4.7 Article

A High-Efficiency Cellular Extraction System for Biological Proteomics

期刊

JOURNAL OF PROTEOME RESEARCH
卷 14, 期 8, 页码 3403-3408

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.5b00547

关键词

cell lysis; protein extraction; binary detergent; adaptive focused acoustics

资金

  1. National Institutes of Health [K08 CA160660]
  2. Gabrielle's Angel Foundation
  3. Alex's Lemonade Stand Foundation
  4. Burroughs Wellcome Fund
  5. Josie Robertson Foundation

向作者/读者索取更多资源

Recent developments in quantitative high-resolution mass spectrometry have led to significant improvements in the sensitivity and specificity of the biochemical analyses of cellular reactions, protein-protein interactions, and small-molecule-drug discovery. These approaches depend on cellular proteome extraction that preserves native protein activities. Here, we systematically analyzed mechanical methods of cell lysis and physical protein extraction to identify those that maximize the extraction of cellular proteins while minimizing their denaturation. Cells were mechanically disrupted using Potter-Elvehjem homogenization, probe- or adaptive-focused acoustic sonication, and were in the presence of various detergents, including polyoxyethylene ethers and esters, glycosides, and zwitterions. Using fluorescence spectroscopy, biochemical assays, and mass spectrometry proteomics, we identified the combination of adaptive focused acoustic (AFA) sonication in the presence of a binary poloxamer-based mixture of octyl-beta-glucoside and Pluronic F-127 to maximize the depth and yield of the proteome extraction while maintaining native protein activity. This binary poloxamer extraction system allowed for native proteome extraction comparable in coverage to the proteomes extracted using denaturing SDS or guanidine-containing buffers, including the efficient extraction of all major cellular organelles. This high-efficiency cellular extraction system should prove useful for a variety of cell biochemical studies, including structural and functional proteomics.

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