ReviewBioMed research international2017
Methods of MicroRNA Promoter Prediction and Transcription Factor Mediated Regulatory Network.
Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed.
- 2OMe-LM: predicting 2'-O-methylation sites in human RNA using a pre-trained RNA language model.Bioinformatics (Oxford, England) · 2025Article
- Identification of Key Genes Related to Immune-Lipid Metabolism in Skin Barrier Damage and Analysis of Immune Infiltration.Inflammation · 2025Article
- Replenishing co-downregulated miR-100-5p and miR-125b-5p in malignant germ cell tumors causes growth inhibition through cell cycle disruption.Molecular oncology · 2025Article
- MicroRNA-138: an emerging regulator of skeletal development, homeostasis, and disease.American journal of physiology. Cell physiology · 2023Review
- The CXCR4/miR-1910-5p/MMRN2 Axis Is Involved in Corneal Neovascularization by Affecting Vascular Permeability.Investigative ophthalmology & visual science · 2023Article
- Computational prediction of promotors inFrontiers in microbiology · 2023Article
- iSnoDi-LSGT: identifying snoRNA-disease associations based on local similarity constraints and global topological constraints.RNA (New York, N.Y.) · 2022Article
- HLGNN-MDA: Heuristic Learning Based on Graph Neural Networks for miRNA-Disease Association Prediction.International journal of molecular sciences · 2022Article
- CRISPRi for specific inhibition of miRNA clusters and miRNAs with high sequence homology.Scientific reports · 2022Article
- MicroRNA expression profile in bovine mammary gland parenchyma infected by coagulase-positive or coagulase-negative staphylococci.Veterinary research · 2021Article
- iAIPs: Identifying Anti-Inflammatory Peptides Using Random Forest.Frontiers in genetics · 2021Article
- Integrated Learning: Screening Optimal Biomarkers for Identifying Preeclampsia in Placental mRNA Samples.Computational and mathematical methods in medicine · 2021Article
- Application of Multilayer Network Models in Bioinformatics.Frontiers in genetics · 2021Review
- PMDFI: Predicting miRNA-Disease Associations Based on High-Order Feature Interaction.Frontiers in genetics · 2021Article
- Detection of circRNA Biomarker for Acute Myocardial Infarction Based on System Biological Analysis of RNA Expression.Frontiers in genetics · 2021Article
- Identification of Methicillin-Resistant Staphylococcus Aureus From Methicillin-Sensitive Staphylococcus Aureus and Molecular Characterization in Quanzhou, China.Frontiers in cell and developmental biology · 2021Article
- Recent Advances in Predicting Protein S-Nitrosylation Sites.BioMed research international · 2021Review
- MicroRNA-302a is involved in folate deficiency-induced apoptosis through the AKT-FOXO1-BIM pathway in mouse embryonic stem cells.Nutrition & metabolism · 2020Article
- Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information.Molecular therapy. Nucleic acids · 2020Article
- Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are short (~22 nucleotides) noncoding RNAs and disseminated throughout the genome, either in the intergenic regions or in the intronic sequences of protein-coding genes. MiRNAs have been proved to play important roles in regulating gene expression. Hence, understanding the transcriptional mechanism of miRNA genes is a very critical step to uncover the whole regulatory network. A number of miRNA promoter prediction models have been proposed in the past decade. This review summarized several most popular miRNA promoter prediction models which used genome sequence features, or other features, for example, histone markers, RNA Pol II binding sites, and nucleosome-free regions, achieved by high-throughput sequencing data. Some databases were described as resources for miRNA promoter information. We then performed comprehensive discussion on prediction and identification of transcription factor mediated microRNA regulatory networks.
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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.