Quantitative profiling of immune repertoires for minor lymphocyte counts using unique molecular identifiers
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
25957172
DOI
10.4049/jimmunol.1500215
PII: jimmunol.1500215
Knihovny.cz E-zdroje
- MeSH
- komplementární DNA MeSH
- lidé středního věku MeSH
- lidé MeSH
- lymfocyty imunologie metabolismus MeSH
- počet lymfocytů * MeSH
- pozičně specifické skórovací matice MeSH
- receptory antigenů B-buněk chemie genetika MeSH
- receptory antigenů T-buněk chemie genetika MeSH
- stanovení celkové genové exprese * metody MeSH
- výpočetní biologie metody MeSH
- vysoce účinné nukleotidové sekvenování * MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- komplementární DNA MeSH
- receptory antigenů B-buněk MeSH
- receptory antigenů T-buněk MeSH
Emerging high-throughput sequencing methods for the analyses of complex structure of TCR and BCR repertoires give a powerful impulse to adaptive immunity studies. However, there are still essential technical obstacles for performing a truly quantitative analysis. Specifically, it remains challenging to obtain comprehensive information on the clonal composition of small lymphocyte populations, such as Ag-specific, functional, or tissue-resident cell subsets isolated by sorting, microdissection, or fine needle aspirates. In this study, we report a robust approach based on unique molecular identifiers that allows profiling Ag receptors for several hundred to thousand lymphocytes while preserving qualitative and quantitative information on clonal composition of the sample. We also describe several general features regarding the data analysis with unique molecular identifiers that are critical for accurate counting of starting molecules in high-throughput sequencing applications.
Central European Institute of Technology Masaryk University 601 77 Brno Czech Republic; and
Vavilov Institute of General Genetics Russian Academy of Sciences 119991 Moscow Russia;
Citace poskytuje Crossref.org
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