,730 · see citing works
Measurement of "Overlap" in Comparative Ecological Studies
Horn, H. S. (1966) · The American Naturalist · doi:10.1086/282436 · Cited by 1,646 · see citing works
Performance comparison of benchtop high-throughput sequencing platforms
Loman, N. J., Misra, R., Dallman, T. J., Constantinidou, C., Gharbia, S. E., Wain, J. R., & Pallen, M. J. (2012) · Nature Biotechnology · doi:10.1038/nbt.2198 · Cited by 1,334 · see citing works
HOW TCRS BIND MHCS, PEPTIDES, AND CORECEPTORS
Rudolph, M. G., Stanfield, R. L., & Wilson, I. A. (2006) · Annual Review of Immunology · doi:10.1146/annurev.immunol.23.021704.115658 · Cited by 1,314 · see citing works
Dendroscope: An interactive viewer for large phylogenetic trees
Huson, D. H., Richter, D. C., Rausch, C. R., Dezulian, T., Franz, M., & Rupp, R. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-460 · Cited by 1,240 · see citing works
Detection and quantification of rare mutations with massively parallel sequencing
Kinde, I., Wu, J., Papadopoulos, N., Kinzler, K. W., & Vogelstein, B. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105422108 · Cited by 1,205 · see citing works
IgBLAST: an immunoglobulin variable domain sequence analysis tool
Ye, J., Ma, N., Madden, T., & Ostell, J. M. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt382 · Cited by 1,161 · see citing works
Co-evolution of a broadly neutralizing HIV-1 antibody and founder virus
Liao, H., Lynch, R. M., Zhou, T., Gao, F., Alam, S. M., Boyd, S. D., Fire, A. Z., Roskin, K. M., Schramm, C. A., Zhang, Z., et al. (2013) · Nature · doi:10.1038/nature12053 · Cited by 987 · see citing works
SEQC/MAQC-III Consortium (2014) · Nature Biotechnology · doi:10.1038/nbt.2957 · Cited by 983 · see citing works
Human memory T cells: generation, compartmentalization and homeostasis
Farber, D. L., Yudanin, N. A., & Restifo, N. P. (2014) · Nature Reviews Immunology · doi:10.1038/nri3567 · Cited by 897 · see citing works
Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data
Gupta, N. T., Heiden, J. A. V., Uduman, M., Gadala-Maria, D., Yaari, G., & Kleinstein, S. H. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv359 · Cited by 869 · see citing works
Nonparametric estimation of Shannon’s index of diversity when there are unseen species in sample
Chao, A., & Shen, T. (2003) · Environmental and Ecological Statistics · doi:10.1023/a:1026096204727 · Cited by 806 · see citing works
Focused Evolution of HIV-1 Neutralizing Antibodies Revealed by Structures and Deep Sequencing
Wu, X., Zhou, T., Zhu, J., Zhang, B., Georgiev, I. S., Wang, C., Chen, X., Longo, N. S., Louder, M. K., McKee, K., et al. (2011) · Science · doi:10.1126/science.1207532 · Cited by 785 · see citing works
Diversity in the CDR3 Region of VH Is Sufficient for Most Antibody Specificities
Xu, J. L., & Davis, M. M. (2000) · Immunity · doi:10.1016/s1074-7613(00)00006-6 · Cited by 779 · see citing works
The promise and challenge of high-throughput sequencing of the antibody repertoire
Georgiou, G., Ippolito, G. C., Beausang, J., Busse, C. E., Wardemann, H., & Quake, S. R. (2014) · Nature Biotechnology · doi:10.1038/nbt.2782 · Cited by 652 · see citing works
Perelson, A. S., & OSTER, G. F. (1979) · Journal of Theoretical Biology · doi:10.1016/0022-5193(79)90275-3 · Cited by 648 · see citing works
Tipton, C. M., Fucile, C., Darce, J. R., Chida, A. S., Ichikawa, T., Gregoretti, I. V., Schieferl, S. M., Hom, J., Jenks, S. A., Feldman, R. J., et al. (2015) · Nature Immunology · doi:10.1038/ni.3175 · Cited by 584 · see citing works
The Relation between Evenness and Diversity
Jost, L. (2010) · Diversity · doi:10.3390/d2020207 · Cited by 574 · see citing works
Ecological diversity and its measurement
KIRBY, K. J. (1989) · Trends in Ecology & Evolution · doi:10.1016/0169-5347(89)90158-4 · Cited by 571 · see citing works
Klein, F., Diskin, R., Scheid, J. F., Gaebler, C., Mouquet, H., Georgiev, I. S., Pancera, M., Zhou, T., Incesu, R., Fu, B. Z., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.018 · Cited by 525 · see citing works
Heiden, J. A. V., Yaari, G., Uduman, M., Stern, J. N. H., O’Connor, K. C., Hafler, D. A., Vigneault, F., & Kleinstein, S. H. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu138 · Cited by 469 · see citing works
Britanova, O. V., Putintseva, E. V., Shugay, M., Merzlyak, E. M., Turchaninova, M. A., Staroverov, D. B., Bolotin, D. A., Lukyanov, S., Bogdanova, E. A., Mamedov, I. Z., et al. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1302064 · Cited by 465 · see citing works
Glanville, J., Zhai, W., Berka, J., Telman, D., Huerta, G., Mehta, G. R., Ni, I., Mei, L., Sundar, P. D., Day, G. M. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909775106 · Cited by 440 · see citing works
High-Throughput Sequencing of the Zebrafish Antibody Repertoire
Weinstein, J. A., Jiang, N. J., White, R. A., III, Fisher, D. S., & Quake, S. R. (2009) · Science · doi:10.1126/science.1170020 · Cited by 432 · see citing works
Towards error-free profiling of immune repertoires
Shugay, M., Britanova, O. V., Merzlyak, E. M., Turchaninova, M. A., Mamedov, I. Z., Tuganbaev, T., Bolotin, D. A., Staroverov, D. B., Putintseva, E. V., Plevová, K., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2960 · Cited by 428 · see citing works
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 · see citing works
Boyd, S. D., Marshall, E. L., Merker, J. D., Maniar, J. M., Zhang, L. N., Sahaf, B., Jones, C. D., Simen, B. B., Hanczaruk, B., Nguyen, K. D., et al. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000540 · Cited by 387 · see citing works
Overlap and Effective Size of the Human CD8 + T Cell Receptor Repertoire
Robins, H. S., Srivastava, S. K., Campregher, P. V., Turtle, C. J., Andriesen, J. G., Riddell, S. R., Carlson, C. S., & Warren, E. H. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3001442 · Cited by 383 · see citing works
Shi, W., Liao, Y., Willis, S. N., Taubenheim, N., Inouye, M., Tarlinton, D. M., Smyth, G. K., Hodgkin, P. D., Nutt, S. L., & Corcoran, L. M. (2015) · Nature Immunology · doi:10.1038/ni.3154 · Cited by 381 · see citing works
Accurate sampling and deep sequencing of the HIV-1 protease gene using a Primer ID
