ReviewCell2015
Making sense of transcription networks.
Review in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
78 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-omic network analysis identified betacellulin as a novel target of omega-3 fatty acid attenuation of western diet-induced nonalcoholic steatohepatitis.EMBO molecular medicine · 2023Pooled it
- Article
- Truncating the time-evolving discrete chemical master equation for stochastic biological networks.Biophysical journal · 2026Article
- Gene regulatory and biomolecular networks and their multifaceted biotechnological applications.World journal of microbiology & biotechnology · 2026Review
- Expanding the fly eye gene regulatory network: From Drosophila to the hoverfly Episyrphus balteatus.PLoS genetics · 2026Article
- Improving DirectLiNGAM for high-dimensional microbiome data: roots screening and eBIC based model selection.Frontiers in systems biology · 2026Article
- A species-specific tale of quantitative disease resistance (QDR) in tomato.The Plant cell · 2025Article
- Gene dosage and protein valency impact phase separation and fungal cell fate.PLoS genetics · 2025Article
- Synthetic Forms Most Beautiful: Engineering Insights into Self-Organization.Physiology (Bethesda, Md.) · 2025Review
- When HSFs bring the heat-mapping the transcriptional circuitries of HSF-type regulators inmSphere · 2025Review
- Gene network centrality analysis identifies key regulators coordinating day-night metabolic transitions inFrontiers in microbiology · 2025Article
- Article
- A DNA base-specific sequence interposed between CRX and NRL contributes to RHODOPSIN expression.Scientific reports · 2024Article
- An integrated transcription factor framework for Treg identity and diversity.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Natural Transposable Element Insertions Contribute to Host Fitness in Model Yeasts.Genome biology and evolution · 2024Article
- The duplication of genomes and genetic networks and its potential for evolutionary adaptation and survival during environmental turmoil.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Inferring gene regulatory networks using transcriptional profiles as dynamical attractors.PLoS computational biology · 2023Article
- Ancient transcriptional regulators can easily evolve new pair-wise cooperativity.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Evolution of a new form of haploid-specific gene regulation appearing in a limited clade of ascomycete yeast species.Genetics · 2023Article
- Reinforcement amid genetic diversity in the Candida albicans biofilm regulatory network.PLoS pathogens · 2023Article
18 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
2 authors.
Funding
Abstract
When transcription regulatory networks are compared among distantly related eukaryotes, a number of striking similarities are observed: a larger-than-expected number of genes, extensive overlapping connections, and an apparently high degree of functional redundancy. It is often assumed that the complexity of these networks represents optimized solutions, precisely sculpted by natural selection; their common features are often asserted to be adaptive. Here, we discuss support for an alternative hypothesis: the common structural features of transcription networks arise from evolutionary trajectories of "least resistance"--that is, the relative ease with which certain types of network structures are formed during their evolution.
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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.