Integrated Bioinformatics Analysis of Shared Genes, miRNA, Biological Pathways and Their Potential Role as Therapeutic Targets in Huntington's Disease Stages
Huntington's Disease (HD) is a progressive neurodegenerative disease caused by CAG repeat expansion in the huntingtin gene (HTT). The HTT gene was the first disease-associated gene mapped to a chromosome, but the pathophysiological mechanisms, genes, proteins or miRNAs involved in HD remain poo...
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description | Huntington's Disease (HD) is a progressive neurodegenerative disease caused by CAG repeat expansion in the huntingtin gene (HTT). The HTT gene was the first disease-associated gene mapped to a chromosome, but the pathophysiological mechanisms, genes, proteins or miRNAs involved in HD remain poorly understood. Systems bioinformatics approaches can divulge the synergistic relationships of multiple omics data and their integration, and thus provide a holistic approach to understanding diseases. The purpose of this study was to identify the differentially expressed genes (DEGs), HD-related gene targets, pathways and miRNAs in HD and, more specifically, between the pre-symptomatic and symptomatic HD stages. Three publicly available HD datasets were analysed to obtain DEGs for each HD stage from each dataset. In addition, three databases were used to obtain HD-related gene targets. The shared gene targets between the three public databases were compared, and clustering analysis was performed on the common shared genes. Enrichment analysis was performed on (i) DEGs identified for each HD stage in each dataset, (ii) gene targets from the public databases and (iii) the clustering analysis results. Furthermore, the hub genes shared between the public databases and the HD DEGs were identified, and topological network parameters were applied. Identification of HD-related miRNAs and their gene targets was obtained, and a miRNA-gene network was constructed. Enriched pathways identified for the 128 common genes revealed pathways linked to multiple neurodegeneration diseases (HD, Parkinson's disease, Spinocerebellar ataxia), MAPK and HIF-1 signalling pathways. Eighteen HD-related hub genes were identified based on network topological analysis of MCC, degree and closeness. The highest-ranked genes were
and
,
and
were found for betweenness and eccentricity and
and
were identified for the clustering coefficient. The miRNA-gene network identified eleven miRNAs (mir-19a-3p, mir-34b-3p, mir-128-5p, mir-196a-5p, mir-34a-5p, mir-338-3p, mir-23a-3p and mir-214-3p) and eight genes (
,
,
,
,
,
and
). Our work revealed that various biological pathways seem to be involved in HD either during the pre-symptomatic or symptomatic stages of HD. This may offer some clues for the molecular mechanisms, pathways and cellular components underlying HD and how these may act as potential therapeutic targets for HD. |
doi_str_mv | 10.3390/ijms24054873 |
format | Article |
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and
,
and
were found for betweenness and eccentricity and
and
were identified for the clustering coefficient. The miRNA-gene network identified eleven miRNAs (mir-19a-3p, mir-34b-3p, mir-128-5p, mir-196a-5p, mir-34a-5p, mir-338-3p, mir-23a-3p and mir-214-3p) and eight genes (
,
,
,
,
,
and
). Our work revealed that various biological pathways seem to be involved in HD either during the pre-symptomatic or symptomatic stages of HD. This may offer some clues for the molecular mechanisms, pathways and cellular components underlying HD and how these may act as potential therapeutic targets for HD.