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Autophagy-related gene microarray and bioinformatics analysis for ischemic stroke detection
Ischemic stroke (IS) is characterized by high morbidity and poor prognosis. However, the mechanisms of IS induced injury are still poorly understood. The main aim of this study is to explore the role of autophagy in IS. Ten pairs of whole blood samples of IS patients and matched controls were includ...
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Published in: | Biochemical and biophysical research communications 2017-07, Vol.489 (1), p.48-55 |
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description | Ischemic stroke (IS) is characterized by high morbidity and poor prognosis. However, the mechanisms of IS induced injury are still poorly understood. The main aim of this study is to explore the role of autophagy in IS. Ten pairs of whole blood samples of IS patients and matched controls were included to select differential expressed genes (DE genes) by autophagy-related functional gene microarray analysis. And then, one hundred and fifty pairs of whole blood samples of IS patients and matched controls were included to validate the DE genes. Moreover, Gene Ontology (GO) analyses and Pathway analyses were also performed based on the DE gene results. Our results indicated that the co-regulation of autophagy and apoptosis took part in IS-induced injuries, and mitochondrial autophagy and apoptosis played a crucial role in this process. Furthermore, lysosome, protein kinase and endopeptidase also participated in IS. These findings clarified the role of mitochondrial autophagy and apoptosis in ischemic stroke and provided more important biomarkers for the prevention diagnosis and therapeutic implications in IS.
•Blood samples were used to identify biomarkers of IS with autophagy microarray.•Results of GO analysis showed that the prominent cellular component was lysosome.•Protein kinase and endopeptidase were the prominent molecular functions.•Apoptosis pathway was the most enriched pathway.•Mito-autophagy and apoptosis play a crucial role in IS-induced injury. |
doi_str_mv | 10.1016/j.bbrc.2017.05.099 |
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•Blood samples were used to identify biomarkers of IS with autophagy microarray.•Results of GO analysis showed that the prominent cellular component was lysosome.•Protein kinase and endopeptidase were the prominent molecular functions.•Apoptosis pathway was the most enriched pathway.•Mito-autophagy and apoptosis play a crucial role in IS-induced injury.</description><identifier>ISSN: 0006-291X</identifier><identifier>EISSN: 1090-2104</identifier><identifier>DOI: 10.1016/j.bbrc.2017.05.099</identifier><identifier>PMID: 28528975</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Autophagy ; Autophagy - genetics ; Brain Ischemia - genetics ; Brain Ischemia - pathology ; Case-Control Studies ; Case-control study ; Computational Biology ; Female ; Gene Expression Profiling ; Gene microarray ; GO analysis ; Humans ; Ischemic stroke ; Male ; Middle Aged ; Pathway analysis ; Polymerase Chain Reaction ; Stroke - genetics ; Stroke - pathology</subject><ispartof>Biochemical and biophysical research communications, 2017-07, Vol.489 (1), p.48-55</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-5ce001034ebe428b3f77d284af26b14048cf50ef44e15e41ce259e122b612e153</citedby><cites>FETCH-LOGICAL-c400t-5ce001034ebe428b3f77d284af26b14048cf50ef44e15e41ce259e122b612e153</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28528975$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Yinsheng</creatorcontrib><creatorcontrib>Ma, Yue</creatorcontrib><creatorcontrib>Zhang, Yanwei</creatorcontrib><creatorcontrib>Zhou, Li</creatorcontrib><creatorcontrib>Huang, Suli</creatorcontrib><creatorcontrib>Wen, Ying</creatorcontrib><creatorcontrib>Zou, Fei</creatorcontrib><creatorcontrib>Cheng, Jinquan</creatorcontrib><title>Autophagy-related gene microarray and bioinformatics analysis for ischemic stroke detection</title><title>Biochemical and biophysical research communications</title><addtitle>Biochem Biophys Res Commun</addtitle><description>Ischemic stroke (IS) is characterized by high morbidity and poor prognosis. However, the mechanisms of IS induced injury are still poorly understood. The main aim of this study is to explore the role of autophagy in IS. Ten pairs of whole blood samples of IS patients and matched controls were included to select differential expressed genes (DE genes) by autophagy-related functional gene microarray analysis. And then, one hundred and fifty pairs of whole blood samples of IS patients and matched controls were included to validate the DE genes. Moreover, Gene Ontology (GO) analyses and Pathway analyses were also performed based on the DE gene results. Our results indicated that the co-regulation of autophagy and apoptosis took part in IS-induced injuries, and mitochondrial autophagy and apoptosis played a crucial role in this process. Furthermore, lysosome, protein kinase and endopeptidase also participated in IS. These findings clarified the role of mitochondrial autophagy and apoptosis in ischemic stroke and provided more important biomarkers for the prevention diagnosis and therapeutic implications in IS.
