Quantitative profiling of immune repertoires for minor lymphocyte counts using unique molecular identifiers
Language English Country Great Britain, England Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
25957172
DOI
10.4049/jimmunol.1500215
PII: jimmunol.1500215
Knihovny.cz E-resources
- MeSH
- DNA, Complementary MeSH
- Middle Aged MeSH
- Humans MeSH
- Lymphocytes immunology metabolism MeSH
- Lymphocyte Count * MeSH
- Position-Specific Scoring Matrices MeSH
- Receptors, Antigen, B-Cell chemistry genetics MeSH
- Receptors, Antigen, T-Cell chemistry genetics MeSH
- Gene Expression Profiling * methods MeSH
- Computational Biology methods MeSH
- High-Throughput Nucleotide Sequencing * MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- DNA, Complementary MeSH
- Receptors, Antigen, B-Cell MeSH
- Receptors, Antigen, T-Cell 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;
References provided by Crossref.org
Distinct organization of adaptive immunity in the long-lived rodent Spalax galili
Functionally specialized human CD4+ T-cell subsets express physicochemically distinct TCRs
Measuring Intratumoral Heterogeneity of Immune Repertoires
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