Quantitative Profiling of Immune Repertoires for Minor Lymphocyte Counts Using Unique Molecular Identifiers
Author(s) -
Evgeny S. Egorov,
Ekaterina M. Merzlyak,
Andrey Shelenkov,
Olga V. Britanova,
Г. В. Шаронов,
Dmitriy B. Staroverov,
Dmitriy A. Bolotin,
Alexey N. Davydov,
Ekaterina Barsova,
Yuri B. Lebedev,
Mikhail Shugay,
Dmitriy M. Chudakov
Publication year - 2015
Publication title -
the journal of immunology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.737
H-Index - 372
eISSN - 1550-6606
pISSN - 0022-1767
DOI - 10.4049/jimmunol.1500215
Subject(s) - biology , computational biology , t cell receptor , identifier , profiling (computer programming) , lymphocyte , immune system , immunology , computer science , t cell , programming language , operating system
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.
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