Literature DB >> 36087200

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

Gayathri Nageswaran1, Suzanne Byrne1, Selvaraju Veeriah2, Benny Chain3,4.   

Abstract

Adaptive immunity recognizes and responds to tumors, although they are part of the immunological "self." T cells, both CD4+ and CD8+, play a key role in the process, and the specific set of receptors which recognize tumor antigens therefore has the potential to provide prognostic biomarkers for tracking tumor growth after cancer therapy, including immunotherapy. Most published data on the T cell repertoire continue to rely on commercial proprietary methods, which often do not allow access to the raw data, and are difficult to validate. We describe an open-source 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. Samples are then tagged with unique pairs of indices, facilitating robotic scale-up and significantly reducing cross-sample contamination from index hopping. This method has been applied to the analysis of tumor-infiltrating lymphocytes and matched peripheral blood samples from patients with a variety of solid tumors.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  T cell receptors; Tumor-infiltrating T cells; Unique molecular identifier

Mesh:

Substances:

Year:  2022        PMID: 36087200     DOI: 10.1007/978-1-0716-2712-9_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  9 in total

1.  Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine.

Authors:  Niclas Thomas; James Heather; Wilfred Ndifon; John Shawe-Taylor; Benjamin Chain
Journal:  Bioinformatics       Date:  2013-01-09       Impact factor: 6.937

2.  Towards error-free profiling of immune repertoires.

Authors:  Mikhail Shugay; Olga V Britanova; Ekaterina M Merzlyak; Maria A Turchaninova; Ilgar Z Mamedov; Timur R Tuganbaev; Dmitriy A Bolotin; Dmitry B Staroverov; Ekaterina V Putintseva; Karla Plevova; Carsten Linnemann; Dmitriy Shagin; Sarka Pospisilova; Sergey Lukyanov; Ton N Schumacher; Dmitriy M Chudakov
Journal:  Nat Methods       Date:  2014-05-04       Impact factor: 28.547

3.  Benchmarking of T cell receptor repertoire profiling methods reveals large systematic biases.

Authors:  Pierre Barennes; Valentin Quiniou; Mikhail Shugay; Evgeniy S Egorov; Alexey N Davydov; Dmitriy M Chudakov; Imran Uddin; Mazlina Ismail; Theres Oakes; Benny Chain; Anne Eugster; Karl Kashofer; Peter P Rainer; Samuel Darko; Amy Ransier; Daniel C Douek; David Klatzmann; Encarnita Mariotti-Ferrandiz
Journal:  Nat Biotechnol       Date:  2020-09-07       Impact factor: 54.908

4.  Quantitative analysis of the T cell receptor repertoire.

Authors:  Imran Uddin; Annemarie Woolston; Thomas Peacock; Kroopa Joshi; Mazlina Ismail; Tahel Ronel; Connor Husovsky; Benny Chain
Journal:  Methods Enzymol       Date:  2019-06-20       Impact factor: 1.600

Review 5.  Application of T cell receptor (TCR) repertoire analysis for the advancement of cancer immunotherapy.

Authors:  Kroopa Joshi; Martina Milighetti; Benjamin M Chain
Journal:  Curr Opin Immunol       Date:  2021-08-25       Impact factor: 7.486

6.  Characterization and remediation of sample index swaps by non-redundant dual indexing on massively parallel sequencing platforms.

Authors:  Maura Costello; Mark Fleharty; Justin Abreu; Yossi Farjoun; Steven Ferriera; Laurie Holmes; Brian Granger; Lisa Green; Tom Howd; Tamara Mason; Gina Vicente; Michael Dasilva; Wendy Brodeur; Timothy DeSmet; Sheila Dodge; Niall J Lennon; Stacey Gabriel
Journal:  BMC Genomics       Date:  2018-05-08       Impact factor: 3.969

7.  Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding.

Authors:  Katharine Best; Theres Oakes; James M Heather; John Shawe-Taylor; Benny Chain
Journal:  Sci Rep       Date:  2015-10-13       Impact factor: 4.379

Review 8.  The sequence of sequencers: The history of sequencing DNA.

Authors:  James M Heather; Benjamin Chain
Journal:  Genomics       Date:  2015-11-10       Impact factor: 5.736

9.  Quantitative Characterization of the T Cell Receptor Repertoire of Naïve and Memory Subsets Using an Integrated Experimental and Computational Pipeline Which Is Robust, Economical, and Versatile.

Authors:  Theres Oakes; James M Heather; Katharine Best; Rachel Byng-Maddick; Connor Husovsky; Mazlina Ismail; Kroopa Joshi; Gavin Maxwell; Mahdad Noursadeghi; Natalie Riddell; Tabea Ruehl; Carolin T Turner; Imran Uddin; Benny Chain
Journal:  Front Immunol       Date:  2017-10-12       Impact factor: 7.561

  9 in total

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