Integrative Analysis of Subcellular Quantitative Proteomics Studies Reveals Functional Cytoskeleton Membrane-Lipid Raft Interactions in Cancer

Anup D. Shah, Kerry L. Inder, Alok K. Shah, Alexandre S. Cristino, Arthur B. McKie, Hani Gabra, Melissa J. Davis, Michelle M. Hill

Research output: Contribution to journalArticleResearchpeer-review

12 Citations (Scopus)

Abstract

Lipid rafts are dynamic membrane microdomains that orchestrate molecular interactions and are implicated in cancer development. To understand the functions of lipid rafts in cancer, we performed an integrated analysis of quantitative lipid raft proteomics data sets modeling progression in breast cancer, melanoma, and renal cell carcinoma. This analysis revealed that cancer development is associated with increased membrane raft-cytoskeleton interactions, with ∼40% of elevated lipid raft proteins being cytoskeletal components. Previous studies suggest a potential functional role for the raft-cytoskeleton in the action of the putative tumor suppressors PTRF/Cavin-1 and Merlin. To extend the observation, we examined lipid raft proteome modulation by an unrelated tumor suppressor opioid binding protein cell-adhesion molecule (OPCML) in ovarian cancer SKOV3 cells. In agreement with the other model systems, quantitative proteomics revealed that 39% of OPCML-depleted lipid raft proteins are cytoskeletal components, with microfilaments and intermediate filaments specifically down-regulated. Furthermore, protein-protein interaction network and simulation analysis showed significantly higher interactions among cancer raft proteins compared with general human raft proteins. Collectively, these results suggest increased cytoskeleton-mediated stabilization of lipid raft domains with greater molecular interactions as a common, functional, and reversible feature of cancer cells.

Original languageEnglish
Pages (from-to)3451-3462
Number of pages12
JournalJournal of Proteome Research
Volume15
Issue number10
DOIs
Publication statusPublished - 7 Oct 2016
Externally publishedYes

Keywords

  • cancer progression
  • computational biology
  • cytoskeleton
  • lipid raft
  • quantitative proteomics

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