Literature DB >> 31727254

Quantitative analysis of the T cell receptor repertoire.

Imran Uddin1, Annemarie Woolston2, Thomas Peacock3, Kroopa Joshi4, Mazlina Ismail2, Tahel Ronel2, Connor Husovsky2, Benny Chain5.   

Abstract

The T cell receptor repertoire provides a window into the cellular adaptive immune response. In the context of cancer, determining the repertoire within a tumor can give important insights into the evolution of the T cell anti-cancer response, and has the potential to identify specific personalized biomarkers for tracking host responses during cancer therapy, including immunotherapy. We describe a protocol for amplifying, sequencing and analyzing T cell receptors which is economical, robust, sensitive and versatile. The key experimental step is the ligation of a single stranded oligonucleotide to the 3' end of the T cell receptor cDNA, which allows easy amplification of all possible rearrangements using only a single set of primers per locus, while simultaneously introducing a unique molecular identifier to label each starting cDNA molecule. After sequencing, this molecular identifier can be used to correct both sequence errors and the effects of differential PCR amplification efficiency, thus producing a more accurate measure of the true T cell receptor frequency within the sample. We describe a detailed protocol describing this method to create libraries of T cell receptors from in vitro T cell cultures, blood or tissue samples. We combine this with a computational pipeline, which incorporates sample multiplexing, T cell receptor annotation and error correction to provide accurate counts of individual T cell receptor sequences within samples. The integrated experimental and computational pipeline should be of value to researchers interested in documenting and understanding the T cell immune response to cancer, and in manipulating it for therapeutic purposes.
© 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adaptive immune response; High-throughput sequencing; Immunotherapy; T cell receptor

Mesh:

Substances:

Year:  2019        PMID: 31727254     DOI: 10.1016/bs.mie.2019.05.054

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  6 in total

1.  Determinants of anti-PD-1 response and resistance in clear cell renal cell carcinoma.

Authors:  Lewis Au; Emine Hatipoglu; Marc Robert de Massy; Kevin Litchfield; Gordon Beattie; Andrew Rowan; Desiree Schnidrig; Rachael Thompson; Fiona Byrne; Stuart Horswell; Nicos Fotiadis; Steve Hazell; David Nicol; Scott T C Shepherd; Annika Fendler; Robert Mason; Lyra Del Rosario; Kim Edmonds; Karla Lingard; Sarah Sarker; Mary Mangwende; Eleanor Carlyle; Jan Attig; Kroopa Joshi; Imran Uddin; Pablo D Becker; Mariana Werner Sunderland; Ayse Akarca; Ignazio Puccio; William W Yang; Tom Lund; Kim Dhillon; Marcos Duran Vasquez; Ehsan Ghorani; Hang Xu; Charlotte Spencer; José I López; Anna Green; Ula Mahadeva; Elaine Borg; Miriam Mitchison; David A Moore; Ian Proctor; Mary Falzon; Lisa Pickering; Andrew J S Furness; James L Reading; Roberto Salgado; Teresa Marafioti; Mariam Jamal-Hanjani; George Kassiotis; Benny Chain; James Larkin; Charles Swanton; Sergio A Quezada; Samra Turajlic
Journal:  Cancer Cell       Date:  2021-10-28       Impact factor: 31.743

2.  The Intra-Tumoral T Cell Receptor Repertoire: Steps Towards a Useful Clinical Biomarker.

Authors:  Gayathri Nageswaran; Suzanne Byrne; Selvaraju Veeriah; Benny Chain
Journal:  Methods Mol Biol       Date:  2022

3.  The clonal structure and dynamics of the human T cell response to an organic chemical hapten.

Authors:  Tahel Ronel; Matthew Harries; Kate Wicks; Theres Oakes; Helen Singleton; Rebecca Dearman; Gavin Maxwell; Benny Chain
Journal:  Elife       Date:  2021-01-12       Impact factor: 8.140

4.  A hierarchy of selection pressures determines the organization of the T cell receptor repertoire.

Authors:  Michal Mark; Shlomit Reich-Zeliger; Erez Greenstein; Dan Reshef; Asaf Madi; Benny Chain; Nir Friedman
Journal:  Front Immunol       Date:  2022-07-29       Impact factor: 8.786

Review 5.  Molecular T-Cell Repertoire Analysis as Source of Prognostic and Predictive Biomarkers for Checkpoint Blockade Immunotherapy.

Authors:  Ilenia Aversa; Donatella Malanga; Giuseppe Fiume; Camillo Palmieri
Journal:  Int J Mol Sci       Date:  2020-03-30       Impact factor: 5.923

6.  Decombinator V4: an improved AIRR compliant-software package for T-cell receptor sequence annotation?

Authors:  Thomas Peacock; James M Heather; Tahel Ronel; Benny Chain
Journal:  Bioinformatics       Date:  2021-05-05       Impact factor: 6.937

  6 in total

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