ArticleCell2012
Circuitry and dynamics of human transcription factor regulatory networks.
Article in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 279 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.
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Who cites it
279 citing papers in PubMed, 485 citations in OpenAlex.
- Article
- Inferring cell-specific gene regulatory networks based on causal graph embedding.Cell reports methods · 2026Article
- Combinatorial transcription factor interactions drive modular gene regulatory networks.bioRxiv : the preprint server for biology · 2026Article
- From time-course expression to gene regulation: direct linear ODE inference without finite-difference approximation.bioRxiv : the preprint server for biology · 2026Article
- Functional impact of genetic background on variable expressivity in neurodevelopmental disorders.Nature communications · 2026Article
- Transcriptional regulatory network analysis uncovers modular gene control and potential key regulators in diabetic cardiomyopathy.Frontiers in cell and developmental biology · 2026Article
- Genome-wide investigation of transcription factor footprints and dynamics using cFOOT-seq.Protein & cell · 2025Article
- Multifaceted regulation of the HOX cluster and its implications in oral cancer.Clinical epigenetics · 2025Article
- Inference of gene coexpression networks from single-cell transcriptome data based on variance decomposition analysis.Briefings in bioinformatics · 2025Article
- Cell identity and 5-hydroxymethylcytosine.Epigenetics & chromatin · 2025Review
- Accurate Transcription Factor Activity Inference to Decipher Cell Identity from Single-Cell Transcriptomic Data with MetaTF.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Deep learning-based cell-specific gene regulatory networks inferred from single-cell multiome data.Nucleic acids research · 2025Article
- The Core Circadian Clock Factor, Bmal1, Transduces Sex-specific Differences in Both Rhythmic and Nonrhythmic Gene Expression in the Mouse Heart.Function (Oxford, England) · 2025Article
- Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data.Nature biotechnology · 2025Article
- The proximity-based protein interactome and regulatory logics of the transcription factor p65 NF-κB/RELA.EMBO reports · 2025Article
- KAS-ATAC reveals the genome-wide single-stranded accessible chromatin landscape of the human genome.Genome research · 2025Article
- Unmeasured human transcription factor ChIP-seq data shape functional genomics and demand strategic prioritization.Briefings in functional genomics · 2025Article
- Single-cell RNA sequencing reveals the impaired epidermal differentiation and pathological microenvironment in diabetic foot ulcer.Burns & trauma · 2025Article
- Article
- Intermittent fasting shifts the diurnal transcriptome atlas of transcription factors.Molecular and cellular biochemistry · 2025Article
219 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The combinatorial cross-regulation of hundreds of sequence-specific transcription factors (TFs) defines a regulatory network that underlies cellular identity and function. Here we use genome-wide maps of in vivo DNaseI footprints to assemble an extensive core human regulatory network comprising connections among 475 sequence-specific TFs and to analyze the dynamics of these connections across 41 diverse cell and tissue types. We find that human TF networks are highly cell selective and are driven by cohorts of factors that include regulators with previously unrecognized roles in control of cellular identity. Moreover, we identify many widely expressed factors that impact transcriptional regulatory networks in a cell-selective manner. Strikingly, in spite of their inherent diversity, all cell-type regulatory networks independently converge on a common architecture that closely resembles the topology of living neuronal networks. Together, our results provide an extensive description of the circuitry, dynamics, and organizing principles of the human TF regulatory network.
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What OpenQuestion holds
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.