Literature DB >> 24711416

Distinctive properties of identical twins' TCR repertoires revealed by high-throughput sequencing.

Ivan V Zvyagin1, Mikhail V Pogorelyy, Marina E Ivanova, Ekaterina A Komech, Mikhail Shugay, Dmitry A Bolotin, Andrey A Shelenkov, Alexey A Kurnosov, Dmitriy B Staroverov, Dmitriy M Chudakov, Yuri B Lebedev, Ilgar Z Mamedov.   

Abstract

Adaptive immunity in humans is provided by hypervariable Ig-like molecules on the surface of B and T cells. The final set of these molecules in each organism is formed under the influence of two forces: individual genetic traits and the environment, which includes the diverse spectra of alien and self-antigens. Here we assess the impact of individual genetic factors on the formation of the adaptive immunity by analyzing the T-cell receptor (TCR) repertoires of three pairs of monozygous twins by next-generation sequencing. Surprisingly, we found that an overlap between the TCR repertoires of monozygous twins is similar to an overlap between the TCR repertoires of nonrelated individuals. However, the number of identical complementary determining region 3 sequences in two individuals is significantly increased for twin pairs in the fraction of highly abundant TCR molecules, which is enriched by the antigen-experienced T cells. We found that the initial recruitment of particular TCR V genes for recombination and subsequent selection in the thymus is strictly determined by individual genetic factors. J genes of TCRs are selected randomly for recombination; however, the subsequent selection in the thymus gives preference to some α but not β J segments. These findings provide a deeper insight into the mechanism of TCR repertoire generation.

Entities:  

Keywords:  TCR repertoire analysis; immunogenetics; twin studies

Mesh:

Substances:

Year:  2014        PMID: 24711416      PMCID: PMC4000852          DOI: 10.1073/pnas.1319389111

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


  36 in total

1.  A direct estimate of the human alphabeta T cell receptor diversity.

Authors:  T P Arstila; A Casrouge; V Baron; J Even; J Kanellopoulos; P Kourilsky
Journal:  Science       Date:  1999-10-29       Impact factor: 47.728

2.  Pairing of T-cell receptor chains via emulsion PCR.

Authors:  Maria A Turchaninova; Olga V Britanova; Dmitriy A Bolotin; Mikhail Shugay; Ekaterina V Putintseva; Dmitriy B Staroverov; George Sharonov; Dmitriy Shcherbo; Ivan V Zvyagin; Ilgar Z Mamedov; Carsten Linnemann; Ton N Schumacher; Dmitriy M Chudakov
Journal:  Eur J Immunol       Date:  2013-06-26       Impact factor: 5.532

3.  Profiling the T-cell receptor beta-chain repertoire by massively parallel sequencing.

Authors:  J Douglas Freeman; René L Warren; John R Webb; Brad H Nelson; Robert A Holt
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

4.  Deep sequencing of the human TCRγ and TCRβ repertoires suggests that TCRβ rearranges after αβ and γδ T cell commitment.

Authors:  Anna M Sherwood; Cindy Desmarais; Robert J Livingston; Jessica Andriesen; Maximilian Haussler; Christopher S Carlson; Harlan Robins
Journal:  Sci Transl Med       Date:  2011-07-06       Impact factor: 17.956

5.  Statistical inference of the generation probability of T-cell receptors from sequence repertoires.

Authors:  Anand Murugan; Thierry Mora; Aleksandra M Walczak; Curtis G Callan
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-17       Impact factor: 11.205

6.  Overlap and effective size of the human CD8+ T cell receptor repertoire.

Authors:  Harlan S Robins; Santosh K Srivastava; Paulo V Campregher; Cameron J Turtle; Jessica Andriesen; Stanley R Riddell; Christopher S Carlson; Edus H Warren
Journal:  Sci Transl Med       Date:  2010-09-01       Impact factor: 17.956

7.  Recombinatorial biases and convergent recombination determine interindividual TCRβ sharing in murine thymocytes.

Authors:  Hanjie Li; Congting Ye; Guoli Ji; Xiaohui Wu; Zhe Xiang; Yuanyue Li; Yonghao Cao; Xiaolong Liu; Daniel C Douek; David A Price; Jiahuai Han
Journal:  J Immunol       Date:  2012-07-23       Impact factor: 5.422

Review 8.  The molecular basis of TCR germline bias for MHC is surprisingly simple.

Authors:  K Christopher Garcia; Jarrett J Adams; Dan Feng; Lauren K Ely
Journal:  Nat Immunol       Date:  2009-02       Impact factor: 25.606

9.  NMD is essential for hematopoietic stem and progenitor cells and for eliminating by-products of programmed DNA rearrangements.

