Towards error-free profiling of immune repertoires
Towards error-free profiling of immune repertoires
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DOI：
10.1038/nmeth.2960
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发表时间：
2014-06-01
期刊：
影响因子：
48
通讯作者：
Chudakov, Dmitriy M.
中科院分区：
文献类型：
--
作者：
Shugay, Mikhail;Britanova, Olga V.;Chudakov, Dmitriy M.
通过高通量测序对抗体和T细胞受体库进行深度分析已成为适应性免疫研究的一种有吸引力的方法，但其能力因PCR和测序错误的积累而大大降低。在这里，我们报告MIGEC（分子标识符组为基础的纠错），高通量测序数据分析的策略。MIGEC允许几乎绝对的纠错，同时完全保留复杂免疫库的天然多样性。
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.