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Series GSE97239 Query DataSets for GSE97239
Status Public on Aug 04, 2017
Title High-throughput RNA sequencing on circular RNA profiles of human bladder cancer tissues and normal bladder tissues
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary In order to find out circular RNAs profiles in human bladder cancer tissues and normal bladder tissues, we characterized circuclar RNA transcripts by performing RNA-Seq on ribosomal RNA-depleted total RNA from three pairs of human bladder cancer tissues and paired normal bladder tissues.A computational pipeline based on the anchor alignment of unmapped reads was used to identify circular RNAs. Collectively, we identified16,535 distict circular RNAs, most of them origined from exons (88.96%), others from introns, linc RNA, intergenic region, 3’UTR and 5’UTR. Among all these circRNAs, 571 circRNAs were differentially expressed between bladder cancer tissues and normal bladder tissues, and 524 circRNAs were downregulated in bladder cancer tissues (91.2%), others were upreguluated. These significantly differential expressed circular RNA might have regulatory function in bladder cancer, and worth to be further explored.
 
Overall design Circular RNAs profiles of thredd pairs of bladder cancer tissues and paired adjacent normal bladder tissues were generated by RNA deep-sequencing, using HiSeq2000, Illumina.
 
Contributor(s) Jiang G, Li Y
Citation(s) 28794202
Submission date Mar 30, 2017
Last update date May 15, 2019
Contact name Yawei Li
E-mail(s) lyw2138@163.com
Organization name Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Street address Jiefang road
City Wuhan
State/province Hubei
ZIP/Postal code 430002
Country China
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (6)
GSM2560031 Cancer 1
GSM2560032 Cancer 2
GSM2560033 Cancer 3
Relations
BioProject PRJNA381054
SRA SRP102798

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE97239_circRNA_expression.xls.gz 957.8 Kb (ftp)(http) XLS
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Raw data are available in SRA
Processed data are available on Series record

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