Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson’s Disease
| Autor: | Weiwen Wang, Qingsong Wang, Jun Wang, Yuxian Wu, Xiao-Yang Liao, Hang Lin, Yu Liu, Zheng-Hui Yang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Macromolecule metabolic process
lcsh:QH426-470 Article Subject Microarray analysis techniques Pharmaceutical Science Computational biology Biology Bioinformatics Biochemistry Transcriptome lcsh:Genetics Dorsal motor nucleus microRNA Gene expression Genetics Inferior olivary nucleus Molecular Biology Gene Research Article |
| Zdroj: | International Journal of Genomics International Journal of Genomics, Vol 2013 (2013) |
| ISSN: | 2314-436X |
| DOI: | 10.1155/2013/606919 |
| Popis: | To complement the molecular pathways contributing to Parkinson’s disease (PD) and identify potential biomarkers, gene expression profiles of two regions of the medulla were compared between PD patients and control. GSE19587 containing two groups of gene expression profiles [6 dorsal motor nucleus of the vagus (DMNV) samples from PD patients and 5 from controls, 6 inferior olivary nucleus (ION) samples from PD patients and 5 from controls] was downloaded from Gene Expression Omnibus. As a result, a total of 1569 and 1647 differentially expressed genes (DEGs) were, respectively, screened in DMNV and ION with limma package ofR. The functional enrichment analysis by DAVID server (the Database for Annotation, Visualization and Integrated Discovery) indicated that the above DEGs may be involved in the following processes, such as regulation of cell proliferation, positive regulation of macromolecule metabolic process, and regulation of apoptosis. Further analysis showed that there were 365 common DEGs presented in both regions (DMNV and ION), which may be further regulated by eight clusters of microRNAs retrieved with WebGestalt. The genes in the common DEGs-miRNAs regulatory network were enriched in regulation of apoptosis process via DAVID analysis. These findings could not only advance the understandings about the pathogenesis of PD, but also suggest potential biomarkers for this disease. |
| Databáze: | OpenAIRE |
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