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  4. Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics
 
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Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics

Journal
Communications biology
Journal Volume
4
Journal Issue
1
Date Issued
2021-03-01
Author(s)
Tsai, Chia-Feng
Zhang, Pengfei
Scholten, David
Martin, Kendall
Wang, Yi-Ting
Zhao, Rui
Chrisler, William B
Patel, Dhwani B
Dou, Maowei
Jia, Yuzhi
Reduzzi, Carolina
Liu, Xia
Moore, Ronald J
Burnum-Johnson, Kristin E
MIAO-HSIA LIN  
Hsu, Chuan-Chih
Jacobs, Jon M
Kagan, Jacob
Srivastava, Sudhir
Rodland, Karin D
Steven Wiley, H
Qian, Wei-Jun
Smith, Richard D
Zhu, Ying
Cristofanilli, Massimo
Liu, Tao
Liu, Huiping
Shi, Tujin
DOI
10.1038/s42003-021-01797-9
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/638331
URL
https://api.elsevier.com/content/abstract/scopus_id/85102225901
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.
Type
journal article

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