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Proteomic Characterization of the Dynamics of Ischemic Stroke in Mice

[Image: see text] Novel therapies and biomarkers are needed for the treatment of acute ischemic stroke (AIS). This study aimed to provide comprehensive insights into the dynamic proteome changes and underlying molecular mechanisms post-ischemic stroke. TMT-coupled proteomic analysis was conducted on...

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Autores principales: Gu, Rong-Fang, Fang, Terry, Nelson, Ashley, Gyoneva, Stefka, Gao, Benbo, Hedde, Joe, Henry, Kate, Peterson, Emily, Burkly, Linda C., Wei, Ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256414/
https://www.ncbi.nlm.nih.gov/pubmed/34085531
http://dx.doi.org/10.1021/acs.jproteome.1c00259
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author Gu, Rong-Fang
Fang, Terry
Nelson, Ashley
Gyoneva, Stefka
Gao, Benbo
Hedde, Joe
Henry, Kate
Peterson, Emily
Burkly, Linda C.
Wei, Ru
author_facet Gu, Rong-Fang
Fang, Terry
Nelson, Ashley
Gyoneva, Stefka
Gao, Benbo
Hedde, Joe
Henry, Kate
Peterson, Emily
Burkly, Linda C.
Wei, Ru
author_sort Gu, Rong-Fang
collection PubMed
description [Image: see text] Novel therapies and biomarkers are needed for the treatment of acute ischemic stroke (AIS). This study aimed to provide comprehensive insights into the dynamic proteome changes and underlying molecular mechanisms post-ischemic stroke. TMT-coupled proteomic analysis was conducted on mouse brain cortex tissue from five time points up to 4 weeks poststroke in the distal hypoxic-middle cerebral artery occlusion (DH-MCAO) model. We found that nearly half of the detected proteome was altered following stroke, but only ∼8.6% of the changes were at relatively large scales. Clustering on the changed proteome defined four distinct expression patterns characterized by temporal and quantitative changes in innate and adaptive immune response pathways and cytoskeletal and neuronal remodeling. Further analysis on a subset of 309 “top hits”, which temporally responded to stroke with relatively large and sustained changes, revealed that they were mostly secreted proteins, highly correlated to different cortical cytokines, and thereby potential pharmacodynamic biomarker candidates for inflammation-targeting therapies. Closer examination of the top enriched neurophysiologic pathways identified 57 proteins potentially associated with poststroke recovery. Altogether, our study generated a rich dataset with candidate proteins worthy of further validation as biomarkers and/or therapeutic targets for stroke. The proteomics data are available in the PRIDE Archive with identifier PXD025077.
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spelling pubmed-82564142021-07-06 Proteomic Characterization of the Dynamics of Ischemic Stroke in Mice Gu, Rong-Fang Fang, Terry Nelson, Ashley Gyoneva, Stefka Gao, Benbo Hedde, Joe Henry, Kate Peterson, Emily Burkly, Linda C. Wei, Ru J Proteome Res [Image: see text] Novel therapies and biomarkers are needed for the treatment of acute ischemic stroke (AIS). This study aimed to provide comprehensive insights into the dynamic proteome changes and underlying molecular mechanisms post-ischemic stroke. TMT-coupled proteomic analysis was conducted on mouse brain cortex tissue from five time points up to 4 weeks poststroke in the distal hypoxic-middle cerebral artery occlusion (DH-MCAO) model. We found that nearly half of the detected proteome was altered following stroke, but only ∼8.6% of the changes were at relatively large scales. Clustering on the changed proteome defined four distinct expression patterns characterized by temporal and quantitative changes in innate and adaptive immune response pathways and cytoskeletal and neuronal remodeling. Further analysis on a subset of 309 “top hits”, which temporally responded to stroke with relatively large and sustained changes, revealed that they were mostly secreted proteins, highly correlated to different cortical cytokines, and thereby potential pharmacodynamic biomarker candidates for inflammation-targeting therapies. Closer examination of the top enriched neurophysiologic pathways identified 57 proteins potentially associated with poststroke recovery. Altogether, our study generated a rich dataset with candidate proteins worthy of further validation as biomarkers and/or therapeutic targets for stroke. The proteomics data are available in the PRIDE Archive with identifier PXD025077. American Chemical Society 2021-06-04 2021-07-02 /pmc/articles/PMC8256414/ /pubmed/34085531 http://dx.doi.org/10.1021/acs.jproteome.1c00259 Text en © 2021 American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Gu, Rong-Fang
Fang, Terry
Nelson, Ashley
Gyoneva, Stefka
Gao, Benbo
Hedde, Joe
Henry, Kate
Peterson, Emily
Burkly, Linda C.
Wei, Ru
Proteomic Characterization of the Dynamics of Ischemic Stroke in Mice
title Proteomic Characterization of the Dynamics of Ischemic Stroke in Mice
title_full Proteomic Characterization of the Dynamics of Ischemic Stroke in Mice
title_fullStr Proteomic Characterization of the Dynamics of Ischemic Stroke in Mice
title_full_unstemmed Proteomic Characterization of the Dynamics of Ischemic Stroke in Mice
title_short Proteomic Characterization of the Dynamics of Ischemic Stroke in Mice
title_sort proteomic characterization of the dynamics of ischemic stroke in mice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256414/
https://www.ncbi.nlm.nih.gov/pubmed/34085531
http://dx.doi.org/10.1021/acs.jproteome.1c00259
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