ArticleCommunications biology2019
Massively parallel single-cell B-cell receptor sequencing enables rapid discovery of diverse antigen-reactive antibodies.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.
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Who cites it
101 citing papers in PubMed, 175 citations in OpenAlex.
- Resolving cell-cell interaction networks and their molecular logic in complex tissues.Nature methods · 2026Article
- GATHeR: graph-based accurate tool for immunoglobulin heavy- and light-chain reconstruction.Nature communications · 2026Article
- MAAD: multidimensional antiviral antibody database.Protein & cell · 2026Article
- Medical software for precision diagnostics of infection with immunoprofiling and artificial intelligence.Journal of translational medicine · 2026Review
- Paraplume: A fast and accurate antibody paratope prediction method provides insights into repertoire-scale binding dynamics.PLoS computational biology · 2026Article
- Chimeric antigen receptor T‑cell therapy in chronic viral infections: a review.Journal of translational medicine · 2026Review
- Rapid immunization and antibody redesign platform discovers broadly neutralizing antibodies against non-immunized SARS-CoV-2 variant.Molecular therapy : the journal of the American Society of Gene Therapy · 2026Article
- Single-cell multi-omics reveals circulating B cell heterogeneity across diverse disease contexts.Frontiers in cell and developmental biology · 2026Article
- Innovative Single-Cell Sequencing Techniques for B cell Analysis and Their Implications for Rational HIV-1 Vaccine Design.Current HIV research · 2026Review
- Hematopoietic stem cell gene therapy for the treatment of X-linked agammaglobulinemia.Molecular therapy. Methods & clinical development · 2025Article
- Nebulization of an mRNA-encoded monoclonal antibody for passive immunization of foals against Rhodococcus equi.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment.Molecular cancer · 2025Review
- Cost-Effective Method for Full-Length Sequencing of Monoclonal Antibodies from Hybridoma Cells.Antibodies (Basel, Switzerland) · 2025Article
- A Pharmacophore-Based Method for Rapid and Accurate Virtual Screening of Antibody Libraries against Antigens.Molecular pharmaceutics · 2025Article
- AbEpiTope-1.0: Improved antibody target prediction by use of AlphaFold and inverse folding.Science advances · 2025Article
- Comprehensive analysis of immunoglobulin expression in the mouse brain from embryonic to adult stages.Journal of neuroinflammation · 2025Article
- Review
- High-throughput strategies for monoclonal antibody screening: advances and challenges.Journal of biological engineering · 2025Review
- Advances and applications in single-cell and spatial genomics.Science China. Life sciences · 2025Review
- Development of ferret immune repertoire reference resources and single-cell-based high-throughput profiling assays.Journal of virology · 2025Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obtaining full-length antibody heavy- and light-chain variable regions from individual B cells at scale remains a challenging problem. Here we use high-throughput single-cell B-cell receptor sequencing (scBCR-seq) to obtain accurately paired full-length variable regions in a massively parallel fashion. We sequenced more than 250,000 B cells from rat, mouse and human repertoires to characterize their lineages and expansion. In addition, we immunized rats with chicken ovalbumin and profiled antigen-reactive B cells from lymph nodes of immunized animals. The scBCR-seq data recovered 81% (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.