Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity
Open accessAbstract
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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Core transcriptional regulatory circuitries self-sustain high expression of identity transcription factors and their target effector genes and are involved in continuous modulation of the hepatic transcriptome in response to environmental stimuli.
“Indeed, CoRCs allows to self‐sustain high expression of identity TFs and their target effector genes in addition to being involved in the continuous modulation of the hepatic transcriptome in response to environmental stimuli (Boyer et al, 2005; Arendt et al, 2016; Wilkinson et al, 2017; Almeida et al, 2021).”
From An extended transcription factor regulatory network controls hepatocyte identity (2023) · cites this paper as Wilkinson et al, 2017
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“Gene expression liver specificity was computed using data from the BioGPS Mouse MOE430 Gene Atlas (Wu et al , 2016) by dividing the normalized expression in the liver by the average normalized expression in other tissues (Dataset EV2).”
- Authors
- Wilkinson, A. C., Nakauchi, H., & Göttgens, B.
- Affiliations
- Institute for Stem Cell Biology and Regenerative Medicine (US)
- Stanford Medicine (US)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- Corresponding author
- Göttgens, Berthold
- Venue
- Cell Systems
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 5
- Issue
- 4
- Pages
- 319-331
- ISSN
- 2405-4712 (ISSN-L)
- PMC
- PMC5928788
- OpenAlex
- W2741314653
- Cited by
- 76
- References
- 27
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 8 · 2023: 16 · 2022: 5 · 2021: 11 · 2020: 8 · 2019: 14 · 2018: 1
- FWCI
- 0.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Systems (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by-nc-nd)
- Apollo
- Funders
- Bloodwise Visiting Fellowship (15050)
- NIH-NCATS (UL1 TR001085)
- Japan Science and Technology Agency
- California Institute of Regenerative Medicine (LA1-06917, DISC2-08874)
- Ludwig Foundation (12029)
- Cancer Research UK (C1163/A12765, C1163/A21762)
- Wellcome Trust (105031/D/14/Z, 097922/Z/11/Z)
- MRC (MR/M008975/1)
- NIH-NIDDK (R24 DK106766-01)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- transcriptional regulatory networks, mammalian development, tissue homeostasis, cell fate determination, single-cell transcriptomics, live-cell imaging, genome editing
- MeSH terms
- Gene Editing, Animals, Gene Expression Regulation, Mammals, Transcription Factors, Genome, Gene Regulatory Networks
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