Jabara, C. B., Jones, C. D., Roach, J. M., Anderson, J. A., & Swanstrom, R. I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110064108 · Cited by 357 · see citing works
Warren, R. M., Freeman, J., Zeng, T., Choe, G. H., Munro, S., Moore, R., Webb, J. R., & Holt, R. A. (2011) · Genome Research · doi:10.1101/gr.115428.110 · Cited by 351 · see citing works
Lineage Structure of the Human Antibody Repertoire in Response to Influenza Vaccination
Jiang, N., He, J., Weinstein, J. A., Penland, L., Sasaki, S., He, X.-S., Dekker, C. L., Zheng, N.-Y., Huang, M., Sullivan, M., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3004794 · Cited by 335 · see citing works
Functional heterogeneity of human memory CD4 + T cell clones primed by pathogens or vaccines
Becattini, S., Latorre, D., Mele, F., Foglierini, M., Gregorio, C. D., Cassotta, A., Fernandez, B., Kelderman, S., Schumacher, T. N., Corti, D., et al. (2014) · Science · doi:10.1126/science.1260668 · Cited by 314 · see citing works
Maximum entropy models for antibody diversity
Mora, T., Walczak, A. M., Bialek, W., & Callan, C. G. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001705107 · Cited by 313 · see citing works
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., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1673 · Cited by 292 · see citing works
Self-citationStatistical inference of the generation probability of T-cell receptors from sequence repertoires
Murugan, A., Mora, T., Walczak, A. M., & Callan, C. G. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1212755109 · Cited by 292 · see citing works
Convergent Antibody Signatures in Human Dengue
Parameswaran, P., Liu, Y., Roskin, K. M., Jackson, K., Dixit, V. P., Lee, J.-Y., Artiles, K. L., Zompì, S., Vargas, M. J., Simen, B. B., et al. (2013) · Cell Host & Microbe · doi:10.1016/j.chom.2013.05.008 · Cited by 261 · see citing works
Pereira, M. B. M., dos Santos, A. M., Gonçalves, D. C., Cardoso, A. C., Consonni, S. R., Gozzo, F. C., de Oliveira, P. S. L., Pereira, A. H. M., Figueiredo, A. R., Tiroli‐Cepeda, A. O., et al. (2015) · Nature Communications · doi:10.1038/ncomms7508 · Cited by 259 · see citing works
T cell repertoire following autologous stem cell transplantation for multiple sclerosis
Muraro, P. A., Robins, H. S., Malhotra, S., Howell, M., Phippard, D., Desmarais, C., Sousa, A. D. P. A., Griffith, L. M., Lim, N., Nash, R. A., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci71691 · Cited by 256 · see citing works
Jackson, K., Liu, Y., Roskin, K. M., Glanville, J., Hoh, R. A., Seo, K., Marshall, E. L., Gurley, T. C., Moody, M. A., Haynes, B. F., et al. (2014) · Cell Host & Microbe · doi:10.1016/j.chom.2014.05.013 · Cited by 251 · see citing works
Lavinder, J. J., Wine, Y., Giesecke‐Thiel, C., Ippolito, G. C., Horton, A. P., Lungu, O. I., Hoi, K. H., DeKosky, B. J., Murrin, E. M., Wirth, M. M., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317793111 · Cited by 239 · see citing works
Rep‐Seq: uncovering the immunological repertoire through next‐generation sequencing
Benichou, J. I. C., Ben‐Hamo, R., Louzoun, Y., & Efroni, S. (2011) · Immunology · doi:10.1111/j.1365-2567.2011.03527.x · Cited by 233 · see citing works
Number and distribution of lymphocytes in man. A critical analysis
Trepel, F. (1974) · Journal of Molecular Medicine · doi:10.1007/bf01468720 · Cited by 232 · see citing works
Maturation and Diversity of the VRC01-Antibody Lineage over 15 Years of Chronic HIV-1 Infection
Wu, X., Zhang, Z., Schramm, C. A., Joyce, M. G., Kwon, Y. D., Zhou, T., Sheng, Z., Zhang, B., O'Dell, S. J., McKee, K., et al. (2015) · Cell · doi:10.1016/j.cell.2015.03.004 · Cited by 228 · see citing works
Yaari, G., Heiden, J. A. V., Uduman, M., Gadala-Maria, D., Gupta, N., Stern, J. N. H., O’Connor, K. C., Hafler, D. A., Laserson, U., Vigneault, F., et al. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00358 · Cited by 228 · see citing works
Lindner, C., Thomsen, I., Wahl, B., Ugur, M., Sethi, M. K., Friedrichsen, M., Smoczek, A., Ott, S. J., Baumann, U., Suerbaum, S., et al. (2015) · Nature Immunology · doi:10.1038/ni.3213 · Cited by 228 · see citing works
Li, S., Lefranc, M., Miles, J. J., Alamyar, E., Giudicelli, V., Duroux, P., Freeman, J., Corbin, V., Scheerlinck, J. Y., Frohman, M. A., et al. (2013) · Nature Communications · doi:10.1038/ncomms3333 · Cited by 225 · see citing works
Niro, R. D., Lee, S., Heiden, J. A. V., Elsner, R. A., Trivedi, N. H., Bannock, J. M., Gupta, N. T., Kleinstein, S. H., Vigneault, F., Gilbert, T. J., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.06.013 · Cited by 224 · see citing works
tcR: an R package for T cell receptor repertoire advanced data analysis
Nazarov, V. I., Pogorelyy, M. V., Komech, E. A., Zvyagin, I. V., Bolotin, D. A., Shugay, M., Chudakov, D. M., Lebedev, Y. B., & Mamedov, I. Z. (2015) · BMC Bioinformatics · doi:10.1186/s12859-015-0613-1 · Cited by 223 · see citing works
Genetic measurement of memory B-cell recall using antibody repertoire sequencing
Vollmers, C., Sit, R. V., Weinstein, J. A., Dekker, C. L., & Quake, S. R. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312146110 · Cited by 222 · see citing works
Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach
Laydon, D. J., Bangham, C. R. M., & Asquith, B. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0291 · Cited by 215 · see citing works
High-throughput pairing of T cell receptor α and β sequences
Howie, B., Sherwood, A., Berkebile, A. D., Berka, J., Emerson, R., Williamson, D. W., Kirsch, I. R., Vignali, M., Rieder, M. J., Carlson, C. S., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aac5624 · Cited by 213 · see citing works
Gadala-Maria, D., Yaari, G., Uduman, M., & Kleinstein, S. H. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417683112 · Cited by 188 · see citing works
Inferring processes underlying B-cell repertoire diversity
Elhanati, Y., Sethna, Z. M., Marcou, Q., Callan, C. G., Mora, T., & Walczak, A. M. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0243 · Cited by 187 · see citing works
Sok, D., Laserson, U., Laserson, J., Liu, Y., Vigneault, F., Julien, J., Briney, B. S., Ramos, A. G., Saye-Francisco, K. L., Le, K. M., et al. (2013) · PLoS Pathogens · doi:10.1371/journal.ppat.1003754 · Cited by 183 · see citing works
A proteomics approach for the identification and cloning of monoclonal antibodies from serum
Cheung, W. C., Beausoleil, S. A., Zhang, X., Sato, S., Schieferl, S. M., Wieler, J. S., Beaudet, J. G., Ramenani, R. K., Popova, L., Comb, M. J., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2167 · Cited by 183 · see citing works
Greiff, V., Bhat, P., Cook, S. C., Menzel, U., Kang, W., & Reddy, S. T. (2015) · Genome Medicine · doi:10.1186/s13073-015-0169-8 · Cited by 181 · see citing works
Self-citationEstimating the Diversity, Completeness, and Cross-Reactivity of the T Cell Repertoire
Zarnitsyna, V. I., Evavold, B. D., Schoettle, L. N., Blattman, J. N., & Antia, R. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00485 · Cited by 180 · see citing works
Effects of Aging, Cytomegalovirus Infection, and EBV Infection on Human B Cell Repertoires
Wang, C., Liu, Y., Xu, L. T., Jackson, K., Roskin, K. M., Pham, T. D., Laserson, J., Marshall, E. L., Seo, K., Lee, J.-Y., et al. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1301384 · Cited by 179 · see citing works
Characterizing immune repertoires by high throughput sequencing: strategies and applications
Calis, J. J. A., & Rosenberg, B. R. (2014) · Trends in Immunology · doi:10.1016/j.it.2014.09.004 · Cited by 176 · see citing works
Detecting and correcting systematic variation in large-scale RNA sequencing data
Li, S., Łabaj, P. P., Zumbo, P., Sykacek, P., Shi, W., Shi, L., Phan, J., Wu, P.-Y., Wang, M., Wang, C., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.3000 · Cited by 175 · see citing works
A Mechanism for TCR Sharing between T Cell Subsets and Individuals Revealed by Pyrosequencing
Venturi, V., Quigley, M. F., Greenaway, H. Y., Ng, P. C., Ende, Z. S., McIntosh, T. C., Asher, T. E., Almeida, J. R., Levy, S., Price, D. A., et al. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003898 · Cited by 175 · see citing works
MiTCR: software for T-cell receptor sequencing data analysis
Bolotin, D. A., Shugay, M., Mamedov, I. Z., Putintseva, E. V., Turchaninova, M. A., Zvyagin, I. V., Britanova, O. V., & Chudakov, D. M. (2013) · Nature Methods · doi:10.1038/nmeth.2555 · Cited by 173 · see citing works
Sequencing the functional antibody repertoire—diagnostic and therapeutic discovery
Robinson, W. H. (2014) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2014.220 · Cited by 171 · see citing works
High-resolution antibody dynamics of vaccine-induced immune responses
Laserson, U., Vigneault, F., Gadala-Maria, D., Yaari, G., Uduman, M., Heiden, J. A. V., Kelton, W., Jung, S. T., Liu, Y., Laserson, J., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323862111 · Cited by 171 · see citing works
Madi, A., Shifrut, E., Reich-Zeliger, S., Gal, H., Best, K., Ndifon, W. O., Chain, B., Cohen, I. R., & Friedman, N. (2014) · Genome Research · doi:10.1101/gr.170753.113 · Cited by 171 · see citing works
Bolotin, D. A., Mamedov, I. Z., Britanova, O. V., Zvyagin, I. V., Shagin, D. A., Ustyugova, S. V., Turchaninova, M. A., Lukyanov, S., Lebedev, Y. B., & Chudakov, D. M. (2012) · European Journal of Immunology · doi:10.1002/eji.201242517 · Cited by 147 · see citing works
Quantifying selection in immune receptor repertoires
Elhanati, Y., Murugan, A., Callan, C. G., Mora, T., & Walczak, A. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1409572111 · Cited by 145 · see citing works
αβ T cell receptors as predictors of health and disease
Attaf, M., Huseby, E. S., & Sewell, A. K. (2015) · Cellular and Molecular Immunology · doi:10.1038/cmi.2014.134 · Cited by 136 · see citing works
Zhu, J., Ofek, G., Yang, Y., Zhang, B., Louder, M. K., Lu, G., McKee, K., Pancera, M., Skinner, J., Zhang, Z., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219320110 · Cited by 135 · see citing works
Bashford-Rogers, R. J. M., Palser, A. L., Huntly, B. J. P., Rance, R., Vassiliou, G. S., Follows, G., & Kellam, P. (2013) · Genome Research · doi:10.1101/gr.154815.113 · Cited by 135 · see citing works
Aging and developmental transitions in the B cell lineage
Johnson, K. M. (2002) · International Immunology · doi:10.1093/intimm/dxf092 · Cited by 128 · see citing works
Gaëta, B. A., Malming, H. R., Jackson, K., Bain, M., Wilson, P. C., & Collins, A. M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm147 · Cited by 128 · see citing works
The analysis of clonal expansions in normal and autoimmune B cell repertoires
Hershberg, U., & Prak, E. T. L. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0239 · Cited by 124 · see citing works
Busse, C. E., Czogiel, I., Braun, P., Arndt, P. F., & Wardemann, H. (2014) · European Journal of Immunology · doi:10.1002/eji.201343917 · Cited by 121 · see citing works
IgTree©: Creating Immunoglobulin variable region gene lineage trees
Barak, M., Zuckerman, N. S., Edelman, H., Unger, R., & Mehr, R. (2008) · Journal of Immunological Methods · doi:10.1016/j.jim.2008.06.006 · Cited by 120 · see citing works
Methods for diversity and overlap analysis in T-cell receptor populations
Rempała, G. A., & Seweryn, M. T. (2012) · Journal of Mathematical Biology · doi:10.1007/s00285-012-0589-7 · Cited by 117 · see citing works
The Shape of the Lymphocyte Receptor Repertoire: Lessons from the B Cell Receptor
Jackson, K., Kidd, M. J., Wang, Y., & Collins, A. M. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00263 · Cited by 115 · see citing works
Distinctive properties of identical twins' TCR repertoires revealed by high-throughput sequencing
Zvyagin, I. V., Pogorelyy, M. V., Ivanova, M. E., Komech, E. A., Shugay, M., Bolotin, D. A., Shelenkov, A. A., Kurnosov, A. A., Staroverov, D. B., Chudakov, D. M., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1319389111 · Cited by 114 · see citing works
Assessment of immune status using blood transcriptomics and potential implications for global health
Chaussabel, D. (2015) · Seminars in Immunology · doi:10.1016/j.smim.2015.03.002 · Cited by 111 · see citing works
Zipf’s Law and Criticality in Multivariate Data without Fine-Tuning
Schwab, D. J., Nemenman, I. M., & Mehta, P. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.068102 · Cited by 104 · see citing works
