Chatterjee Paulami, Bhattacharyya Malay, Bandyopadhyay Sanghamitra, Roy Debjani
Department of Biophysics, Bose Institute, Acharya J.C. Bose Centenary Building, Kolkata, India.
Department of C.S.E., University of Kalyani, Kalyani, Nadia, India.
PLoS One. 2014 Apr 1;9(4):e93751. doi: 10.1371/journal.pone.0093751. eCollection 2014.
Parkinson's Disease (PD) is a progressive neurologic disorder that affects movement and balance. Recent studies have revealed the importance of microRNA (miR) in PD. However, the detailed role of miR and its regulation by Transcription Factor (TF) remain unexplored. In this work for the first time we have studied TF-miR-mRNA regulatory network as well as miR co-expression network in PD.
We compared the 204 differentially expressed miRs from microarray data with 73 PD related miRs obtained from literature, Human MicroRNA Disease Database and found a significant overlap of 47 PD related miRs (p-value<0.05). Functional enrichment analyses of these 47 common (Group1) miRs and the remaining 157 (Group2) miRs revealed similar kinds of over-representative GO Biological Processes and KEGG pathways. This strengthens the possibility that some of the Group 2 miRs can have functional roles in PD progression, hitherto unidentified in any study. In order to explore the cross talk between TF, miR and target mRNA, regulatory networks were constructed. Study of these networks resulted in 14 Inter-Regulatory hub miRs whereas miR co-expression network revealed 18 co-expressed hub miRs. Of these 32 hub miRs, 23 miRs were previously unidentified with respect to their association with PD. Hierarchical clustering analysis further strengthens the roles of these novel miRs in different PD pathways. Furthermore hsa-miR-92a appeared as novel hub miR in both regulatory and co-expression network indicating its strong functional role in PD. High conservation patterns were observed for most of these 23 novel hub miRs across different species including human. Thus these 23 novel hub miRs can be considered as potential biomarkers for PD.
Our study identified 23 novel miR markers which can open up new avenues for future studies and shed lights on potential therapeutic targets for PD.
帕金森病(PD)是一种影响运动和平衡的进行性神经疾病。最近的研究揭示了微小RNA(miR)在帕金森病中的重要性。然而,miR的详细作用及其受转录因子(TF)的调控仍未得到探索。在这项工作中,我们首次研究了帕金森病中的TF-miR-mRNA调控网络以及miR共表达网络。
我们将微阵列数据中204个差异表达的miR与从文献、人类微小RNA疾病数据库中获得的73个与帕金森病相关的miR进行比较,发现有47个与帕金森病相关的miR存在显著重叠(p值<0.05)。对这47个共同的(第1组)miR和其余157个(第2组)miR进行功能富集分析,揭示了类似类型的过度代表性GO生物学过程和KEGG通路。这增强了一种可能性,即第2组中的一些miR可能在帕金森病进展中具有功能作用,而在任何研究中迄今尚未被发现。为了探索TF、miR和靶mRNA之间的相互作用,构建了调控网络。对这些网络的研究产生了14个相互调控的枢纽miR,而miR共表达网络揭示了18个共表达的枢纽miR。在这32个枢纽miR中,有23个miR与帕金森病的关联此前未被发现。层次聚类分析进一步强化了这些新miR在不同帕金森病通路中的作用。此外,hsa-miR-92a在调控网络和共表达网络中均作为新的枢纽miR出现,表明其在帕金森病中具有强大的功能作用。在包括人类在内的不同物种中观察到这23个新枢纽miR中的大多数具有高度保守模式。因此,这23个新枢纽miR可被视为帕金森病的潜在生物标志物。
我们的研究鉴定出23个新的miR标志物,可为未来研究开辟新途径,并为帕金森病的潜在治疗靶点提供线索。