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Temporal proteomic analysis of IGF-1R signalling in MCF-7 breast adenocarcinoma cells by J. Patrick Murphy; Devanand M. Pinto is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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## Abstract Dysregulation of the insulin‐like growth factor 1 receptor signalling network is implicated in tumour growth and resistance to chemotherapy. We explored proteomic changes resulting from insulin‐like growth factor 1 stimulation of MCF‐7 adenocarcinoma cells as a function of time. Quantitative analysis using iTRAQTM reagents and 2‐D LC‐MS/MS analysis of three biological replicates resulted in the identification of 899 proteins (__p__≤0.05) with an estimated mean false‐positive rate of 2.6%. Quantitative protein expression was obtained from 681 proteins. Further analysis by supervised __k__‐means clustering identified five temporal clusters, which were submitted to the FuncAssociate server to assign overrepresented gene ontology terms. Proteins associated with vesicle transport were significantly overrepresented. We further analyzed our data set for proteins showing temporal significance using the software, extraction and analysis of differential gene expression, resulting in 20 significantly and temporally changing proteins (__p__≤0.1). These significant proteins play roles in, among others, altered glucose metabolism (lactate dehydrogenase A and pyruvate kinase M1/M2) an

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Author

J. Patrick Murphy; Devanand M. Pinto

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Ltd.; Wiley; Research Square (ISSN 1615-9853)

Published

2010

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)