Literature DB >> 34351778

Facile One-Pot Nanoproteomics for Label-Free Proteome Profiling of 50-1000 Mammalian Cells.

Kendall Martin1,2, Tong Zhang1, Tai-Tu Lin1, Amber N Habowski3, Rui Zhao4, Chia-Feng Tsai1, William B Chrisler1, Ryan L Sontag1, Daniel J Orton1, Yong-Jie Lu5, Karin D Rodland1, Bin Yang1,2, Tao Liu1, Richard D Smith1, Wei-Jun Qian1, Marian L Waterman3, H Steven Wiley4, Tujin Shi1.   

Abstract

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.

Entities:  

Keywords:  SOPs-MS; colon crypt cells; nanoproteomics; small numbers of cells; surfactant DDM

Mesh:

Substances:

Year:  2021        PMID: 34351778      PMCID: PMC8945255          DOI: 10.1021/acs.jproteome.1c00403

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  38 in total

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Journal:  Nature       Date:  2016-05-25       Impact factor: 49.962

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  1 in total

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Journal:  Front Med (Lausanne)       Date:  2022-09-27
  1 in total

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