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Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer’s Disease
BACKGROUND: Our study aimed to identify key differentially expressed genes (DEGs) and miRNAs (DEmiRNAs) which can serve as potential biomarkers for diagnosis and therapy of Alzheimer’s disease (AD). MATERIAL/METHODS: We performed miRNA and mRNA integrated analysis (MMIA) to identify DEGs and DEmiRNA...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467707/ https://www.ncbi.nlm.nih.gov/pubmed/28578378 http://dx.doi.org/10.12659/MSM.905064 |
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author | Chang, Wan-Sheng Wang, Yong-Hong Zhu, Xiao-Tun Wu, Chuan-Jie |
author_facet | Chang, Wan-Sheng Wang, Yong-Hong Zhu, Xiao-Tun Wu, Chuan-Jie |
author_sort | Chang, Wan-Sheng |
collection | PubMed |
description | BACKGROUND: Our study aimed to identify key differentially expressed genes (DEGs) and miRNAs (DEmiRNAs) which can serve as potential biomarkers for diagnosis and therapy of Alzheimer’s disease (AD). MATERIAL/METHODS: We performed miRNA and mRNA integrated analysis (MMIA) to identify DEGs and DEmiRNAs of AD. The AD-specific DEmiRNAs-targets interaction network was contrasted. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis were performed. Q-RT-PCR was used to verify the expression of selected DEGs and DEmiRNAs. RESULTS: We conducted MMIA of AD based on 1 miRNA dataset and 3 mRNA datasets derived from the Gene Expression Omnibus (GEO) database; 1759 DEGs and 12 DEmiRNAs were obtained. DEGs of AD were significantly enriched in Huntington’s disease and AD. LRP1, CDK5R1, PLCβ2, NDUFA4, and DLG4 were 5 DEGs regulated by 4 DEmiRNAs, including miR-26b-5p, miR-26a-5p, miR-107, and miR-103a-3p. These 4 miRNAs were the top 4 miRNAs covering most DEGs. According to the qRT-PCR results, the expression of PLCβ2, NDUFA4, DLG4, miR-107, and miR-103a-3p was consistent with our integrated analysis. CONCLUSIONS: We concluded that LRP1, CDK5R1, PLCβ2, NDUFA4, and DLG4 may play a role in AD regulated by miR-26b-5p, miR-26a-5p, miR-107, and miR-103a-3p. Our findings will contribute to identification of biomarkers and new strategies for drug design for AD treatment. |
format | Online Article Text |
id | pubmed-5467707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54677072017-06-19 Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer’s Disease Chang, Wan-Sheng Wang, Yong-Hong Zhu, Xiao-Tun Wu, Chuan-Jie Med Sci Monit Lab/In Vitro Research BACKGROUND: Our study aimed to identify key differentially expressed genes (DEGs) and miRNAs (DEmiRNAs) which can serve as potential biomarkers for diagnosis and therapy of Alzheimer’s disease (AD). MATERIAL/METHODS: We performed miRNA and mRNA integrated analysis (MMIA) to identify DEGs and DEmiRNAs of AD. The AD-specific DEmiRNAs-targets interaction network was contrasted. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis were performed. Q-RT-PCR was used to verify the expression of selected DEGs and DEmiRNAs. RESULTS: We conducted MMIA of AD based on 1 miRNA dataset and 3 mRNA datasets derived from the Gene Expression Omnibus (GEO) database; 1759 DEGs and 12 DEmiRNAs were obtained. DEGs of AD were significantly enriched in Huntington’s disease and AD. LRP1, CDK5R1, PLCβ2, NDUFA4, and DLG4 were 5 DEGs regulated by 4 DEmiRNAs, including miR-26b-5p, miR-26a-5p, miR-107, and miR-103a-3p. These 4 miRNAs were the top 4 miRNAs covering most DEGs. According to the qRT-PCR results, the expression of PLCβ2, NDUFA4, DLG4, miR-107, and miR-103a-3p was consistent with our integrated analysis. CONCLUSIONS: We concluded that LRP1, CDK5R1, PLCβ2, NDUFA4, and DLG4 may play a role in AD regulated by miR-26b-5p, miR-26a-5p, miR-107, and miR-103a-3p. Our findings will contribute to identification of biomarkers and new strategies for drug design for AD treatment. International Scientific Literature, Inc. 2017-06-04 /pmc/articles/PMC5467707/ /pubmed/28578378 http://dx.doi.org/10.12659/MSM.905064 Text en © Med Sci Monit, 2017 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Lab/In Vitro Research Chang, Wan-Sheng Wang, Yong-Hong Zhu, Xiao-Tun Wu, Chuan-Jie Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer’s Disease |
title | Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer’s Disease |
title_full | Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer’s Disease |
title_fullStr | Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer’s Disease |
title_full_unstemmed | Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer’s Disease |
title_short | Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer’s Disease |
title_sort | genome-wide profiling of mirna and mrna expression in alzheimer’s disease |
topic | Lab/In Vitro Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467707/ https://www.ncbi.nlm.nih.gov/pubmed/28578378 http://dx.doi.org/10.12659/MSM.905064 |
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