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Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke

Ischemic stroke, which accounts for 87% of all strokes, constitutes the leading cause of morbidity and mortality in China. Although the genetics and epigenetics of stroke have been extensively investigated, few studies have examined their relationships at different stages of stroke. This study asses...

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Autores principales: Cai, You, Zhang, Yufen, Ke, Xiao, Guo, Yu, Yao, Chengye, Tang, Na, Pang, Pei, Xie, Gangcai, Fang, Li, Zhang, Zhe, Li, Jincheng, Fan, Yixian, He, Ximiao, Wen, Ruojian, Pei, Lei, Lu, Youming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798056/
https://www.ncbi.nlm.nih.gov/pubmed/31681398
http://dx.doi.org/10.3389/fgene.2019.00814
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author Cai, You
Zhang, Yufen
Ke, Xiao
Guo, Yu
Yao, Chengye
Tang, Na
Pang, Pei
Xie, Gangcai
Fang, Li
Zhang, Zhe
Li, Jincheng
Fan, Yixian
He, Ximiao
Wen, Ruojian
Pei, Lei
Lu, Youming
author_facet Cai, You
Zhang, Yufen
Ke, Xiao
Guo, Yu
Yao, Chengye
Tang, Na
Pang, Pei
Xie, Gangcai
Fang, Li
Zhang, Zhe
Li, Jincheng
Fan, Yixian
He, Ximiao
Wen, Ruojian
Pei, Lei
Lu, Youming
author_sort Cai, You
collection PubMed
description Ischemic stroke, which accounts for 87% of all strokes, constitutes the leading cause of morbidity and mortality in China. Although the genetics and epigenetics of stroke have been extensively investigated, few studies have examined their relationships at different stages of stroke. This study assessed the characteristics of transcriptome changes at different stages of ischemic stroke using a mouse model of transient middle cerebral artery occlusion (tMCAO) and bioinformatics analyses. Cerebral cortex tissues from tMCAO mice at days 1, 3, 7, 14, and 28 were removed for RNA-Seq and small RNA-Seq library construction, sequencing, and bioinformatics analysis. We identified differentially expressed (DE) genes and miRNAs and revealed an association of the up-regulated or down-regulated DEmiRNAs with the correspondingly altered DEgene targets at each time point. In addition, different biological pathways were activated at different time points; thus, three groups of miRNAs were verified that may represent potential clinical biomarkers corresponding to days 1, 3, and 7 after ischemic stroke. Notably, this represents the first functional association of some of these miRNAs with stroke, e.g., miR-2137, miR-874-5p, and miR-5099. Together, our findings lay the foundation for the transition from a single-point, single-drug stroke treatment approach to multiple-time-point multi-drug combination therapies.
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spelling pubmed-67980562019-11-01 Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke Cai, You Zhang, Yufen Ke, Xiao Guo, Yu Yao, Chengye Tang, Na Pang, Pei Xie, Gangcai Fang, Li Zhang, Zhe Li, Jincheng Fan, Yixian He, Ximiao Wen, Ruojian Pei, Lei Lu, Youming Front Genet Genetics Ischemic stroke, which accounts for 87% of all strokes, constitutes the leading cause of morbidity and mortality in China. Although the genetics and epigenetics of stroke have been extensively investigated, few studies have examined their relationships at different stages of stroke. This study assessed the characteristics of transcriptome changes at different stages of ischemic stroke using a mouse model of transient middle cerebral artery occlusion (tMCAO) and bioinformatics analyses. Cerebral cortex tissues from tMCAO mice at days 1, 3, 7, 14, and 28 were removed for RNA-Seq and small RNA-Seq library construction, sequencing, and bioinformatics analysis. We identified differentially expressed (DE) genes and miRNAs and revealed an association of the up-regulated or down-regulated DEmiRNAs with the correspondingly altered DEgene targets at each time point. In addition, different biological pathways were activated at different time points; thus, three groups of miRNAs were verified that may represent potential clinical biomarkers corresponding to days 1, 3, and 7 after ischemic stroke. Notably, this represents the first functional association of some of these miRNAs with stroke, e.g., miR-2137, miR-874-5p, and miR-5099. Together, our findings lay the foundation for the transition from a single-point, single-drug stroke treatment approach to multiple-time-point multi-drug combination therapies. Frontiers Media S.A. 2019-09-24 /pmc/articles/PMC6798056/ /pubmed/31681398 http://dx.doi.org/10.3389/fgene.2019.00814 Text en Copyright © 2019 Cai, Zhang, Ke, Guo, Yao, Tang, Pang, Xie, Fang, Zhang, Li, Fan, He, Wen, Pei and Lu http://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 Genetics
Cai, You
Zhang, Yufen
Ke, Xiao
Guo, Yu
Yao, Chengye
Tang, Na
Pang, Pei
Xie, Gangcai
Fang, Li
Zhang, Zhe
Li, Jincheng
Fan, Yixian
He, Ximiao
Wen, Ruojian
Pei, Lei
Lu, Youming
Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke
title Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke
title_full Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke
title_fullStr Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke
title_full_unstemmed Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke
title_short Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke
title_sort transcriptome sequencing unravels potential biomarkers at different stages of cerebral ischemic stroke
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798056/
https://www.ncbi.nlm.nih.gov/pubmed/31681398
http://dx.doi.org/10.3389/fgene.2019.00814
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