Journal Article

Towards error-free profiling of immune repertoires

Turchaninova, Maria A, Mamedov, Ilgar Z, Linnemann, Carsten, Britanova, Olga V, Pospisilova, Sarka, Chudakov, Dmitriy M, Schumacher, Ton N, Merzlyak, Ekaterina M, Lukyanov, Sergey, Staroverov, Dmitry B, Tuganbaev, Timur R, Bolotin, Dmitriy A, Plevova, Karla, Shugay, Mikhail, Putintseva, Ekaterina V, Shagin, Dmitriy

2014

Overview

A two-step error correction process for high throughput–sequenced T- and B-cell receptors allows the elimination of most errors while not diminishing the natural complexity of the repertoires. Deep profiling of antibody and T cell–receptor repertoires by means of high-throughput sequencing has become an attractive approach for adaptive immunity studies, but its power is substantially compromised by the accumulation of PCR and sequencing errors. Here we report MIGEC (molecular identifier groups–based error correction), a strategy for high-throughput sequencing data analysis. MIGEC allows for nearly absolute error correction while fully preserving the natural diversity of complex immune repertoires.

• Publisher: Nature Publishing Group US,Nature Publishing Group
• Subject: 38 / 38/77 / 45 / 49/23 / 49/88 / 631/1647/514/1948 / 631/250/2152 / Bioinformatics / Biological Microscopy / Biological Techniques / Biomedical and Life Sciences / Biomedical Engineering/Biotechnology / brief-communication / Data analysis / DNA Fingerprinting - methods / DNA Fingerprinting - standards / DNA testing / Gene mutations / Genetics / High-Throughput Nucleotide Sequencing - standards / Immune response / Immune system / Immunology / Life Sciences / Methods / Nucleotide sequence / Physiological aspects / Polymerase Chain Reaction - standards / Proteomics / Receptors, Antigen, T-Cell - genetics / Research Design / T cell receptors / T cells