ReviewCell systems2017
Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity.
Review in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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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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
40 citing papers in PubMed.
- Enabling molecular signaling with temperature and ionic-strength independence or programmable dependence.Nature communications · 2026Article
- Age-independent and targetable transcription factor networks regulating CD8Cell reports · 2026Article
- Deciphering the Molecular Interactions of Tuberculosis and Colorectal Cancer: A Network and RNA-Seq Data Analysis Approach.Anti-cancer agents in medicinal chemistry · 2026Article
- Gene dosage and protein valency impact phase separation and fungal cell fate.PLoS genetics · 2025Article
- Transcription factors in the development and treatment of immune disorders.Transcription · 2025Review
- Integrated transcriptomic analysis of human induced pluripotent stem cell-derived osteogenic differentiation reveals a regulatory role of KLF16.bioRxiv : the preprint server for biology · 2025Article
- Sex-specific transcriptomic effects of low-dose inorganic arsenic exposure on bone marrow-derived macrophages.Toxicology · 2025Article
- Shared Genetic Characteristics of Coronary Artery Disease and Peripheral artery Disease: Insights From Integrated Bioinformatics Analysis of RNA-Sequencing Data.Bioinformatics and biology insights · 2025Article
- Gene regulatory networks in disease and ageing.Nature reviews. Nephrology · 2024Review
- Multi-omics profiling of retinal pigment epithelium reveals enhancer-driven activation of RANK-NFATc1 signaling in traumatic proliferative vitreoretinopathy.Nature communications · 2024Article
- Predicting Transcription Factor Binding Sites with Deep Learning.International journal of molecular sciences · 2024Article
- Individual transcription factors modulate both the micromovement of chromatin and its long-range structure.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Identification and characterization of Hand2 upstream genomic enhancers active in developing stomach and limbs.Developmental dynamics : an official publication of the American Association of Anatomists · 2024Article
- Transcriptional regulation of the HIV-1 inhibitory factor human mannose receptor 1 by the myeloid-specific transcription factor PU.1.Journal of virology · 2024Article
- Transcription factor network dynamics during the commitment to oncogene-induced senescence.Frontiers in epigenetics and epigenomics · 2024Article
- The single-cell transcriptome of mTECs and CD4Frontiers in immunology · 2024Article
- A Bayesian noisy logic model for inference of transcription factor activity from single cell and bulk transcriptomic data.NAR genomics and bioinformatics · 2023Article
- An extended transcription factor regulatory network controls hepatocyte identity.EMBO reports · 2023Article
- Transcription factors and splice factors - interconnected regulators of stem cell differentiation.Current stem cell reports · 2023Article
- Escape from oncogene-induced senescence is controlled by POU2F2 and memorized by chromatin scars.Cell genomics · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Transcription factor (TF) networks are a key determinant of cell fate decisions in mammalian development and adult tissue homeostasis and are frequently corrupted in disease. However, our inability to experimentally resolve and interrogate the complexity of mammalian TF networks has hampered the progress in this field. Recent technological advances, in particular large-scale genome-wide approaches, single-cell methodologies, live-cell imaging, and genome editing, are emerging as important technologies in TF network biology. Several recent studies even suggest a need to re-evaluate established models of mammalian TF networks. Here, we provide a brief overview of current and emerging methods to define mammalian TF networks. We also discuss how these emerging technologies facilitate new ways to interrogate complex TF networks, consider the current open questions in the field, and comment on potential future directions and biomedical applications.
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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.