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Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells
Analysis of secretomes critically underpins the capacity to understand the mechanisms determining interactions between cells and between cells and their environment. In the context of cancer cell micro-environments, the relevant interactions are recognized to be an important determinant of tumor pro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126392/ https://www.ncbi.nlm.nih.gov/pubmed/29915148 http://dx.doi.org/10.1074/mcp.TIR117.000516 |
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author | Hammond, Dean E. Kumar, J. Dinesh Raymond, Lorna Simpson, Deborah M. Beynon, Robert J. Dockray, Graham J. Varro, Andrea |
author_facet | Hammond, Dean E. Kumar, J. Dinesh Raymond, Lorna Simpson, Deborah M. Beynon, Robert J. Dockray, Graham J. Varro, Andrea |
author_sort | Hammond, Dean E. |
collection | PubMed |
description | Analysis of secretomes critically underpins the capacity to understand the mechanisms determining interactions between cells and between cells and their environment. In the context of cancer cell micro-environments, the relevant interactions are recognized to be an important determinant of tumor progression. Global proteomic analyses of secretomes are often performed at a single time point and frequently identify both classical secreted proteins (possessing an N-terminal signal sequence), as well as many intracellular proteins, the release of which is of uncertain biological significance. Here, we describe a mass spectrometry-based method for stable isotope dynamic labeling of secretomes (SIDLS) that, by dynamic SILAC, discriminates the secretion kinetics of classical secretory proteins and intracellular proteins released from cancer and stromal cells in culture. SIDLS is a robust classifier of the different cellular origins of proteins within the secretome and should be broadly applicable to nonproliferating cells and cells grown in short term culture. |
format | Online Article Text |
id | pubmed-6126392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-61263922018-09-07 Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells Hammond, Dean E. Kumar, J. Dinesh Raymond, Lorna Simpson, Deborah M. Beynon, Robert J. Dockray, Graham J. Varro, Andrea Mol Cell Proteomics Technological Innovation and Resources Analysis of secretomes critically underpins the capacity to understand the mechanisms determining interactions between cells and between cells and their environment. In the context of cancer cell micro-environments, the relevant interactions are recognized to be an important determinant of tumor progression. Global proteomic analyses of secretomes are often performed at a single time point and frequently identify both classical secreted proteins (possessing an N-terminal signal sequence), as well as many intracellular proteins, the release of which is of uncertain biological significance. Here, we describe a mass spectrometry-based method for stable isotope dynamic labeling of secretomes (SIDLS) that, by dynamic SILAC, discriminates the secretion kinetics of classical secretory proteins and intracellular proteins released from cancer and stromal cells in culture. SIDLS is a robust classifier of the different cellular origins of proteins within the secretome and should be broadly applicable to nonproliferating cells and cells grown in short term culture. The American Society for Biochemistry and Molecular Biology 2018-09 2018-06-18 /pmc/articles/PMC6126392/ /pubmed/29915148 http://dx.doi.org/10.1074/mcp.TIR117.000516 Text en © 2018 by The American Society for Biochemistry and Molecular Biology, Inc. Author's Choice—Final version open access under the terms of the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0) . |
spellingShingle | Technological Innovation and Resources Hammond, Dean E. Kumar, J. Dinesh Raymond, Lorna Simpson, Deborah M. Beynon, Robert J. Dockray, Graham J. Varro, Andrea Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells |
title | Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells |
title_full | Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells |
title_fullStr | Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells |
title_full_unstemmed | Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells |
title_short | Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells |
title_sort | stable isotope dynamic labeling of secretomes (sidls) identifies authentic secretory proteins released by cancer and stromal cells |
topic | Technological Innovation and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126392/ https://www.ncbi.nlm.nih.gov/pubmed/29915148 http://dx.doi.org/10.1074/mcp.TIR117.000516 |
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