ReviewTrends in genetics : TIG2015
From milliseconds to lifetimes: tracking the dynamic behavior of transcription factors in gene networks.
Review in Trends in genetics : TIG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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
14 citing papers in PubMed.
- Time-series transcriptome analysis reveals the cascade mechanism of biological processes following the perturbation of the MVA pathway in Salvia miltiorrhiza.Plant molecular biology · 2025Article
- Spt20, a Structural Subunit of the SAGA Complex, Regulates Aspergillus fumigatus Biofilm Formation, Asexual Development, and Virulence.Applied and environmental microbiology · 2022Article
- Plant-DTI: Extending the landscape of TF protein and DNA interaction in plants by a machine learning-based approach.Frontiers in plant science · 2022Article
- Time-Based Systems Biology Approaches to Capture and Model Dynamic Gene Regulatory Networks.Annual review of plant biology · 2021Review
- TheNAR genomics and bioinformatics · 2020Article
- Meta Gene Regulatory Networks in Maize Highlight Functionally Relevant Regulatory Interactions.The Plant cell · 2020Article
- Transient genome-wide interactions of the master transcription factor NLP7 initiate a rapid nitrogen-response cascade.Nature communications · 2020Article
- Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions.Nature communications · 2019Article
- PCAF fine-tunes hepatic metabolic syndrome, inflammatory disease, and cancer.Journal of cellular and molecular medicine · 2018Review
- TF2Network: predicting transcription factor regulators and gene regulatory networks in Arabidopsis using publicly available binding site information.Nucleic acids research · 2018Article
- Integrating sequence and gene expression information predicts genome-wide DNA-binding proteins and suggests a cooperative mechanism.Nucleic acids research · 2018Article
- A matter of time - How transient transcription factor interactions create dynamic gene regulatory networks.Biochimica et biophysica acta. Gene regulatory mechanisms · 2017Review
- "Hit-and-Run" transcription: de novo transcription initiated by a transient bZIP1 "hit" persists after the "run".BMC genomics · 2016Article
- Role of transcription factor acetylation in the regulation of metabolic homeostasis.Protein & cell · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Modeling dynamic gene regulatory networks (GRNs) is a new frontier in systems biology. It has special implications for plants, whose survival requires rapid deployment of GRNs in response to environmental changes. However, capturing and dissecting transient interactions of transcription factors (TFs) and their targets in GRNs remains a considerable experimental challenge. Here we review recent progress in understanding GRNs as a function of time and discuss the relevance of these findings in plants to studies in other eukaryotes. We cover progress in profiling and modeling time-course transcriptome changes across plant species and the insights they have provided into the regulatory mechanisms underlying these temporal transcriptional responses, with a focus on the dynamic behavior of TFs. Lastly, we review state-of-the-art techniques to monitor the single-molecule dynamics of TFs in vivo. Together, these advances have helped develop new models for dynamic transcriptional control with relevance across eukaryotes.
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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.