Global analysis of protein folding thermodynamics for disease state characterization.

Journal Article (Journal Article)

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 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 to differentiate the three cell lines, and a significant fraction (∼45%) of the differentially stabilized proteins did not have altered expression levels. Thus, the differential thermodynamic profiling strategy 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, and they suggest that such measurements may be useful for biomarker discovery in disease.

Full Text

Duke Authors

Cited Authors

  • Adhikari, J; West, GM; Fitzgerald, MC

Published Date

  • May 2015

Published In

Volume / Issue

  • 14 / 5

Start / End Page

  • 2287 - 2297

PubMed ID

  • 25825992

Pubmed Central ID

  • PMC4453830

Electronic International Standard Serial Number (EISSN)

  • 1535-3907

International Standard Serial Number (ISSN)

  • 1535-3893

Digital Object Identifier (DOI)

  • 10.1021/acs.jproteome.5b00057


  • eng