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms24054873</identifier><identifier>PMID: 36902304</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Ataxia ; Bioinformatics ; Biomarkers ; Caspase 3 - genetics ; Chromosome 3 ; Clustering ; Computational biology ; Computational Biology - methods ; Datasets ; Disease ; FOXO3 protein ; Gene Regulatory Networks ; Genes ; Health aspects ; High-definition television ; Humans ; Huntingtin ; Huntington Disease - metabolism ; Huntington's disease ; Huntingtons disease ; MAP kinase ; Medical research ; Medicine, Experimental ; Metabolites ; Methylenetetrahydrofolate reductase ; MicroRNA ; MicroRNAs ; MicroRNAs - genetics ; miRNA ; Molecular modelling ; Nervous system diseases ; Neurodegeneration ; Neurodegenerative Diseases ; Parkinson's disease ; Polyglutamine ; Proteins ; Signal transduction ; Spinocerebellar ataxia ; Therapeutic applications ; Therapeutic targets ; Topology ; Trinucleotide repeat diseases ; Trinucleotide repeats</subject><ispartof>International journal of molecular sciences, 2023-03, Vol.24 (5), p.4873</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c480t-d52f345be9d1270ff2d149abbd3a165e354fa9f1485ec0b22f2f6ff265530cc23</citedby><cites>FETCH-LOGICAL-c480t-d52f345be9d1270ff2d149abbd3a165e354fa9f1485ec0b22f2f6ff265530cc23</cites><orcidid>0000-0002-6071-1715</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003639/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003639/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36902304$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Christodoulou, Christiana C</creatorcontrib><creatorcontrib>Papanicolaou, Eleni Zamba</creatorcontrib><title>Integrated Bioinformatics Analysis of Shared Genes, miRNA, Biological Pathways and Their Potential Role as Therapeutic Targets in Huntington's Disease Stages</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>Huntington's Disease (HD) is a progressive neurodegenerative disease caused by CAG repeat expansion in the huntingtin gene (HTT). The HTT gene was the first disease-associated gene mapped to a chromosome, but the pathophysiological mechanisms, genes, proteins or miRNAs involved in HD remain poorly understood. Systems bioinformatics approaches can divulge the synergistic relationships of multiple omics data and their integration, and thus provide a holistic approach to understanding diseases. The purpose of this study was to identify the differentially expressed genes (DEGs), HD-related gene targets, pathways and miRNAs in HD and, more specifically, between the pre-symptomatic and symptomatic HD stages. Three publicly available HD datasets were analysed to obtain DEGs for each HD stage from each dataset. In addition, three databases were used to obtain HD-related gene targets. The shared gene targets between the three public databases were compared, and clustering analysis was performed on the common shared genes. Enrichment analysis was performed on (i) DEGs identified for each HD stage in each dataset, (ii) gene targets from the public databases and (iii) the clustering analysis results. Furthermore, the hub genes shared between the public databases and the HD DEGs were identified, and topological network parameters were applied. Identification of HD-related miRNAs and their gene targets was obtained, and a miRNA-gene network was constructed. Enriched pathways identified for the 128 common genes revealed pathways linked to multiple neurodegeneration diseases (HD, Parkinson's disease, Spinocerebellar ataxia), MAPK and HIF-1 signalling pathways. Eighteen HD-related hub genes were identified based on network topological analysis of MCC, degree and closeness. The highest-ranked genes were
and
,
and
were found for betweenness and eccentricity and
and
were identified for the clustering coefficient. The miRNA-gene network identified eleven miRNAs (mir-19a-3p, mir-34b-3p, mir-128-5p, mir-196a-5p, mir-34a-5p, mir-338-3p, mir-23a-3p and mir-214-3p) and eight genes (
,
,
,
,
,
and
