Dataset Information

Construction of a microRNA?associated feed?forward loop network that identifies regulators of cardiac hypertrophy and acute myocardial infarction.

ABSTRACT: Feed?forward loops (FFLs) are three?gene modules that exert significant effects on a series of biological processes and carcinogenesis development. MicroRNA?associated FFLs (miR?FFLs) represent a new era in disease research. However, analysis of the miR?FFL network motifs has yet to be systematically performed, and their potential role in cardiac hypertrophy and acute myocardial infarction (AMI) requires investigation. The present study used a computational method to establish a comprehensive miR?FFL network for cardiac hypertrophy and AMI, by integrating high?throughput data from different sources and performing multi?aspect analysis of the network features. Several heart disease?associated miR?FFL motifs were identified that were specific or common to the two diseases investigated. Functional analysis further revealed that miR?FFL motifs provided specific drug targets for the clinical treatment of cardiac hypertrophy and AMI. Associations between specific drugs associated with heart disease and dysregulated FFLs were also identified. The present study highlighted the components of FFL motifs in cardiac hypertrophy and AMI, and revealed their possibility as heart disease biomarkers and novel treatment targets.

SUBMITTER: Qu W

PROVIDER: S-EPMC6108862 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Construction of a microRNA‑associated feed‑forward loop network that identifies regulators of cardiac hypertrophy and acute myocardial infarction.

Qu Wenbo W Shi Shuai S Sun Lixiu L Zhang Fan F Zhang Shengming S Mu Shuainan S Zhao Yanru Y Liu Bingchen B Cao Xue X

International journal of molecular medicine 20180720 4

Feed‑forward loops (FFLs) are three‑gene modules that exert significant effects on a series of biological processes and carcinogenesis development. MicroRNA‑associated FFLs (miR‑FFLs) represent a new era in disease research. However, analysis of the miR‑FFL network motifs has yet to be systematically performed, and their potential role in cardiac hypertrophy and acute myocardial infarction (AMI) requires investigation. The present study used a computational method to establish a comprehensive mi ...[more]

PMID: 30066833

Similar Datasets

Project description:Ischemic stroke (IS) accounts for the leading cause of disability and mortality in China. Increasing researchers are studying the effects of neuroprotective agents on IS. However, the molecular mechanisms of feed-forward loops (FFLs) associated with neuroprotection in the pathogenesis of IS need to be further studied. A protein-protein interaction (PPI) network of IS immune genes was constructed to decipher the characters and excavate 3 hub genes (PI3K, IL6, and TNF) of immunity. Then, we identified two hub clusters of IS immune genes, and the cytokine-cytokine receptor interaction pathway was discovered on the pathway enrichment results of both clusters. Combined with GO enrichment analysis, the cytokines participate in the inflammatory response in the extracellular space of IS patients. Next, a transcription factor (TF)-miRNA-immune gene network (TMIGN) was established by extracting four regulatory pairs (TF-miRNA, TF-gene, miRNA-gene, and miRNA-TF). Then, we detected 3-node regulatory motif types in the TMIGN network. According to the criteria we set for defining 3-node motifs, the motif with the highest Z-score (3-node composite FFL) was picked as the statistically evident motif, which was merged to construct an immune-associated composite FFL motif-specific sub-network (IA-CFMSN), which contained 21 3-node FFLs composed of 13 miRNAs, 4 TFs, 9 immune genes, and 1 TF& immune gene, among which TP53 and VEGFA were prominent TF and immune gene, respectively. In addition, the immune genes in IA-CFMSN were used for identifying associated pathways and drugs to further clarify the immune regulation mechanism and neuroprotection after IS. As a result, 5 immune genes targeted by 20 drugs were identified and the Angiotensin II Receptor Blockers (ARBs) target AGTR1 was found to be a neuroprotective drug for IS. In the present study, the construction of IA-CFMSN provides IS immune-associated FFLs for further experimental studies, providing new prospects for the discovery of new biomarkers and potential drugs for IS.

Dataset Information

Construction of a microRNA?associated feed?forward loop network that identifies regulators of cardiac hypertrophy and acute myocardial infarction.

Publications

Construction of a microRNA‑associated feed‑forward loop network that identifies regulators of cardiac hypertrophy and acute myocardial infarction.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets