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Series GSE172097 Query DataSets for GSE172097
Status Public on May 01, 2021
Title Alterations in chromosome spatial compartmentalization classify prostate cancer progression [Hi-C]
Organism Homo sapiens
Experiment type Other
Summary Through a systematic analysis of chromosome conformation capture in a cohort of cells that model cancer progression, San Martin find that rearrangement of the 3D genome structure in prostate cancer is a potential mechanism for disease exacerbation and that genome-wide compartment identity can classify cancer according to progression
Overall design Analysis of the 3D genomic structure of a cohort of cell lines in the continuum of prostate cancer, from normal to metastatic
Pleaes note that each processed data *tar file was generated from all replicates and is linked to the corresponding '*HiC-1' sample records.
Contributor(s) San Martin R, Das P, Dos Reis Marquez R, Yang X, McCord RP
Citation(s) 34889941
Submission date Apr 14, 2021
Last update date Jun 21, 2022
Contact name Rebeca SanMartin
Organization name University of Tennessee Knoxville
Street address 1311 Cumberland Avenue
City Knoxville
State/province TN
ZIP/Postal code 37996
Country USA
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (12)
GSM5241744 Prostate-LNCaP-HiC
GSM5241745 Prostate-DU145-HiC-1
GSM5241746 Prostate-DU145-HiC-2
This SubSeries is part of SuperSeries:
GSE172099 Alterations in chromosome spatial compartmentalization classify prostate cancer progression.
BioProject PRJNA722011
SRA SRP314861

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
GSE172097_RAW.tar 4.4 Gb (http)(custom) TAR (of TAR)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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