•Blood samples were used to identify biomarkers of IS with autophagy microarray.•Results of GO analysis showed that the prominent cellular component was lysosome.•Protein kinase and endopeptidase were the prominent molecular functions.•Apoptosis pathway was the most enriched pathway.•Mito-autophagy and apoptosis play a crucial role in IS-induced injury.</description><subject>Aged</subject><subject>Autophagy</subject><subject>Autophagy - genetics</subject><subject>Brain Ischemia - genetics</subject><subject>Brain Ischemia - pathology</subject><subject>Case-Control Studies</subject><subject>Case-control study</subject><subject>Computational Biology</subject><subject>Female</subject><subject>Gene Expression Profiling</subject><subject>Gene microarray</subject><subject>GO analysis</subject><subject>Humans</subject><subject>Ischemic stroke</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pathway analysis</subject><subject>Polymerase Chain Reaction</subject><subject>Stroke - genetics</subject><subject>Stroke - pathology</subject><issn>0006-291X</issn><issn>1090-2104</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kE1Lw0AQhhdRbK3-AQ-So5fEmc0mTcBLEb-g4EVB8LBsNpN2a5Ktu6nQf--WVo-eBl6eeZl5GLtESBAwv1klVeV0wgGnCWQJlOURGyOUEHMEcczGAJDHvMT3ETvzfgWAKPLylI14kfGinGZj9jHbDHa9VItt7KhVA9XRgnqKOqOdVc6pbaT6OqqMNX1jXacGo32IVLv1xkchiozXSwp85AdnPymqaSA9GNufs5NGtZ4uDnPC3h7uX--e4vnL4_PdbB5rATDEmaZwGaSCKhK8qNJmOq15IVTD8woFiEI3GVAjBGFGAjXxrCTkvMqRhyidsOt979rZrw35QXbhJmpb1ZPdeIklYAp5gWlA-R4N33nvqJFrZzrlthJB7qTKldxJlTupEjIZpIalq0P_puqo_lv5tRiA2z1A4ctvQ056bajXVBsXVMjamv_6fwBK5olY</recordid><startdate>20170715</startdate><enddate>20170715</enddate><creator>Guo, Yinsheng</creator><creator>Ma, Yue</creator><creator>Zhang, Yanwei</creator><creator>Zhou, Li</creator><creator>Huang, Suli</creator><creator>Wen, Ying</creator><creator>Zou, Fei</creator><creator>Cheng, Jinquan</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20170715</creationdate><title>Autophagy-related gene microarray and bioinformatics analysis for ischemic stroke detection</title><author>Guo, Yinsheng ; Ma, Yue ; Zhang, Yanwei ; Zhou, Li ; Huang, Suli ; Wen, Ying ; Zou, Fei ; Cheng, Jinquan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-5ce001034ebe428b3f77d284af26b14048cf50ef44e15e41ce259e122b612e153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Autophagy</topic><topic>Autophagy - genetics</topic><topic>Brain Ischemia - genetics</topic><topic>Brain Ischemia - pathology</topic><topic>Case-Control Studies</topic><topic>Case-control study</topic><topic>Computational Biology</topic><topic>Female</topic><topic>Gene Expression Profiling</topic><topic>Gene microarray</topic><topic>GO analysis</topic><topic>Humans</topic><topic>Ischemic stroke</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Pathway analysis</topic><topic>Polymerase Chain Reaction</topic><topic>Stroke - genetics</topic><topic>Stroke - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Yinsheng</creatorcontrib><creatorcontrib>Ma, Yue</creatorcontrib><creatorcontrib>Zhang, Yanwei</creatorcontrib><creatorcontrib>Zhou, Li</creatorcontrib><creatorcontrib>Huang, Suli</creatorcontrib><creatorcontrib>Wen, Ying</creatorcontrib><creatorcontrib>Zou, Fei</creatorcontrib><creatorcontrib>Cheng, Jinquan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Biochemical and biophysical research communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Yinsheng</au><au>Ma, Yue</au><au>Zhang, Yanwei</au><au>Zhou, Li</au><au>Huang, Suli</au><au>Wen, Ying</au><au>Zou, Fei</au><au>Cheng, Jinquan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Autophagy-related gene microarray and bioinformatics analysis for ischemic stroke detection</atitle><jtitle>Biochemical and biophysical research communications</jtitle><addtitle>Biochem Biophys Res Commun</addtitle><date>2017-07-15</date><risdate>2017</risdate><volume>489</volume><issue>1</issue><spage>48</spage><epage>55</epage><pages>48-55</pages><issn>0006-291X</issn><eissn>1090-2104</eissn><abstract>Ischemic stroke (IS) is characterized by high morbidity and poor prognosis. However, the mechanisms of IS induced injury are still poorly understood. The main aim of this study is to explore the role of autophagy in IS. Ten pairs of whole blood samples of IS patients and matched controls were included to select differential expressed genes (DE genes) by autophagy-related functional gene microarray analysis. And then, one hundred and fifty pairs of whole blood samples of IS patients and matched controls were included to validate the DE genes. Moreover, Gene Ontology (GO) analyses and Pathway analyses were also performed based on the DE gene results. Our results indicated that the co-regulation of autophagy and apoptosis took part in IS-induced injuries, and mitochondrial autophagy and apoptosis played a crucial role in this process. Furthermore, lysosome, protein kinase and endopeptidase also participated in IS. These findings clarified the role of mitochondrial autophagy and apoptosis in ischemic stroke and provided more important biomarkers for the prevention diagnosis and therapeutic implications in IS.
•Blood samples were used to identify biomarkers of IS with autophagy microarray.•Results of GO analysis showed that the prominent cellular component was lysosome.•Protein kinase and endopeptidase were the prominent molecular functions.•Apoptosis pathway was the most enriched pathway.•Mito-autophagy and apoptosis play a crucial role in IS-induced injury.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28528975</pmid><doi>10.1016/j.bbrc.2017.05.099</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Autophagy Autophagy - genetics Brain Ischemia - genetics Brain Ischemia - pathology Case-Control Studies Case-control study Computational Biology Female Gene Expression Profiling Gene microarray GO analysis Humans Ischemic stroke Male Middle Aged Pathway analysis Polymerase Chain Reaction Stroke - genetics Stroke - pathology |
title | Autophagy-related gene microarray and bioinformatics analysis for ischemic stroke detection |
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