Literature DB >> 22156841

Probing the T-cell receptor repertoire with deep sequencing.

Isabelle Miconnet1.   

Abstract

PURPOSE OF REVIEW: To review major findings on the T-cell receptor (TCR) repertoire diversity in response to several viral infections based on conventional methods of PCR, cloning and sequencing and to discuss their limitations in light of the recent methodological advances in deep sequencing. RECENT
FINDINGS: Direct sequencing of TCR expressed by Ag-specific T cells isolated ex vivo has revealed that the TCR repertoire is not as restricted as previously estimated. Furthermore, analyses performed independently of the T-cell clonal hierarchy have brought to light an unexpected diversity. The choice of methods is critical to characterize the complexity of the repertoire. Recent advances in deep sequencing have uncovered the diversity of the TCR repertoire and shown that the size of the repertoire in naive and Ag-experienced memory T cells is three-fold to 15-fold larger than formerly estimated. Interestingly, the TCR complementary determining region 3 sequences are not randomly selected and a certain degree of shared TCR repertoire has been observed between different individuals.
SUMMARY: Deep sequencing is a major methodological advance allowing more accurate molecular characterization of the TCR repertoire. In the near future, such technologies will further contribute to delineate the complexity of pathogen-specific T-cell response and help defining correlates of a protective immunity.

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Year:  2012        PMID: 22156841     DOI: 10.1097/COH.0b013e32834ddcae

Source DB:  PubMed          Journal:  Curr Opin HIV AIDS        ISSN: 1746-630X            Impact factor:   4.283


  10 in total

1.  Long Single-Molecule Reads Can Resolve the Complexity of the Influenza Virus Composed of Rare, Closely Related Mutant Variants.

Authors:  Alexander Artyomenko; Nicholas C Wu; Serghei Mangul; Eleazar Eskin; Ren Sun; Alex Zelikovsky
Journal:  J Comput Biol       Date:  2016-11-30       Impact factor: 1.479

2.  A flexible docking approach for prediction of T cell receptor-peptide-MHC complexes.

Authors:  Brian G Pierce; Zhiping Weng
Journal:  Protein Sci       Date:  2013-01       Impact factor: 6.725

Review 3.  Human memory T cells: generation, compartmentalization and homeostasis.

Authors:  Donna L Farber; Naomi A Yudanin; Nicholas P Restifo
Journal:  Nat Rev Immunol       Date:  2013-12-13       Impact factor: 53.106

4.  Structural Basis for Clonal Diversity of the Public T Cell Response to a Dominant Human Cytomegalovirus Epitope.

Authors:  Xinbo Yang; Mingming Gao; Guobing Chen; Brian G Pierce; Jinghua Lu; Nan-Ping Weng; Roy A Mariuzza
Journal:  J Biol Chem       Date:  2015-10-01       Impact factor: 5.157

5.  Structural basis for clonal diversity of the human T-cell response to a dominant influenza virus epitope.

Authors:  Xinbo Yang; Guobing Chen; Nan-Ping Weng; Roy A Mariuzza
Journal:  J Biol Chem       Date:  2017-09-20       Impact factor: 5.157

Review 6.  Single-Cell Sequencing of T cell Receptors: A Perspective on the Technological Development and Translational Application.

Authors:  Shivai Gupta; Richard Witas; Alexandria Voigt; Touyana Semenova; Cuong Q Nguyen
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

Review 7.  Sequence analysis of T-cell repertoires in health and disease.

Authors:  Daniel J Woodsworth; Mauro Castellarin; Robert A Holt
Journal:  Genome Med       Date:  2013-10-30       Impact factor: 11.117

8.  Next generation sequencing reveals changes of the γδ T cell receptor repertoires in patients with pulmonary tuberculosis.

Authors:  Chaofei Cheng; Bei Wang; Lei Gao; Jianmin Liu; Xinchun Chen; He Huang; Zhendong Zhao
Journal:  Sci Rep       Date:  2018-03-02       Impact factor: 4.379

Review 9.  Next generation deep sequencing and vaccine design: today and tomorrow.

Authors:  Fabio Luciani; Rowena A Bull; Andrew R Lloyd
Journal:  Trends Biotechnol       Date:  2012-06-20       Impact factor: 19.536

Review 10.  Single-cell technologies to study the immune system.

Authors:  Valentina Proserpio; Bidesh Mahata
Journal:  Immunology       Date:  2015-12-27       Impact factor: 7.397

  10 in total

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