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A Novel Microrna and Transcription Factor Mediated Regulatory Network in Schizophrenia An-Yuan Guo1, Jingchun Sun1,2, Peilin Jia1,2, Zhongming Zhao1,2,3*

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A Novel Microrna and Transcription Factor Mediated Regulatory Network in Schizophrenia An-Yuan Guo1, Jingchun Sun1,2, Peilin Jia1,2, Zhongming Zhao1,2,3* Guo et al. BMC Systems Biology 2010, 4:10 http://www.biomedcentral.com/1752-0509/4/10 RESEARCH ARTICLE Open Access A Novel microRNA and transcription factor mediated regulatory network in schizophrenia An-Yuan Guo1, Jingchun Sun1,2, Peilin Jia1,2, Zhongming Zhao1,2,3* Abstract Background: Schizophrenia is a complex brain disorder with molecular mechanisms that have yet to be elucidated. Previous studies have suggested that changes in gene expression may play an important role in the etiology of schizophrenia, and that microRNAs (miRNAs) and transcription factors (TFs) are primary regulators of this gene expression. So far, several miRNA-TF mediated regulatory modules have been verified. We hypothesized that miRNAs and TFs might play combinatory regulatory roles for schizophrenia genes and, thus, explored miRNA- TF regulatory networks in schizophrenia. Results: We identified 32 feed-forward loops (FFLs) among our compiled schizophrenia-related miRNAs, TFs and genes. Our evaluation revealed that these observed FFLs were significantly enriched in schizophrenia genes. By converging the FFLs and mutual feedback loops, we constructed a novel miRNA-TF regulatory network for schizophrenia. Our analysis revealed EGR3 and hsa-miR-195 were core regulators in this regulatory network. We next proposed a model highlighting EGR3 and miRNAs involved in signaling pathways and regulatory networks in the nervous system. Finally, we suggested several single nucleotide polymorphisms (SNPs) located on miRNAs, their target sites, and TFBSs, which may have an effect in schizophrenia gene regulation. Conclusions: This study provides many insights on the regulatory mechanisms of genes involved in schizophrenia. It represents the first investigation of a miRNA-TF regulatory network for a complex disease, as demonstrated in schizophrenia. Background factors (TFs) are main regulators of gene expression. Schizophrenia is a complex, chronic and severe brain MiRNAs are short endogenous noncoding RNAs that disorder. So far, its pathophysiology and molecular mediate post transcriptional regulation and regulate a mechanisms have remained poorly understood [1]. In wide range of biological processes and diseases [4,5]. In the last decade numerous linkage and association stu- the nervous system, studies have reported involvement dies, including a few genome-wide association studies of miRNAs in brain development, neuronal differentia- (GWAS), have been performed to identify genetic pre- tion, and synaptic plasticity, all processes that have been dispositions to the disease, but most studies have been implicated in neurological syndromes such as schizo- inconclusive. The limited success in the detection of phrenia, fragile × syndromes, Parkinson’s disease and genetic factors led us to hypothesize that schizophrenia Huntington’s disease [5]. Specifically, 18 miRNAs were is likely caused by the altered expression of many genes, recently found to be differentially expressed in post- which may individually contribute only a small risk, but mortem brain samples of schizophrenia patients and may in aggregate interact at the biological pathway or controls [6,7]. Interestingly, a case-control association gene-network level. study revealed that two single nucleotide polymorphisms Recently, patterns of differential gene expression have (SNPs) in miRNAs hsa-miR-206 and hsa-miR-198 were been identified between schizophrenia case and control significantly associated with schizophrenia [8]. Further- samples [2,3]. MicroRNAs (miRNAs) and transcription more, brain miRNAs affected by a microdeletion synte- nic to human 22q11.2 were found in mouse models and * Correspondence: [email protected] human individuals carrying this microdeletion are at 1Department of Biomedical Informatics, Vanderbilt University School of high risk of developing schizophrenia [9]. It has also Medicine, Nashville, TN, USA © 2010 Guo et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Guo et al. BMC Systems Biology 2010, 4:10 Page 2 of 14 http://www.biomedcentral.com/1752-0509/4/10 been reported that miRNA hsa-miR-195 regulates BDNF construction. We first compiled a list of 20 experimen- and alters the expression of downstream GABAergic tally verified schizophrenia related miRNAs (SZmiR- transcripts in schizophrenia [10]. Most recently, studies NAs), which matched 21maturemiRNAsand29 found that a miRNA regulates signaling downstream miRNA precursors (Table 1). Most of the 29 SZmiRNAs