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Series GSE52666 Query DataSets for GSE52666
Status Public on Dec 25, 2014
Title Distinct gene expression profiles between overt GIST and miniGIST
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary In contrast to the paucity of clinic GIST (Gastrointestinal stromal tumor; 0.0014 % happening rate), there is a more than twenty thousand times higher rate for miniGISTs, about ~30% of human population could be identified to have miniGISTs. Exploring the molecular differences between miniGISTs and overt GISTs will help us to understand the transformation mechanisms along with GIST progression, but C-kit and PDGFRA mutations analysis failed to identify the differences between these two groups. Conclusion: miniGISTs have significant distinct gene expression profile with overt GISTs by both unsupervised and supervised analysis. Our finding indicated that c-kit and DOG1 expression are the very early events in the genesis of miniGIST and overt GIST, and miniGIST is a molecular distinct group with overt GIST.
 
Overall design Within our study, we collected six miniGISTs with diameter less than 1cm from autopsies and seven overt GISTs from clinic, performed the first system-wide gene expression profiling of miniGISTs and overt GISTs by 3’end RNA Sequencing, and further compared the expression profiles between these two groups.
 
Contributor(s) Guo X, Zhu SX, Varma S, Brunner AL, Fletcher JA, West RB, van de Rijn M
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Submission date Nov 22, 2013
Last update date May 15, 2019
Contact name Xiangqian Guo
E-mail(s) xqguo@stanford.edu
Phone 650 725 7742
Organization name Stanford University
Department Department of Pathology
Lab vanderijn-west Lab
Street address 300 Pasteur Dr.
City Stanford
State/province CA
ZIP/Postal code 94305
Country USA
 
Platforms (1)
GPL10999 Illumina Genome Analyzer IIx (Homo sapiens)
Samples (13)
GSM1273835 STT111_GIST
GSM1273836 STT5593_GIST
GSM1273837 STT5594_GIST
Relations
BioProject PRJNA229762
SRA SRP033276

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE52666_miniGIST.GIST_transcriptome_gene_counts.TPM.txt.gz 840.9 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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