The promise and challenge of high-throughput sequencing of the antibody repertoire

Antibody therapy of cancer

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Predominant Autoantibody Production by Early Human B Cell Precursors

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Germinal Centers

Victora, G. D., & Nussenzweig, M. C. (2012) · Annual Review of Immunology · doi:10.1146/annurev-immunol-020711-075032 · Cited by 1,878

Broad and Potent Neutralizing Antibodies from an African Donor Reveal a New HIV-1 Vaccine Target

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Prevalence of monoclonal gammopathy of undetermined significance

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Performance comparison of benchtop high-throughput sequencing platforms

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A Neutralizing Antibody Selected from Plasma Cells That Binds to Group 1 and Group 2 Influenza A Hemagglutinins

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Human Immunoglobulin (Ig)M+IgD+ Peripheral Blood B Cells Expressing the CD27 Cell Surface Antigen Carry Somatically Mutated Variable Region Genes: CD27 as a General Marker for Somatically Mutated (Memory) B Cells

Klein, U., Rajewsky, K., & Küppers, R. (1998) · The Journal of Experimental Medicine · doi:10.1084/jem.188.9.1679 · Cited by 1,161

Detection and quantification of rare mutations with massively parallel sequencing

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Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing

Mandric, I., Rotman, J., Yang, H. T., Strauli, N. B., Montoya, D. J., Wey, W. V. D., Ronas, J. R., Statz, B., Yao, D. W., Petrova, V. N., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16857-7 · Cited by 72

Clonal structure, stability and dynamics of human memory B cells and circulating plasmablasts

Phad, G. E., Pinto, D., Foglierini, M., Akhmedov, M., Rossi, R. L., Malvicini, E., Cassotta, A., Fregni, C. S., Bruno, L., Sallusto, F., et al. (2022) · Nature Immunology · doi:10.1038/s41590-022-01230-1 · Cited by 76

Comparative Analysis of the CDR Loops of Antigen Receptors

Wong, W. K., Leem, J., & Deane, C. M. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02454 · Cited by 80

Computational tools for epitope vaccine design and evaluation

He, L., & Zhu, J. (2015) · Current Opinion in Virology · doi:10.1016/j.coviro.2015.03.013 · Cited by 75

Serology in the 21st century: the molecular-level analysis of the serum antibody repertoire

Wine, Y., Horton, A. P., Ippolito, G. C., & Georgiou, G. (2015) · Current Opinion in Immunology · doi:10.1016/j.coi.2015.06.009 · Cited by 74

Strategies for Development of a Next-Generation Protein Sequencing Platform

Callahan, N., Tullman, J. A., Kelman, Z., & Marino, J. P. (2019) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2019.09.005 · Cited by 73

Structural and genetic diversity in antibody repertoires from diverse species

Rios, M. D. L., Criscitiello, M. F., & Smider, V. V. (2015) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2015.06.002 · Cited by 75

Fast multiclonal clusterization of V(D)J recombinations from high-throughput sequencing

Giraud, M., Salson, M., Duez, M., Villenet, C., Quief, S., Caillault, A., Grardel, N., Roumier, C., Preudhomme, C., & Figeac, M. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-409 · Cited by 71

Molecular and genetic inflammation networks in major human diseases

Zhao, Y., Forst, C. V., Sayegh, C. E., Wang, I., Yang, X., & Zhang, B. (2016) · Molecular BioSystems · doi:10.1039/c6mb00240d · Cited by 72

Bacterial Vaccine Antigen Discovery in the Reverse Vaccinology 2.0 Era: Progress and Challenges

Bidmos, F. A., Siris, S., Gladstone, C. A., & Langford, P. R. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02315 · Cited by 72

Mass Spectrometry-Based De Novo Sequencing of Monoclonal Antibodies Using Multiple Proteases and a Dual Fragmentation Scheme

Peng, W., Pronker, M. F., & Snijder, J. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00169 · Cited by 68

SONAR: A High-Throughput Pipeline for Inferring Antibody Ontogenies from Longitudinal Sequencing of B Cell Transcripts

