The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
High throughput sequencing reveals a complex pattern of dynamic interrelationships among human T cell subsets
Open accessAbstract
Developing T cells face a series of cell fate choices in the thymus and in the periphery. The role of the individual T cell receptor (TCR) in determining decisions of cell fate remains unresolved. The stochastic/selection model postulates that the initial fate of the cell is independent of TCR specificity, with survival dependent on additional TCR/coreceptor “rescue” signals. The “instructive” model holds that cell fate is initiated by the interaction of the TCR with a cognate peptide-MHC complex. T cells are then segregated on the basis of TCR specificity with the aid of critical coreceptors and signal modulators [Chan S, Correia-Neves M, Benoist C, Mathis (1998) Immunol Rev 165: 195–207]. The former would predict a random representation of individual TCR across divergent T cell lineages whereas the latter would predict minimal overlap between divergent T cell subsets. To address this issue, we have used high-throughput sequencing to evaluate the TCR distribution among key T cell developmental and effector subsets from a single donor. We found numerous examples of individual subsets sharing identical TCR sequence, supporting a model of a stochastic process of cell fate determination coupled with dynamic patterns of clonal expansion of T cells bearing the same TCR sequence among both CD4 + and CD8+ populations.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Harrington, L. E., Hatton, R. D., Mangan, P. R., Turner, H., Murphy, T. L., Murphy, K. M., & Weaver, C. T. (2005) · Nature Immunology · doi:10.1038/ni1254 · Cited by 4,742
A distinct lineage of CD4 T cells regulates tissue inflammation by producing interleukin 17
Park, H., Li, Z., Yang, X. O., Chang, S. H., Nurieva, R., Wang, Y.-H., Wang, Y., Hood, L., Zhu, Z., Tian, Q., et al. (2005) · Nature Immunology · doi:10.1038/ni1261 · Cited by 4,265
Plasticity of CD4+ T Cell Lineage Differentiation
Zhou, L., Chong, M. M. W., & Littman, D. R. (2009) · Immunity · doi:10.1016/j.immuni.2009.05.001 · Cited by 1,551
A Direct Estimate of the Human αβ T Cell Receptor Diversity
Arstila, T. P., Casrouge, A., Baron, V., Even, J., Kanellopoulos, J., & Kourilsky, P. (1999) · Science · doi:10.1126/science.286.5441.958 · Cited by 931
Callan, M. F. C., Tan, L., Annels, N., Ogg, G. S., Wilson, J. D. K., O'Callaghan, C. A., Steven, N., McMichael, A. J., & Rickinson, A. B. (1998) · The Journal of Experimental Medicine · doi:10.1084/jem.187.9.1395 · Cited by 892
Cited by
DNA methylation and epigenetic inheritance
Holliday, R. (1990) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1990.0015 · Cited by 2,279
The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight
Garrett-Bakelman, F. E., Darshi, M., Green, S. J., Gur, R. C., Lin, L., Macias, B. R., McKenna, M. J., Meydan, C., Mishra, T., Nasrini, J., et al. (2019) · Science · doi:10.1126/science.aau8650 · Cited by 1,128
Ott, P. A., Hu-Lieskovan, S., Chmielowski, B., Govindan, R., Naing, A., Bhardwaj, N., Margolin, K., Awad, M. M., Hellmann, M. D., Lin, J. J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.053 · Cited by 738
Using synthetic templates to design an unbiased multiplex PCR assay
Carlson, C. S., Emerson, R. O., Sherwood, A. M., Desmarais, C., Chung, M.-W., Parsons, J. M., Steen, M. S., LaMadrid-Herrmannsfeldt, M. A., Williamson, D. W., Livingston, R. J., et al. (2013) · Nature Communications · doi:10.1038/ncomms3680 · Cited by 565
Overlap and Effective Size of the Human CD8 + T Cell Receptor Repertoire
Robins, H. S., Srivastava, S. K., Campregher, P. V., Turtle, C. J., Andriesen, J., Riddell, S. R., Carlson, C. S., & Warren, E. H. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3001442 · Cited by 383
Metadata
- Authors
- Wang, C., Sanders, C. M., Yang, Q., Schroeder, H. W., Wang, E., Babrzadeh, F., Gharizadeh, B., Myers, R. M., Hudson, J. R., Davis, R. W., & Han, J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2010-01-04
- Volume
- 107
- Issue
- 4
- Pages
- 1518-1523
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2041390189
- Cited by
- 263
- References
- 5
- FWCI
- 7.96
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: High throughput sequencing reveals a complex pattern of dynamic interrelationships among human T cell subsets. https://app.cochat.ai/papers/10.1073/pnas.0913939107
- The paper
- Wang, C., Sanders, C. M., Yang, Q., Schroeder, H. W., Wang, E., Babrzadeh, F., Gharizadeh, B., Myers, R. M., Hudson, J. R., Davis, R. W., & Han, J. (2010). High throughput sequencing reveals a complex pattern of dynamic interrelationships among human T cell subsets. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0913939107
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
