ArticleBioMed research international2016
Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression.
Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- MicroRNAs as Mediators of Mechanotransduction: from Fundamental Mechanisms to Therapeutic Applications.Cell biochemistry and biophysics · 2026Review
- Identification and Validation of the miR/RAS/RUNX2 Autophagy Regulatory Network in AngII-Induced Hypertensive Nephropathy in MPC5 Cells Treated with Hydrogen Sulfide Donors.Antioxidants (Basel, Switzerland) · 2024Article
- Deciphering the Molecular Mechanisms of Autonomic Nervous System Neuron Induction through Integrative Bioinformatics Analysis.International journal of molecular sciences · 2023Article
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- Integrated analysis of multiple bioinformatics studies to identify microRNA-target gene-transcription factor regulatory networks in retinoblastoma.Translational cancer research · 2022Article
- Identification of microRNA-mRNA-TF regulatory networks in periodontitis by bioinformatics analysis.BMC oral health · 2022Article
- Regulatory Role of microRNAs Targeting the Transcription Co-Factor ZNF521 in Normal Tissues and Cancers.International journal of molecular sciences · 2021Review
- Investigation of MicroRNA and transcription factor mediated regulatory network for silicosis using systems biology approach.Scientific reports · 2021Article
- Dynamic architecture and regulatory implications of the miRNA network underlying the response to stress in melon.RNA biology · 2020Article
- Identification of MicroRNA-Target Gene-Transcription Factor Regulatory Networks in Colorectal Adenoma Using Microarray Expression Data.Frontiers in genetics · 2020Article
- Review
- MicroRNA‑155 promotes ox‑LDL‑induced autophagy in human umbilical vein endothelial cells by targeting the PI3K/Akt/mTOR pathway.Molecular medicine reports · 2018Article
- Microarray Analysis of the Molecular Mechanism Involved in Parkinson's Disease.Parkinson's disease · 2018Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are endogenous noncoding RNAs which participate in diverse biological processes in animals and plants. They are known to join together with transcription factors and downstream gene, forming a complex and highly interconnected regulatory network. To recognize a few overrepresented motifs which are expected to perform important elementary regulatory functions, we constructed a computational model of miRNA-mediated feedforward loops (FFLs) in which a transcription factor (TF) regulates miRNA and targets gene. Based on the different dynamic interactions between miRNA and TF on gene expression, four possible structural topologies of FFLs with two gate functions (AND gate and OR gate) are introduced. We studied the dynamic behaviors of these different motifs. Furthermore, the relationship between the response time and maximal activation velocity of miRNA was investigated. We found that the curve of response time shows nonmonotonic behavior in Co1 loop with OR gate. This may help us to infer the mechanism of miRNA binding to the promoter region. At last we investigated the influence of important parameters on the dynamic response of system. We identified that the stationary levels of target gene in all loops were insensitive to the initial value of miRNA.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.