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Cell-of-origin–specific proteomics of extracellular vesicles
The ability to assign cellular origin to low-abundance secreted factors in extracellular vesicles (EVs) would greatly facilitate the analysis of paracrine-mediated signaling. Here, we report a method, named selective isolation of extracellular vesicles (SIEVE), which uses cell type-specific proteome...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119638/ https://www.ncbi.nlm.nih.gov/pubmed/37091541 http://dx.doi.org/10.1093/pnasnexus/pgad107 |
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author | Kehrloesser, Sebastian Cast, Oliver Elliott, Thomas S Ernst, Russell J Machel, Anne C Chen, Jia-Xuan Chin, Jason W Miller, Martin L |
author_facet | Kehrloesser, Sebastian Cast, Oliver Elliott, Thomas S Ernst, Russell J Machel, Anne C Chen, Jia-Xuan Chin, Jason W Miller, Martin L |
author_sort | Kehrloesser, Sebastian |
collection | PubMed |
description | The ability to assign cellular origin to low-abundance secreted factors in extracellular vesicles (EVs) would greatly facilitate the analysis of paracrine-mediated signaling. Here, we report a method, named selective isolation of extracellular vesicles (SIEVE), which uses cell type-specific proteome labeling via stochastic orthogonal recoding of translation (SORT) to install bioorthogonal reactive groups into the proteins derived from the cells targeted for labeling. We establish the native purification of intact EVs from a target cell, via a bioorthogonal tetrazine ligation, leading to copurification of the largely unlabeled EV proteome from the same cell. SIEVE enables capture of EV proteins at levels comparable with those obtained by antibody-based methods, which capture all EVs regardless of cellular origin, and at levels 20× higher than direct capture of SORT-labeled proteins. Using proteomic analysis, we analyze nonlabeled cargo proteins of EVs and show that the enhanced sensitivity of SIEVE allows for unbiased and comprehensive analysis of EV proteins from subpopulations of cells as well as for cell-specific EV proteomics in complex coculture systems. SIEVE can be applied with high efficiency in a diverse range of existing model systems for cell–cell communication and has direct applications for cell-of-origin EV analysis and for protein biomarker discovery. |
format | Online Article Text |
id | pubmed-10119638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101196382023-04-22 Cell-of-origin–specific proteomics of extracellular vesicles Kehrloesser, Sebastian Cast, Oliver Elliott, Thomas S Ernst, Russell J Machel, Anne C Chen, Jia-Xuan Chin, Jason W Miller, Martin L PNAS Nexus Biological, Health, and Medical Sciences The ability to assign cellular origin to low-abundance secreted factors in extracellular vesicles (EVs) would greatly facilitate the analysis of paracrine-mediated signaling. Here, we report a method, named selective isolation of extracellular vesicles (SIEVE), which uses cell type-specific proteome labeling via stochastic orthogonal recoding of translation (SORT) to install bioorthogonal reactive groups into the proteins derived from the cells targeted for labeling. We establish the native purification of intact EVs from a target cell, via a bioorthogonal tetrazine ligation, leading to copurification of the largely unlabeled EV proteome from the same cell. SIEVE enables capture of EV proteins at levels comparable with those obtained by antibody-based methods, which capture all EVs regardless of cellular origin, and at levels 20× higher than direct capture of SORT-labeled proteins. Using proteomic analysis, we analyze nonlabeled cargo proteins of EVs and show that the enhanced sensitivity of SIEVE allows for unbiased and comprehensive analysis of EV proteins from subpopulations of cells as well as for cell-specific EV proteomics in complex coculture systems. SIEVE can be applied with high efficiency in a diverse range of existing model systems for cell–cell communication and has direct applications for cell-of-origin EV analysis and for protein biomarker discovery. Oxford University Press 2023-04-03 /pmc/articles/PMC10119638/ /pubmed/37091541 http://dx.doi.org/10.1093/pnasnexus/pgad107 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biological, Health, and Medical Sciences Kehrloesser, Sebastian Cast, Oliver Elliott, Thomas S Ernst, Russell J Machel, Anne C Chen, Jia-Xuan Chin, Jason W Miller, Martin L Cell-of-origin–specific proteomics of extracellular vesicles |
title | Cell-of-origin–specific proteomics of extracellular vesicles |
title_full | Cell-of-origin–specific proteomics of extracellular vesicles |
title_fullStr | Cell-of-origin–specific proteomics of extracellular vesicles |
title_full_unstemmed | Cell-of-origin–specific proteomics of extracellular vesicles |
title_short | Cell-of-origin–specific proteomics of extracellular vesicles |
title_sort | cell-of-origin–specific proteomics of extracellular vesicles |
topic | Biological, Health, and Medical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119638/ https://www.ncbi.nlm.nih.gov/pubmed/37091541 http://dx.doi.org/10.1093/pnasnexus/pgad107 |
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