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Ischemic stroke-related gene expression profiles across species: a meta-analysis

Stroke patients are often left with permanent disabilities with no regenerative treatment options. Unbiased RNA sequencing studies decoding the transcriptional signature of stroked tissue hold promise to identify new potential targets and pathways directed to improve treatment for stroke patients. H...

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Detalles Bibliográficos
Autor principal: Rust, Ruslan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280959/
https://www.ncbi.nlm.nih.gov/pubmed/37337154
http://dx.doi.org/10.1186/s12950-023-00346-x
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author Rust, Ruslan
author_facet Rust, Ruslan
author_sort Rust, Ruslan
collection PubMed
description Stroke patients are often left with permanent disabilities with no regenerative treatment options. Unbiased RNA sequencing studies decoding the transcriptional signature of stroked tissue hold promise to identify new potential targets and pathways directed to improve treatment for stroke patients. Here, gene expression profiles of stroked tissue across different time points, species, and stroke models were compared using NCBI GEO database. In total, 34 datasets from mice, rats, humans, and primates were included, exploring gene expression differences in healthy and stroked brain tissue. Distinct changes in gene expression and pathway enrichment revealed the heterogenicity of the stroke pathology in stroke-related pathways e.g., inflammatory responses, vascular repair, remodelling and cell proliferation and adhesion but also in diverse general, stroke-unrelated pathways that have to be carefully considered when evaluating new promising therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12950-023-00346-x.
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spelling pubmed-102809592023-06-21 Ischemic stroke-related gene expression profiles across species: a meta-analysis Rust, Ruslan J Inflamm (Lond) Brief Report Stroke patients are often left with permanent disabilities with no regenerative treatment options. Unbiased RNA sequencing studies decoding the transcriptional signature of stroked tissue hold promise to identify new potential targets and pathways directed to improve treatment for stroke patients. Here, gene expression profiles of stroked tissue across different time points, species, and stroke models were compared using NCBI GEO database. In total, 34 datasets from mice, rats, humans, and primates were included, exploring gene expression differences in healthy and stroked brain tissue. Distinct changes in gene expression and pathway enrichment revealed the heterogenicity of the stroke pathology in stroke-related pathways e.g., inflammatory responses, vascular repair, remodelling and cell proliferation and adhesion but also in diverse general, stroke-unrelated pathways that have to be carefully considered when evaluating new promising therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12950-023-00346-x. BioMed Central 2023-06-19 /pmc/articles/PMC10280959/ /pubmed/37337154 http://dx.doi.org/10.1186/s12950-023-00346-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Brief Report
Rust, Ruslan
Ischemic stroke-related gene expression profiles across species: a meta-analysis
title Ischemic stroke-related gene expression profiles across species: a meta-analysis
title_full Ischemic stroke-related gene expression profiles across species: a meta-analysis
title_fullStr Ischemic stroke-related gene expression profiles across species: a meta-analysis
title_full_unstemmed Ischemic stroke-related gene expression profiles across species: a meta-analysis
title_short Ischemic stroke-related gene expression profiles across species: a meta-analysis
title_sort ischemic stroke-related gene expression profiles across species: a meta-analysis
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280959/
https://www.ncbi.nlm.nih.gov/pubmed/37337154
http://dx.doi.org/10.1186/s12950-023-00346-x
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