Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

MicroRNA and Transcription Factor Mediated Regulatory Network Analysis Reveals Critical Regulators and Regulatory Modules in Myocardial Infarction

10 Aug 2015

Abstract excerpt

Myocardial infarction (MI) is a severe coronary artery disease and a leading cause of mortality and morbidity worldwide. However, the molecular mechanisms of MI have yet to be fully elucidated. In this study, we compiled MI-related genes, MI-related microRNAs (miRNAs) and known human transcription factors (TFs), and we then identified 1,232 feed-forward loops (FFLs) among these miRNAs, TFs and their co-regulated...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cardiac Fibrosis and Remodeling
Share to MicroRNA in disease regulation
Share to Signaling Pathways in Disease

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 26258537
DOI: 10.1371/journal.pone.0135339

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MicroRNA and Transcription Factor Mediated Regulatory Network Analysis Reveals Critical Regulators and Regulatory Modules in Myocardial InfarctionPMID 26258537Read ↗

Identification and Interaction Analysis of Molecular Markers in Myocardial Infarction by Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Regulatory network analysis based on integrated miRNA-TF reveals key genes in heart failureSemantic proximity Read ↗

Identification of Key Genes Involved in Acute Myocardial Infarction by Comparative Transcriptome AnalysisSemantic proximity Read ↗

MiR-106b and MiR-15b Modulate Apoptosis and Angiogenesis in Myocardial InfarctionSemantic proximity Read ↗

Biomarkers identification for acute myocardial infarction detection via weighted gene co-expression network analysisSemantic proximity Read ↗

Single-cell transcriptomics and machine learning reveal RNF144B and C5AR1 as immune-related biomarkers and therapeutic targets in myocardial infarctionSemantic proximity Read ↗

Identification of Key Genes and Signaling Pathways Involved in Acute Myocardial Infarction and Potential Biomarkers of Its Consequent Heart Failure Based On Bioinformatics AnalysisSemantic proximity Read ↗

The Role of Transcription Factors in Coronary Artery Disease and Myocardial InfarctionSemantic proximity Read ↗

The biomarkers of key miRNAs and target genes associated with acute myocardial infarctionSemantic proximity Read ↗

Identification of ceRNA (lncRNA-miRNA-mRNA) Regulatory Network in Myocardial Fibrosis After Acute Myocardial InfarctionSemantic proximity Read ↗

Gene regulatory network analysis identifies key genes and regulatory mechanisms involved in acute myocardial infarction using bulk and single cell RNA-seq dataSemantic proximity Read ↗

Integrated RNA gene expression analysis identified potential immune-related biomarkers and RNA regulatory pathways of acute myocardial infarctionSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.