Dunn‐Walters, D. K., & Ademokun, A. (2010) · Current Opinion in Immunology · doi:10.1016/j.coi.2010.04.009 · Cited by 103 · see citing works
Collins, A. M., Wang, Y., Roskin, K. M., Marquis, C. P., & Jackson, K. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0236 · Cited by 95 · see citing works
B-cell repertoire responses to varicella-zoster vaccination in human identical twins
Wang, C., Liu, Y., Cavanagh, M., Saux, S. L., Qi, Q., Roskin, K. M., Looney, T. J., Lee, J.-Y., Dixit, V. P., Dekker, C. L., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415875112 · Cited by 93 · see citing works
Francica, J. R., Sheng, Z., Zhang, Z., Nishimura, Y., Shingai, M., Ramesh, A., Keele, B. F., Schmidt, S. D., Flynn, B. J., Darko, S. W., et al. (2015) · Nature Communications · doi:10.1038/ncomms7565 · Cited by 88 · see citing works
IgH sequences in common variable immune deficiency reveal altered B cell development and selection
Roskin, K. M., Simchoni, N., Liu, Y., Lee, J.-Y., Seo, K., Hoh, R. A., Pham, T. D., Park, J. H., Furman, D., Dekker, C. L., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aab1216 · Cited by 88 · see citing works
Egorov, E. S., Merzlyak, E. M., Shelenkov, A. A., Britanova, O. V., Sharonov, G. V., Staroverov, D. B., Bolotin, D. A., Davydov, A. N., Barsova, E. A., Lebedev, Y. B., et al. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1500215 · Cited by 87 · see citing works
Zhu, J., Wu, X., Zhang, B., McKee, K., O'Dell, S. J., Soto, C. S., Zhou, T., Casazza, J. P., Program, N. C. S., Mullikin, J. C., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1306262110 · Cited by 87 · see citing works
Quantification of HTLV-1 Clonality and TCR Diversity
Laydon, D. J., Melamed, A., Sim, A., Gillet, N. A., Sim, K., Darko, S. W., Kroll, J. S., Douek, D. C., Price, D. A., Bangham, C. R. M., et al. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003646 · Cited by 76 · see citing works
Next generation deep sequencing and vaccine design: today and tomorrow
Luciani, F., Bull, R. A., & Lloyd, A. R. (2012) · Trends in biotechnology · doi:10.1016/j.tibtech.2012.05.005 · Cited by 72 · see citing works
Nguyen, L. V., Makarem, M., Carles, A., Moksa, M., Kannan, N., Pandoh, P. K., Eirew, P. D., Osako, T., Kardel, M., Cheung, A. M. S., et al. (2014) · Cell stem cell · doi:10.1016/j.stem.2013.12.011 · Cited by 67 · see citing works
Rphylip: an R interface for PHYLIP
Revell, L. J., & Chamberlain, S. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12233 · Cited by 66 · see citing works
Greiff, V., Menzel, U., Haessler, U., Cook, S. C., Friedensohn, S., Khan, T. A., Pogson, M., Hellmann, I., & Reddy, S. T. (2014) · BMC Immunology · doi:10.1186/s12865-014-0040-5 · Cited by 64 · see citing works
Self-citationDo most lymphocytes in humans really reside in the gut?
Ganusov, V., & de Boer, R. D. (2007) · Trends in immunology · doi:10.1016/j.it.2007.08.009 · Cited by 60 · see citing works
Zhu, J. (2012) · Frontiers in Microbiology · doi:10.3389/fmicb.2012.00315 · Cited by 60 · see citing works
Sundling, C., Zhang, Z., Phad, G. E., Sheng, Z., Wang, Y., Mascola, J. R., Li, Y., Wyatt, R. T., Shapiro, L. S., & Hedestam, G. B. K. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1303334 · Cited by 56 · see citing works
A clonotype nomenclature for T cell receptors
Yassai, M. B., Naumov, Y. N., Naumova, E. N., & Gorski, J. (2009) · Immunogenetics · doi:10.1007/s00251-009-0383-x · Cited by 53 · see citing works
Antibody repertoire deep sequencing reveals antigen-independent selection in maturing B cells
Kaplinsky, J., Li, A., Sun, A. L., Coffre, M., Koralov, S. B., & Arnaout, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1403278111 · Cited by 52 · see citing works
Capturing needles in haystacks: a comparison of B-cell receptor sequencing methods
Bashford-Rogers, R. J. M., Palser, A. L., Idris, S. F., Carter, L., Epstein, M., Callard, R. E., Douek, D. C., Vassiliou, G. S., Follows, G., Hubank, M. J. F., et al. (2014) · BMC Immunology · doi:10.1186/s12865-014-0029-0 · Cited by 49 · see citing works
Reconstructing and mining the B cell repertoire with ImmunediveRsity
Cortina-Ceballos, B., Godoy-Lozano, E. E., Sámano‐Sánchez, H., Aguilar-Salgado, A., Velasco‐Herrera, M. D. C., Vargas-Chávez, C., Velázquez-Ramírez, D. D., Romero, G., Moreno, J. G., Téllez‐Sosa, J., et al. (2015) · mAbs · doi:10.1080/19420862.2015.1026502 · Cited by 48 · see citing works
Menzel, U., Greiff, V., Khan, T. A., Haessler, U., Hellmann, I., Friedensohn, S., Cook, S. C., Pogson, M., & Reddy, S. T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096727 · Cited by 47 · see citing works
Self-citationHuge Overlap of Individual TCR Beta Repertoires
Shugay, M., Bolotin, D. A., Putintseva, E. V., Pogorelyy, M. V., Mamedov, I. Z., & Chudakov, D. M. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00466 · Cited by 46 · see citing works
Snir, O., Mesin, L., Gidoni, M., Lundin, K. E. A., Yaari, G., & Sollid, L. M. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1402611 · Cited by 43 · see citing works
A Comparative Approach to Species Diversity
Solomon, D. (1975) · Cited by 41 · see citing works
Nair, N., Newell, E. W., Vollmers, C., Quake, S. R., Morton, J. M., Davis, M. M., He, X.-S., & Greenberg, H. B. (2015) · Mucosal Immunology · doi:10.1038/mi.2015.36 · Cited by 40 · see citing works
Clustering-based identification of clonally-related immunoglobulin gene sequence sets
Chen, Z., Collins, A. M., Wang, Y., & Gaëta, B. A. (2010) · Immunome Research · doi:10.1186/1745-7580-6-s1-s4 · Cited by 37 · see citing works
IgSimulator: a versatile immunosequencing simulator
Safonova, Y., Lapidus, A. L., & Lill, J. R. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv326 · Cited by 36 · see citing works
Deakin, C. T., Deakin, J. J., Ginn, S. L., Young, P. E., Humphreys, D. T., Suter, C. M., Alexander, I. E., & Hallwirth, C. V. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku607 · Cited by 33 · see citing works
Dynamics of immunoglobulin sequence diversity in HIV-1 infected individuals
Hoehn, K. B., Gall, A., Bashford-Rogers, R. J. M., Fidler, S. J., Kaye, S., Weber, J. N., McClure, M. O., SPARTAC Trial Investigators, Kellam, P., & Pybus, O. G. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0241 · Cited by 30 · see citing works
Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach
Bolkhovskaya, O. V., Юрьевич, З. Д., & Ivanchenko, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108658 · Cited by 30 · see citing works
Estorninho, M., Gibson, V. B., Kronenberg‐Versteeg, D., Liu, Y., Ni, C., Cerosaletti, K. M., & Peakman, M. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1300622 · Cited by 26 · see citing works
Hehle, V. K., Fraser, L. D., Tahir, R., Kipling, D., Wu, Y.-C. B., Lutalo, P., Cason, J. W., Choong, L., D’Cruz, D. P., Cope, A. P., et al. (2015) · Molecular Immunology · doi:10.1016/j.molimm.2015.01.017 · Cited by 17 · see citing works
Specificity, promiscuity, and precursor frequency in immunoreceptors
Venturi, V., Rudd, B. D., & Davenport, M. P. (2013) · Current Opinion in Immunology · doi:10.1016/j.coi.2013.07.001 · Cited by 15 · see citing works
Foreword: inverse problems in biology
Lassas, M. J., & Siltanen, S. (2013) · Journal of Mathematical Biology · doi:10.1007/s00285-013-0700-8 · Cited by 5 · see citing works
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Best practices for single-cell analysis across modalities
Heumos, L., Schaar, A. C., Lance, C., Litinetskaya, A., Drost, F., Zappia, L., Lücken, M. D., Strobl, D. C., Henao, J., Curion, F., et al. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00586-w · Cited by 1,051 · see citing works
“Owing to inherent structural differences of the modalities, novel approaches such as TESSA 186 , mvTCR 187 or Conga 188 for TCR data and Benisse 189 for BCR data aim to integrate both modalities for easier joint annotations and visualizations.”
MethodAntigen receptor repertoire profiling from RNA-seq data
Bolotin, D. A., Poslavskii, S., Davydov, A. N., Frenkel, F. E., Fanchi, L. F., Zolotareva, O. I., Hemmers, S., Putintseva, E. V., Obraztsova, A., Shugay, M., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3979 · Cited by 318 · see citing works
Computational genomics tools for dissecting tumour–immune cell interactions
Hackl, H., Charoentong, P., Finotello, F., & Trajanoski, Z. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.67 · Cited by 266 · see citing works
A blueprint for tumor-infiltrating B cells across human cancers
Ma, J., Wu, Y. C., Ma, L., Yang, X., Zhang, T., Song, G., Li, T., Gao, K., Shen, X., Lin, J., et al. (2024) · Science · doi:10.1126/science.adj4857 · Cited by 262 · see citing works
Corcoran, M., Phad, G. E., Bernat, N. V., Stahl‐Hennig, C., Sumida, N., Persson, M. A. A., Martin, M., & Hedestam, G. B. K. (2016) · Nature Communications · doi:10.1038/ncomms13642 · Cited by 222 · see citing works
T-cell repertoire analysis and metrics of diversity and clonality
Chiffelle, J., Genolet, R., Perez, M. A. S., Coukos, G., Zoete, V., & Harari, A. (2020) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2020.07.010 · Cited by 215 · see citing works
Applications of Immunogenomics to Cancer
Liu, X. S., & Mardis, E. R. (2017) · Cell · doi:10.1016/j.cell.2017.01.014 · Cited by 202 · see citing works
Miho, E., Yermanos, A., Weber, C. R., Berger, C. T., Reddy, S. T., & Greiff, V. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00224 · Cited by 189 · see citing works
Self-citationCommunity, T. A., Rubelt, F., Busse, C. E., Bukhari, S. A. C., Bürckert, J.-P., Mariotti-Ferrandiz, E., Cowell, L. G., Watson, C. T., Marthandan, N., Faison, W. J., et al. (2017) · Nature Immunology · doi:10.1038/ni.3873 · Cited by 178 · see citing works
Greiff, V., Menzel, U., Miho, E., Weber, C. R., Riedel, R., Cook, S. C., Valai, A., Lopes, T., Radbruch, A., Winkler, T., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.04.054 · Cited by 164 · see citing works
Self-citationUltra-high-throughput sequencing of the immune receptor repertoire from millions of lymphocytes
McDaniel, J. R., DeKosky, B. J., Tanno, H., Ellington, A. D., & Georgiou, G. (2016) · Nature Protocols · doi:10.1038/nprot.2016.024 · Cited by 160 · see citing works
Deciphering the language of antibodies using self-supervised learning
Leem, J., Mitchell, L., Farmery, J. H. R., Barton, J., & Galson, J. D. (2022) · Patterns · doi:10.1016/j.patter.2022.100513 · Cited by 154 · see citing works
Resident memory CD8 T cells persist for years in human small intestine
Bartolomé-Casado, R., Landsverk, O. J. B., Chauhan, S. K., Richter, L., Phung, D., Greiff, V., Risnes, L. F., Yao, Y., Neumann, R. S., Yaqub, S., et al. (2019) · The Journal of Experimental Medicine · doi:10.1084/jem.20190414 · Cited by 152 · see citing works
Self-citationLarge-scale network analysis reveals the sequence space architecture of antibody repertoires
Miho, E., Roškar, R., Greiff, V., & Reddy, S. T. (2019) · Nature Communications · doi:10.1038/s41467-019-09278-8 · Cited by 138 · see citing works
Self-citationBenchmarking of T cell receptor repertoire profiling methods reveals large systematic biases
Barennes, P., Quiniou, V., Shugay, M., Egorov, E. S., Davydov, A. N., Chudakov, D. M., Uddin, I., Ismail, M., Oakes, T., Chain, B., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0656-3 · Cited by 134 · see citing works
Ye, Y., Chen, Z., Jiang, S., Jia, F., Li, T., Lu, X., Xue, J., Lian, X., Ma, J., Hao, P., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34145-4 · Cited by 132 · see citing works
Measuring the diversity of the human microbiota with targeted next-generation sequencing
Finotello, F., Mastrorilli, E., & Camillo, B. D. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw119 · Cited by 127 · see citing works
Advanced Methodologies in High-Throughput Sequencing of Immune Repertoires
Friedensohn, S., Khan, T. A., & Reddy, S. T. (2016) · Trends in biotechnology · doi:10.1016/j.tibtech.2016.09.010 · Cited by 118 · see citing works
Self-citationDisease diagnostics using machine learning of B cell and T cell receptor sequences
Zaslavsky, M., Craig, E., Michuda, J., Sehgal, N., Ram-Mohan, N., Lee, J.-Y., Nguyen, K. D., Hoh, R. A., Pham, T. D., Röltgen, K., et al. (2025) · Science · doi:10.1126/science.adp2407 · Cited by 123 · see citing works