Schramm, C. A., Sheng, Z., Zhang, Z., Mascola, J. R., Kwong, P. D., & Shapiro, L. S. (2016) · Frontiers in Immunology · doi:10.3389/fimmu.2016.00372 · Cited by 65

Transplant genetics and genomics

Yang, J., & Sarwal, M. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.12 · Cited by 68

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 69

Two Mutually Exclusive Local Chromatin States Drive Efficient V(D)J Recombination

Bolland, D. J., Koohy, H., Wood, A. L., Matheson, L. S., Krueger, F., Stubbington, M. J. T., Baizan-Edge, A., Chovanec, P., Stubbs, B. A., Tabbada, K. A., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.05.020 · Cited by 67

Isotopic graphene–isolated-Au-nanocrystals with cellular Raman-silent signals for cancer cell pattern recognition

Zou, Y., Huang, S., Liao, Y., Zhu, X., Chen, Y., Chen, L., Liu, F., Hu, X., Tu, H., Zhang, L., et al. (2018) · Chemical Science · doi:10.1039/c7sc05442d · Cited by 67

Highly sensitive and unbiased approach for elucidating antibody repertoires

Lin, S. G., Ba, Z., Du, Z., Zhang, Y., Hu, J., & Alt, F. W. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608649113 · Cited by 62

BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data

Upadhyay, A. A., Kauffman, R. C., Wolabaugh, A. N., Cho, A., Patel, N. B., Reiss, S. M., Havenar‐Daughton, C., Dawoud, R. A., Tharp, G. K., Sanz, I., et al. (2018) · Genome Medicine · doi:10.1186/s13073-018-0528-3 · Cited by 66

Quantitative immunology for physicists

Altan-Bonnet, G. Y., Mora, T., & Walczak, A. M. (2020) · Physics Reports · doi:10.1016/j.physrep.2020.01.001 · Cited by 67

High-Throughput Immunogenetics for Clinical and Research Applications in Immunohematology: Potential and Challenges

Langerak, A. W., Brüggemann, M., Davi, F., Darzentas, N., van Dongen, J. J. M., de Castro, D. G., Cazzaniga, G., Giudicelli, V., Lefranc, M., Giraud, M., et al. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1602050 · Cited by 64

Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice

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

No more monkeying around: primate malaria model systems are key to understanding Plasmodium vivax liver-stage biology, hypnozoites, and relapses

Joyner, C. J., Barnwell, J. W., & Galinski, M. R. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00145 · Cited by 67

Antibody-guided vaccine design: identification of protective epitopes

Lanzavecchia, A., Frühwirth, A., Perez, L. H., & Corti, D. (2016) · Current Opinion in Immunology · doi:10.1016/j.coi.2016.06.001 · Cited by 61

Inferred Allelic Variants of Immunoglobulin Receptor Genes: A System for Their Evaluation, Documentation, and Naming

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

Promise and problems associated with the use of recombinant AAV for the delivery of anti-HIV antibodies

Fuchs, S. P., & Desrosiers, R. C. (2016) · Molecular Therapy — Methods & Clinical Development · doi:10.1038/mtm.2016.68 · Cited by 61

Autoantigenomics: Holistic characterization of autoantigen repertoires for a better understanding of autoimmune diseases

Moritz, C. P., Paul, S., Stoevesandt, O., Tholance, Y., Camdessanché, J., & Antoine, J.-C. G. (2019) · Autoimmunity Reviews · doi:10.1016/j.autrev.2019.102450 · Cited by 62

Antibody H3 structure prediction

Marks, C., & Deane, C. M. (2017) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2017.01.010 · Cited by 56

Protein Crystallography in Vaccine Research and Development

Malito, E., Carfı́, A., & Bottomley, M. J. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms160613106 · Cited by 60

T cells translate individual, quantal activation into collective, analog cytokine responses via time-integrated feedbacks

