Comment on 'rigorous benchmarking of T cell receptor repertoire profiling methods for cancer RNA sequencing'

. 2023 Sep 22 ; 24 (6) : .

Jazyk angličtina Země Anglie, Velká Británie Médium print

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid37824737

Transcriptome sequencing has become common in cancer research, resulting in the generation of a substantial volume of RNA sequencing (RNA-Seq) data. The ability to extract immune repertoires from these data is crucial for obtaining information on infiltrating T- and B-lymphocyte clones when dedicated amplicon T-cell/B-cell receptors sequencing (TCR-Seq/BCR-Seq) methods are unavailable. In response to this demand, several dedicated computational methods have been developed, including MiXCR, TRUST and ImRep. In the recent publication in Briefings in Bioinformatics, Peng et al. have conducted an intensive, systematic comparison of the three previously mentioned tools. Although their effort is commendable, we do have a few constructive critiques regarding technical elements of their analysis.

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Peng K, Nowicki TS, Campbell K, et al. . Rigorous benchmarking of T-cell receptor repertoire profiling methods for cancer RNA sequencing. Brief Bioinform 2023;24(4):1–12. PubMed PMC

Li B, Li T, Pignon JC, et al. . Landscape of tumor-infiltrating T cell repertoire of human cancers. Nat Genet 2016;48:725–32. PubMed PMC

Hu X, Zhang J, Wang J, et al. . Landscape of B cell immunity and related immune evasion in human cancers. Nat Genet 2019;51:560–7. PubMed PMC

Mandric I, Rotman J, Yang HT, et al. . Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing. Nat Commun 2020;11:3126. PubMed PMC

Bolotin DA, Poslavsky S, Mitrophanov I, et al. . MiXCR: software for comprehensive adaptive immunity profiling. Nat Methods 2015;12:380–1. PubMed

Bolotin DA, Poslavsky S, Davydov AN, Chudakov DM. Reply to "evaluation of immune repertoire inference methods from RNA-seq data". Nat Biotechnol 2018;36:1035–6. PubMed

Bolotin DA, Poslavsky S, Davydov AN, et al. . Antigen receptor repertoire profiling from RNA-seq data. Nat Biotechnol 2017;35:908–11. PubMed PMC

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