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Immunoglobulin transcript sequence and somatic hypermutation computation from unselected RNA-seq reads in chronic lymphocytic leukemia
Author(s) -
James S. Blachly,
Amy S. Ruppert,
Weiqiang Zhao,
Susan K. De Long,
Joseph M. Flynn,
Ian W. Flinn,
Jeffrey A. Jones,
Kami J. Maddocks,
Leslie A. Andritsos,
Emanuela M. Ghia,
Laura Z. Rassenti,
Thomas J. Kipps,
Albert de la Chapelle,
John C. Byrd
Publication year - 2015
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1503587112
Subject(s) - somatic hypermutation , ighv@ , biology , chronic lymphocytic leukemia , genetics , sanger sequencing , gene , mutation , immunoglobulin heavy chain , microbiology and biotechnology , b cell , leukemia , antibody
Significance IGHV mutation status is a well established prognostic factor in chronic lymphocytic leukemia, and also provides crucial insights into tumor cell biology and function. Currently, determination ofIGHV transcript sequence, from which mutation status is calculated, requires a specialized laboratory procedure. RNA sequencing is a method that provides high resolution, high dynamic range transcriptome data that can be used for differential expression, isoform discovery, and variant determination. In this paper, we demonstrate that unselected next-generation RNA sequencing can accurately determine theIGH@ sequence, including the complete sequence of the complementarity-determining region 3 (CDR3), and mutation status of CLL cells, potentially replacing the current method which is a specialized, single-purpose Sanger-sequencing based test.

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