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Series GSE75062 Query DataSets for GSE75062
Status Public on Sep 14, 2017
Title Discovery and validation of a gene expression profile for human islet integrity and transplant functionality
Organism Homo sapiens
Experiment type Expression profiling by array
Summary There is growing evidence that transplantation of cadaveric human islets is an effective therapy for type 1 diabetes. However, gauging the suitability of islet samples for clinical use remains a challenge. We hypothesized that islet quality is reflected in the expression of specific genes. Therefore, gene expression in 59 human islet preparations was analyzed and correlated with diabetes reversal after transplantation in diabetic mice. Analysis yielded 262 differentially expressed probesets, which together predict islet quality with 83% accuracy. Pathway analysis revealed that failing islet preparations activated inflammatory pathways, while functional islets showed increased regeneration pathway gene expression. Gene expression associated with apoptosis and oxygen consumption showed little overlap with each other or with the 262 probeset classifier, indicating that the three tests are measuring different aspects of islet cell biology. A subset of 36 probesets surpassed the predictive accuracy of the entire set for reversal of diabetes, and was further reduced by logistic regression to sets of 14 and 5 without losing accuracy. These genes were further validated with an independent cohort of 16 samples. We believe this limited number of gene classifiers in combination with other tests may provide complementary verification of islet quality prior to their clinical use.
 
Overall design Microarray profiles of 59 human islet preparations were compared between three data sets using class comparisons, network and biological function analyses. Specific genes were validated by quantitative PCR and immunopathology. Clinical findings were also compared.
 
Contributor(s) Kurian SM
Citation(s) 28968432
Submission date Nov 16, 2015
Last update date Mar 25, 2019
Contact name Sunil Kurian
E-mail(s) smkurian@scripps.edu
Phone 858-784-7759
Organization name The Scripps Research Institute
Department Molecular and Experimental Medicine
Street address 10550 N Torrey Pines Road
City La Jolla
State/province CA
ZIP/Postal code 92037
Country USA
 
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (59)
GSM1941673 Hu644
GSM1941674 Hu645
GSM1941675 Hu646
Relations
BioProject PRJNA302311

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE75062_RAW.tar 375.3 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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