Tkach, K. E., Barik, D., Voisinne, G., Malandro, N., Hathorn, M. M., Cotari, J. W., VOGEL, R. M., Merghoub, T., Wolchok, J. D., Krichevsky, O., et al. (2014) · eLife · doi:10.7554/elife.01944 · Cited by 61

De Novo MS/MS Sequencing of Native Human Antibodies

Guthals, A., Gan, Y., Murray‐Nerger, L. A., Chen, Y., Stinson, J., Nakamura, G. R., Lill, J. R., Sandoval, W. N., & Bandeira, N. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00608 · Cited by 59

Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires

Brown, 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

Clonify: unseeded antibody lineage assignment from next-generation sequencing data

Briney, B. S., Le, K. M., Zhu, J., & Burton, D. R. (2016) · Scientific Reports · doi:10.1038/srep23901 · Cited by 59

Trends in therapeutic antibody affinity maturation: From in-vitro towards next-generation sequencing approaches

Tabasinezhad, M., Talebkhan, Y., Wenzel, W., Rahimi, H., Omidinia, E., & Mahboudi, F. (2019) · Immunology Letters · doi:10.1016/j.imlet.2019.06.009 · Cited by 59

OGRDB: a reference database of inferred immune receptor genes

Lees, W., Busse, C. E., Corcoran, M., Ohlin, M., Scheepers, C., Matsen, F. A., IV, Yaari, G., Watson, C. T., Community, T. A., Collins, A. M., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz822 · Cited by 58

Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction

Li, T., Li, Y., Zhu, X., He, Y., Wu, Y., Ying, T., & Xie, Z. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.02.007 · Cited by 60

VDJbase: an adaptive immune receptor genotype and haplotype database

Omer, A., Shemesh, O., Peres, A., Polak, P., Shepherd, A. J., Watson, C. T., Boyd, S. D., Collins, A. M., Lees, W., & Yaari, G. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz872 · Cited by 57

Dynamics of the human antibody repertoire after B cell depletion in systemic sclerosis

de Bourcy, C. F. A., Dekker, C. L., Davis, M. M., Nicolls, M. R., & Quake, S. R. (2017) · Science Immunology · doi:10.1126/sciimmunol.aan8289 · Cited by 57

Length-independent structural similarities enrich the antibody CDR canonical class model

Nowak, J., BAKER, T. S., Georges, G. J., Kelm, S., Klostermann, S., Shi, J., Sridharan, S., & Deane, C. M. (2016) · mAbs · doi:10.1080/19420862.2016.1158370 · Cited by 59

Human IgG2‐ and IgG4‐expressing memory B cells display enhanced molecular and phenotypic signs of maturity and accumulate with age

de Jong, B. G., IJspeert, H., Marques, L., van der Burg, M., van Dongen, J. J. M., Loos, B. G., & van Zelm, M. C. (2017) · Immunology and Cell Biology · doi:10.1038/icb.2017.43 · Cited by 54

Influence of seasonal exposure to grass pollen on local and peripheral blood IgE repertoires in patients with allergic rhinitis

Wu, Y.-C. B., James, L. K., Heiden, J. A. V., Uduman, M., Durham, S. R., Kleinstein, S. H., Kipling, D., & Gould, H. J. (2014) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2014.07.010 · Cited by 53

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

Dynamics of B cell repertoires and emergence of cross-reactive responses in patients with different severities of COVID-19

Montague, Z., Lv, H., Otwinowski, J., DeWitt, W. S., Isacchini, G., Yip, G. K., Ng, W. W., Tsang, O. T.-Y., Yuan, M., Liu, H., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109173 · Cited by 52

Genetic Resistance to Malaria Is Associated With Greater Enhancement of Immunoglobulin (Ig)M Than IgG Responses to a Broad Array of Plasmodium falciparum Antigens

Arama, C., Skinner, J., Doumtabé, D., Portugal, S., Tran, T. M., Jain, A., Traoré, B., Doumbo, O. K., Davies, D. H., Troye‐Blomberg, M., et al. (2015) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofv118 · Cited by 51