). Our work revealed that various biological pathways seem to be involved in HD either during the pre-symptomatic or symptomatic stages of HD. This may offer some clues for the molecular mechanisms, pathways and cellular components underlying HD and how these may act as potential therapeutic targets for HD.</description><subject>Ataxia</subject><subject>Bioinformatics</subject><subject>Biomarkers</subject><subject>Caspase 3 - genetics</subject><subject>Chromosome 3</subject><subject>Clustering</subject><subject>Computational biology</subject><subject>Computational Biology - methods</subject><subject>Datasets</subject><subject>Disease</subject><subject>FOXO3 protein</subject><subject>Gene Regulatory Networks</subject><subject>Genes</subject><subject>Health aspects</subject><subject>High-definition television</subject><subject>Humans</subject><subject>Huntingtin</subject><subject>Huntington Disease - metabolism</subject><subject>Huntington's disease</subject><subject>Huntingtons disease</subject><subject>MAP kinase</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Metabolites</subject><subject>Methylenetetrahydrofolate reductase</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Molecular modelling</subject><subject>Nervous system diseases</subject><subject>Neurodegeneration</subject><subject>Neurodegenerative Diseases</subject><subject>Parkinson's disease</subject><subject>Polyglutamine</subject><subject>Proteins</subject><subject>Signal transduction</subject><subject>Spinocerebellar ataxia</subject><subject>Therapeutic applications</subject><subject>Therapeutic targets</subject><subject>Topology</subject><subject>Trinucleotide repeat diseases</subject><subject>Trinucleotide repeats</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkk1vEzEQhlcIREvhxhlZ4gCHpHj9sZs9VaFAW6mCqg1na-Idbxzt2sH2gvJj-K84tJQUIR88mnnmnfF4iuJlSY85b-g7ux4iE1SKWc0fFYelYGxKaVU_3rMPimcxrillnMnmaXHAqybbVBwWPy9cwi5Awpa8t94648MAyepI5g76bbSReENuVhAycYYO44QM9vrzfLLje99ZDT25grT6AdtIwLVksUIbyJVP6JLNwWvfI4G48wfY4JjVyQJChykS68j5mDHXJe_eRPLBRoSI5CZBh_F58cRAH_HF3X1UfP30cXF6Pr38cnZxOr-cajGjadpKZriQS2zaktXUGNaWooHlsuVQVhK5FAYaU4qZRE2XjBlmqkxVUnKqNeNHxcmt7mZcDtjq3HiAXm2CHSBslQerHkacXanOf1clpZRXvMkKb-8Ugv82YkxqsFFj34NDP0bF6llFG1E1IqOv_0HXfgx52L8pyXLHNftLddCj2v1LLqx3ompey7JhFa1lpo7_Q-XT4mC1d2hs9j9ImNwm6OBjDGjuH1lStdsntb9PGX-1P5h7-M8C8V9wpcdU</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Christodoulou, Christiana C</creator><creator>Papanicolaou, Eleni Zamba</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6071-1715</orcidid></search><sort><creationdate>20230301</creationdate><title>Integrated Bioinformatics Analysis of Shared Genes, miRNA, Biological Pathways and Their Potential Role as Therapeutic Targets in Huntington's Disease Stages</title><author>Christodoulou, Christiana C ; Papanicolaou, Eleni Zamba</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c480t-d52f345be9d1270ff2d149abbd3a165e354fa9f1485ec0b22f2f6ff265530cc23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Ataxia</topic><topic>Bioinformatics</topic><topic>Biomarkers</topic><topic>Caspase 3 - genetics</topic><topic>Chromosome 3</topic><topic>Clustering</topic><topic>Computational biology</topic><topic>Computational Biology - methods</topic><topic>Datasets</topic><topic>Disease</topic><topic>FOXO3 protein</topic><topic>Gene Regulatory Networks</topic><topic>Genes</topic><topic>Health aspects</topic><topic>High-definition television</topic><topic>Humans</topic><topic>Huntingtin</topic><topic>Huntington Disease - metabolism</topic><topic>Huntington's disease</topic><topic>Huntingtons disease</topic><topic>MAP kinase</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Metabolites</topic><topic>Methylenetetrahydrofolate reductase</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Molecular modelling</topic><topic>Nervous system diseases</topic><topic>Neurodegeneration</topic><topic>Neurodegenerative Diseases</topic><topic>Parkinson's disease</topic><topic>Polyglutamine</topic><topic>Proteins</topic><topic>Signal transduction</topic><topic>Spinocerebellar ataxia</topic><topic>Therapeutic applications</topic><topic>Therapeutic targets</topic><topic>Topology</topic><topic>Trinucleotide repeat diseases</topic><topic>Trinucleotide repeats</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Christodoulou, Christiana C</creatorcontrib><creatorcontrib>Papanicolaou, Eleni Zamba</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Christodoulou, Christiana C</au><au>Papanicolaou, Eleni Zamba</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated