Literature DB >> 26165823

Somatic Mutation Screening Using Archival Formalin-Fixed, Paraffin-Embedded Tissues by Fluidigm Multiplex PCR and Illumina Sequencing.

Ming Wang1, Leire Escudero-Ibarz1, Sarah Moody1, Naiyan Zeng1, Alexandra Clipson1, Yuanxue Huang1, Xuemin Xue1, Nicholas F Grigoropoulos1, Sharon Barrans2, Lisa Worrillow2, Tim Forshew3, Jing Su3, Andrew Firth4, Howard Martin5, Andrew Jack2, Kim Brugger5, Ming-Qing Du6.   

Abstract

High-throughput somatic mutation screening using FFPE tissues is a major challenge because of a lack of established methods and validated variant calling algorithms. We aimed to develop a targeted sequencing protocol by Fluidigm multiplex PCR and Illumina sequencing and to establish a companion variant calling algorithm. The experimental protocol and variant calling algorithm were first developed and optimized against a series of somatic mutations (147 substitutions, 12 indels ranging from 1 to 33 bp) in seven genes, previously detected by Sanger sequencing of DNA from 163 FFPE lymphoma biopsy specimens. The optimized experimental protocol and variant calling algorithm were further ascertained in two separate experiments by including the seven genes as a part of larger gene panels (22 or 13 genes) using FFPE and high-molecular-weight lymphoma DNAs, respectively. We found that most false-positive variants were due to DNA degradation, deamination, and Taq polymerase errors, but they were nonreproducible and could be efficiently eliminated by duplicate experiments. A small fraction of false-positive variants appeared in duplicate, but they were at low alternative allele frequencies and could be separated from mutations when appropriate threshold value was used. In conclusion, we established a robust practical approach for high-throughput mutation screening using archival FFPE tissues.
Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26165823      PMCID: PMC4597275          DOI: 10.1016/j.jmoldx.2015.04.008

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  26 in total

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