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Series GSE93807 Query DataSets for GSE93807
Status Public on Sep 18, 2017
Title Therapeutic utility of natural estrogen receptor beta agonists on ovarian cancer
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We examined the transcriptional changes modulated by ESR2 agonist liquiritigenin by perfroming global transcriptome analysis. ES2 cells were treated with either vehicle or liquiritigenin for 24 h and the isolated RNA was utilized for RNA-seq analysis. Our results demonstrated that liquiritigenin modulated several genes that are involved in NF-kB signaling, inflammation, NRF2 mediated oxidative stress response, and MMP signaling.
 
Overall design Total RNA was isolated from the ES2 cells that were treated with vehicle or liquiritigenin for 24 hours. Illumina TruSeq RNA Sample Preparation was performed following manufacturer's protocol. Samples were run on an Illumina HiSeq 3000 in duplicate. The combined raw reads were aligned to UCSC hg19 and genes were annotated by Tophat. Genes were annotated and quantified by HTSeq-DESeq pipeline.
 
Contributor(s) Sareddy GR, Chen Y, Vadlamudi RK
Citation(s) 28654894
Submission date Jan 18, 2017
Last update date May 15, 2019
Contact name Yidong Chen
E-mail(s) cheny8@uthscsa.edu
Phone 2105629163
Organization name UT Health Science Center at San Antonio
Department Population Health Sciences
Street address 8403 Floyd Curl Drive, MSC 7784
City San Antonio
State/province Texas
ZIP/Postal code 78229
Country USA
 
Platforms (1)
GPL21290 Illumina HiSeq 3000 (Homo sapiens)
Samples (4)
GSM2462751 ES2-control-1
GSM2462752 ES2-control-2
GSM2462753 ES2-Liquiritigenin-1
Relations
BioProject PRJNA362462
SRA SRP096998

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
GSE93807_RAW.tar 390.0 Kb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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