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Facile One-Pot Nanoproteomics for Label-Free Proteome Profiling of 50-1000 Mammalian Cells.
Martin, Kendall; Zhang, Tong; Lin, Tai-Tu; Habowski, Amber N; Zhao, Rui; Tsai, Chia-Feng; Chrisler, William B; Sontag, Ryan L; Orton, Daniel J; Lu, Yong-Jie; Rodland, Karin D; Yang, Bin; Liu, Tao; Smith, Richard D; Qian, Wei-Jun; Waterman, Marian L; Wiley, H Steven; Shi, Tujin.
Afiliación
  • Martin K; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Zhang T; Bioproducts, Sciences & Engineering Laboratory, Department of Biological Systems Engineering, Washington State University, Richland, Washington 99354, United States.
  • Lin TT; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Habowski AN; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Zhao R; Department of Microbiology and Molecular Genetics, University of California Irvine, Irvine, California 92697, United States.
  • Tsai CF; Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Chrisler WB; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Sontag RL; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Orton DJ; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Lu YJ; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Rodland KD; Centre for Cancer Biomarker and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, United Kingdom.
  • Yang B; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Liu T; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Smith RD; Bioproducts, Sciences & Engineering Laboratory, Department of Biological Systems Engineering, Washington State University, Richland, Washington 99354, United States.
  • Qian WJ; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Waterman ML; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Wiley HS; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Shi T; Department of Microbiology and Molecular Genetics, University of California Irvine, Irvine, California 92697, United States.
J Proteome Res ; 20(9): 4452-4461, 2021 09 03.
Article en En | MEDLINE | ID: mdl-34351778
Recent advances in sample preparation enable label-free mass spectrometry (MS)-based proteome profiling of small numbers of mammalian cells. However, specific devices are often required to downscale sample processing volume from the standard 50-200 µL to sub-µL for effective nanoproteomics, which greatly impedes the implementation of current nanoproteomics methods by the proteomics research community. Herein, we report a facile one-pot nanoproteomics method termed SOPs-MS (surfactant-assisted one-pot sample processing at the standard volume coupled with MS) for convenient robust proteome profiling of 50-1000 mammalian cells. Building upon our recent development of SOPs-MS for label-free single-cell proteomics at a low µL volume, we have systematically evaluated its processing volume at 10-200 µL using 100 human cells. The processing volume of 50 µL that is in the range of volume for standard proteomics sample preparation has been selected for easy sample handling with a benchtop micropipette. SOPs-MS allows for reliable label-free quantification of ∼1200-2700 protein groups from 50 to 1000 MCF10A cells. When applied to small subpopulations of mouse colon crypt cells, SOPs-MS has revealed protein signatures between distinct subpopulation cells with identification of ∼1500-2500 protein groups for each subpopulation. SOPs-MS may pave the way for routine deep proteome profiling of small numbers of cells and low-input samples.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteoma / Proteómica Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteoma / Proteómica Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2021 Tipo del documento: Article