TY - JOUR
T1 - Chimeric transcript discovery by paired-end transcriptome sequencing
AU - Maher, Christopher A.
AU - Palanisamy, Nallasivam
AU - Brenner, John C.
AU - Cao, Xuhong
AU - Kalyana-Sundaram, Shanker
AU - Luo, Shujun
AU - Khrebtukova, Irina
AU - Barrette, Terrence R.
AU - Grasso, Catherine
AU - Yu, Jindan
AU - Lonigro, Robert J.
AU - Schroth, Gary
AU - Kumar-Sinha, Chandan
AU - Chinnaiyan, Arul M.
PY - 2009/7/28
Y1 - 2009/7/28
N2 - 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.
AB - 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.
KW - Bioinformatics
KW - Breast cancer
KW - Gene fusions
KW - Prostate cancer
KW - RNA-Seq
UR - http://www.scopus.com/inward/record.url?scp=68149176840&partnerID=8YFLogxK
U2 - 10.1073/pnas.0904720106
DO - 10.1073/pnas.0904720106
M3 - Article
C2 - 19592507
AN - SCOPUS:68149176840
VL - 106
SP - 12353
EP - 12358
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 30
ER -