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Towards a human brain EV atlas: Characteristics of EVs from different brain regions, including small RNA and protein profiles
Extracellular vesicles (EVs) are released from different cell types in the central nervous system (CNS) and play roles in regulating physiological and pathological functions. Although brain-derived EVs (bdEVs) have been successfully collected from brain tissue, there is not yet a “bdEV atlas” of EVs...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197569/ https://www.ncbi.nlm.nih.gov/pubmed/37214955 http://dx.doi.org/10.1101/2023.05.06.539665 |
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author | Huang, Yiyao Arab, Tanina Russell, Ashley E. Mallick, Emily R. Nagaraj, Rajini Gizzie, Evan Redding-Ochoa, Javier Troncoso, Juan C. Pletnikova, Olga Turchinovich, Andrey Routenberg, David A. Witwer, Kenneth W. |
author_facet | Huang, Yiyao Arab, Tanina Russell, Ashley E. Mallick, Emily R. Nagaraj, Rajini Gizzie, Evan Redding-Ochoa, Javier Troncoso, Juan C. Pletnikova, Olga Turchinovich, Andrey Routenberg, David A. Witwer, Kenneth W. |
author_sort | Huang, Yiyao |
collection | PubMed |
description | Extracellular vesicles (EVs) are released from different cell types in the central nervous system (CNS) and play roles in regulating physiological and pathological functions. Although brain-derived EVs (bdEVs) have been successfully collected from brain tissue, there is not yet a “bdEV atlas” of EVs from different brain regions. To address this gap, we separated EVs from eight anatomical brain regions of a single individual and subsequently characterized them by count, size, morphology, and protein and RNA content. The greatest particle yield was from cerebellum, while the fewest particles were recovered from the orbitofrontal, postcentral gyrus, and thalamus regions. EV surface phenotyping indicated that CD81 and CD9 were more abundant than CD63 for all regions. Cell-enriched surface markers varied between brain regions. For example, putative neuronal markers NCAM, CD271, and NRCAM were more abundant in medulla, cerebellum, and occipital regions, respectively. These findings, while restricted to tissues from a single individual, suggest that additional studies are merited to lend more insight into the links between EV heterogeneity and function in the CNS. |
format | Online Article Text |
id | pubmed-10197569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101975692023-05-20 Towards a human brain EV atlas: Characteristics of EVs from different brain regions, including small RNA and protein profiles Huang, Yiyao Arab, Tanina Russell, Ashley E. Mallick, Emily R. Nagaraj, Rajini Gizzie, Evan Redding-Ochoa, Javier Troncoso, Juan C. Pletnikova, Olga Turchinovich, Andrey Routenberg, David A. Witwer, Kenneth W. bioRxiv Article Extracellular vesicles (EVs) are released from different cell types in the central nervous system (CNS) and play roles in regulating physiological and pathological functions. Although brain-derived EVs (bdEVs) have been successfully collected from brain tissue, there is not yet a “bdEV atlas” of EVs from different brain regions. To address this gap, we separated EVs from eight anatomical brain regions of a single individual and subsequently characterized them by count, size, morphology, and protein and RNA content. The greatest particle yield was from cerebellum, while the fewest particles were recovered from the orbitofrontal, postcentral gyrus, and thalamus regions. EV surface phenotyping indicated that CD81 and CD9 were more abundant than CD63 for all regions. Cell-enriched surface markers varied between brain regions. For example, putative neuronal markers NCAM, CD271, and NRCAM were more abundant in medulla, cerebellum, and occipital regions, respectively. These findings, while restricted to tissues from a single individual, suggest that additional studies are merited to lend more insight into the links between EV heterogeneity and function in the CNS. Cold Spring Harbor Laboratory 2023-05-13 /pmc/articles/PMC10197569/ /pubmed/37214955 http://dx.doi.org/10.1101/2023.05.06.539665 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Huang, Yiyao Arab, Tanina Russell, Ashley E. Mallick, Emily R. Nagaraj, Rajini Gizzie, Evan Redding-Ochoa, Javier Troncoso, Juan C. Pletnikova, Olga Turchinovich, Andrey Routenberg, David A. Witwer, Kenneth W. Towards a human brain EV atlas: Characteristics of EVs from different brain regions, including small RNA and protein profiles |
title | Towards a human brain EV atlas: Characteristics of EVs from different brain regions, including small RNA and protein profiles |
title_full | Towards a human brain EV atlas: Characteristics of EVs from different brain regions, including small RNA and protein profiles |
title_fullStr | Towards a human brain EV atlas: Characteristics of EVs from different brain regions, including small RNA and protein profiles |
title_full_unstemmed | Towards a human brain EV atlas: Characteristics of EVs from different brain regions, including small RNA and protein profiles |
title_short | Towards a human brain EV atlas: Characteristics of EVs from different brain regions, including small RNA and protein profiles |
title_sort | towards a human brain ev atlas: characteristics of evs from different brain regions, including small rna and protein profiles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197569/ https://www.ncbi.nlm.nih.gov/pubmed/37214955 http://dx.doi.org/10.1101/2023.05.06.539665 |
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