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      Coupled pre-mRNA and mRNA dynamics unveil operational strategies underlying transcriptional responses to stimuli

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          Abstract

          • By analyzing the signals from intronic probes of exon arrays, we performed, for the first time, genome-wide measurement of pre-mRNA expression dynamics.

          • We discovered a striking lack of correspondence between mRNA and pre-mRNA temporal expression profiles following stimulus, demonstrating that measurement of mRNA dynamics does not suffice to infer transcript production profiles.

          • By combining simultaneous measurement of pre-mRNA and mRNA profiles with a simple new quantitative theoretical description of transcription, we are able to infer complex time dependence of both transcript production and mRNA degradation.

          • The production profiles of many transcripts reveal an operational strategy we termed Production Overshoot, which is used to accelerate mRNA response. The biological relevance of our findings was substantiated by observing similar results when studying the response of three different mammalian cell types to different stimuli.

          Abstract

          Transcriptional responses to extracellular stimuli involve tuning the rates of transcript production and degradation. Here, we show that the time-dependent profiles of these rates can be inferred from simultaneous measurements of precursor mRNA (pre-mRNA) and mature mRNA profiles. Transcriptome-wide measurements demonstrate that genes with similar mRNA profiles often exhibit marked differences in the amplitude and onset of their production rate. The latter is characterized by a large dynamic range, with a group of genes exhibiting an unexpectedly strong transient production overshoot, thereby accelerating their induction and, when combined with time-dependent degradation, shaping transient responses with precise timing and amplitude.

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          Most cited references37

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          Structure and function of the feed-forward loop network motif.

          Engineered systems are often built of recurring circuit modules that carry out key functions. Transcription networks that regulate the responses of living cells were recently found to obey similar principles: they contain several biochemical wiring patterns, termed network motifs, which recur throughout the network. One of these motifs is the feed-forward loop (FFL). The FFL, a three-gene pattern, is composed of two input transcription factors, one of which regulates the other, both jointly regulating a target gene. The FFL has eight possible structural types, because each of the three interactions in the FFL can be activating or repressing. Here, we theoretically analyze the functions of these eight structural types. We find that four of the FFL types, termed incoherent FFLs, act as sign-sensitive accelerators: they speed up the response time of the target gene expression following stimulus steps in one direction (e.g., off to on) but not in the other direction (on to off). The other four types, coherent FFLs, act as sign-sensitive delays. We find that some FFL types appear in transcription network databases much more frequently than others. In some cases, the rare FFL types have reduced functionality (responding to only one of their two input stimuli), which may partially explain why they are selected against. Additional features, such as pulse generation and cooperativity, are discussed. This study defines the function of one of the most significant recurring circuit elements in transcription networks.
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            Genome-wide mapping of HATs and HDACs reveals distinct functions in active and inactive genes.

            Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and find that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs.
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              Dynamics of the p53-Mdm2 feedback loop in individual cells.

              The tumor suppressor p53, one of the most intensely investigated proteins, is usually studied by experiments that are averaged over cell populations, potentially masking the dynamic behavior in individual cells. We present a system for following, in individual living cells, the dynamics of p53 and its negative regulator Mdm2 (refs. 1,4-7): this system uses functional p53-CFP and Mdm2-YFP fusion proteins and time-lapse fluorescence microscopy. We found that p53 was expressed in a series of discrete pulses after DNA damage. Genetically identical cells had different numbers of pulses: zero, one, two or more. The mean height and duration of each pulse were fixed and did not depend on the amount of DNA damage. The mean number of pulses, however, increased with DNA damage. This approach can be used to study other signaling systems and suggests that the p53-Mdm2 feedback loop generates a 'digital' clock that releases well-timed quanta of p53 until damage is repaired or the cell dies.
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                Author and article information

                Journal
                Mol Syst Biol
                Molecular Systems Biology
                Nature Publishing Group
                1744-4292
                2011
                13 September 2011
                13 September 2011
                : 7
                : 529
                Affiliations
                [1 ]simpleDepartment of Physics of Complex Systems, Weizmann Institute of Science , Rehovot, Israel
                [2 ]simpleDepartment of Biological Regulation, Weizmann Institute of Science , Rehovot, Israel
                [3 ]simpleDepartment of Biological Chemistry, Weizmann Institute of Science , Rehovot, Israel
                [4 ]simpleDepartment of Immunology, Weizmann Institute of Science , Rehovot, Israel
                [5 ]simpleSheba Cancer Research Center, The Chaim Sheba Medical Center and Sackler School of Medicine, Tel Aviv University , Tel Aviv, Israel
                Author notes
                [a ]Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel. Tel.:+972 8934 4502; Fax:+972 8934 2488 yosef.yarden@ 123456weizmann.ac.il
                [b ]Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel. Tel.:+972 8934 3964; Fax: +972 8934 4109; eytan.domany@ 123456weizmann.ac.il
                [*]

                These authors contributed equally to this work

                [†]

                Present address: Department of Medicine 1 & Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria

                Article
                msb201162
                10.1038/msb.2011.62
                3202801
                21915116
                3075b523-5033-4161-a955-ac2a36f0dd2a
                Copyright © 2011, EMBO and Macmillan Publishers Limited

                This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.

                History
                : 28 March 2011
                : 17 July 2011
                Categories
                Article

                Quantitative & Systems biology
                transcriptional response,operational strategy,half-life,pre-mrna

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