Abstract
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.
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Acknowledgements
We are grateful to M. Eisenstein for the English editing. This work was supported by the Molecular and Cell Biology program RAS, Russian Foundation for Basic Research 12-04-33139 (to D.M.C.), 13-04-00998 (to O.V.B.) and 14-04-01247 (to E.M.M.), Russian President grant MD-3044.2014.4 (to D.M.C.) and European Regional Development Fund (CZ.1.05/1.1.00/02.0068).
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M.S., O.V.B., D.A.B., D.S., S.P. and D.M.C. designed experiments. O.V.B., E.M.M., M.A.T., I.Z.M., T.R.T., D.B.S., E.V.P., K.P. and C.L. performed experiments. M.S., D.A.B. and D.M.C. designed the MIGEC algorithm and analyzed and interpreted results. M.S., S.L., T.N.S. and D.M.C. wrote the manuscript.
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Shugay, M., Britanova, O., Merzlyak, E. et al. Towards error-free profiling of immune repertoires. Nat Methods 11, 653–655 (2014). https://doi.org/10.1038/nmeth.2960
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DOI: https://doi.org/10.1038/nmeth.2960
