ReviewNature reviews. Genetics2014
Evolution of transcription factor binding in metazoans - mechanisms and functional implications.
Review in Nature reviews. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 1 of them a synthesis that pooled it.
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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
123 citing papers in PubMed, 1 synthesis or guideline pooled it, 236 citations in OpenAlex.
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- Lineage-specific evolution of regulatory landscapes in a polyploid plant and its diploid progenitors.bioRxiv : the preprint server for biology · 2026Article
- Deep conservation of cis-regulatory elements and chromatin organization in echinoderms uncover ancestral regulatory features of animal genomes.Nature ecology & evolution · 2026Article
- Widespread low-affinity motifs enhance chromatin accessibility and regulatory potential in mESCs.bioRxiv : the preprint server for biology · 2025Article
- CelEst: a unified gene regulatory network for estimating transcription factor activities in C. elegans.Genetics · 2025Article
- Co-option and neofunctionalization of stomatal executors for defence against herbivores in Brassicales.Nature plants · 2025Article
- MicroRNA-mediated network redundancy is constrained by purifying selection and contributes to expression robustness in Drosophila melanogaster.Communications biology · 2024Article
- Evidence for compensatory evolution within pleiotropic regulatory elements.Genome research · 2024Article
- Understanding species-specific and conserved RNA-protein interactions in vivo and in vitro.Nature communications · 2024Article
- Interspecies regulatory landscapes and elements revealed by novel joint systematic integration of human and mouse blood cell epigenomes.Genome research · 2024Article
- A multi-layered integrative analysis reveals a cholesterol metabolic program in outer radial glia with implications for human brain evolution.Development (Cambridge, England) · 2024Article
- Article
- DNA methylation patterns of transcription factor binding regions characterize their functional and evolutionary contexts.Genome biology · 2024Article
- Divergence of Grainy head affects chromatin accessibility, gene expression, and embryonic viability inbioRxiv : the preprint server for biology · 2024Article
- Evolution of Transcript Abundance is Influenced by Indels in Protein Low Complexity Regions.Journal of molecular evolution · 2024Article
- Temporospatial hierarchy and allele-specific expression of zygotic genome activation revealed by distant interspecific urochordate hybrids.Nature communications · 2024Article
- DNA methylation clocks for clawed frogs reveal evolutionary conservation of epigenetic aging.GeroScience · 2024Article
63 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Differences in transcription factor binding can contribute to organismal evolution by altering downstream gene expression programmes. Genome-wide studies in Drosophila melanogaster and mammals have revealed common quantitative and combinatorial properties of in vivo DNA binding, as well as marked differences in the rate and mechanisms of evolution of transcription factor binding in metazoans. Here, we review the recently discovered rapid 're-wiring' of in vivo transcription factor binding between related metazoan species and summarize general principles underlying the observed patterns of evolution. We then consider what might explain the differences in genome evolution between metazoan phyla and outline the conceptual and technological challenges facing this research field.
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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.