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Chimeric transcript discovery by paired-end transcriptome sequencing

Authors :
Arul M. Chinnaiyan
Shujun Luo
Xuhong Cao
Gary P. Schroth
Irina Khrebtukova
J.C. Brenner
Jindan Yu
Nallasivam Palanisamy
Christopher G. Maher
Terrence R. Barrette
Catherine S. Grasso
Shanker Kalyana-Sundaram
Chandan Kumar-Sinha
Robert J. Lonigro
Source :
Proceedings of the National Academy of Sciences. 106:12353-12358
Publication Year :
2009
Publisher :
Proceedings of the National Academy of Sciences, 2009.

Abstract

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 read-through 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.

Details

ISSN :
10916490 and 00278424
Volume :
106
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences
Accession number :
edsair.doi.dedup.....14210d67f609db938d8f165fc7aeff70
Full Text :
https://doi.org/10.1073/pnas.0904720106