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Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells
There is an unmet technical challenge for mass spectrometry (MS)-based proteomic analysis of single mammalian cells. Quantitative proteomic analysis of single cells has been previously achieved by antibody-based immunoassays but is limited by the availability of high-quality antibodies. Herein we re...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123794/ https://www.ncbi.nlm.nih.gov/pubmed/30271983 http://dx.doi.org/10.1038/s42003-018-0107-6 |
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author | Shi, Tujin Gaffrey, Matthew J. Fillmore, Thomas L. Nicora, Carrie D. Yi, Lian Zhang, Pengfei Shukla, Anil K. Wiley, H. Steven Rodland, Karin D. Liu, Tao Smith, Richard D. Qian, Wei-Jun |
author_facet | Shi, Tujin Gaffrey, Matthew J. Fillmore, Thomas L. Nicora, Carrie D. Yi, Lian Zhang, Pengfei Shukla, Anil K. Wiley, H. Steven Rodland, Karin D. Liu, Tao Smith, Richard D. Qian, Wei-Jun |
author_sort | Shi, Tujin |
collection | PubMed |
description | There is an unmet technical challenge for mass spectrometry (MS)-based proteomic analysis of single mammalian cells. Quantitative proteomic analysis of single cells has been previously achieved by antibody-based immunoassays but is limited by the availability of high-quality antibodies. Herein we report a facile targeted MS-based proteomics method, termed cPRISM-SRM (carrier-assisted high-pressure, high-resolution separations with intelligent selection and multiplexing coupled to selected reaction monitoring), for reliable analysis of low numbers of mammalian cells. The method capitalizes on using “carrier protein” to assist processing of low numbers of cells with minimal loss, high-resolution PRISM separation for target peptide enrichment, and sensitive SRM for protein quantification. We have demonstrated that cPRISM-SRM has sufficient sensitivity to quantify proteins expressed at ≥200,000 copies per cell at the single-cell level and ≥3000 copies per cell in 100 mammalian cells. We envision that with further improvement cPRISM-SRM has the potential to move toward targeted MS-based single-cell proteomics. |
format | Online Article Text |
id | pubmed-6123794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61237942018-09-28 Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells Shi, Tujin Gaffrey, Matthew J. Fillmore, Thomas L. Nicora, Carrie D. Yi, Lian Zhang, Pengfei Shukla, Anil K. Wiley, H. Steven Rodland, Karin D. Liu, Tao Smith, Richard D. Qian, Wei-Jun Commun Biol Article There is an unmet technical challenge for mass spectrometry (MS)-based proteomic analysis of single mammalian cells. Quantitative proteomic analysis of single cells has been previously achieved by antibody-based immunoassays but is limited by the availability of high-quality antibodies. Herein we report a facile targeted MS-based proteomics method, termed cPRISM-SRM (carrier-assisted high-pressure, high-resolution separations with intelligent selection and multiplexing coupled to selected reaction monitoring), for reliable analysis of low numbers of mammalian cells. The method capitalizes on using “carrier protein” to assist processing of low numbers of cells with minimal loss, high-resolution PRISM separation for target peptide enrichment, and sensitive SRM for protein quantification. We have demonstrated that cPRISM-SRM has sufficient sensitivity to quantify proteins expressed at ≥200,000 copies per cell at the single-cell level and ≥3000 copies per cell in 100 mammalian cells. We envision that with further improvement cPRISM-SRM has the potential to move toward targeted MS-based single-cell proteomics. Nature Publishing Group UK 2018-08-06 /pmc/articles/PMC6123794/ /pubmed/30271983 http://dx.doi.org/10.1038/s42003-018-0107-6 Text en © The Author(s) 2018 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 Shi, Tujin Gaffrey, Matthew J. Fillmore, Thomas L. Nicora, Carrie D. Yi, Lian Zhang, Pengfei Shukla, Anil K. Wiley, H. Steven Rodland, Karin D. Liu, Tao Smith, Richard D. Qian, Wei-Jun Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells |
title | Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells |
title_full | Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells |
title_fullStr | Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells |
title_full_unstemmed | Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells |
title_short | Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells |
title_sort | facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123794/ https://www.ncbi.nlm.nih.gov/pubmed/30271983 http://dx.doi.org/10.1038/s42003-018-0107-6 |
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