Bioinformatics Analysis of Shared Genes, miRNA, Biological Pathways and Their Potential Role as Therapeutic Targets in Huntington's Disease Stages</atitle><jtitle>International journal of molecular sciences</jtitle><addtitle>Int J Mol Sci</addtitle><date>2023-03-01</date><risdate>2023</risdate><volume>24</volume><issue>5</issue><spage>4873</spage><pages>4873-</pages><issn>1422-0067</issn><issn>1661-6596</issn><eissn>1422-0067</eissn><abstract>Huntington's Disease (HD) is a progressive neurodegenerative disease caused by CAG repeat expansion in the huntingtin gene (HTT). The HTT gene was the first disease-associated gene mapped to a chromosome, but the pathophysiological mechanisms, genes, proteins or miRNAs involved in HD remain poorly understood. Systems bioinformatics approaches can divulge the synergistic relationships of multiple omics data and their integration, and thus provide a holistic approach to understanding diseases. The purpose of this study was to identify the differentially expressed genes (DEGs), HD-related gene targets, pathways and miRNAs in HD and, more specifically, between the pre-symptomatic and symptomatic HD stages. Three publicly available HD datasets were analysed to obtain DEGs for each HD stage from each dataset. In addition, three databases were used to obtain HD-related gene targets. The shared gene targets between the three public databases were compared, and clustering analysis was performed on the common shared genes. Enrichment analysis was performed on (i) DEGs identified for each HD stage in each dataset, (ii) gene targets from the public databases and (iii) the clustering analysis results. Furthermore, the hub genes shared between the public databases and the HD DEGs were identified, and topological network parameters were applied. Identification of HD-related miRNAs and their gene targets was obtained, and a miRNA-gene network was constructed. Enriched pathways identified for the 128 common genes revealed pathways linked to multiple neurodegeneration diseases (HD, Parkinson's disease, Spinocerebellar ataxia), MAPK and HIF-1 signalling pathways. Eighteen HD-related hub genes were identified based on network topological analysis of MCC, degree and closeness. The highest-ranked genes were
and
,
and
were found for betweenness and eccentricity and
and
were identified for the clustering coefficient. The miRNA-gene network identified eleven miRNAs (mir-19a-3p, mir-34b-3p, mir-128-5p, mir-196a-5p, mir-34a-5p, mir-338-3p, mir-23a-3p and mir-214-3p) and eight genes (
,
,
,
,
,
and
). Our work revealed that various biological pathways seem to be involved in HD either during the pre-symptomatic or symptomatic stages of HD. This may offer some clues for the molecular mechanisms, pathways and cellular components underlying HD and how these may act as potential therapeutic targets for HD.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36902304</pmid><doi>10.3390/ijms24054873</doi><orcidid>https://orcid.org/0000-0002-6071-1715</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Ataxia Bioinformatics Biomarkers Caspase 3 - genetics Chromosome 3 Clustering Computational biology Computational Biology - methods Datasets Disease FOXO3 protein Gene Regulatory Networks Genes Health aspects High-definition television Humans Huntingtin Huntington Disease - metabolism Huntington's disease Huntingtons disease MAP kinase Medical research Medicine, Experimental Metabolites Methylenetetrahydrofolate reductase MicroRNA MicroRNAs MicroRNAs - genetics miRNA Molecular modelling Nervous system diseases Neurodegeneration Neurodegenerative Diseases Parkinson's disease Polyglutamine Proteins Signal transduction Spinocerebellar ataxia Therapeutic applications Therapeutic targets Topology Trinucleotide repeat diseases Trinucleotide repeats |
title | Integrated Bioinformatics Analysis of Shared Genes, miRNA, Biological Pathways and Their Potential Role as Therapeutic Targets in Huntington's Disease Stages |
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