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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...

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Autores principales: Wang, Xixi, He, Yu, Ye, Yang, Zhao, Xinyu, Deng, Shi, He, Gu, Zhu, Hongxia, Xu, Ningzhi, Liang, Shufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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