Lower IgG somatic hypermutation rates during acute dengue virus infection is compatible with a germinal center-independent B cell response

Godoy-Lozano, E. E., Téllez‐Sosa, J., Sánchez‐González, G., Sámano‐Sánchez, H., Aguilar-Salgado, A., Salinas‐Rodríguez, A., Cortina-Ceballos, B., Vivanco-Cid, H., Hernández-Flores, K. G., Pfaff, J. M., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0276-1 · Cited by 51

Biologics to treat substance use disorders: Current status and new directions

Pravetoni, M. (2016) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2016.1212785 · Cited by 52

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

Next-generation sequencing-guided identification and reconstruction of antibody CDR combinations from phage selection outputs

Barreto, K., Maruthachalam, B. V., Hill, W., Hogan, D., Sutherland, A. R., KUSALIK, A. J., Fonge, H., DeCoteau, J. F., & Geyer, C. R. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz131 · Cited by 51

T cell receptor beta germline variability is revealed by inference from repertoire data

Omer, A., Peres, A., Rodriguez, O. L., Watson, C. T., Lees, W., Polak, P., Collins, A. M., & Yaari, G. (2022) · Genome Medicine · doi:10.1186/s13073-021-01008-4 · Cited by 50

Immune repertoire: A potential biomarker and therapeutic for hepatocellular carcinoma

Han, Y., Li, H., Guan, Y., & Huang, J. (2015) · Cancer Letters · doi:10.1016/j.canlet.2015.06.022 · Cited by 51

Quantifying lymphocyte receptor diversityPreprint

Mora, T., & Walczak, A. M. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/046870 · Cited by 60

Immunogenomic engineering of a plug-and-(dis)play hybridoma platform

Pogson, M., Parola, C., Kelton, W., Heuberger, P., & Reddy, S. T. (2016) · Nature Communications · doi:10.1038/ncomms12535 · Cited by 49

Single-cell PCR of genomic DNA enabled by automated single-cell printing for cell isolation

Stumpf, F., Schoendube, J., Gross, A., Rath, C., Niekrawietz, S., Koltay, P., & Roth, G. D. (2015) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.03.008 · Cited by 49

Comparison of methods for phylogenetic B-cell lineage inference using time-resolved antibody repertoire simulations (AbSim)

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

Massively Parallel Sequencing of Peritoneal and Splenic B Cell Repertoires Highlights Unique Properties of B-1 Cell Antibodies

Prohaska, T. A., Que, X., Diehl, C. J., Hendrikx, S., Chang, M. W., Jepsen, K., Glass, C. K., Benner, C. W., & Witztum, J. L. (2018) · The Journal of Immunology · doi:10.4049/jimmunol.1700568 · Cited by 49

Cutting 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

Discovery of highly soluble antibodies prior to purification using affinity-capture self-interaction nanoparticle spectroscopy

Wu, J., Schultz, J. S., Weldon, C. L., Sule, S. V., Chai, Q., Geng, S. B., Dickinson, C. D., & Tessier, P. M. (2015) · Protein Engineering Design and Selection · doi:10.1093/protein/gzv045 · Cited by 48

The road to a more effective influenza vaccine: Up to date studies and future prospects

Sano, K., Ainai, A., Suzuki, T., & Hasegawa, H. (2017) · Vaccine · doi:10.1016/j.vaccine.2017.08.034 · Cited by 49

How 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 49

Characterizing pre-transplant and post-transplant kidney rejection risk by B cell immune repertoire sequencing

Pineda, S., Sigdel, T. K., Liberto, J. M., Vincenti, F. G., Sirota, M., & Sarwal, M. (2019) · Nature Communications · doi:10.1038/s41467-019-09930-3 · Cited by 48

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 48

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

Comprehensive Evaluation and Optimization of Amplicon Library Preparation Methods for High-Throughput Antibody Sequencing

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 51

Single-cell analysis: Advances and future perspectives

Hodzic, E. (2016) · Bosnian Journal of Basic Medical Sciences · doi:10.17305/bjbms.2016.1371 · Cited by 51

