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Series GSE99479 Query DataSets for GSE99479
Status Public on Oct 16, 2017
Title A class of GATA3 mutation reprograms the breast cancer transcriptional network through gain and loss of function
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary A pioneer transcription factor, GATA3, is one of the most frequently mutated genes in breast cancer, yet the impact of these mutations is largely unknown. We generated a GATA3 mutant cell line (T47D wt/R330fs) by CRISPR. Mutation of one allele of GATA3 led to loss of binding and decreased expression at a subset of genes, including Progesterone Receptor. At other loci, associated with epithelial to mesenchymal transition, gain of binding at a novel sequence motif correlated with increased gene expression. Our results illuminate tumor-promoting functions of specific GATA3 mutations in breast cancer.
 
Overall design Genome-wide mapping of chromatin localization of luminal transcription factors in GATA3 mutant cells
 
Contributor(s) Takaku M, Grimm SA, Paul WA
Citation(s) 32232341
Submission date May 31, 2017
Last update date May 26, 2020
Contact name Paul A Wade
E-mail(s) [email protected]
Phone 919-541-3392
Organization name NIEHS
Department Laboratory of Molecular Carcinogenesis
Street address 111 TW Alexander Drive
City Research Triangle Park
State/province NC
ZIP/Postal code 27709
Country USA
 
Platforms (2)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (96)
GSM2644561 ATAC-seq_T47Dflp_rep1
GSM2644562 ATAC-seq_T47Dflp_rep2
GSM2644563 ATAC-seq_T47Dflp_rep3
Relations
BioProject PRJNA388581
SRA SRP108337

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
GSE99479_Gene_counts_per_sample.Xenograft_CRctrl.txt.gz 897.9 Kb (ftp)(http) TXT
GSE99479_RNA-seq_DEGs.T47Dflp.vs.CR3flp.txt.gz 24.3 Kb (ftp)(http) TXT
GSE99479_RNA-seq_DEGs.Vector.vs.ExoR330fs.txt.gz 11.2 Kb (ftp)(http) TXT
GSE99479_RNA-seq_DEGs.progesterone.txt.gz 67.9 Kb (ftp)(http) TXT
GSE99479_bed_files.tar.gz 3.3 Mb (ftp)(http) TAR
GSE99479_bigwig_files.tar.gz 10.5 Gb (ftp)(http) TAR
GSE99479_gene_counts_per_sample.RNA-seq.txt.gz 1.0 Mb (ftp)(http) TXT
GSE99479_gene_counts_per_sample.RNA-seq_ProgesteroneTreatment.txt.gz 873.1 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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