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Series GSE184277 Query DataSets for GSE184277
Status Public on Sep 20, 2021
Title Transcriptomic effect of retroviral overexpression of PIK3CA-H1047R in breast epithelial MCF10A cells; +/- 500 nM BYL719 as a function of time (48h and 120h).
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The aim of this experiment was to evaluate the transcriptomic effects of PI3K pathway hyperactivation vs inhibition, in the context of PIK3CA-H1047R overexpression in MCF10A breast epithelial cells. The cells were processed for RNA sequencing, with the t values from subsequent differential gene expression processing used for gene set enrichment analysis (GSEA) with the MSigDB HALLMARK_PI3K_AKT_MTOR_SIGNALING gene signature. We demonstrate that the HALLMARK_PI3K_AKT_MTOR_SIGNALING gene signature can be used as a transcriptional footprint of PI3K pathway activation: it correctly predicts activation of the pathway in DMSO-treated PIK3CA-H1047R MCF10A cells relative to EV controls; conversely, it also correctly predicts pathway inhibition upon p110 inhibition with BYL719.
 
Overall design Transcriptomic data from untransformed, immortalised human breast epithelial MCF10A cells with retrovirally-mediated overexpression of the PIK3CA-H1047R oncogene, alongside the respective empty vector (EV) control cells; assessed in growth factor-replete conditions, with PIK3CA-H1047R also exposed to either DMSO or 500 nM BYL719 (p110alpha-specific inhibitor) in order to determine the extent to which the transcriptomic phenotype can be reversed. Data were obtained from two treatment time points - 48h and 120h. Following differential gene expression analysies with limma-voom, the genes were ranked according to the t values specifying a given comparison, and used to determine whether conventional gene set enrichment analysis (GSEA) with the the mSigDb "HALLMARK_PI3K_AKT_MTORC1" gene signature would distinguish samples with PI3K pathway activation vs inhibition.
 
Contributor(s) Madsen RR, Toker A, Erickson EC
Citation(s) 34762647
Submission date Sep 16, 2021
Last update date Nov 19, 2021
Contact name Ralitsa Radostinova Madsen
E-mail(s) rmadsen001@dundee.ac.uk
Organization name School of Life Sciences, University of Dundee
Department Medical Research Council Protein Phosphorylation and Ubiquitylation Unit
Lab Madsen Lab
Street address Dow Street
City Dundee
ZIP/Postal code DD1 5EH
Country United Kingdom
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (18)
GSM5583226 MCF10A_EV_DMSO_48h_rep1 [RM_1_1]
GSM5583227 MCF10A_H1047R_DMSO_48h_rep1 [RM_3_1]
GSM5583228 MCF10A_H1047R_BYL_48h_rep1 [RM_4_1]
Relations
BioProject PRJNA763878
SRA SRP337420

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
GSE184277_merged_gene_counts.txt.gz 782.6 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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