Mathew, N. R., Jayanthan, J. K., Smirnov, I. V., Robinson, J. L., Axelsson, H., Nakka, S. S., Emmanouilidi, A., Czarnewski, P., Yewdell, W. T., Schön, K., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109286 · Cited by 115 · see citing works
Self-citationGreiff, V., Weber, C. R., Palme, J., Bodenhofer, U., Miho, E., Menzel, U., & Reddy, S. T. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1700594 · Cited by 113 · see citing works
Self-citationHoehn, K. B., Heiden, J. A. V., Zhou, J. Q., Lunter, G. A., Pybus, O. G., & Kleinstein, S. H. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1906020116 · Cited by 110 · see citing works
Accurate and predictive antibody repertoire profiling by molecular amplification fingerprinting
Khan, T. A., Friedensohn, S., de Vries, A. R. G., Straszewski, J., Ruscheweyh, H., & Reddy, S. T. (2016) · Science Advances · doi:10.1126/sciadv.1501371 · Cited by 103 · see citing works
Self-citationHistory, applications, and challenges of immune repertoire research
Liu, X., & Wu, J. (2018) · Cell Biology and Toxicology · doi:10.1007/s10565-018-9426-0 · Cited by 92 · see citing works
Adaptive immune responses to SARS-CoV-2 persist in the pharyngeal lymphoid tissue of children
Xu, Q., Milanez‐Almeida, P., Martins, A. J., Radtke, A. J., Hoehn, K. B., Oguz, C., Chen, J., Liu, C., Tang, J., Grubbs, G., et al. (2022) · Nature Immunology · doi:10.1038/s41590-022-01367-z · Cited by 80 · see citing works
Immunology in the Era of Single-Cell Technologies
Efremova, M., Vento‐Tormo, R., Park, J.-E., Teichmann, S. A., & James, K. R. (2020) · Annual Review of Immunology · doi:10.1146/annurev-immunol-090419-020340 · Cited by 77 · see citing works
Maestri, E., Pavlićević, M., Montorsi, M., & Marmiroli, N. (2018) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12402 · Cited by 78 · see citing works
Porebski, B. T., Balmforth, M. R., Browne, G. J., Riley, A., Jamali, K., Fürst, M. J. L. J., Velic, M., Buchanan, A. G., Minter, R., Vaughan, T. J., et al. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01093-3 · Cited by 72 · see citing works
Aversa, I., Malanga, D., Fiume, G., & Palmieri, C. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072378 · Cited by 71 · see citing works
How repertoire data are changing antibody science
Marks, C., & Deane, C. M. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.rev120.010181 · Cited by 68 · see citing works
Ohlin, M., Scheepers, C., Corcoran, M., Lees, W., Busse, C. E., Bagnara, D., Thörnqvist, L., Bürckert, J.-P., Jackson, K., Ralph, D., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00435 · Cited by 63 · see citing works
Self-citationComparative analysis of murine T‐cell receptor repertoires
Izraelson, M., Nakonechnaya, T. O., Moltedo, B., Egorov, E. S., Kasatskaya, S. A., Putintseva, E. V., Mamedov, I. Z., Staroverov, D. B., Shemiakina, I. I., Zakharova, M. Y., et al. (2017) · Immunology · doi:10.1111/imm.12857 · Cited by 58 · see citing works
Weber, C. R., Akbar, R., Yermanos, A., Pavlović, M., Snapkov, I., Sandve, G. K., Reddy, S. T., & Greiff, V. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa158 · Cited by 60 · see citing works
Self-citationBrown, A. J., Snapkov, I., Akbar, R., Pavlović, M., Miho, E., Sandve, G. K., & Greiff, V. (2019) · Molecular Systems Design & Engineering · doi:10.1039/c9me00071b · Cited by 59 · see citing works
Self-citationAdaptive immune receptor repertoire analysis
Mhanna, V., Bashour, H., Quý, K. L., Barennes, P., Rawat, P., Greiff, V., & Mariotti‐Ferrandiz, E. (2024) · Nature Reviews Methods Primers · doi:10.1038/s43586-023-00284-1 · Cited by 62 · see citing works
Self-citationRoy, B., Neumann, R. S., Snir, O., Iversen, R., Sandve, G. K., Lundin, K. E. A., & Sollid, L. M. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1700169 · Cited by 54 · see citing works
Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences
Smakaj, E., Babrak, L. M., Ohlin, M., Shugay, M., Briney, B. S., Tosoni, D., Galli, C., Grobelsek, V., D’Angelo, I., Olson, B. J., et al. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz845 · Cited by 54 · see citing works
Self-citationT cell Repertoire Profiling and the Mechanism by which HLA-B27 Causes Ankylosing Spondylitis
Garrido‐Mesa, J., & Brown, M. A. (2022) · Current Rheumatology Reports · doi:10.1007/s11926-022-01090-6 · Cited by 53 · see citing works
Quantifying lymphocyte receptor diversityPreprint
Mora, T., & Walczak, A. M. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/046870 · Cited by 53 · see citing works
Novel Approaches to Analyze Immunoglobulin Repertoires
Wardemann, H., & Busse, C. E. (2017) · Trends in Immunology · doi:10.1016/j.it.2017.05.003 · Cited by 51 · see citing works
Progress and challenges in mass spectrometry-based analysis of antibody repertoires
Snapkov, I., Chernigovskaya, M., Sinitcyn, P. G., Quý, K. L., Nyman, T. A., & Greiff, V. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2021.08.006 · Cited by 50 · see citing works
Self-citationCutting Edge: Ig H Chains Are Sufficient to Determine Most B Cell Clonal Relationships
Zhou, J. Q., & Kleinstein, S. H. (2019) · The Journal of Immunology · doi:10.4049/jimmunol.1900666 · Cited by 47 · see citing works
Yermanos, A., Greiff, V., Kräutler, N. J., Menzel, U., Dounas, A., Miho, E., Oxenius, A., Stadler, T., & Reddy, S. T. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx533 · Cited by 47 · see citing works
Self-citationHow B-Cell Receptor Repertoire Sequencing Can Be Enriched with Structural Antibody Data
Kovaltsuk, A., Krawczyk, K., Galson, J. D., Kelly, D. F., Deane, C. M., & Trück, J. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01753 · Cited by 48 · see citing works
The methods and advances of adaptive immune receptors repertoire sequencing
Liu, H., Pan, W., Tang, C., Tang, Y., Wu, H., Yoshimura, A., Deng, Y., He, N., & Li, S. (2021) · Theranostics · doi:10.7150/thno.61390 · Cited by 47 · see citing works
Kremenovic, M., Chan, A. A., Feng, B., Bäriswyl, L., Robatel, S., Gruber, T., Tang, L., Lee, D. J., & Schenk, M. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-004133 · Cited by 46 · see citing works
Rettig, T. A., Ward, C., Bye, B. A., Pecaut, M. J., & Chapes, S. K. (2018) · PLoS ONE · doi:10.1371/journal.pone.0190982 · Cited by 46 · see citing works
