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Series GSE20592 Query DataSets for GSE20592
Status Public on Apr 28, 2010
Title Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumors and matched controls
Organism Homo sapiens
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary We prepared small RNA libraries from 29 tumor/normal pairs of human cervical tissue samples. Analysis of the resulting sequences (42 million in total) defined 64 new human microRNA (miRNA) genes. Both arms of the hairpin precursor were observed in twenty-three of the newly identified miRNA candidates. We tested several computational approaches for analysis of class differences between high throughput sequencing datasets, and describe a novel application of log linear model that has provided the most datasets, and describe a novel application of log linear model that has provided the most effective analysis for this data. This method resulted in the identification of 67 miRNAs that were differentially-expressed between the tumor and normal samples at a false discovery rate less than 0.001.
 
Overall design A total of 29 tumor/normal pairs of human cervical tissue samples were analyzed. Two samples (G699N_2 and G761T_2) were performed in duplicates. No Fastq files for GSM532871 to GSM532889, GSM532929, and GSM532930. Sequence files are provided as text files for these 22 Sample records in GSE20592_RAW.tar. 38 samples with quality scores are available from SRA as SRP002/SRP002326 (see Supplementary file below).
 
Contributor(s) Witten D, Tibshirani R, Gu SG, Fire A, Lui W
Citation(s) 20459774
Submission date Mar 02, 2010
Last update date May 15, 2019
Contact name Sam Guoping Gu
E-mail(s) ggu@dls.rutgers.edu
Organization name Rutgers University
Department Molecular Biology and Biochemistry
Lab Sam Gu
Street address Nelson Labs A125, 604 Allison Road
City Piscataway
State/province NJ
ZIP/Postal code 08854
Country USA
 
Platforms (1)
GPL9052 Illumina Genome Analyzer (Homo sapiens)
Samples (60)
GSM532871 G652N
GSM532872 G652T
GSM532873 G699N
Relations
SRA SRP002326
BioProject PRJNA124827

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE20592_RAW.tar 78.2 Mb (http)(custom) TAR (of TXT)
GSE20592_processed_data.xls.gz 100.0 Kb (ftp)(http) XLS
SRA Run SelectorHelp
Processed data are available on Series record
Raw data are available in SRA

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