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帕金森病中的生物网络:对与该疾病相关的表观遗传机制的洞察。

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

作者信息

Chatterjee Paulami, Roy Debjani, Bhattacharyya Malay, Bandyopadhyay Sanghamitra

机构信息

Department of Biophysics, Bose Institute, Acharya J.C. Bose Centenary Building, P-1/12 C.I.T. Scheme VII M, Kolkata, 700054, India.

Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur, Botanic Garden, Howrah, PO, 711103, India.

出版信息

BMC Genomics. 2017 Sep 12;18(1):721. doi: 10.1186/s12864-017-4098-3.

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.

摘要

背景

帕金森病(PD)是世界上第二常见的神经退行性疾病。从系统生物学角度研究涉及基因及其调控因子的帕金森病,可能会为与该疾病相关的复杂分子相互作用提供更深入的见解。

结果

我们研究了从帕金森病特异性微阵列数据获得的基因共表达网络。该共表达网络鉴定出11个枢纽基因,其中8个基因以前未知与帕金森病相关。对这8个新的枢纽基因的功能进行进一步研究发现,这些基因在几种神经退行性疾病中起重要作用。此外,我们研究了新枢纽基因的组织特异性表达和组蛋白修饰模式。这些基因中的大多数具有几个已知与神经退行性疾病相关的组蛋白修饰位点。调控网络即mTF-miRNA-基因-gTF涉及微RNA转录因子(mTF)、微RNA(miRNA)、基因和基因转录因子(gTF)。而长链非编码RNA(lncRNA)介导的调控网络涉及miRNA、基因、mTF和lncRNA。mTF-miRNA-基因-gTF调控网络鉴定出一个新的前馈环。lncRNA介导的调控网络鉴定出帕金森病的新型lncRNA,并揭示了帕金森病特异性miRNA的双向调控模式,其中miRNA可由转录因子和lncRNA共同调控。对共表达网络中最显著基因的SNP分析鉴定出20个SNP。这些SNP存在于已知帕金森病基因的3'UTR中,并由也参与帕金森病的那些miRNA控制。

结论

我们的研究鉴定出8个新的枢纽基因,可被视为未来帕金森病生物标志物鉴定研究的可能候选基因。我们工作中研究的两个调控网络提供了细胞调控机制的详细概述,其中非编码RNA即miRNA和lncRNA可作为帕金森病的表观遗传调控因子。我们研究中鉴定出的SNP有助于在早期阶段识别帕金森病。总体而言,本研究可能从系统生物学角度更好地理解与帕金森病相关的复杂分子相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecd3/5596942/fb2f7a7af1f4/12864_2017_4098_Fig1_HTML.jpg

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