From milliseconds to lifetimes: Tracking the dynamic behavior of transcription factors in gene networks
Identifieur interne : 000643 ( Main/Exploration ); précédent : 000642; suivant : 000644From milliseconds to lifetimes: Tracking the dynamic behavior of transcription factors in gene networks
Auteurs : Ying Li [États-Unis] ; Kranthi Varala [États-Unis] ; Gloria M. Coruzzi [États-Unis]Source :
- Trends in genetics : TIG [ 0168-9525 ] ; 2015.
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 on 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 single-molecule dynamics of TFs
Url:
DOI: 10.1016/j.tig.2015.05.005
PubMed: 26072453
PubMed Central: 4558309
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="P1">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 on 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 single-molecule dynamics of TFs <italic>in vivo</italic>
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