2008
DOI: 10.1073/pnas.0712399105
|View full text |Cite
|
Sign up to set email alerts
|

Transcriptome sequencing of malignant pleural mesothelioma tumors

Abstract: Cancers arise by the gradual accumulation of mutations in multiple genes. We now use shotgun pyrosequencing to characterize RNA mutations and expression levels unique to malignant pleural mesotheliomas (MPMs) and not present in control tissues. On average, 266 Mb of cDNA were sequenced from each of four MPMs, from a control pulmonary adenocarcinoma (ADCA), and from normal lung tissue. Previously observed differences in MPM RNA expression levels were confirmed. Point mutations were identified by using criteria … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
116
0
2

Year Published

2008
2008
2017
2017

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 141 publications
(120 citation statements)
references
References 44 publications
2
116
0
2
Order By: Relevance
“…The results reported here substantiate the notion that deep analysis of the transcriptome can reveal such genomic changes, thereby highlighting active genomic regions that might contribute to the breast cancer phenotype. This study builds upon previous studies, using the 454 Life Sciences sequencing technology that were focused on deep sequencing of cancer cell transcriptomes to identify alternative transcript splice forms and point mutations (28,29). Our results suggest that with a deeper coverage of transcriptome sequence, genomic rearrangements that result in chimeric genes will be identified in an even more efficient and comprehensive manner.…”
Section: Discussionmentioning
confidence: 99%
“…The results reported here substantiate the notion that deep analysis of the transcriptome can reveal such genomic changes, thereby highlighting active genomic regions that might contribute to the breast cancer phenotype. This study builds upon previous studies, using the 454 Life Sciences sequencing technology that were focused on deep sequencing of cancer cell transcriptomes to identify alternative transcript splice forms and point mutations (28,29). Our results suggest that with a deeper coverage of transcriptome sequence, genomic rearrangements that result in chimeric genes will be identified in an even more efficient and comprehensive manner.…”
Section: Discussionmentioning
confidence: 99%
“…This technology also gives quantitative measurement of copy number and LOH information comparable to SNP 1800K arrays. In combination with cDNA sequencing (Bainbridge et al, 2006;Sugarbaker et al, 2008) this technology has the potential to identify novel fusion genes and gene amplifications which might be exploited for targeted therapeutics as has been demonstrated for ERBB2 (Trastuzumab) and BCR-ABL (Imatinib). This application is particularly relevant for ovarian carcinoma because the structural complexity of the genome renders case-by-case evaluation of all chromosome breakpoints near-impossible by traditional cloning methods.…”
Section: Future Developmentsmentioning
confidence: 99%
“…With the availability of faster and cheaper nextgeneration sequencing platforms, more transcriptomic analyses are performed using a recently-developed deep sequencing approach, RNA-Seq ). Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes (Cloonan et al, 2008;Mortazavi et al, 2008;Sugarbaker et al, 2008;Sultan et al, 2008;Tang et al,2010).…”
Section: Whole Transcriptome Shotgun Sequencing: Rna-seqmentioning
confidence: 99%