Exploring the pre-immune landscape of antigen-specific T cells
Pogorelyy, M. V., Fedorova, A. D., McLaren, J. E., Ladell, K., Bagaev, D. V., Eliseev, A. V., Mikelov, A. I., Koneva, A. E., Zvyagin, I. V., Price, D. A., et al. (2018) · Genome Medicine · doi:10.1186/s13073-018-0577-7 · Cited by 46 · see citing works
Yermanos, A., Agrafiotis, A., Kuhn, R., Robbiani, D., Yates, J., Papadopoulou, C., Han, J., Sandu, I., Weber, C. R., Bieberich, F., et al. (2021) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqab023 · Cited by 45 · see citing works
Self-citationRajan, S., Kierny, M. R., Mercer, A., Wu, J., Tovchigrechko, A., Wu, H., Dall’Acqua, W. F., Xiao, X., & Chowdhury, P. S. (2018) · Communications Biology · doi:10.1038/s42003-017-0006-2 · Cited by 44 · see citing works
Elfatimi, E., Lekbach, Y., Prakash, S., & BenMohamed, L. (2025) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2025.1620572 · Cited by 50 · see citing works
Kräutler, N. J., Yermanos, A., Pedrioli, A., Welten, S. P. M., Lorgé, D., Greczmiel, U., Wahl, I., Scheuermann, J., Kiefer, J. D., Eyer, K., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2019.12.088 · Cited by 43 · see citing works
Self-citationConvergent selection in antibody repertoires is revealed by deep learningPreprint
Friedensohn, S., Neumeier, D., Khan, T. A., Csepregi, L., Parola, C., de Vries, A. R. G., Erlach, L., Mason, D. M., & Reddy, S. T. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.25.965673 · Cited by 43 · see citing works
Self-citationAmoriello, R., Greiff, V., Aldinucci, A., Bonechi, E., Carnasciali, A., Peruzzi, B., Repice, A. M., Mariottini, A., Saccardi, R., Mazzanti, B., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00559 · Cited by 38 · see citing works
Self-citationRichardson, 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 38 · see citing works
Reconstructing Antibody Repertoires from Error-Prone Immunosequencing Reads
Shlemov, A., Bankevich, S., Bzikadze, A. V., Turchaninova, M. A., Safonova, Y., & Pevzner, P. A. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1700485 · Cited by 37 · see citing works
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 37 · see citing works
Amoriello, R., Chernigovskaya, M., Greiff, V., Carnasciali, A., Massacesi, L., Barilaro, A., Repice, A. M., Biagioli, T., Aldinucci, A., Muraro, P. A., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103429 · Cited by 36 · see citing works
Self-citationCarpenter, S. M., & Lu, L. L. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.830482 · Cited by 34 · see citing works
Unbiased quantification of immunoglobulin diversity at the DNA level with VDJ-seq
Chovanec, P., Bolland, D. J., Matheson, L. S., Wood, A. L., Krueger, F., Andrews, S., & Corcoran, A. E. (2018) · Nature Protocols · doi:10.1038/nprot.2018.021 · Cited by 34 · see citing works
Peri, A., Greenstein, E., Alon, M., Pai, J. A., Dingjan, T., Reich-Zeliger, S., Barnea, E., Barbolin, C., Levy, R., Arnedo-Pac, C., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci129466 · Cited by 34 · see citing works
Friedensohn, S., Lindner, J. M., Cornacchione, V., Iazeolla, M., Miho, E., Zingg, A., Meng, S. M., Traggiai, E., & Reddy, S. T. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01401 · Cited by 33 · see citing works
Self-citationAncesTree: An interactive immunoglobulin lineage tree visualizer
Foglierini, M., Pappas, L., Lanzavecchia, A., Corti, D., & Perez, L. H. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007731 · Cited by 31 · see citing works
Aschauer, C., Jelencsics, K. E., Hu, K., Heinzel, A., Gregorich, M., Vetter, J., Schaller, S., Winkler, S., Weinberger, J., Pimenov, L., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.750005 · Cited by 30 · see citing works
Tracing Antibody Repertoire Evolution by Systems Phylogeny
Yermanos, A., Dounas, A., Stadler, T., Oxenius, A., & Reddy, S. T. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02149 · Cited by 29 · see citing works
Self-citationScharf, L., Axelsson, H., Emmanouilidi, A., Mathew, N. R., Sheward, D. J., Leach, S., Isakson, P., Smirnov, I. V., Marklund, E., Miron, N., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.165299 · Cited by 26 · see citing works
Yokota, R., Kaminaga, Y., & Kobayashi, T. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01500 · Cited by 27 · see citing works
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 · see citing works
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 · see citing works
Self-citationInsights into next generation sequencing guided antibody selection strategies
Erasmus, M. F., Ferrara, F., D'Angelo, S., Spector, L., Leal-Lopes, C., Teixeira, A. A. R., Sørensen, J., Nagpal, S., Perea-Schmittle, K., Choudhary, A., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-45538-w · Cited by 25 · see citing works
Self-citationDNA demethylating agent decitabine broadens the peripheral T cell receptor repertoire
Nie, J., Zhang, Y., Li, X., Chen, M., Liu, C., & Han, W. (2016) · Oncotarget · doi:10.18632/oncotarget.9352 · Cited by 24 · see citing works
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 · see citing works
A single donor is sufficient to produce a highly functional in vitro antibody library
Erasmus, M. F., D’Angelo, S., Ferrara, F., Naranjo, L. A., Teixeira, A. A. R., Buonpane, R. A., Stewart, S. M., Nastri, H. G., & Bradbury, A. M. (2021) · Communications Biology · doi:10.1038/s42003-021-01881-0 · Cited by 23 · see citing works
RepSeq Data Representativeness and Robustness Assessment by Shannon Entropy
Chaara, W., Mariotti‐Ferrandiz, E., Gonzalez-Tort, A., Flórez, L., Six, A., & Klatzmann, D. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01038 · Cited by 23 · see citing works
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 · see citing works
ASAP - A Webserver for Immunoglobulin-Sequencing Analysis Pipeline
Avram, O., Vaisman‐Mentesh, A., Yehezkel, D., Ashkenazy, H., Pupko, T., & Wine, Y. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01686 · Cited by 21 · see citing works
Persistence of intrathecal oligoclonal B cells and IgG in multiple sclerosis
