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Characterization of fusion genes and the significantly expressed fusion isoforms in breast cancer by hybrid sequencing
Journal article   Open access   Peer reviewed

Characterization of fusion genes and the significantly expressed fusion isoforms in breast cancer by hybrid sequencing

Linda S Powers, Jason L Weirather, Joseph Zabner, Pegah Tootoonchi Afshar, Tyson A Clark, Elizabeth Tseng, Jason G Underwood, Jonas Korlach, Wing Hung Wong and Kin Fai Au
Nucleic acids research, Vol.43(18), pp.e116-e116
10/15/2015
DOI: 10.1093/nar/gkv562
PMCID: PMC4605286
PMID: 26040699
url
https://doi.org/10.1093/nar/gkv562View
Published (Version of record) Open Access

Abstract

We developed an innovative hybrid sequencing approach, IDP-fusion, to detect fusion genes, determine fusion sites and identify and quantify fusion isoforms. IDP-fusion is the first method to study gene fusion events by integrating Third Generation Sequencing long reads and Second Generation Sequencing short reads. We applied IDP-fusion to PacBio data and Illumina data from the MCF-7 breast cancer cells. Compared with the existing tools, IDP-fusion detects fusion genes at higher precision and a very low false positive rate. The results show that IDP-fusion will be useful for unraveling the complexity of multiple fusion splices and fusion isoforms within tumorigenesis-relevant fusion genes.
Sequence Alignment Breast Neoplasms - genetics Protein Isoforms - metabolism MCF-7 Cells Humans Carcinogenesis - genetics Female Gene Fusion Gene Expression Profiling High-Throughput Nucleotide Sequencing - methods Breast Neoplasms - metabolism Protein Isoforms - genetics

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