Proteomics

Dataset Information

0

Global Analysis of Protein Folding Thermodynamics for Disease State Characterization, MCF7 vs MCF10A


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 (ncbitaxon:9606)

SUBMITTER: Michael C. Fitzgerald  

PROVIDER: MSV000080760 | MassIVE | Wed Mar 29 10:12:00 BST 2017

SECONDARY ACCESSION(S): PXD001847

REPOSITORIES: MassIVE

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1
altmetric image

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]

Similar Datasets

2017-03-29 | MSV000080761 | MassIVE
2015-04-10 | PXD001848 | Pride
2015-04-10 | PXD001847 | Pride
2017-07-10 | PXD006703 | Pride
2019-11-12 | PXD007878 | Pride
2019-11-12 | PXD007916 | Pride
2022-11-03 | PXD035628 | Pride
2017-03-29 | MSV000080770 | MassIVE
2012-04-06 | E-GEOD-37087 | biostudies-arrayexpress
2016-12-23 | PXD005210 | Pride