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Series GSE203149 Query DataSets for GSE203149
Status Public on Dec 31, 2022
Title Gene expression data from muscle-invasive bladder cancer samples
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Gene signatures based on the median expression of a preselected set of genes can provide prognostic and treatment outcome prediction and so be valuable clinically.
Different health care services use different gene expression platforms to derive gene expression data. Here we have derived gene expression data using a microarray platform.
 
Overall design RNA extracted from FFPE blocks from patients with muscle-invasive bladder cancer and full transcriptome analysis on Clariom S microarray platform. Sample blocks were collected for platform comparison and a heterogeneity gene signature study without any associated patient information.
 
Contributor(s) Smith TA, Lane B, More E, Valentine H, Lunj S, Irlam-Jones J, Reeves KJ, Hoskin PJ, Choudhury A, West CM
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Submission date May 17, 2022
Last update date Jan 02, 2023
Contact name Tim Smith
E-mail(s) [email protected]
Organization name University of Bangor
Department School of Computer Science and Engineering
Lab Nuclear Futures Institute
Street address Dean Street
City Bangor
ZIP/Postal code LL57 2DG
Country United Kingdom
 
Platforms (1)
GPL24324 [Clariom_S_Human_HT] Affymetrix Clariom S Assay HT, Human (Includes Pico Assay)
Samples (171)
GSM6160439 Muscle-invasive bladder cancer [BL237270]
GSM6160440 Muscle-invasive bladder cancer [BL237598]
GSM6160441 Muscle-invasive bladder cancer [BL239562]
Relations
BioProject PRJNA838854

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
GSE203149_RAW.tar 159.9 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table
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