tcR: an R package for T cell receptor repertoire advanced data analysis
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
26017500
PubMed Central
PMC4445501
DOI
10.1186/s12859-015-0613-1
PII: 10.1186/s12859-015-0613-1
Knihovny.cz E-zdroje
- MeSH
- imunoglobuliny genetika MeSH
- lidé MeSH
- programovací jazyk MeSH
- receptory antigenů T-buněk genetika imunologie MeSH
- sekvenční analýza DNA metody MeSH
- software * MeSH
- vysoce účinné nukleotidové sekvenování metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- imunoglobuliny MeSH
- receptory antigenů T-buněk MeSH
BACKGROUND: The Immunoglobulins (IG) and the T cell receptors (TR) play the key role in antigen recognition during the adaptive immune response. Recent progress in next-generation sequencing technologies has provided an opportunity for the deep T cell receptor repertoire profiling. However, a specialised software is required for the rational analysis of massive data generated by next-generation sequencing. RESULTS: Here we introduce tcR, a new R package, representing a platform for the advanced analysis of T cell receptor repertoires, which includes diversity measures, shared T cell receptor sequences identification, gene usage statistics computation and other widely used methods. The tool has proven its utility in recent research studies. CONCLUSIONS: tcR is an R package for the advanced analysis of T cell receptor repertoires after primary TR sequences extraction from raw sequencing reads. The stable version can be directly installed from The Comprehensive R Archive Network ( http://cran.r-project.org/mirrors.html ). The source code and development version are available at tcR GitHub ( http://imminfo.github.io/tcr/ ) along with the full documentation and typical usage examples.
Central European Institute of Technology Masaryk University Brno Czech Republic
National Research University Higher School of Economics 20 Myasnitskaya Ulitsa Moscow 101000 Russia
Shemyakin Ovchinnikov Institute of Bioorganic Chemistry 16 10 Miklukho Maklaya Moscow 117997 Russia
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Murugan A, Mora T, Walczak AM, Callan CG. Statistical inference of the generation probability of T-cell receptors from sequence repertoires. Proc Natl Acad Sci U S A. 2012;109:16161–6. doi: 10.1073/pnas.1212755109. PubMed DOI PMC
Davis M, Bjorkman P. T-cell antigen receptor genes and T-cell recognition. Nature. 1988;334:395–402. doi: 10.1038/334395a0. PubMed DOI
Lefranc M-P, Lefranc G. The T Cell Receptor FactsBook. Gulf Professional Publishing; 2001.
Lefranc M-P. Immunoglobulin and T Cell Receptor Genes: IMGT and the Birth and Rise of Immunoinformatics. Front Immunol. 2014;5:22. PubMed PMC
Britanova OV, Putintseva EV, Shugay M, Merzlyak EM, Turchaninova MA, Staroverov DB, et al. Age-Related Decrease in TCR Repertoire Diversity Measured with Deep and Normalized Sequence Profiling. J Immunol. 2014;192:2689–98. doi: 10.4049/jimmunol.1302064. PubMed DOI
Mamedov IZ, Britanova OV, Bolotin DA, Chkalina AV, Staroverov DB, Zvyagin IV, et al. Quantitative tracking of T cell clones after haematopoietic stem cell transplantation. EMBO Mol Med. 2011;3:201–7. doi: 10.1002/emmm.201100129. PubMed DOI PMC
Jiang N, He J, Weinstein JA, Penland L, Sasaki S, He X-S, et al. Lineage structure of the human antibody repertoire in response to influenza vaccination. Sci Transl Med. 2013;5:171ra19. doi: 10.1126/scitranslmed.3004794. PubMed DOI PMC
Venturi V, Quigley MF, Greenaway HY, Ng PC, Ende ZS, McIntosh T, et al. A mechanism for TCR sharing between T cell subsets and individuals revealed by pyrosequencing. J Immunol. 2011;186:4285–94. doi: 10.4049/jimmunol.1003898. PubMed DOI
Wang C, Sanders CM, Yang Q, Schroeder HW, Wang E, Babrzadeh F, et al. High throughput sequencing reveals a complex pattern of dynamic interrelationships among human T cell subsets. Proc Natl Acad Sci U S A. 2010;107:1518–23. doi: 10.1073/pnas.0913939107. PubMed DOI PMC
Alamyar E, Giudicelli V, Li S, Duroux P, Lefranc M-P. IMGT/HighV-QUEST: the IMGT web portal for immunoglobulin (IG) or antibody and T cell receptor (TR) analysis from NGS high throughput and deep sequencing. Immunome Res. 2012;8:26.
