Cargando…

Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson's Disease

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 nucle...

Descripción completa

Detalles Bibliográficos
Autores principales: Liao, Xiao-Yang, Wang, Wei-Wen, Yang, Zheng-Hui, Wang, Jun, Lin, Hang, Wang, Qing-Song, Wu, Yu-Xian, Liu, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853924/
https://www.ncbi.nlm.nih.gov/pubmed/24350239
http://dx.doi.org/10.1155/2013/606919
_version_ 1782294716012822528
author Liao, Xiao-Yang
Wang, Wei-Wen
Yang, Zheng-Hui
Wang, Jun
Lin, Hang
Wang, Qing-Song
Wu, Yu-Xian
Liu, Yu
author_facet Liao, Xiao-Yang
Wang, Wei-Wen
Yang, Zheng-Hui
Wang, Jun
Lin, Hang
Wang, Qing-Song
Wu, Yu-Xian
Liu, Yu
author_sort Liao, Xiao-Yang
collection PubMed
description 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 of R. 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.
format Online
Article
Text
id pubmed-3853924
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-38539242013-12-15 Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson's Disease Liao, Xiao-Yang Wang, Wei-Wen Yang, Zheng-Hui Wang, Jun Lin, Hang Wang, Qing-Song Wu, Yu-Xian Liu, Yu Int J Genomics Research Article 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 of R. 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. Hindawi Publishing Corporation 2013 2013-11-20 /pmc/articles/PMC3853924/ /pubmed/24350239 http://dx.doi.org/10.1155/2013/606919 Text en Copyright © 2013 Xiao-Yang Liao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liao, Xiao-Yang
Wang, Wei-Wen
Yang, Zheng-Hui
Wang, Jun
Lin, Hang
Wang, Qing-Song
Wu, Yu-Xian
Liu, Yu
Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson's Disease
title Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson's Disease
title_full Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson's Disease
title_fullStr Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson's Disease
title_full_unstemmed Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson's Disease
title_short Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson's Disease
title_sort microarray analysis of transcriptome of medulla identifies potential biomarkers for parkinson's disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853924/
https://www.ncbi.nlm.nih.gov/pubmed/24350239
http://dx.doi.org/10.1155/2013/606919
work_keys_str_mv AT liaoxiaoyang microarrayanalysisoftranscriptomeofmedullaidentifiespotentialbiomarkersforparkinsonsdisease
AT wangweiwen microarrayanalysisoftranscriptomeofmedullaidentifiespotentialbiomarkersforparkinsonsdisease
AT yangzhenghui microarrayanalysisoftranscriptomeofmedullaidentifiespotentialbiomarkersforparkinsonsdisease
AT wangjun microarrayanalysisoftranscriptomeofmedullaidentifiespotentialbiomarkersforparkinsonsdisease
AT linhang microarrayanalysisoftranscriptomeofmedullaidentifiespotentialbiomarkersforparkinsonsdisease
AT wangqingsong microarrayanalysisoftranscriptomeofmedullaidentifiespotentialbiomarkersforparkinsonsdisease
AT wuyuxian microarrayanalysisoftranscriptomeofmedullaidentifiespotentialbiomarkersforparkinsonsdisease
AT liuyu microarrayanalysisoftranscriptomeofmedullaidentifiespotentialbiomarkersforparkinsonsdisease