Authors:  Joachim Weischenfeldt; Inge Damgaard; David Bryder; Kim Theilgaard-Mönch; Lina A Thoren; Finn Cilius Nielsen; Sten Eirik W Jacobsen; Claus Nerlov; Bo Torben Porse
Journal:  Genes Dev       Date:  2008-05-15       Impact factor: 11.361

Review 10.  Mechanics of T cell receptor gene rearrangement.

Authors:  Michael S Krangel
Journal:  Curr Opin Immunol       Date:  2009-04-09       Impact factor: 7.486

View more
  58 in total

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

Authors:  Hoi Ming Li; Toyoko Hiroi; Yongqing Zhang; Alvin Shi; Guobing Chen; Supriyo De; E Jeffrey Metter; William H Wood; Alexei Sharov; Joshua D Milner; Kevin G Becker; Ming Zhan; Nan-ping Weng
Journal:  J Leukoc Biol       Date:  2015-09-22       Impact factor: 4.962

2.  Fluctuating fitness shapes the clone-size distribution of immune repertoires.

Authors:  Jonathan Desponds; Thierry Mora; Aleksandra M Walczak
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-28       Impact factor: 11.205

Review 3.  Comparative analysis of murine T-cell receptor repertoires.

Authors:  Mark Izraelson; Tatiana O Nakonechnaya; Bruno Moltedo; Evgeniy S Egorov; Sofya A Kasatskaya; Ekaterina V Putintseva; Ilgar Z Mamedov; Dmitriy B Staroverov; Irina I Shemiakina; Maria Y Zakharova; Alexey N Davydov; Dmitriy A Bolotin; Mikhail Shugay; Dmitriy M Chudakov; Alexander Y Rudensky; Olga V Britanova
Journal:  Immunology       Date:  2017-11-27       Impact factor: 7.397

4.  CDR3 and V genes show distinct reconstitution patterns in T cell repertoire post-allogeneic bone marrow transplantation.

Authors:  Nili Tickotsky-Moskovitz; Shirit Dvorkin; Yoram Louzoun; Adi Rotkopf; Amir Asher Kuperman; Sol Efroni
Journal:  Immunogenetics       Date:  2021-01-21       Impact factor: 2.846

Review 5.  Donor Unrestricted T Cells: A Shared Human T Cell Response.

Authors:  Ildiko Van Rhijn; D Branch Moody
Journal:  J Immunol       Date:  2015-09-01       Impact factor: 5.422

6.  Reliability of immune receptor rearrangements as genetic markers for minimal residual disease monitoring.

Authors:  V I Nazarov; A A Minervina; A Y Komkov; M V Pogorelyy; M A Maschan; Y V Olshanskaya; I V Zvyagin; D M Chudakov; Y B Lebedev; I Z Mamedov
Journal:  Bone Marrow Transplant       Date:  2016-05-23       Impact factor: 5.483

7.  repgenHMM: a dynamic programming tool to infer the rules of immune receptor generation from sequence data.

Authors:  Yuval Elhanati; Quentin Marcou; Thierry Mora; Aleksandra M Walczak
Journal:  Bioinformatics       Date:  2016-02-26       Impact factor: 6.937

8.  Sex bias in MHC I-associated shaping of the adaptive immune system.

Authors:  Tilman Schneider-Hohendorf; Dennis Görlich; Paula Savola; Tiina Kelkka; Satu Mustjoki; Catharina C Gross; Geoffrey C Owens; Luisa Klotz; Klaus Dornmair; Heinz Wiendl; Nicholas Schwab
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-12       Impact factor: 11.205

9.  High-throughput T cell receptor sequencing identifies clonally expanded CD8+ T cell populations in alopecia areata.

Authors:  Annemieke de Jong; Ali Jabbari; Zhenpeng Dai; Luzhou Xing; Dustin Lee; Mei Mei Li; Madeleine Duvic; Maria Hordinsky; David A Norris; Vera Price; Julian Mackay-Wiggan; Raphael Clynes; Angela M Christiano
Journal:  JCI Insight       Date:  2018-10-04

Review 10.  An overview of immunoinformatics approaches and databases linking T cell receptor repertoires to their antigen specificity.

Authors:  Ivan V Zvyagin; Vasily O Tsvetkov; Dmitry M Chudakov; Mikhail Shugay
Journal:  Immunogenetics       Date:  2019-11-18       Impact factor: 2.846

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.