ArticleNature communications2019
Large-scale network analysis reveals the sequence space architecture of antibody repertoires.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
75 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Anchor Clustering for million-scale immune repertoire sequencing data.BMC bioinformatics · 2024Pooled it
- The Evolution of Artificial Intelligence in Antibody Design: From Structure-Based Engineering to Generative Models.Antibodies (Basel, Switzerland) · 2026Review
- Non-HLA Antibodies in Kidney Transplantation: Mediators of Allograft Injury or Markers of Dysregulated Humoral Immunity?Medical sciences (Basel, Switzerland) · 2026Review
- Profiling adaptive immunity: A quantitative framework for immune repertoire dynamics and clinical diagnostics.Fundamental research · 2026Article
- Medical software for precision diagnostics of infection with immunoprofiling and artificial intelligence.Journal of translational medicine · 2026Review
- Decoding adaptive immunity: advanced strategies in T and B cell repertoire analysis.Journal of translational medicine · 2026Review
- Clonally expanded HSP-specific T cells contribute to glaucomatous neurodegeneration via the mTORC1 pathway.Journal of neuroinflammation · 2026Article
- Antibody Polyreactivity: A Challenger of Immune Paradigms.Immunology · 2025Review
- Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025Article
- AnalyzAIRR: A user-friendly guided workflow for AIRR data analysis.Immunoinformatics (Amsterdam, Netherlands) · 2025Article
- Computational Analysis of T-Cell Receptor Repertoire Workflow: From T-Cell Isolation to Bioinformatics Analysis.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Article
- Machine learning for precision diagnostics of autoimmunity.Scientific reports · 2024Article
- Rapid affinity optimization of an anti-TREM2 clinical lead antibody by cross-lineage immune repertoire mining.Nature communications · 2024Article
- bcRflow: a Nextflow pipeline for characterizing B cell receptor repertoires from non-targeted transcriptomic data.NAR genomics and bioinformatics · 2024Article
- Computational detection of antigen-specific B cell receptors following immunization.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model.Nature communications · 2024Article
- B cells expressing mutated IGHV1-69-encoded antigen receptors related to virus neutralization show lymphoma-like transcriptomes in patients with chronic HCV infection.Hepatology communications · 2024Article
- Robust detection of infectious disease, autoimmunity, and cancer from the paratope networks of adaptive immune receptors.Briefings in bioinformatics · 2024Article
- Predictability of B cell clonal persistence and immunosurveillance in breast cancer.Nature immunology · 2024Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The architecture of mouse and human antibody repertoires is defined by the sequence similarity networks of the clones that compose them. The major principles that define the architecture of antibody repertoires have remained largely unknown. Here, we establish a high-performance computing platform to construct large-scale networks from comprehensive human and murine antibody repertoire sequencing datasets (>100,000 unique sequences). Leveraging a network-based statistical framework, we identify three fundamental principles of antibody repertoire architecture: reproducibility, robustness and redundancy. Antibody repertoire networks are highly reproducible across individuals despite high antibody sequence dissimilarity. The architecture of antibody repertoires is robust to the removal of up to 50-90% of randomly selected clones, but fragile to the removal of public clones shared among individuals. Finally, repertoire architecture is intrinsically redundant. Our analysis provides guidelines for the large-scale network analysis of immune repertoires and may be used in the future to define disease-associated and synthetic repertoires.
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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.