Proteomics

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Global Analysis of Protein Folding Thermodynamics for Disease State Characterization, MCF7 vs MDAMB231


ABSTRACT: Protein biomarkers can be used to characterize and diagnose disease states such as cancer. They can also serve as therapeutic targets. Current methods for protein biomarker discovery, which generally rely on the large-scale analysis of gene and/or protein expression levels, fail to detect protein biomarkers with disease-related functions and unaltered expression levels. Here we describe the large-scale use of thermodynamic measurements of protein folding and stability for disease state characterization and the discovery of protein biomarkers. Using the Stable Isotope Labeling with Amino Acids in Cell Culture and Stability of Proteins from Rates of Oxidation (SILAC-SPROX) technique, we assayed ~800 proteins for protein folding and stability changes in three different cell culture models of breast cancer including the MCF-10A, MCF-7, and MDA-MB-231 cell lines. The thermodynamic stability profiles generated here created distinct molecular markers for the three cell lines, and a significant fraction (~45%) of the differentially stabilized proteins did not have altered expression levels. Thus, the protein biomarkers reported here created novel molecular signatures of breast cancer and provided additional insight into the molecular basis of the disease. Our results establish the utility of protein folding and stability measurements for the study of disease processes.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell

DISEASE(S): Breast Cancer

SUBMITTER: Jagat Adhikari  

LAB HEAD: Michael C. Fitzgerald

PROVIDER: PXD001848 | Pride | 2015-04-10

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
MCF7vsMDAMB231_BioRep_1_txt.zip Other
MCF7vsMDAMB231_BioRep_2_txt.zip Other
MCF7vsMDAMB231_BioRep_3_txt.zip Other
MS0449_Duke_060314_MDA231_Exp1_01.raw Raw
MS0449_Duke_060314_MDA231_Exp1_02.raw Raw
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Publications

Global analysis of protein folding thermodynamics for disease state characterization.

Adhikari Jagat J   West Graham M GM   Fitzgerald Michael C MC  

Journal of proteome research 20150409 5


Current methods for the large-scale characterization of disease states generally rely on the analysis of gene and/or protein expression levels. These existing methods fail to detect proteins with disease-related functions and unaltered expression levels. Here we describe the large-scale use of thermodynamic measurements of protein folding and stability for the characterization of disease states. Using the Stable Isotope Labeling with Amino Acids in Cell Culture and Stability of Proteins from Rat  ...[more]

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