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Series GSE104759 Query DataSets for GSE104759
Status Public on Jun 11, 2018
Title RNA-sequencing of human mammary epithelial cells (HMLEs) transduced in vitro with a shRNA against SOX4 or a scrambled shRNA in untreated and TGF-β-treated (16 hours) conditions
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary In order to identify SOX4- and TGF-beta dependent genes, human mammary epithelial cells (HMLEs) were transduced with shRNA scrambled (control) or shRNA targeting SOX4 (TRCN0000018213, Sigma Aldrich, St. Louis, MS) and selected with puromycin for at least 2 weeks. SOX4 knockdown was confirmed by qRTPCR and western blotting. Cells were plated in 6 well plates and either left untreated or treated with TGF-beta (2.5ng/ml) for 16 hours in biological duplicate (different passages). Samples were harvested and total RNA was isolated using RNAeasy kit (Qiagen). Samples were sequenced on the NextSeq 500 (Illumina), SE75.
 
Overall design Through RNA-sequencing we analysed the differentially expressed genes upon in vitro knockdown of SOX4 and TGF-β pathway activation in human mammary epithelial cells using one shRNA against SOX4
 
Contributor(s) Vervoort S, Lourenço AR, Coffer PJ
Citation(s) 30137431, 30507376
Submission date Oct 10, 2017
Last update date May 15, 2019
Contact name Ana Lourenço
E-mail(s) a.rita.lou@gmail.com, m.g.roukens-2@umcutrecht.nl
Organization name UMC Utrecht
Street address Uppsalalaan 8
City Utrecht
ZIP/Postal code 3584 CT
Country Netherlands
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (8)
GSM2807289 HMLE_SCR UNTR1
GSM2807290 HMLE_SCR UNTR2
GSM2807291 HMLE_SCR TGF_1
This SubSeries is part of SuperSeries:
GSE104761 The interplay between SOX4 and SMAD3 in the context of breast cancer
Relations
BioProject PRJNA413780
SRA SRP119659

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
GSE104759_Differential_gene_expression.txt.gz 1.2 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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