Alamyar E, Duroux P, Lefranc M-P, Giudicelli V. IMGT tools for the nucleotide analysis of immunoglobulin (IG) and T cell receptor (TR) V-(D)-J repertoires, polymorphisms, and IG mutations: IMGT/V-QUEST and IMGT/HighV-QUEST for NGS. Methods Mol Biol. 2012;569–604. PubMed
Li S, Lefranc M-P, Miles JJ, Alamyar E, Giudicelli V, Duroux P, et al. IMGT/HighV QUEST paradigm for T cell receptor IMGT clonotype diversity and next generation repertoire immunoprofiling. Nat Commun. 2013;4(May):2333. PubMed PMC
Bolotin DA, Shugay M, Mamedov IZ, Putintseva EV, Turchaninova MA, Zvyagin IV, et al. MiTCR: software for T-cell receptor sequencing data analysis. Nat Methods. 2013;10:813–4. doi: 10.1038/nmeth.2555. PubMed DOI
Thomas N, Heather J, Ndifon W, Shawe-Taylor J, Chain B. Decombinator: A tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine. Bioinformatics. 2013;29:542–50. doi: 10.1093/bioinformatics/btt004. PubMed DOI
Giraud M, Salson M, Duez M, Villenet C, Quief S, Caillault A, et al. Fast multiclonal clusterization of V(D)J recombinations from high-throughput sequencing. BMC Genomics. 2014;15(D):409. doi: 10.1186/1471-2164-15-409. PubMed DOI PMC
Ye J, Ma N, Madden TL, Ostell JM. IgBLAST: an immunoglobulin variable domain sequence analysis tool. Nucleic Acids Res. 2013;41(May):34–40. doi: 10.1093/nar/gkt382. PubMed DOI PMC
Munshaw S, Kepler TB. SoDA2: A Hidden Markov Model approach for identification of immunoglobulin rearrangements. Bioinformatics. 2010;26:867–72. doi: 10.1093/bioinformatics/btq056. PubMed DOI PMC
Gaëta BA, Malming HR, Jackson KJL, Bain ME, Wilson P, Collins AM. iHMMune-align: Hidden Markov model-based alignment and identification of germline genes in rearranged immunoglobulin gene sequences. Bioinformatics. 2007;23:1580–7. doi: 10.1093/bioinformatics/btm147. PubMed DOI
Nguyen P, Ma J, Pei D, Obert C, Cheng C, Geiger TL. Identification of errors introduced during high throughput sequencing of the T cell receptor repertoire. BMC Genomics. 2011;12:106. doi: 10.1186/1471-2164-12-106. PubMed DOI PMC
Shugay M, Britanova OV, Merzlyak EM, Turchaninova MA, Mamedov IZ, Tuganbaev TR, et al. Towards error-free profiling of immune repertoires. Nat Methods. 2014;11:653–5. doi: 10.1038/nmeth.2960. PubMed DOI
Calis JJA., Rosenberg BR. Characterizing immune repertoires by high throughput sequencing: strategies and applications. Trends Immunol. 2014;35:581–90. PubMed PMC
Zvyagin IV, Pogorelyy MV, Ivanova ME, Komech E, Shugay M, Bolotin DA, et al. Distinctive properties of identical twins’ TCR repertoires revealed by high-throughput sequencing. Proc Natl Acad Sci U S A. 2014;111:5980–5. doi: 10.1073/pnas.1319389111. PubMed DOI PMC
Putintseva EV, Britanova OV, Staroverov DB, Merzlyak EM, Turchaninova MA, Shugay M, et al. Mother and child T cell receptor repertoires: deep profiling study. Front Immunol. 2013;4(December):463. PubMed PMC
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2014. http://www.R-project.org/