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Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA

Discovering the secrets of diseases from tear extracellular vesicles (EVs) is well-recognized and appreciated. However, a precise understanding of the interaction network between EV populations and their biogenesis from our body requires more in-depth and systematic analysis. Here, we report the bio...

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Autores principales: Hu, Liang, Liu, Xiaoling, Zheng, Qiaolan, Chen, Wuhe, Xu, Hao, Li, Hengrui, Luo, Jiaxin, Yang, Rui, Mao, Xulong, Wang, Siyao, Chen, Tucan, Lee, Luke P., Liu, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017052/
https://www.ncbi.nlm.nih.gov/pubmed/36921051
http://dx.doi.org/10.1126/sciadv.adg1137
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author Hu, Liang
Liu, Xiaoling
Zheng, Qiaolan
Chen, Wuhe
Xu, Hao
Li, Hengrui
Luo, Jiaxin
Yang, Rui
Mao, Xulong
Wang, Siyao
Chen, Tucan
Lee, Luke P.
Liu, Fei
author_facet Hu, Liang
Liu, Xiaoling
Zheng, Qiaolan
Chen, Wuhe
Xu, Hao
Li, Hengrui
Luo, Jiaxin
Yang, Rui
Mao, Xulong
Wang, Siyao
Chen, Tucan
Lee, Luke P.
Liu, Fei
author_sort Hu, Liang
collection PubMed
description Discovering the secrets of diseases from tear extracellular vesicles (EVs) is well-recognized and appreciated. However, a precise understanding of the interaction network between EV populations and their biogenesis from our body requires more in-depth and systematic analysis. Here, we report the biological profiles of different-size tear EV subsets from healthy individuals and the origins of EV proteins. We have identified about 1800 proteins and revealed the preferential differences in the biogenesis among distinct subsets. We observe that eye-related proteins that maintain retinal homeostasis and regulate inflammation are preferentially enriched in medium-size EVs (100 to 200 nm) fractions. Using universal analysis in combination with the Human Protein Atlas consensus dataset, we found the genesis of tear EV proteins with 37 tissues and 79 cell types. The proteins related to retinal neuronal cells, glial cells, and blood and immune cells are selectively enriched among EV subsets. Our studies in heterogeneous tear EVs provide building blocks for future transformative precision molecular diagnostics and therapeutics.
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spelling pubmed-100170522023-03-16 Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA Hu, Liang Liu, Xiaoling Zheng, Qiaolan Chen, Wuhe Xu, Hao Li, Hengrui Luo, Jiaxin Yang, Rui Mao, Xulong Wang, Siyao Chen, Tucan Lee, Luke P. Liu, Fei Sci Adv Biomedicine and Life Sciences Discovering the secrets of diseases from tear extracellular vesicles (EVs) is well-recognized and appreciated. However, a precise understanding of the interaction network between EV populations and their biogenesis from our body requires more in-depth and systematic analysis. Here, we report the biological profiles of different-size tear EV subsets from healthy individuals and the origins of EV proteins. We have identified about 1800 proteins and revealed the preferential differences in the biogenesis among distinct subsets. We observe that eye-related proteins that maintain retinal homeostasis and regulate inflammation are preferentially enriched in medium-size EVs (100 to 200 nm) fractions. Using universal analysis in combination with the Human Protein Atlas consensus dataset, we found the genesis of tear EV proteins with 37 tissues and 79 cell types. The proteins related to retinal neuronal cells, glial cells, and blood and immune cells are selectively enriched among EV subsets. Our studies in heterogeneous tear EVs provide building blocks for future transformative precision molecular diagnostics and therapeutics. American Association for the Advancement of Science 2023-03-15 /pmc/articles/PMC10017052/ /pubmed/36921051 http://dx.doi.org/10.1126/sciadv.adg1137 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Biomedicine and Life Sciences
Hu, Liang
Liu, Xiaoling
Zheng, Qiaolan
Chen, Wuhe
Xu, Hao
Li, Hengrui
Luo, Jiaxin
Yang, Rui
Mao, Xulong
Wang, Siyao
Chen, Tucan
Lee, Luke P.
Liu, Fei
Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA
title Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA
title_full Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA
title_fullStr Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA
title_full_unstemmed Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA
title_short Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA
title_sort interaction network of extracellular vesicles building universal analysis via eye tears: inebula
topic Biomedicine and Life Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017052/
https://www.ncbi.nlm.nih.gov/pubmed/36921051
http://dx.doi.org/10.1126/sciadv.adg1137
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