The Pipeline Repertoire for Ig-Seq Analysis

López-Santibáñez-Jácome, L., Avendaño-Vázquez, S. E., & Flores-Jasso, C. F. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00899 · Cited by 46

Characterization of the naive murine antibody repertoire using unamplified high-throughput sequencing

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 44

Germinal center responses to complex antigens

Finney, J., Yeh, C., Kelsoe, G. H., & Kuraoka, M. (2018) · Immunological Reviews · doi:10.1111/imr.12661 · Cited by 46

LL2 Fab in complex with anti-Kappa VHH domain

Sicard, T., Ereño‐Orbea, J., & Julien, J. (2017) · Worldwide Protein Data Bank · doi:10.2210/pdb6ana/pdb · Cited by 46

Quantifying evolutionary constraints on B-cell affinity maturation

McCoy, C. O., Bedford, T., Minin, V. N., Bradley, P. H., Robins, H. S., & Matsen, F. A., IV (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0244 · Cited by 47

Accurate Structure Prediction of CDR H3 Loops Enabled by a Novel Structure-Based C-Terminal Constraint

Weitzner, B. D., & Gray, J. J. (2016) · The Journal of Immunology · doi:10.4049/jimmunol.1601137 · Cited by 45

Cognizance of Molecular Methods for the Generation of Mutagenic Phage Display Antibody Libraries for Affinity Maturation

Lim, C. C., Choong, Y. S., & Lim, T. S. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20081861 · Cited by 44

Antibody-guided structure-based vaccines

Kwong, P. D., DeKosky, B. J., & Ulmer, J. B. (2020) · Seminars in Immunology · doi:10.1016/j.smim.2020.101428 · Cited by 43

Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes

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 44

IgRepertoireConstructor: a novel algorithm for antibody repertoire construction and immunoproteogenomics analysis

Safonova, Y., Bonissone, S. R., Kurpilyansky, E., Starostina, E. V., Lapidus, A. L., Stinson, J., DePalatis, L., Sandoval, W. N., Lill, J. R., & Pevzner, P. A. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv238 · Cited by 45

Accurate immune repertoire sequencing reveals malaria infection driven antibody lineage diversification in young children

Wendel, B. S., He, C., Qu, M., Wu, D., Hernandez, S. M., Ma, K.-Y., Liu, E. W., Xiao, J. Y., Crompton, P. D., Pierce, S. K., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00645-x · Cited by 44

A Protein Epitope Targeted by the Antibody Response to Kawasaki Disease

Rowley, A. H., Baker, S. C., Arrollo, D., Gruen, L. J., Bodnar, T., Innocentini, N., Hackbart, M., Cruz-Pulido, Y. E., Wylie, K. M., Kim, K. A., et al. (2020) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiaa066 · Cited by 44

A perspective toward mass spectrometry-based de novo sequencing of endogenous antibodies

de Graaf, S. C., Hoek, M., Tamara, S., & Heck, A. J. R. (2022) · mAbs · doi:10.1080/19420862.2022.2079449 · Cited by 45

Structurally mapping antibody repertoires

Krawczyk, K., Kelm, S., Kovaltsuk, A., Galson, J. D., Kelly, D., Trück, J., Regep, C., Leem, J., Wong, W. K., Nowak, J., et al. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01698 · Cited by 42

Template-Based Assembly of Proteomic Short Reads For De Novo Antibody Sequencing and Repertoire Profiling

Schulte, D., Peng, W., & Snijder, J. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c01300 · Cited by 43

Analysis of Celiac Disease Autoreactive Gut Plasma Cells and Their Corresponding Memory Compartment in Peripheral Blood Using High-Throughput Sequencing

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

Computational Evaluation of B-Cell Clone Sizes in Bulk Populations

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Exposure to the Epstein–Barr Viral Antigen Latent Membrane Protein 1 Induces Myelin-Reactive Antibodies In Vivo

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