Nanodroplet processing platform for deep and quantitative proteome profiling of 10-100 mammalian cells

被引:435
作者
Zhu, Ying [1 ]
Piehowski, Paul D. [2 ]
Zhao, Rui [1 ]
Chen, Jing [3 ]
Shen, Yufeng [2 ]
Moore, Ronald J. [2 ]
Shukla, Anil K. [2 ]
Petyuk, Vladislav A. [2 ]
Campbell-Thompson, Martha [3 ]
Mathews, Clayton E. [3 ]
Smith, Richard D. [2 ]
Qian, Wei-Jun [2 ]
Kelly, Ryan T. [1 ]
机构
[1] Pacific Northwest Natl Lab, Environm Mol Sci Lab, Richland, WA 99354 USA
[2] Pacific Northwest Natl Lab, Div Biol Sci, Richland, WA 99354 USA
[3] Univ Florida, Dept Pathol Immunol & Lab Med, Gainesville, FL 32611 USA
基金
美国国家卫生研究院;
关键词
MASS-SPECTROMETRY; COMPUTATIONAL PLATFORM; SHOTGUN PROTEOMICS; DROPLET ARRAY; RNA-SEQ; HETEROGENEITY; DIGESTION; PROTEINS; TISSUES; SAMPLE;
D O I
10.1038/s41467-018-03367-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Nanoscale or single-cell technologies are critical for biomedical applications. However, current mass spectrometry (MS)-based proteomic approaches require samples comprising a minimum of thousands of cells to provide in-depth profiling. Here, we report the development of a nanoPOTS (nanodroplet processing in one pot for trace samples) platform for small cell population proteomics analysis. NanoPOTS enhances the efficiency and recovery of sample processing by downscaling processing volumes to <200 nL to minimize surface losses. When combined with ultrasensitive liquid chromatography-MS, nanoPOTS allows identification of similar to 1500 to similar to 3000 proteins from similar to 10 to similar to 140 cells, respectively. By incorporating the Match Between Runs algorithm of MaxQuant, >3000 proteins are consistently identified from as few as 10 cells. Furthermore, we demonstrate quantification of similar to 2400 proteins from single human pancreatic islet thin sections from type 1 diabetic and control donors, illustrating the application of nanoPOTS for spatially resolved proteome measurements from clinical tissues.
引用
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页数:10
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