from the NMDA receptor, suggesting miRNAs as a new are conserved in vertebrate genomes and 9 are even mechanism for altering brain gene expression in schizo- conserved in Drosophila. Only one (hsa-miR-198) is pri- phrenia [11,12]. This accumulating data suggests that mate-specific and two (hsa-miR-195 and hsa-miR-206) miRNAs may play important roles in the expression of are mammal-specific. Sixteen SZmiRNAs (55%) were genes linked to schizophrenia. found in miRNA clusters. For comparison, we also col- Transcription factors are essential regulators of gene lected and curated 87 brain expressed and 79 non-brain expression in all living organisms. A TF regulates tran- expressed mature miRNAs, which corresponded to 105 scription of its target gene by specifically binding to the and 94 miRNA precursors, respectively (see Additional transcription factor binding site (TFBS) in the gene’s file 1). promoter region. Since expression of an miRNA may be We predicted miRNA targets in SZGenes by parsing regulated by a TF [13], TF and miRNA may reciprocally TargetScan prediction results. Among the 160 SZGenes, regulate one another to form feedback loops, or alterna- 61 were potential targets of our complied 29 SZmiR- tively, both TF and miRNA may regulate their target NAs. Figure 2 displays these miRNA and target pairs. genes and form feed-forward loops (FFLs). Two recent Among the 61 target genes, the top three genes targeted studies explored hundreds of potential miRNA-mediated by the largest number of SZmiRNAs were EGR3, feedback and feed-forward loops at the genome level in DPYSL2 and CNR1, which were targeted by 15, 13 and mammals and found some interesting regulatory motifs 11 SZmiRNAs, respectively. Among the 29 SZmiRNAs, [14,15]. Besides, Martinez et al.[16]combinedexperi- the miRNAs targeting the largest number of SZGenes mental and computational methods and identified 23 were hsa-miR-198, miRNAs in miR-30 family and hsa- miRNA-TF composite feedback loops in C. elegans. Sev- miR-195, which targeted 23, 14 and 11 genes, respec- eral feedback loops and FFLs have been experimentally tively (see Additional file 2: Table S1). Hsa-miR-198 had verified in mammals, such as feedback loops between the largest number of targets because it is a primate- ZEB1/SIP1 and miR-200 family in embryological devel- specific miRNA and the predicted target sites may not opment, E2Fs and miR-17/20 in cellular apoptosis, be conserved with a high false positive rate. PITX3 and miR-133b in midbrain dopamine neurons, To test whether we observed more SZmiRNA targets and a FFL E2Fs-Myc-miR-17/20 [17-19]. These studies in the 160 SZGenes, we ran a permutation to count the were performed at the whole genome level by a compu- number of targets of each SZmiRNA in 160 randomly tational approach or for specific FFLs by experimental selected genes, and repeated this process 10,000 times. validation, rather than a comprehensive miRNA- Most (25 of 29, 86.2%) of SZmiRNAs had a significantly mediated network analysis for a specific complex disease larger number of targets in SZGenes than randomly or tissue. selected genes (t-test, p-value < 0.001), while hsa-miR- In this study, we explored miRNA-TF regulatory net- 206 had fewer targets in SZGenes and the difference for works in schizophrenia. Among schizophrenia candidate 3 miRNAs in hsa-miR-7 family was not significant (see genes (SZGenes), we identified the potential targets of Additional file 2: Fig. S1). TFs and schizophrenia related miRNAs. These datasets Using stringent criteria (Z score >2.33 in UCSC Gen- and their regulations were used for miRNA-mediated ome Browser) and conservation among the human, feedbackandfeed-forwardloopanalysis.Werevealed mouse and rat genomes, we obtained 517 TFBSs in the some schizophrenia related miRNA-TF regulatory mod- promoter regions of 115 of the 160 SZGenes and 184 ules and constructed a converged miRNA-TF regulatory TFBSs in the promoter regions of 18 of the 29 SZmiR- network in which EGR3 and hsa-miR-195 served as core NAs.Amongthe115SZGenes,79(68.7%)hadfewer regulators. By combining miRNA-TF network analysis than 5 TFBSs and 10 (8.7%) had more than 10 TFBSs. and literature survey, we proposed a pathway model Among the SZmiRNAs, hsa-miR-212 and hsa-miR-195 highlighting EGR3 and miRNAs involving in the signal had more than 20 TFBSs (see Additional file 2: Fig. S2). transduction and regulatory pathways in schizophrenia. These observations seemed to reflect a complex regula- tion of schizophrenia related genes, TFBSs and miRNAs. Results miRNAs and TFBSs Feed-forward loops (FFLs) in schizophrenia Our goal is to explore miRNA and TF regulation in We obtained 32 FFLs when we combined the regulatory schizophrenia genes. Figure 1 provides an overview of relationship of SZGenes, SZmiRNAs and TFBSs miRNA and TF mediated
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