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Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies

Extracellular vesicles (EVs) derived from pleural effusion (PE) is emerging as disease biomarkers. However, the methods for isolation of EVs from PE (pEVs) were rarely studied. In our study, three methods for isolating pEVs of lung cancer patients were compared, including ultracentrifugation (UC), a...

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Autores principales: Yao, Xue, Liao, Baixue, Chen, Feng, Liu, Lüye, Wu, Kaiwen, Hao, Yaying, Li, Yanping, Wang, Yuebin, Fan, Ruiling, Yin, Jun, Liu, Lei, Guo, Yuanbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130534/
https://www.ncbi.nlm.nih.gov/pubmed/37122867
http://dx.doi.org/10.3389/fbioe.2023.1108952
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author Yao, Xue
Liao, Baixue
Chen, Feng
Liu, Lüye
Wu, Kaiwen
Hao, Yaying
Li, Yanping
Wang, Yuebin
Fan, Ruiling
Yin, Jun
Liu, Lei
Guo, Yuanbiao
author_facet Yao, Xue
Liao, Baixue
Chen, Feng
Liu, Lüye
Wu, Kaiwen
Hao, Yaying
Li, Yanping
Wang, Yuebin
Fan, Ruiling
Yin, Jun
Liu, Lei
Guo, Yuanbiao
author_sort Yao, Xue
collection PubMed
description Extracellular vesicles (EVs) derived from pleural effusion (PE) is emerging as disease biomarkers. However, the methods for isolation of EVs from PE (pEVs) were rarely studied. In our study, three methods for isolating pEVs of lung cancer patients were compared, including ultracentrifugation (UC), a combination of UC and size exclusion chromatography (UC-SEC) and a combination of UC and density gradient ultracentrifugation (UC-DGU). The subpopulation of pEVs was identified by nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), Western blotting (WB) and nano-flow cytometry (nFCM). Additionally, the proteomic landscape of pEVs was analyzed by Label-free proteomics. The results showed that, compared with UC and UC-DGU, the UC-SEC method separated pEVs with the highest purity. In the proteomic analysis, on average, 1595 proteins were identified in the pEVs isolated by UC-SEC, much more than pEVs isolated by UC (1222) or UC-DGU (807). Furthermore, approximately 90% of identified proteins in each method were found in the EVs public database ExoCarta. Consistent with this, GO annotation indicated that the core proteins identified in each method were mainly enriched in “extracellular exosome.” Many of the top 100 proteins with high expression in each method were suggested as protein markers to validate the presence of EVs in the MISEV2018 guidelines. In addition, combined with lung tissue-specific proteins and vesicular membrane proteins, we screened out and validated several novel protein markers (CD11C, HLA DPA1 and HLA DRB1), which were enriched in pEVs rather than in plasma EVs. In conclusion, our study shows that the method of UC-SEC could significantly improve the purity of EVs and the performance of mass spectrometry-based proteomic profiling in analyzing pEVs. The exosomal proteins CD11C, HLA DPA1 and HLA DRB1 may act as potential markers of pEVs. The proteomic analysis of pEVs provides important information and new ideas for studying diseases complicated with PE.
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spelling pubmed-101305342023-04-27 Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies Yao, Xue Liao, Baixue Chen, Feng Liu, Lüye Wu, Kaiwen Hao, Yaying Li, Yanping Wang, Yuebin Fan, Ruiling Yin, Jun Liu, Lei Guo, Yuanbiao Front Bioeng Biotechnol Bioengineering and Biotechnology Extracellular vesicles (EVs) derived from pleural effusion (PE) is emerging as disease biomarkers. However, the methods for isolation of EVs from PE (pEVs) were rarely studied. In our study, three methods for isolating pEVs of lung cancer patients were compared, including ultracentrifugation (UC), a combination of UC and size exclusion chromatography (UC-SEC) and a combination of UC and density gradient ultracentrifugation (UC-DGU). The subpopulation of pEVs was identified by nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), Western blotting (WB) and nano-flow cytometry (nFCM). Additionally, the proteomic landscape of pEVs was analyzed by Label-free proteomics. The results showed that, compared with UC and UC-DGU, the UC-SEC method separated pEVs with the highest purity. In the proteomic analysis, on average, 1595 proteins were identified in the pEVs isolated by UC-SEC, much more than pEVs isolated by UC (1222) or UC-DGU (807). Furthermore, approximately 90% of identified proteins in each method were found in the EVs public database ExoCarta. Consistent with this, GO annotation indicated that the core proteins identified in each method were mainly enriched in “extracellular exosome.” Many of the top 100 proteins with high expression in each method were suggested as protein markers to validate the presence of EVs in the MISEV2018 guidelines. In addition, combined with lung tissue-specific proteins and vesicular membrane proteins, we screened out and validated several novel protein markers (CD11C, HLA DPA1 and HLA DRB1), which were enriched in pEVs rather than in plasma EVs. In conclusion, our study shows that the method of UC-SEC could significantly improve the purity of EVs and the performance of mass spectrometry-based proteomic profiling in analyzing pEVs. The exosomal proteins CD11C, HLA DPA1 and HLA DRB1 may act as potential markers of pEVs. The proteomic analysis of pEVs provides important information and new ideas for studying diseases complicated with PE. Frontiers Media S.A. 2023-04-12 /pmc/articles/PMC10130534/ /pubmed/37122867 http://dx.doi.org/10.3389/fbioe.2023.1108952 Text en Copyright © 2023 Yao, Liao, Chen, Liu, Wu, Hao, Li, Wang, Fan, Yin, Liu and Guo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Yao, Xue
Liao, Baixue
Chen, Feng
Liu, Lüye
Wu, Kaiwen
Hao, Yaying
Li, Yanping
Wang, Yuebin
Fan, Ruiling
Yin, Jun
Liu, Lei
Guo, Yuanbiao
Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies
title Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies
title_full Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies
title_fullStr Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies
title_full_unstemmed Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies
title_short Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies
title_sort comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130534/
https://www.ncbi.nlm.nih.gov/pubmed/37122867
http://dx.doi.org/10.3389/fbioe.2023.1108952
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