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Series GSE101745 Query DataSets for GSE101745
Status Public on Feb 01, 2018
Title Functional and genomic characterization of a xenograft model system for the study of metastasis in triple-negative breast cancer.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary To define the molecular regulators of metastasis of triple-negative breast cancer, we conducted a rigorous characterization of four isogenic populations of MDA-MB-231 human triple-negative breast cancer cells that display a range of intrinsic spontaneous metastatic capacities in immuno-deficient mice, from non-metastatic to highly metastatic to lung, liver, spleen and spine. PAT-Seq gene expression profiling of primary tumor cells identified the fibroblast growth factor homologous factor, FGF13, as a candidate metastatic virulence gene highly upregulated in aggressively metastatic MDA-MB-231HM tumors.
Overall design Gene expression analysis from PAT-Seq of 4 increasingly metastatic breast cancer xenograft tumours
Contributor(s) Pattison AD, Harrison PF, Powell DR, Beilharz TH
Citation(s) 29720474
Submission date Jul 21, 2017
Last update date May 15, 2019
Contact name Andrew Pattison
Organization name Monash University
Street address Wellington Rd
City Melbourne
State/province Vic
ZIP/Postal code 3800
Country Australia
Platforms (1)
GPL18460 Illumina HiSeq 1500 (Homo sapiens)
Samples (20)
GSM2714336 MDA-MB-231_ATCC_1
GSM2714337 MDA-MB-231_ATCC_2
GSM2714338 MDA-MB-231_LNA_1
This SubSeries is part of SuperSeries:
GSE111706 Metastasis in triple-negative breast cancer
BioProject PRJNA395339
SRA SRP113305

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
GSE101745_genewise-count.csv.gz 870.7 Kb (ftp)(http) CSV
GSE101745_genewise-tail-count.csv.gz 772.3 Kb (ftp)(http) CSV
GSE101745_genewise-tail.csv.gz 1.7 Mb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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