Literature DB >> 20080641

High throughput sequencing reveals a complex pattern of dynamic interrelationships among human T cell subsets.

Chunlin Wang1, Catherine M Sanders, Qunying Yang, Harry W Schroeder, Elijah Wang, Farbod Babrzadeh, Baback Gharizadeh, Richard M Myers, James R Hudson, Ronald W Davis, Jian Han.   

Abstract

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.

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Year:  2010        PMID: 20080641      PMCID: PMC2824416          DOI: 10.1073/pnas.0913939107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  41 in total

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Review 2.  Functional diversity of helper T lymphocytes.

Authors:  A K Abbas; K M Murphy; A Sher
Journal:  Nature       Date:  1996-10-31       Impact factor: 49.962

3.  Sequence of the human immunoglobulin diversity (D) segment locus: a systematic analysis provides no evidence for the use of DIR segments, inverted D segments, "minor" D segments or D-D recombination.

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Journal:  J Mol Biol       Date:  1997-07-25       Impact factor: 5.469

4.  Influence of the major histocompatibility complex on positive thymic selection of V beta 17a+ T cells.

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Journal:  Science       Date:  1989-04-14       Impact factor: 47.728

5.  Oligoclonal CD4+ CD57+ T-cell expansions contribute to the imbalanced T-cell receptor repertoire of rheumatoid arthritis patients.

Authors:  L Imberti; A Sottini; S Signorini; R Gorla; D Primi
Journal:  Blood       Date:  1997-04-15       Impact factor: 22.113

6.  Clonal predominance of T cell receptors within the CD8+ CD45RO+ subset in normal human subjects.

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Journal:  J Immunol       Date:  1993-11-15       Impact factor: 5.422

7.  Do HLA genes play a prominent role in determining T cell receptor V alpha segment usage in humans?

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Journal:  J Immunol       Date:  1995-04-15       Impact factor: 5.422

8.  Oligoclonality in the human CD8+ T cell repertoire in normal subjects and monozygotic twins: implications for studies of infectious and autoimmune diseases.

Authors:  J Monteiro; R Hingorani; I H Choi; J Silver; R Pergolizzi; P K Gregersen
Journal:  Mol Med       Date:  1995-09       Impact factor: 6.354

9.  Oligoclonal CD8+ T cells are preferentially expanded in the CD57+ subset.

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Journal:  J Immunol       Date:  1995-06-01       Impact factor: 5.422

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Journal:  J Exp Med       Date:  1998-05-04       Impact factor: 14.307

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  138 in total

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Review 2.  Rep-Seq: uncovering the immunological repertoire through next-generation sequencing.

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Journal:  Immunology       Date:  2012-03       Impact factor: 7.397

3.  Highly diverse TCRα chain repertoire of pre-immune CD8⁺ T cells reveals new insights in gene recombination.

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Journal:  EMBO J       Date:  2012-02-28       Impact factor: 11.598

4.  Equal opportunity for all.

Authors:  Julie Chaumeil; Jane A Skok
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Review 5.  New tools for classification and monitoring of autoimmune diseases.

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6.  TCRβ repertoire of CD4+ and CD8+ T cells is distinct in richness, distribution, and CDR3 amino acid composition.

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Journal:  J Leukoc Biol       Date:  2015-09-22       Impact factor: 4.962

7.  IMonitor: A Robust Pipeline for TCR and BCR Repertoire Analysis.

Authors:  Wei Zhang; Yuanping Du; Zheng Su; Changxi Wang; Xiaojing Zeng; Ruifang Zhang; Xueyu Hong; Chao Nie; Jinghua Wu; Hongzhi Cao; Xun Xu; Xiao Liu
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8.  TCR bias and affinity define two compartments of the CD1b-glycolipid-specific T Cell repertoire.

Authors:  Ildiko Van Rhijn; Nicholas A Gherardin; Anne Kasmar; Wilco de Jager; Daniel G Pellicci; Lyudmila Kostenko; Li Lynn Tan; Mugdha Bhati; Stephanie Gras; Dale I Godfrey; Jamie Rossjohn; D Branch Moody
Journal:  J Immunol       Date:  2014-03-28       Impact factor: 5.422

Review 9.  Modeling the T cell immune response: a fascinating challenge.

Authors:  Penelope A Morel; James R Faeder; William F Hawse; Natasa Miskov-Zivanov
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10.  Regression of metastatic Merkel cell carcinoma following transfer of polyomavirus-specific T cells and therapies capable of re-inducing HLA class-I.

Authors:  Aude G Chapuis; Olga K Afanasiev; Jayasri G Iyer; Kelly G Paulson; Upendra Parvathaneni; Joo Ha Hwang; Ivy Lai; Ilana M Roberts; Heather L Sloan; Shailender Bhatia; Kendall C Shibuya; Ted Gooley; Cindy Desmarais; David M Koelle; Cassian Yee; Paul Nghiem
Journal:  Cancer Immunol Res       Date:  2014-01       Impact factor: 11.151

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