ArticleNature methods2016
Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases.
Article in Nature methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers.
What it found
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Who cites it
185 citing papers in PubMed.
- Histone marks identify novel transcription factors that parse CAR-T subset-of-origin, clinical potential and expansion.Nature communications · 2024Trial
- Combinatorial transcription factor interactions drive modular gene regulatory networks.bioRxiv : the preprint server for biology · 2026Article
- Bacterial gene regulatory neural network as a biocomputing library of mathematical solvers.NPJ systems biology and applications · 2026Article
- Functional insights into dispensable genes using genome-wide loss-of-function burden tests in Arabidopsis.The Plant cell · 2026Article
- Perinatal brain developmental transition revealed by transcriptomic and proteomic analyses of Bama miniature pigs.Nature communications · 2026Article
- Finding Significant Hits in Networks: a network-based tool for analyzing gene-level P-values to identify significant genes missed by standard methods.Briefings in bioinformatics · 2026Article
- Chromatin accessibility landscapes define stromal cell identities across tissues.Communications biology · 2026Article
- Unravelling the molecular mechanisms causal to type 2 diabetes across global populations and disease-relevant tissues.Nature metabolism · 2026Article
- A DSSM network for inferring and prioritizing cell-type-specific regulons using single-cell RNA-seq data.BMC bioinformatics · 2025Article
- A comparison of computational methods for expression forecasting.Genome biology · 2025Article
- Regulatory Genomic Circuitry of Brain Age by Integrative Functional Genomic Analyses.Genomics, proteomics & bioinformatics · 2025Article
- Combining Motifs, CRE Activity, And Gene Expression Data Using ML Greatly Improves the Accuracy of Tissue-Specific TF Network Maps.bioRxiv : the preprint server for biology · 2025Article
- Systemic Neurodegeneration and Brain Aging: Multi-Omics Disintegration, Proteostatic Collapse, and Network Failure Across the CNS.Biomedicines · 2025Review
- Gene-Embedded Multi-Modal Networks for Population-Scale Multi-Omics Discovery.bioRxiv : the preprint server for biology · 2025Article
- Accurate Transcription Factor Activity Inference to Decipher Cell Identity from Single-Cell Transcriptomic Data with MetaTF.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Insights into the molecular underpinning of type 2 diabetes complications.Human molecular genetics · 2025Review
- Multiplex genome editing eliminates lactate production without impacting growth rate in mammalian cells.Nature metabolism · 2025Article
- Uncovering cell-type-specific immunomodulatory variants and molecular phenotypes in COVID-19 using structurally resolved protein networks.Cell reports · 2024Article
- Tissue-aware interpretation of genetic variants advances the etiology of rare diseases.Molecular systems biology · 2024Article
- Pan-Cancer Drug Response Prediction Using Integrative Principal Component Regression.Statistics in biosciences · 2024Article
125 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Mapping perturbed molecular circuits that underlie complex diseases remains a great challenge. We developed a comprehensive resource of 394 cell type- and tissue-specific gene regulatory networks for human, each specifying the genome-wide connectivity among transcription factors, enhancers, promoters and genes. Integration with 37 genome-wide association studies (GWASs) showed that disease-associated genetic variants--including variants that do not reach genome-wide significance--often perturb regulatory modules that are highly specific to disease-relevant cell types or tissues. Our resource opens the door to systematic analysis of regulatory programs across hundreds of human cell types and tissues (http://regulatorycircuits.org).
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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.