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Status |
Public on May 02, 2011 |
Title |
Comparative transcriptomic analysis of prostate cancer and matched normal tissue using RNA-seq |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
|
Summary |
We used RNA-seq to interrogate prostate cancer specific gene fusions, alternative splicings, somatic mutations and novel transcripts.
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Overall design |
We sequenced the transcriptome (polyA+) of 20 prostate cancer tumors and 10 matched normal tissues using Illumina GAII platform. Then we used bioinformatic approaches to identify prostate cancer specific aberrations which include gene fusion, alternative splicing, somatic mutation, etc.
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Contributor(s) |
Wang L, Kannan K, Yen L, Li W |
Citation(s) |
21571633 |
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Submission date |
Jun 09, 2010 |
Last update date |
May 15, 2019 |
Contact name |
LIGUO WANG |
E-mail(s) |
wang.liguo@mayo.edu
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Organization name |
Mayo Clinic
|
Department |
Division of Computational Biology
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Street address |
200 1st St SW
|
City |
Rochester |
State/province |
MN |
ZIP/Postal code |
55905 |
Country |
USA |
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Platforms (1) |
GPL9115 |
Illumina Genome Analyzer II (Homo sapiens) |
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Samples (30)
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Relations |
SRA |
SRP002628 |
BioProject |
PRJNA128733 |