A novel bioinformatics pipeline for identification and characterization of fusion transcripts in breast cancer and normal cell lines.
A novel bioinformatics pipeline for identification and characterization of fusion transcripts in breast cancer and normal cell lines.
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DOI:
10.1093/nar/gkr362
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发表时间:
2011-08
影响因子:
14.9
通讯作者:
Thompson EA
中科院分区:
文献类型:
--
作者:
Asmann YW;Hossain A;Necela BM;Middha S;Kalari KR;Sun Z;Chai HS;Williamson DW;Radisky D;Schroth GP;Kocher JP;Perez EA;Thompson EA
SnowShoes-FTD, developed for fusion transcript detection in paired-end mRNA-Seq data, employs multiple steps of false positive filtering to nominate fusion transcripts with near 100% confidence. Unique features include: (i) identification of multiple fusion isoforms from two gene partners; (ii) prediction of genomic rearrangements; (iii) identification of exon fusion boundaries; (iv) generation of a 5′–3′ fusion spanning sequence for PCR validation; and (v) prediction of the protein sequences, including frame shift and amino acid insertions. We applied SnowShoes-FTD to identify 50 fusion candidates in 22 breast cancer and 9 non-transformed cell lines. Five additional fusion candidates with two isoforms were confirmed. In all, 30 of 55 fusion candidates had in-frame protein products. No fusion transcripts were detected in non-transformed cells. Consideration of the possible functions of a subset of predicted fusion proteins suggests several potentially important functions in transformation, including a possible new mechanism for overexpression of ERBB2 in a HER-positive cell line. The source code of SnowShoes-FTD is provided in two formats: one configured to run on the Sun Grid Engine for parallelization, and the other formatted to run on a single LINUX node. Executables in PERL are available for download from our web site: http://mayoresearch.mayo.edu/mayo/research/biostat/stand-alone-packages.cfm.
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DOI:
10.1038/nrc1299
发表时间:
2004-03
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
通讯作者:
--
DOI:
10.1073/pnas.0505337102
发表时间:
2005-08-09
影响因子:
11.1
作者:
Huh, KW;DeMasi, J;Münger, K
通讯作者:
Münger, K
影响因子:
7
作者:
Pflueger, Dorothee;Terry, Stephane;Rubin, Mark A.
通讯作者:
Rubin, Mark A.
影响因子:
56.9
作者:
Tomlins, SA;Rhodes, DR;Chinnaiyan, AM
通讯作者:
Chinnaiyan, AM
影响因子:
4.8
作者:
Xiong, HB;Li, HX;Unkeless, JC
通讯作者:
Unkeless, JC