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SILAC–based quantitative MS approach for real-time recording protein-mediated cell-cell interactions
In tumor microenvironment, interactions among multiple cell types are critical for cancer progression. To understand the molecular mechanisms of these complex interplays, the secreted protein analysis between malignant cancer cells and the surrounding nonmalignant stroma is a good viewpoint to inves...
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/PMC5981645/ https://www.ncbi.nlm.nih.gov/pubmed/29855483 http://dx.doi.org/10.1038/s41598-018-26262-2 |
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author | Wang, Xixi He, Yu Ye, Yang Zhao, Xinyu Deng, Shi He, Gu Zhu, Hongxia Xu, Ningzhi Liang, Shufang |
author_facet | Wang, Xixi He, Yu Ye, Yang Zhao, Xinyu Deng, Shi He, Gu Zhu, Hongxia Xu, Ningzhi Liang, Shufang |
author_sort | Wang, Xixi |
collection | PubMed |
description | In tumor microenvironment, interactions among multiple cell types are critical for cancer progression. To understand the molecular mechanisms of these complex interplays, the secreted protein analysis between malignant cancer cells and the surrounding nonmalignant stroma is a good viewpoint to investigate cell-cell interactions. Here, we developed two stable isotope labeling of amino acids in cell culture (SILAC)-based mass spectrometry (MS)/MS approaches termed spike-in SILAC and triple-SILAC to quantify changes of protein secretion level in a cell co-cultured system. Within the co-culture system of CT26 and Ana-1 cells, the spike-in SILAC and triple-SILAC MS approaches are sensitive to quantitatively measure protein secretion changes. Three representative quantified proteins (Galectin-1, Cathepsin L1 and Thrombospondin-1) by two SILAC-based MS methods were further validated by Western blotting, and the coming result matched well with SILACs’. We further applied these two SILACs to human cell lines, NCM460 and HT29 co-culture system, for evaluating the feasibility, which confirmed the spike-in and triple SILAC were capable of monitoring the changed secreted proteins of human cell lines. Considering these two strategies in time consuming, sample complexity and proteome coverage, the triple-SILAC way shows more efficiency and economy for real-time recording secreted protein levels in tumor microenvironment. |
format | Online Article Text |
id | pubmed-5981645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59816452018-06-07 SILAC–based quantitative MS approach for real-time recording protein-mediated cell-cell interactions Wang, Xixi He, Yu Ye, Yang Zhao, Xinyu Deng, Shi He, Gu Zhu, Hongxia Xu, Ningzhi Liang, Shufang Sci Rep Article In tumor microenvironment, interactions among multiple cell types are critical for cancer progression. To understand the molecular mechanisms of these complex interplays, the secreted protein analysis between malignant cancer cells and the surrounding nonmalignant stroma is a good viewpoint to investigate cell-cell interactions. Here, we developed two stable isotope labeling of amino acids in cell culture (SILAC)-based mass spectrometry (MS)/MS approaches termed spike-in SILAC and triple-SILAC to quantify changes of protein secretion level in a cell co-cultured system. Within the co-culture system of CT26 and Ana-1 cells, the spike-in SILAC and triple-SILAC MS approaches are sensitive to quantitatively measure protein secretion changes. Three representative quantified proteins (Galectin-1, Cathepsin L1 and Thrombospondin-1) by two SILAC-based MS methods were further validated by Western blotting, and the coming result matched well with SILACs’. We further applied these two SILACs to human cell lines, NCM460 and HT29 co-culture system, for evaluating the feasibility, which confirmed the spike-in and triple SILAC were capable of monitoring the changed secreted proteins of human cell lines. Considering these two strategies in time consuming, sample complexity and proteome coverage, the triple-SILAC way shows more efficiency and economy for real-time recording secreted protein levels in tumor microenvironment. Nature Publishing Group UK 2018-05-31 /pmc/articles/PMC5981645/ /pubmed/29855483 http://dx.doi.org/10.1038/s41598-018-26262-2 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 Wang, Xixi He, Yu Ye, Yang Zhao, Xinyu Deng, Shi He, Gu Zhu, Hongxia Xu, Ningzhi Liang, Shufang SILAC–based quantitative MS approach for real-time recording protein-mediated cell-cell interactions |
title | SILAC–based quantitative MS approach for real-time recording protein-mediated cell-cell interactions |
title_full | SILAC–based quantitative MS approach for real-time recording protein-mediated cell-cell interactions |
title_fullStr | SILAC–based quantitative MS approach for real-time recording protein-mediated cell-cell interactions |
title_full_unstemmed | SILAC–based quantitative MS approach for real-time recording protein-mediated cell-cell interactions |
title_short | SILAC–based quantitative MS approach for real-time recording protein-mediated cell-cell interactions |
title_sort | silac–based quantitative ms approach for real-time recording protein-mediated cell-cell interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981645/ https://www.ncbi.nlm.nih.gov/pubmed/29855483 http://dx.doi.org/10.1038/s41598-018-26262-2 |
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