| Literature DB >> 33649493 |
Chia-Feng Tsai1, Pengfei Zhang1,2, David Scholten3, Kendall Martin1, Yi-Ting Wang1, Rui Zhao4, William B Chrisler1, Dhwani B Patel3, Maowei Dou4, Yuzhi Jia3, Carolina Reduzzi5, Xia Liu3, Ronald J Moore1, Kristin E Burnum-Johnson1, Miao-Hsia Lin6, Chuan-Chih Hsu7, Jon M Jacobs1, Jacob Kagan8, Sudhir Srivastava8, Karin D Rodland1, H Steven Wiley4, Wei-Jun Qian1, Richard D Smith1, Ying Zhu4, Massimo Cristofanilli5,9, Tao Liu10, Huiping Liu11,12,13, Tujin Shi14.
Abstract
Large numbers of cells are generally required for quantitative global proteome profiling due to surface adsorption losses associated with sample processing. Such bulk measurement obscures important cell-to-cell variability (cell heterogeneity) and makes proteomic profiling impossible for rare cell populations (e.g., circulating tumor cells (CTCs)). Here we report a surfactant-assisted one-pot sample preparation coupled with mass spectrometry (MS) method termed SOP-MS for label-free global single-cell proteomics. SOP-MS capitalizes on the combination of a MS-compatible nonionic surfactant, n-Dodecyl-β-D-maltoside, and hydrophobic surface-based low-bind tubes or multi-well plates for 'all-in-one' one-pot sample preparation. This 'all-in-one' method including elimination of all sample transfer steps maximally reduces surface adsorption losses for effective processing of single cells, thus improving detection sensitivity for single-cell proteomics. This method allows convenient label-free quantification of hundreds of proteins from single human cells and ~1200 proteins from small tissue sections (close to ~20 cells). When applied to a patient CTC-derived xenograft (PCDX) model at the single-cell resolution, SOP-MS can reveal distinct protein signatures between primary tumor cells and early metastatic lung cells, which are related to the selection pressure of anti-tumor immunity during breast cancer metastasis. The approach paves the way for routine, precise, quantitative single-cell proteomics.Entities:
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Year: 2021 PMID: 33649493 PMCID: PMC7921383 DOI: 10.1038/s42003-021-01797-9
Source DB: PubMed Journal: Commun Biol ISSN: 2399-3642