ArticleNucleic acids research2026
RegNetwork 2025: an integrative data repository for gene regulatory networks in human and mouse.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Review
- Hidden causal inference delineates dynamic lncRNA regulation in autism spectrum disorder.Briefings in bioinformatics · 2026Article
- VPS37A loss creates CASP8-dependent vulnerability via the MAP3K7-NF-κB-CFLAR axis.Cancer gene therapy · 2026Article
- TSProm: deep learning framework to predict tissue-specific regulatory logic.NAR genomics and bioinformatics · 2026Article
- CNet-Cox for interpretable network biomarker discovery and survival risk scoring in precise breast cancer prognosis.NPJ digital medicine · 2026Article
- Identification and bioinformatic functional analysis of novel and known polymorphisms in the myostatin gene of Ukrainian Carpathian Mountain sheep.Scientific reports · 2026Article
- FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.Nature communications · 2026Article
- GeneReL: a large language model-powered platform for gene regulatory relationship extraction with community curation.Database : the journal of biological databases and curation · 2026Article
- A blood-based four-gene diagnostic signature for Kashin-Beck disease revealed by multi-cohort transcriptomic analysis and machine learning.Frontiers in immunology · 2026Article
- Decoding cell fate: integrated experimental and computational analysis at the single-cell level.Bioinformatics (Oxford, England) · 2025Review
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Authors and funding
5 authors.
Funding
Abstract
RegNetwork is an open-source gene regulatory network (GRN) database that comprehensively curates regulatory relationships among transcription factors (TFs), microRNAs (miRNAs), and genes in human and mouse. Establishing a systematic GRN database is pivotal for advancing researchers' understanding of gene interactions. Currently, regulatory interactions are scattered across diverse data resources, posing significant hurdles for their efficient utilization. Consequently, integrating various data types and accurately annotating them with confidence scores has become imperative. In this updated version, we have extensively revised regulatory relationships among TFs, miRNAs, and genes, introducing novel datasets involving long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs). As of now, RegNetwork 2025 comprises 125 319 nodes, including 76 156 for human and 49 163 for mouse, along with 11 107 799 regulatory interactions, including 7 712 347 for human and 3 395 452 for mouse. Compared to its predecessor, RegNetwork 2025 has witnessed an over 95% increase in the total number of regulatory interactions. Furthermore, we have devised a scoring system to quantify the reliability of regulatory relationships, enabling us to assemble a more trustworthy core dataset for users. The incorporation of lncRNA and circRNA has enriched the regulatory interaction types in RegNetwork 2025 and enhanced the accessibility of diverse data types. Data are freely available at http://www.zpliulab.cn/RegNetwork/home.
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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.