Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease

Abstract Background Parkinson’s disease (PD) is the second most prevalent neurodegenerative disorders in the world. Studying PD from systems biology perspective involving genes and their regulators might provide deeper insights into the complex molecular interactions associated with this disease. Re...

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Main Authors: Paulami Chatterjee, Debjani Roy, Malay Bhattacharyya, Sanghamitra Bandyopadhyay
Format: Article
Language:English
Published: BMC 2017-09-01
Series:BMC Genomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12864-017-4098-3
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spelling doaj-919eb69f283f44a2ad916e31dab36b0b2020-11-25T00:50:50ZengBMCBMC Genomics1471-21642017-09-0118111710.1186/s12864-017-4098-3Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this diseasePaulami Chatterjee0Debjani Roy1Malay Bhattacharyya2Sanghamitra Bandyopadhyay3Department of Biophysics, Bose InstituteDepartment of Biophysics, Bose InstituteDepartment of Information Technology, Indian Institute of Engineering Science and Technology, ShibpurMachine Intelligence Unit, Indian Statistical InstituteAbstract Background Parkinson’s disease (PD) is the second most prevalent neurodegenerative disorders in the world. Studying PD from systems biology perspective involving genes and their regulators might provide deeper insights into the complex molecular interactions associated with this disease. Result We have studied gene co-expression network obtained from a PD-specific microarray data. The co-expression network identified 11 hub genes, of which eight genes are not previously known to be associated with PD. Further study on the functionality of these eight novel hub genes revealed that these genes play important roles in several neurodegenerative diseases. Furthermore, we have studied the tissue-specific expression and histone modification patterns of the novel hub genes. Most of these genes possess several histone modification sites those are already known to be associated with neurodegenerative diseases. Regulatory network namely mTF-miRNA-gene-gTF involves microRNA Transcription Factor (mTF), microRNA (miRNA), gene and gene Transcription Factor (gTF). Whereas long noncoding RNA (lncRNA) mediated regulatory network involves miRNA, gene, mTF and lncRNA. mTF-miRNA-gene-gTF regulatory network identified a novel feed-forward loop. lncRNA-mediated regulatory network identified novel lncRNAs of PD and revealed the two-way regulatory pattern of PD-specific miRNAs where miRNAs can be regulated by both the TFs and lncRNAs. SNP analysis of the most significant genes of the co-expression network identified 20 SNPs. These SNPs are present in the 3′ UTR of known PD genes and are controlled by those miRNAs which are also involved in PD. Conclusion Our study identified eight novel hub genes which can be considered as possible candidates for future biomarker identification studies for PD. The two regulatory networks studied in our work provide a detailed overview of the cellular regulatory mechanisms where the non-coding RNAs namely miRNA and lncRNA, can act as epigenetic regulators of PD. SNPs identified in our study can be helpful for identifying PD at an earlier stage. Overall, this study may impart a better comprehension of the complex molecular interactions associated with PD from systems biology perspective.http://link.springer.com/article/10.1186/s12864-017-4098-3Parkinson’s DiseaseGene co-expression networkGene regulatory networkFeed forward loopLong non-coding RNAmicroRNA
collection DOAJ
language English
format Article
sources DOAJ
author Paulami Chatterjee
Debjani Roy
Malay Bhattacharyya
Sanghamitra Bandyopadhyay
spellingShingle Paulami Chatterjee
Debjani Roy
Malay Bhattacharyya
Sanghamitra Bandyopadhyay
Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease
BMC Genomics
Parkinson’s Disease
Gene co-expression network
Gene regulatory network
Feed forward loop
Long non-coding RNA
microRNA
author_facet Paulami Chatterjee
Debjani Roy
Malay Bhattacharyya
Sanghamitra Bandyopadhyay
author_sort Paulami Chatterjee
title Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease
title_short Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease
title_full Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease
title_fullStr Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease
title_full_unstemmed Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease
title_sort biological networks in parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2017-09-01
description Abstract Background Parkinson’s disease (PD) is the second most prevalent neurodegenerative disorders in the world. Studying PD from systems biology perspective involving genes and their regulators might provide deeper insights into the complex molecular interactions associated with this disease. Result We have studied gene co-expression network obtained from a PD-specific microarray data. The co-expression network identified 11 hub genes, of which eight genes are not previously known to be associated with PD. Further study on the functionality of these eight novel hub genes revealed that these genes play important roles in several neurodegenerative diseases. Furthermore, we have studied the tissue-specific expression and histone modification patterns of the novel hub genes. Most of these genes possess several histone modification sites those are already known to be associated with neurodegenerative diseases. Regulatory network namely mTF-miRNA-gene-gTF involves microRNA Transcription Factor (mTF), microRNA (miRNA), gene and gene Transcription Factor (gTF). Whereas long noncoding RNA (lncRNA) mediated regulatory network involves miRNA, gene, mTF and lncRNA. mTF-miRNA-gene-gTF regulatory network identified a novel feed-forward loop. lncRNA-mediated regulatory network identified novel lncRNAs of PD and revealed the two-way regulatory pattern of PD-specific miRNAs where miRNAs can be regulated by both the TFs and lncRNAs. SNP analysis of the most significant genes of the co-expression network identified 20 SNPs. These SNPs are present in the 3′ UTR of known PD genes and are controlled by those miRNAs which are also involved in PD. Conclusion Our study identified eight novel hub genes which can be considered as possible candidates for future biomarker identification studies for PD. The two regulatory networks studied in our work provide a detailed overview of the cellular regulatory mechanisms where the non-coding RNAs namely miRNA and lncRNA, can act as epigenetic regulators of PD. SNPs identified in our study can be helpful for identifying PD at an earlier stage. Overall, this study may impart a better comprehension of the complex molecular interactions associated with PD from systems biology perspective.
topic Parkinson’s Disease
Gene co-expression network
Gene regulatory network
Feed forward loop
Long non-coding RNA
microRNA
url http://link.springer.com/article/10.1186/s12864-017-4098-3
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