Exploring the miRNA-mRNA regulatory network in schizophrenia based on GEO database
ObjectiveTo provide a new idea for exploring the molecular genetic approach to the pathogenesis of schizophrenia via construction of microRNA-messenger RNA （miRNA-mRNA） regulatory network in schizophrenia.MethodsThe microarray datasets of GSE54578 miRNA expression profiles in peripheral blood and GS...
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| Format: | Article |
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Editorial Office of Sichuan Mental Health
2022-04-01
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| Series: | Sichuan jingshen weisheng |
| Subjects: | |
| Online Access: | http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202202005&flag=1 |
| _version_ | 1827762275365158912 |
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| author | He Mei You Xu Yang Yunbin Li Yanping Zhang Lifen Lu Zixiang Zhang Yunqiao Long Qing Ma Xiao Zeng Yong |
| author_facet | He Mei You Xu Yang Yunbin Li Yanping Zhang Lifen Lu Zixiang Zhang Yunqiao Long Qing Ma Xiao Zeng Yong |
| author_sort | He Mei |
| collection | DOAJ |
| description | ObjectiveTo provide a new idea for exploring the molecular genetic approach to the pathogenesis of schizophrenia via construction of microRNA-messenger RNA （miRNA-mRNA） regulatory network in schizophrenia.MethodsThe microarray datasets of GSE54578 miRNA expression profiles in peripheral blood and GSE145554 mRNA expression in the anterior cingulate in postmortem brain of schizophrenic subjects were downloaded from Gene Expression Omnibus （GEO） database since July 2021. The GEO2R was used to identify the differentially expressed miRNAs and mRNAs， screen the miRNA with target differentially expressed mRNA， and predict their potential upstream transcription factors. The overlapping genes from the mRNA targeted by the differentially expressed miRNA and the mRNA differentially expressed in GSE145554 dataset were collected. Then the biological features of hub genes were analyzed via Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis， and the protein-protein interaction （PPI） network and miRNA-mRNA regulatory network of hub genes were constructed.ResultsA total of 8 up-regulated differentially expressed miRNAs with targeted mRNA were screened out in GSE54578 datasets regarding schizophrenia， which involved in the regulation of 10 transcription factors， 247 down-regulated differentially expressed mRNAs were screened out in GSE145554 datasets， and 17 overlapping mRNAs were obtained. GO analysis showed that the target mRNAs were mainly involved in astrocyte differentiation and development. KEGG pathway enrichment analysis showed that the target mRNAs were mainly involved in Rap1 and Ras signaling pathways. PPI network analysis showed that the mRNAs （KRAS and CD28） might be key genes in schizophrenia.ConclusionThe integrated bioinformatics analysis based on GEO database can identify potential susceptibility genes in schizophrenia， and it also contributes to the construction of miRNA-mRNA regulatory network in schizophrenia. |
| first_indexed | 2024-03-11T10:27:13Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1007-3256 |
| language | zho |
| last_indexed | 2024-03-11T10:27:13Z |
| publishDate | 2022-04-01 |
| publisher | Editorial Office of Sichuan Mental Health |
| record_format | Article |
| series | Sichuan jingshen weisheng |
| spelling | doaj.art-f9262c36647f41c7a0756282c814ddfa2023-11-15T12:27:58ZzhoEditorial Office of Sichuan Mental HealthSichuan jingshen weisheng1007-32562022-04-0135212012510.11886/scjsws202112060011007-3256（2022）02-0120-06Exploring the miRNA-mRNA regulatory network in schizophrenia based on GEO databaseHe Mei0You Xu1Yang Yunbin2Li Yanping3Zhang Lifen4Lu Zixiang5Zhang Yunqiao6Long Qing7Ma Xiao8Zeng Yong9The Second People's Hospital of Honghe Prefecture， Honghe 654300， ChinaThe Second People's Hospital of Honghe Prefecture， Honghe 654300， ChinaThe Second People's Hospital of Honghe Prefecture， Honghe 654300， ChinaThe Second People's Hospital of Honghe Prefecture， Honghe 654300， ChinaThe Second People's Hospital of Honghe Prefecture， Honghe 654300， ChinaThe Second People's Hospital of Honghe Prefecture， Honghe 654300， ChinaThe Second People's Hospital of Honghe Prefecture， Honghe 654300， ChinaThe Sixth Affiliated Hospital of Kunming Medical University， Yuxi 653100， ChinaThe Sixth Affiliated Hospital of Kunming Medical University， Yuxi 653100， ChinaThe Sixth Affiliated Hospital of Kunming Medical University， Yuxi 653100， ChinaObjectiveTo provide a new idea for exploring the molecular genetic approach to the pathogenesis of schizophrenia via construction of microRNA-messenger RNA （miRNA-mRNA） regulatory network in schizophrenia.MethodsThe microarray datasets of GSE54578 miRNA expression profiles in peripheral blood and GSE145554 mRNA expression in the anterior cingulate in postmortem brain of schizophrenic subjects were downloaded from Gene Expression Omnibus （GEO） database since July 2021. The GEO2R was used to identify the differentially expressed miRNAs and mRNAs， screen the miRNA with target differentially expressed mRNA， and predict their potential upstream transcription factors. The overlapping genes from the mRNA targeted by the differentially expressed miRNA and the mRNA differentially expressed in GSE145554 dataset were collected. Then the biological features of hub genes were analyzed via Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis， and the protein-protein interaction （PPI） network and miRNA-mRNA regulatory network of hub genes were constructed.ResultsA total of 8 up-regulated differentially expressed miRNAs with targeted mRNA were screened out in GSE54578 datasets regarding schizophrenia， which involved in the regulation of 10 transcription factors， 247 down-regulated differentially expressed mRNAs were screened out in GSE145554 datasets， and 17 overlapping mRNAs were obtained. GO analysis showed that the target mRNAs were mainly involved in astrocyte differentiation and development. KEGG pathway enrichment analysis showed that the target mRNAs were mainly involved in Rap1 and Ras signaling pathways. PPI network analysis showed that the mRNAs （KRAS and CD28） might be key genes in schizophrenia.ConclusionThe integrated bioinformatics analysis based on GEO database can identify potential susceptibility genes in schizophrenia， and it also contributes to the construction of miRNA-mRNA regulatory network in schizophrenia.http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202202005&flag=1schizophreniamirnamrnaregulatory networkbioinformaticsgeo |
| spellingShingle | He Mei You Xu Yang Yunbin Li Yanping Zhang Lifen Lu Zixiang Zhang Yunqiao Long Qing Ma Xiao Zeng Yong Exploring the miRNA-mRNA regulatory network in schizophrenia based on GEO database Sichuan jingshen weisheng schizophrenia mirna mrna regulatory network bioinformatics geo |
| title | Exploring the miRNA-mRNA regulatory network in schizophrenia based on GEO database |
| title_full | Exploring the miRNA-mRNA regulatory network in schizophrenia based on GEO database |
| title_fullStr | Exploring the miRNA-mRNA regulatory network in schizophrenia based on GEO database |
| title_full_unstemmed | Exploring the miRNA-mRNA regulatory network in schizophrenia based on GEO database |
| title_short | Exploring the miRNA-mRNA regulatory network in schizophrenia based on GEO database |
| title_sort | exploring the mirna mrna regulatory network in schizophrenia based on geo database |
| topic | schizophrenia mirna mrna regulatory network bioinformatics geo |
| url | http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202202005&flag=1 |
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