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Series GSE38424 Query DataSets for GSE38424
Status Public on Oct 30, 2014
Title Analysis of blood myelomonocytic cells from RCC patients
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Myelomonocytic cells (i.e., monocytes or macrophages) play a key role in tumor progression as revealed by numerous mice tumor model studies. However, their contribution in human tumor progression is not well-studied. Using Renal Cell Carcinoma (RCC) as a model for human cancer, we performed a transcriptomal profiling of blood monocytes from RCC patients to investigate the contribution of these cells in cancer progression. As compared to monocytes from healthy donors (Mo), transcriptome analysis of monocytes from RCC patients (RCC-Mo) showed a distinct gene expression signature consisting of cytokines, chemokines and various inflammation-related genes. Validation of these genes by qPCR as well as other functional assays indicated RCC-Mo possess an inflammatory and tumor promoting phenotype.
 
Overall design Blood monocytes from RCC patients (with early or metastatic disease) or healthy donors (controls) were isolated, and then differential gene expression was detected with Limma.
 
Contributor(s) Biswas SK, Poidinger M
Citation(s) 25453823
Submission date Jun 03, 2012
Last update date Aug 13, 2018
Contact name Michael Poidinger
E-mail(s) michael_poidinger@immunol.a-star.edu.sg
Phone +6564070528
URL http://www.sign.a-star.edu.sg
Organization name Singapore Immunology Network
Department Bioinformatics
Street address #04-06, 8A Biomedical Grove
City Singapore
ZIP/Postal code 138648
Country Singapore
 
Platforms (1)
GPL10558 Illumina HumanHT-12 V4.0 expression beadchip
Samples (8)
GSM941952 Mononcyte-healthy-untreated-1
GSM941953 Mononcyte-healthy-untreated-2
GSM941954 Mononcyte-healthy-untreated-3
Relations
BioProject PRJNA167836

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
GSE38424_RAW.tar 26.2 Mb (http)(custom) TAR
GSE38424_non-normalized.txt.gz 2.5 Mb (ftp)(http) TXT
Processed data included within Sample table

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