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

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 p...

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Autores principales: 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., Lin, Miao-Hsia, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921383/
https://www.ncbi.nlm.nih.gov/pubmed/33649493
http://dx.doi.org/10.1038/s42003-021-01797-9
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author 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.
Lin, Miao-Hsia
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
author_facet 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.
Lin, Miao-Hsia
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
author_sort Tsai, Chia-Feng
collection PubMed
description 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.
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spelling pubmed-79213832021-03-12 Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics 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. Lin, Miao-Hsia 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 Commun Biol Article 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. Nature Publishing Group UK 2021-03-01 /pmc/articles/PMC7921383/ /pubmed/33649493 http://dx.doi.org/10.1038/s42003-021-01797-9 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
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.
Lin, Miao-Hsia
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
Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics
title Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics
title_full Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics
title_fullStr Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics
title_full_unstemmed Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics
title_short Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics
title_sort surfactant-assisted one-pot sample preparation for label-free single-cell proteomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921383/
https://www.ncbi.nlm.nih.gov/pubmed/33649493
http://dx.doi.org/10.1038/s42003-021-01797-9
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