Cited by 1,122T-cell and B-cell ImmunologyMonoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Comprehensive assessment of T-cell receptor β-chain diversity in αβ T cells

Open access
Robins, Harlan S., Campregher, Paulo V., Srivastava, Santosh K., Wacher, Abigail, Turtle, Cameron J., Kahsai, Orsalem, Riddell, Stanley R., Warren, Edus H. +1 more·2009·Blood

Abstract

The adaptive immune system uses several strategies to generate a repertoire of T- and B-cell antigen receptors with sufficient diversity to recognize the universe of potential pathogens. In αβ T cells, which primarily recognize peptide antigens presented by major histocompatibility complex molecules, most of this receptor diversity is contained within the third complementarity-determining region (CDR3) of the T-cell receptor (TCR) α and β chains. Although it has been estimated that the adaptive immune system can generate up to 1016 distinct αβ pairs, direct assessment of TCR CDR3 diversity has not proved amenable to standard capillary electrophoresis-based DNA sequencing. We developed a novel experimental and computational approach to measure TCR CDR3 diversity based on single-molecule DNA sequencing, and used this approach to determine the CDR3 sequence in millions of rearranged TCRβ genes from T cells of 2 adults. We find that total TCRβ receptor diversity is at least 4-fold higher than previous estimates, and the diversity in the subset of CD45RO+ antigen-experienced αβ T cells is at least 10-fold higher than previous estimates. These methods should prove valuable for assessment of αβ T-cell repertoire diversity after hematopoietic cell transplantation, in states of congenital or acquired immunodeficiency, and during normal aging.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1182/blood-2009-04-217604

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Shendure J, Ji H. Next-generation DNA sequenc- ing. Nat Biotechnol. 2008;26(10):1135-1145.

Cited by

Sorted by citations

Authors
Robins, H. S., Campregher, P. V., Srivastava, S. K., Wacher, A., Turtle, C. J., Kahsai, O., Riddell, S. R., Warren, E. H., & Carlson, C. S.
Affiliations
  • Fred Hutch Cancer Center (US)
  • University of Washington (US)
Venue
Blood
Published
2009-11-05
Volume
114
Issue
19
Pages
4099-4107
ISSN
  • 0006-4971 (ISSN-L)
  • 1528-0020
OpenAlex
W2043071551
Cited by
1,122
References
31
Citations by year
2026: 38 · 2025: 61 · 2024: 52 · 2023: 68 · 2022: 86 · 2021: 99 · 2020: 96 · 2019: 90 · 2018: 84 · 2017: 95 · 2016: 88 · 2015: 75 · 2014: 60 · 2013: 58 · 2012: 41
FWCI
9.90
Type
journal article
Language
en
Open access
Locations
  • Blood (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Durham Research Online (Durham University) (acceptedVersion)
  • Durham Research Online (Durham University) (submittedVersion)
  • Durham Research Online (Durham University) (submittedVersion, cc-by)
Funders
  • National Institutes of Health (CA015704, CA 18029, DK056465)
  • National Cancer Institute (R01CA106512, CA18029, CA015704, CA106512, P30CA015704, P01CA018029)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK056465, DK056465)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
Keywords
T cell receptor beta chain, CDR3 diversity, T cell receptor repertoire, alpha beta T cells, single-molecule DNA sequencing, TCR beta gene rearrangement, antigen-experienced T cells, CD45RO, hematopoietic stem cell transplantation, immunodeficiency, immunosenescence
MeSH terms
Adult, Base Sequence, DNA, Humans, Male, Molecular Sequence Data, Sequence Homology, Nucleic Acid, Genetic Variation, Gene Rearrangement, beta-Chain T-Cell Antigen Receptor, Polymerase Chain Reaction, T-Lymphocyte Subsets, Receptors, Antigen, T-Cell, alpha-beta, Leukocyte Common Antigens, Genes, T-Cell Receptor beta, Complementarity Determining Regions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review