Tomescu‐Baciu, A., Johansen, J. N., Holmøy, T., Greiff, V., Stensland, M., de Souza, G. A., Vartdal, F., & Lossius, A. (2019) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2019.576966 · Cited by 22 · see citing works
Self-citationCD8+ T-Cell Repertoire in Human Leukocyte Antigen Class I-Mismatched Alloreactive Immune Response
Bettens, F., Sollet, Z. C., Bühler, S., & Villard, J. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2020.588741 · Cited by 21 · see citing works
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Natali, E. N., Babrak, L. M., & Miho, E. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.574411 · Cited by 21 · see citing works
Self-citationAbalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires
Zong, F., Long, C., Hu, W., Chen, S., Dai, W., Xiao, Z. J., & Cao, Y. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad400 · Cited by 21 · see citing works
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 · see citing works
Self-citationImmune 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 20 · see citing works
Self-citationAbDiver-a tool to explore the natural antibody landscape to aid therapeutic design
Młokosiewicz, J., Deszyński, P., Wilman, W., Jaszczyszyn, I., Ganesan, R., Kovaltsuk, A., Leem, J., Galson, J. D., & Krawczyk, K. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac151 · Cited by 19 · see citing works
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 · see citing works
Self-citationA comprehensive evaluation of diversity measures for TCR repertoire profiling
Mika, J., Polanska, A., Blenman, K., Pusztai, L., Polańska, J., Candéias, S. M., & Marczyk, M. (2025) · BMC Biology · doi:10.1186/s12915-025-02236-5 · Cited by 19 · see citing works
Machine Learning Detects Anti-DENV Signatures in Antibody Repertoire Sequences
Horst, A., Smakaj, E., Natali, E. N., Tosoni, D., Babrak, L. M., Meier, P., & Miho, E. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.715462 · Cited by 18 · see citing works
Self-citationKockelbergh, H., Evans, S. C., Deng, T., Clyne, E., Kyriakidou, A., Economou, A., Hoang, K. N. L., Woodmansey, S., Foers, A. D., Fowler, A., et al. (2022) · Diagnostics · doi:10.3390/diagnostics12051222 · Cited by 18 · see citing works
VDJPipe: a pipelined tool for pre-processing immune repertoire sequencing data
Christley, S., Levin, M. K., Toby, I. T., Fonner, J. M., Monson, N. L., Rounds, W. H., Rubelt, F., Scarborough, W., Scheuermann, R. H., & Cowell, L. G. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1853-z · Cited by 18 · see citing works
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 17 · see citing works
Pavlović, M., Hajj, G. S. A., Kanduri, C., Pensar, J., Wood, M. E., Sollid, L. M., Greiff, V., & Sandve, G. K. (2024) · Nature Machine Intelligence · doi:10.1038/s42256-023-00781-8 · Cited by 23 · see citing works
Self-citationDevulapally, P. R., Bürger, J., Mielke, T., Konthur, Z., Lehrach, H. R., Yaspo, M., Glökler, J., & Warnatz, H.-J. (2018) · Genome Medicine · doi:10.1186/s13073-018-0542-5 · Cited by 17 · see citing works
Advances and applications of immune receptor sequencing in systems immunology
Lindau, P., & Robins, H. S. (2016) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2016.12.009 · Cited by 16 · see citing works
Richardson, E., Binter, Š., Kosmač, M., Ghraichy, M., von Niederhäusern, V., Kovaltsuk, A., Galson, J. D., Trück, J., Kelly, D. F., Deane, C. M., et al. (2023) · eLife · doi:10.7554/elife.81629 · Cited by 16 · see citing works
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 15 · see citing works
Aterido, A., Lasanta, M. L., Blanco, F. J., Juan-Mas, A., García-Vivar, M. L., Erra, A., Pérez-García, C., Fernández, S., Sanmartí, R., Fernández‐Nebro, A., et al. (2024) · Genome biology · doi:10.1186/s13059-024-03210-0 · Cited by 15 · see citing works
In Silico Prediction Analysis of Idiotope-Driven T–B Cell Collaboration in Multiple Sclerosis
Høglund, R. A., Lossius, A., Johansen, J. N., Homan, E. J., Benth, J. Š., Robins, H. S., Bogen, B., Bremel, R. D., & Holmøy, T. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01255 · Cited by 15 · see citing works
A new clustering method identifies multiple sclerosis‐specific T‐cell receptors
Hayashi, F., Isobe, N., Glanville, J., Matsushita, T., Maimaitijiang, G., Fukumoto, S., Watanabe, M., Masaki, K., & Kira, J. (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51264 · Cited by 15 · see citing works
A Deep Learning Model for Accurate Diagnosis of Infection Using Antibody Repertoires
Chen, Y., Ye, Z., Zhang, Y., Xie, W., Chen, Q., Lan, C., Yang, X., Zeng, H., Zhu, Y., Ma, C., et al. (2022) · The Journal of Immunology · doi:10.4049/jimmunol.2200063 · Cited by 14 · see citing works
Sequencing the peripheral blood B and T cell repertoire – Quantifying robustness and limitations
Simon, J. S., Botero, S., & Simon, S. M. (2018) · Journal of Immunological Methods · doi:10.1016/j.jim.2018.10.003 · Cited by 14 · see citing works
Mathew, N. R., Jayanthan, J. K., Smirnov, I. V., Robinson, J. L., Axelsson, H., Nakka, S. S., Emmanouilidi, A., Czarnewski, P., Yewdell, W. T., Schön, K., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111764 · Cited by 13 · see citing works
Self-citation
- Authors
- Greiff, V., Miho, E., Menzel, U., & Reddy, S. T.
- Affiliations
- ETH Zurich (CH)
- Corresponding author
- Reddy, Sai T.
- Venue
- Trends in Immunology
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 36
- Issue
- 11
- Pages
- 738-749
- ISSN
- 1471-4906 (ISSN-L)
- OpenAlex
- W1883768105
- Cited by
- 210
- References
- 132
- Citations by year
- 2026: 17 · 2025: 17 · 2024: 26 · 2023: 15 · 2022: 28 · 2021: 23 · 2020: 26 · 2019: 14 · 2018: 15 · 2017: 17 · 2016: 12
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Immunology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- 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
- Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
- Keywords
- immune repertoire sequencing, adaptive immune response, bioinformatics analysis, statistical analysis, B cell receptor repertoire, T cell receptor repertoire, lymphocyte biology
- MeSH terms
- Animals, Data Interpretation, Statistical, Humans, Computational Biology, Adaptive Immunity, High-Throughput Nucleotide Sequencing
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