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Chimeric transcript discovery by paired-end transcriptome sequencing

delete2009-07-28
delete309
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OA
AI
C
Christopher A. Maher
N
Nallasivam Palanisamy
J
J. Chad Brenner
X
Xuhong Cao
S
Shanker Kalyana‐Sundaram
S
Shujun Luo
I
Irina Khrebtukova
T
Terrence R. Barrette
C
Catherine S. Grasso
J
Jindan Yu
R
Robert J. Lonigro
G
Gary P. Schroth
C
Chandan Kumar‐Sinha
A
Arul M. Chinnaiyan *
DOI:10.1073/pnas.0904720106delete
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摘要

摘要

En 中文
Recurrent gene fusions are a prevalent class of mutations arising from the juxtaposition of 2 distinct regions, which can generate novel functional transcripts that could serve as valuable therapeutic targets in cancer. Therefore, we aim to establish a sensitive, high-throughput methodology to comprehensively catalog functional gene fusions in cancer by evaluating a paired-end transcriptome sequencing strategy. Not only did a paired-end approach provide a greater dynamic range in comparison with single read based approaches, but it clearly distinguished the high-level driving'' gene fusions, such as BCR-ABL1 and TMPRSS2-ERG, from potential lower level passenger'' gene fusions. Also, the comprehensiveness of a paired-end approach enabled the discovery of 12 previously undescribed gene fusions in 4 commonly used cell lines that eluded previous approaches. Using the paired-end transcriptome sequencing approach, we observed readthrough mRNA chimeras, tissue-type restricted chimeras, converging transcripts, diverging transcripts, and overlapping mRNA transcripts. Last, we successfully used paired-end transcriptome sequencing to detect previously undescribed ETS gene fusions in prostate tumors. Together, this study establishes a highly specific and sensitive approach for accurately and comprehensively cataloguing chimeras within a sample using paired-end transcriptome sequencing.
Keyword:
bioinformatics
gene fusions
prostate cancer
breast cancer
RNA-Seq
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期刊

P
Proceedings of the National Academy of Sciences of the United States of America
IF:
9.1
论文数:
10.8W
被引数:
73.5W

机构

U
University of Michigan
学者数:
6.4W
论文数: 5.3W
被引数: 124
U
university of michigan system
学者数:
9.1W
论文数: 8.6W
被引数: 133
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