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

Ying Zhu, Paul D. Piehowski, Rui Zhao, Jing Chen, Yufeng Shen, Ronald J. Moore, Anil K. Shukla, Vladislav A. Petyuk, Martha Campbell-Thompson, Clayton E. Mathews, Richard D. Smith, Wei-Jun Qian and Ryan T. Kelly ()
Additional contact information
Ying Zhu: Pacific Northwest National Laboratory
Paul D. Piehowski: Pacific Northwest National Laboratory
Rui Zhao: Pacific Northwest National Laboratory
Jing Chen: University of Florida
Yufeng Shen: Pacific Northwest National Laboratory
Ronald J. Moore: Pacific Northwest National Laboratory
Anil K. Shukla: Pacific Northwest National Laboratory
Vladislav A. Petyuk: Pacific Northwest National Laboratory
Martha Campbell-Thompson: University of Florida
Clayton E. Mathews: University of Florida
Richard D. Smith: Pacific Northwest National Laboratory
Wei-Jun Qian: Pacific Northwest National Laboratory
Ryan T. Kelly: Pacific Northwest National Laboratory

Nature Communications, 2018, vol. 9, issue 1, 1-10

Abstract: Abstract 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 3000 proteins are consistently identified from as few as 10 cells. Furthermore, we demonstrate quantification of ~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.

Date: 2018
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DOI: 10.1038/s41467-018-03367-w

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