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Series GSE49566 Query DataSets for GSE49566
Status Public on Aug 07, 2013
Title Analyses of a deactivation genetic variation in Ha-Ras proto oncogene identified in a patient wit premature aging and insulin resistance
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Inherited genetic variants of insulin receptor induced cellular signaling have long been suspected to contribute to the development of type-2- diabetes mellitus. In this report we discuss a heterozygous mutation in the first coding exon of the proto-oncogene Ha-Ras (Ha-RasA11P) that we have identified in a patient with familial premature aging syndrome. The patient has atopic sklerodermic skin alterations, insulin resistance as well as disturbances in lipid metabolism. In vitro analyzes have shown that this mutation disrupted not only the signal transduction of the insulin receptor but also other receptor tyrosine kinases, such as IGF-1, EGF, PDGF. These results demonstrate that HA-Ras has a significant role in insulin sensitivity in humans.
We used microarrays to determine differences in gene expression due to a deactivating Ha-Ras mutation reducing c-fos expression in a patient with lipodystrophy and a Werner-like syndrome.
 
Overall design Cultued fibroblasts of non diabetic controls and a patient with deactivating Ha-Ras mutation were analyzed at identical passage number and growth conditions without further additional treatment.
 
Contributor(s) Knebel B, Kotzka J, Muller-Wieland D
Citation B. Knebel, J. Haas, S. Jacob, U. Nitzgen, M. Schiller, S. Hartwig, S. Lehr, D. M ller-Wieland, J. Kotzka. Analysis of a Genetic Variant of the Proto-Oncogene Ha-Ras - Identified in a Patient with Premature Aging Syndrome and Insulin Resistance. Article in German. Diabetologie und Stoffwechsel 2013; 8(1): 43-50; DOI: 10.1055/s-0032-1330642
Submission date Aug 06, 2013
Last update date Dec 13, 2018
Contact name Birgit Knebel
Organization name German Diabetes Center
Department Cinical Biochemistry and Pathobiochemistry
Street address Auf'm Hennekamp 65
City Duesseldorf
ZIP/Postal code 40225
Country Germany
 
Platforms (1)
GPL8300 [HG_U95Av2] Affymetrix Human Genome U95 Version 2 Array
Samples (9)
GSM979903 control1
GSM979904 control2
GSM979905 control3
Relations
BioProject PRJNA214310

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Supplementary file Size Download File type/resource
GSE49566_RAW.tar 29.1 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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