Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data
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The field currently benefits from a steady stream of new data from NGS of B-cell Receptors and increasing resources for downloading such data.
“In this respect, the field currently benefits from a steady stream of new data from NGS of B-cell Receptors (BCRs, to be used as proxy for antibodies) [212, 213] and there is an increasing number of resources available for downloading such data [17], which are being used to analyze therapeutic antibodies [13].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [213]
The AIRR community aims to standardize the increasing amount of antibody NGS depositions and their metadata.
“Such efforts are exemplified by AIRR community, which aims to standardize the increasing amount of antibody NGS depositions and their metadata [213], and from a broader perspective by the adoption of scientific data management principles such as FAIR [238].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [213]
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- [19]Brazma A Scientific World Journal 9 420 423 2009
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“Such efforts are exemplified by AIRR community, which aims to standardize the increasing amount of antibody NGS depositions and their metadata [213], and from a broader perspective by the adoption of scientific data management principles such as FAIR [238].”
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Self-citationLooking for therapeutic antibodies in next generation sequencing repositories
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- Authors
- Community, 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., Hershberg, U., Laserson, U., Corrie, B. D., Davis, M. M., Peters, B., Lefranc, M.-P., Scott, J. K., Breden, F., Luning Prak, E. T., & Kleinstein, S. H.
- Affiliations
- Stanford Medicine (US)
- German Cancer Research Center (DE)
- Yale University (US)
- Inserm (FR)
- University of Louisville (US)
- Duke University (US)
- Drexel University (US)
- Simon Fraser University (CA)
- Howard Hughes Medical Institute (US)
- La Jolla Institute for Immunology (US)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Kleinstein, Steven H
- ORCID
- Venue
- Nature Immunology
- Published
- 2017-11-16
- Volume
- 18
- Issue
- 12
- Pages
- 1274-1278
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- PMC
- PMC5790180
- OpenAlex
- W2768618120
- Cited by
- 178
- References
- 25
- Citations by year
- 2026: 12 · 2025: 11 · 2024: 26 · 2023: 11 · 2022: 27 · 2021: 26 · 2020: 18 · 2019: 25 · 2018: 21 · 2017: 1
- FWCI
- 8.54
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-11-LABX-0069)
- National Institute of Allergy and Infectious Diseases (R01AI097403, R01AI104739, R37AI022511, U19AI057229)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- adaptive immune receptor repertoire, B cell receptor sequencing, T cell receptor sequencing, data sharing, reporting guidelines, high-throughput sequencing data, adaptive immunity
- MeSH terms
- Animals, Humans, Receptors, Immunologic, Research Design, Information Dissemination, Datasets as Topic
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