Literature DB >> 20621124

Human T-cell memory consists mainly of unexpanded clones.

Paul L Klarenbeek1, Paul P Tak, Barbera D C van Schaik, Aeilko H Zwinderman, Marja E Jakobs, Zhuoli Zhang, Antoine H C van Kampen, René A W van Lier, Frank Baas, Niek de Vries.   

Abstract

The immune system is able to respond to millions of antigens using adaptive receptors, including the alphabeta-T-cell receptor (TCR). Upon antigen encounter a T-cell may proliferate to produce a clone of TCR-identical cells, which develop a memory phenotype. Previous studies suggested that most memory clones are clearly expanded. In accordance, the beta-chain repertoire of T-cell memory subsets was reported to be 10 times less diverse than those of naive subsets, reflecting stringent selection. However, due to technological limitations detailed information was lacking regarding the size of clonal expansions and the diversity of the TCR-repertoire in naive and memory T-cell populations. Here, using high-throughput sequencing, we show that the memory repertoire in human peripheral blood contains only few expanded clones and consists mainly of low frequency clones. Additionally, the memory repertoire is much more diverse than expected. In two healthy persons we observed that only 2-7% of the CD4 and CD8 memory clones found were clearly expanded. In line with this observation we show that the beta-chains repertoire size of the CD4 memory compartment is only two times smaller, and that of the CD8 memory compartment is only 3-10 times smaller than the naive compartments. Our results show that the T-cell memory compartment has a very different distribution of clones than anticipated. This has important implications for the current dogma of immunological memory, and changes the interpretation of repertoire aberrations in (patho-)physiological situations such as ageing and auto-immunity. It raises new questions on the factors that steer maturation of memory phenotype and determine the size of memory clones. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20621124     DOI: 10.1016/j.imlet.2010.06.011

Source DB:  PubMed          Journal:  Immunol Lett        ISSN: 0165-2478            Impact factor:   3.685


  49 in total

1.  Blood T-cell receptor diversity decreases during the course of HIV infection, but the potential for a diverse repertoire persists.

Authors:  Paul D Baum; Jennifer J Young; Diane Schmidt; Qianjun Zhang; Rebecca Hoh; Michael Busch; Jeffrey Martin; Steven Deeks; Joseph M McCune
Journal:  Blood       Date:  2012-02-27       Impact factor: 22.113

Review 2.  Current status and recent advances of next generation sequencing techniques in immunological repertoire.

Authors:  X-L Hou; L Wang; Y-L Ding; Q Xie; H-Y Diao
Journal:  Genes Immun       Date:  2016-03-10       Impact factor: 2.676

3.  CD4+ virtual memory: Antigen-inexperienced T cells reside in the naïve, regulatory, and memory T cell compartments at similar frequencies, implications for autoimmunity.

Authors:  Alina I Marusina; Yoko Ono; Alexander A Merleev; Michiko Shimoda; Hiromi Ogawa; Elizabeth A Wang; Kayo Kondo; Laura Olney; Guillaume Luxardi; Yoshinori Miyamura; Tilahun D Yilma; Itzel Bustos Villalobos; Jennifer W Bergstrom; Daniel G Kronenberg; Athena M Soulika; Iannis E Adamopoulos; Emanual Maverakis
Journal:  J Autoimmun       Date:  2016-11-25       Impact factor: 7.094

4.  Exhaustive T-cell repertoire sequencing of human peripheral blood samples reveals signatures of antigen selection and a directly measured repertoire size of at least 1 million clonotypes.

Authors:  René L Warren; J Douglas Freeman; Thomas Zeng; Gina Choe; Sarah Munro; Richard Moore; John R Webb; Robert A Holt
Journal:  Genome Res       Date:  2011-02-24       Impact factor: 9.043

5.  Discovery of invariant T cells by next-generation sequencing of the human TCR α-chain repertoire.

Authors:  Barbera van Schaik; Paul Klarenbeek; Marieke Doorenspleet; Antoine van Kampen; D Branch Moody; Niek de Vries; Ildiko Van Rhijn
Journal:  J Immunol       Date:  2014-10-22       Impact factor: 5.422

6.  Clonal evolution of CD8+ T cell responses against latent viruses: relationship among phenotype, localization, and function.

Authors:  Ester B M Remmerswaal; Paul L Klarenbeek; Nuno L Alves; Marieke E Doorenspleet; Barbera D C van Schaik; Rebecca E E Esveldt; Mirza M Idu; Ester M M van Leeuwen; Nelly van der Bom-Baylon; Antoine H C van Kampen; Sven D Koch; Hanspeter Pircher; Frederike J Bemelman; Anja Ten Brinke; Frank Baas; Ineke J M Ten Berge; Rene A W van Lier; Niek de Vries
Journal:  J Virol       Date:  2014-10-22       Impact factor: 5.103

7.  Methodologic Considerations in the Application of Next-Generation Sequencing of Human TRB Repertoires for Clinical Use.

Authors:  Liwen Xu; Xiaoqing You; PingPing Zheng; Bing M Zhang; Puja K Gupta; Philip Lavori; Everett Meyer; James L Zehnder
Journal:  J Mol Diagn       Date:  2016-11-01       Impact factor: 5.568

8.  Dynamical System Modeling to Simulate Donor T Cell Response to Whole Exome Sequencing-Derived Recipient Peptides Demonstrates Different Alloreactivity Potential in HLA-Matched and -Mismatched Donor-Recipient Pairs.

Authors:  Badar Abdul Razzaq; Allison Scalora; Vishal N Koparde; Jeremy Meier; Musa Mahmood; Salman Salman; Max Jameson-Lee; Myrna G Serrano; Nihar Sheth; Mark Voelkner; David J Kobulnicky; Catherine H Roberts; Andrea Ferreira-Gonzalez; Masoud H Manjili; Gregory A Buck; Michael C Neale; Amir A Toor
Journal:  Biol Blood Marrow Transplant       Date:  2015-12-11       Impact factor: 5.742

9.  Profound loss of intestinal Tregs in acutely SIV-infected neonatal macaques.

Authors:  Xiaolei Wang; Huanbin Xu; Chanjuan Shen; Xavier Alvarez; David Liu; Bapi Pahar; Marion S Ratterree; Lara A Doyle-Meyers; Andrew A Lackner; Ronald S Veazey
Journal:  J Leukoc Biol       Date:  2014-12-09       Impact factor: 4.962

10.  Identification of errors introduced during high throughput sequencing of the T cell receptor repertoire.

Authors:  Phuong Nguyen; Jing Ma; Deqing Pei; Caroline Obert; Cheng Cheng; Terrence L Geiger
Journal:  BMC Genomics       Date:  2011-02-11       Impact factor: 3.969

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