The promise and challenge of high-throughput sequencing of the antibody repertoire
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Efforts to determine the antibody repertoire encoded by B cells in the blood or lymphoid organs using high-throughput DNA sequencing technologies have been advancing at an extremely rapid pace and are transforming our understanding of humoral immune responses. Information gained from high-throughput DNA sequencing of immunoglobulin genes (Ig-seq) can be applied to detect B-cell malignancies with high sensitivity, to discover antibodies specific for antigens of interest, to guide vaccine development and to understand autoimmunity. Rapid progress in the development of experimental protocols and informatics analysis tools is helping to reduce sequencing artifacts, to achieve more precise quantification of clonal diversity and to extract the most pertinent biological information. That said, broader application of Ig-seq, especially in clinical settings, will require the development of a standardized experimental design framework that will enable the sharing and meta-analysis of sequencing data generated by different laboratories.
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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 [212]
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“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].”
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- Authors
- Georgiou, G., Ippolito, G. C., Beausang, J., Busse, C. E., Wardemann, H., & Quake, S. R.
- Affiliations
- The University of Texas at Austin (US)
- Howard Hughes Medical Institute (US)
- Max Planck Institute for Infection Biology (DE)
- Corresponding author
- Georgiou, George
- Venue
- Nature Biotechnology
- Published
- 2014-01-19
- Volume
- 32
- Issue
- 2
- Pages
- 158-168
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC4113560
- OpenAlex
- W1993928780
- Cited by
- 652
- References
- 141
- Citations by year
- 2026: 24 · 2025: 34 · 2024: 50 · 2023: 26 · 2022: 39 · 2021: 49 · 2020: 52 · 2019: 56 · 2018: 74 · 2017: 83 · 2016: 78 · 2015: 54 · 2014: 33
- FWCI
- 12.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature Biotechnology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health
- National Institute of Allergy and Infectious Diseases (U54AI057156)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- antibody repertoire, B cells, humoral immune response, B-cell malignancies, antibody discovery, vaccine development, autoimmunity, sequencing artifacts
- MeSH terms
- Animals, Humans, Immunoglobulins, Immunologic Techniques, Models, Immunological, Biomedical Research, Mice, High-Throughput Nucleotide Sequencing
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