Dataset Information

Large-Scale Analysis of Breast Cancer-Related Conformational Changes in Proteins using Limited Proteolysis

ABSTRACT: Conformational changes in proteins can lead to disease. Thus, methods for identifying conformational changes in proteins can further improve our understanding and facilitate detection of disease states. Here we combine limited proteolysis (LiP) with Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) to characterize breast cancer-related conformational changes in proteins on the proteomic scale. Studied here are the conformational properties of proteins in two cell culture models of breast cancer, including the MCF-10A and MCF-7 cell lines. The SILAC-LiP approach described here identified ~200 proteins with cell-line dependent conformational changes, as determined by their differential susceptibility to proteolytic digestion using the non-specific protease, proteinase K. The protease susceptibility profiles of the proteins in these cell lines were compared to thermodynamic stability and expression level profiles previously generated for proteins in these same breast cancer cell lines. The comparisons revealed that there was little overlap between the proteins with protease susceptibility changes and the proteins with thermodynamic stability and/or expression level changes. Thus, the large-scale conformational analysis described here provides unique insight into the molecular basis of the breast cancer phenotypes in this study.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Michael C. Fitzgerald

PROVIDER: MSV000080770 | MassIVE | Wed Mar 29 12:31:00 BST 2017

SECONDARY ACCESSION(S): PXD005210

REPOSITORIES: MassIVE

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Publications

Large-Scale Analysis of Breast Cancer-Related Conformational Changes in Proteins Using Limited Proteolysis.

Liu Fang F Fitzgerald Michael C MC

Journal of proteome research 20161117 12

Conformational changes in proteins can lead to disease. Thus, methods for identifying conformational changes in proteins can further improve our understanding and facilitate detection of disease states. Here we combine limited proteolysis (LiP) with Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) to characterize breast cancer-related conformational changes in proteins on the proteomic scale. Studied here are the conformational properties of proteins in two cell culture models of ...[more]

PMID: 27794609

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Project description:Large-scale studies of protein phosphorylation have generally focused on determining the sites and stoichiometry of phosphorylated proteins derived from different biological specimens such as cell lines and tissue samples. While such information is important for understanding the role of phosphorylation in biological systems, it fails to expose the relationship between protein phosphorylation and protein function. Because of the close link between protein function and protein folding stability, knowledge about phosphorylation-induced protein folding stability changes can lead to a better understanding of the functional effects of protein phosphorylation. As part of this work, the Stability of Proteins from Rate of OXidation (SPROX) and Limited Proteolysis (LiP) techniques were utilized to identify phosphorylation-induced conformational and stability changes in proteins derived from a human breast cancer cell line MCF-7. This was accomplished by comparing the conformation properties of proteins in two MCF-7 cell lysates including one that was and one that was not dephosphorylated with alkaline phosphatase. The SPROX technique, which probes the global unfolding/refolding properties of proteins, identified 168 proteins with dephosphorylation-induced stability changes, and the LiPs technique, which probes the more local unfolding/refolding properties of proteins, identified 251 proteins with dephosphorylation-induced stability changes. A total of 49 proteins identified here with dephosphorylation-induced conformational changes, were previously identified in phosphoproteomic studies to be differentially phosphorlyated in different human breast cancer subtypes. A total of 98 proteins identified here overlapped with protein hits previously found to be differentially stabilized in four human breast cancer phenotypes, suggesting that the phosphorylated changes observed here may be disease related. The experimental approach and results reported here create a novel approach for identifying functionally significant PTMs in proteins.

Project description:Large-scale studies of protein phosphorylation have generally focused on determining the sites and stoichiometry of phosphorylated proteins derived from different biological specimens such as cell lines and tissue samples. While such information is important for understanding the role of phosphorylation in biological systems, it fails to expose the relationship between protein phosphorylation and protein function. Because of the close link between protein function and protein folding stability, knowledge about phosphorylation-induced protein folding stability changes can lead to a better understanding of the functional effects of protein phosphorylation. As part of this work, the Stability of Proteins from Rate of OXidation (SPROX) and Limited Proteolysis (LiP) techniques were utilized to identify phosphorylation-induced conformational and stability changes in proteins derived from a human breast cancer cell line MCF-7. This was accomplished by comparing the conformation properties of proteins in two MCF-7 cell lysates including one that was and one that was not dephosphorylated with alkaline phosphatase. The SPROX technique, which probes the global unfolding/refolding properties of proteins, identified 168 proteins with phosphorylation-induced stability changes, and the LiPs technique, which probes the more local unfolding/refolding properties of proteins, identified 251 proteins with phosphorylation-induced stability changes. A total of 49 proteins identified here with phosphorylation-induced conformational changes, were previously identified in phosphoproteomic studies to be differentially phosphorlyated in different human breast cancer subtypes. A total of 98 proteins identified here overlapped with protein hits previously found to be differentially stabilized in four human breast cancer phenotypes, suggesting that the phosphorylated changes observed here may be disease related. The experimental approach and results reported here create a novel perspective in understanding large-scale molecular influence of phosphorylation and a shortcut in finding possible functionally significant PTMs in cellular proteins.

Dataset Information

Large-Scale Analysis of Breast Cancer-Related Conformational Changes in Proteins using Limited Proteolysis

Publications

Large-Scale Analysis of Breast Cancer-Related Conformational Changes in Proteins Using Limited Proteolysis.

Similar Datasets

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