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10.1093/nar/gkx465 http://scihub22266oqcxt.onion/10.1093/nar/gkx465 C5499576!5499576 !28525642     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28525642 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28525642 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nucleic+Acids+Res 2017 ; 45 (12 ): 7515-7526 Nephropedia Template TP {{tp|p=28525642 |t=2017. Dynamics of sequestration-based gene regulatory cascades |pdf=|usr=}}{{28525642 }} gab.com Text Dynamics of sequestration-based gene regulatory cascades JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=28525642 #FOAvip Gene regulatory cascades are ubiquitous in biology. Because regulatory cascades are integrated within complex networks, their quantitative analysis is challenging in native systems. Synthetic biologists have gained quantitative insights into the properties of regulatory cascades by building simple circuits, but sequestration-based regulatory cascades remain relatively unexplored. Particularly, it remains unclear how the cascade components collectively control the output dynamics. Here, we report the construction and quantitative analysis of the longest sequestration-based cascade in Escherichia coli. This cascade consists of four Pseudomonas aeruginosa protein regulators (ExsADCE) that sequester their partner. Our computational analysis showed that the output dynamics are controlled in a complex way by the concentration of the unbounded transcriptional activator ExsA. By systematically varying the cascade length and the synthesis rate of each regulator, we experimentally verified the computational prediction that ExsC plays a role in rapid circuit responses by sequestering the anti-activator ExsD, while ExsD increases response times by decreasing the free ExsA concentration. In contrast, when additional ExsD was introduced to the cascade via indirect negative feedback, the response time was significantly reduced. Sequestration-based regulatory cascades with negative feedback are often found in biology, and thus our finding provides insights into the dynamics of this recurring motif. Twit Text FOAVip Dynamics of sequestration-based gene regulatory cascades ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=28525642 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28525642 #FOAvip English Wikipedia <ref>{{Cite pmid|28525642 }}</ref> Dynamics of sequestration-based gene regulatory cascades #MMPMID28525642 Shopera T ; Henson WR ; Moon TS Nucleic Acids Res 2017[Jul]; 45 (12 ): 7515-7526 PMID28525642 show ga Gene regulatory cascades are ubiquitous in biology. Because regulatory cascades are integrated within complex networks, their quantitative analysis is challenging in native systems. Synthetic biologists have gained quantitative insights into the properties of regulatory cascades by building simple circuits, but sequestration-based regulatory cascades remain relatively unexplored. Particularly, it remains unclear how the cascade components collectively control the output dynamics. Here, we report the construction and quantitative analysis of the longest sequestration-based cascade in Escherichia coli. This cascade consists of four Pseudomonas aeruginosa protein regulators (ExsADCE) that sequester their partner. Our computational analysis showed that the output dynamics are controlled in a complex way by the concentration of the unbounded transcriptional activator ExsA. By systematically varying the cascade length and the synthesis rate of each regulator, we experimentally verified the computational prediction that ExsC plays a role in rapid circuit responses by sequestering the anti-activator ExsD, while ExsD increases response times by decreasing the free ExsA concentration. In contrast, when additional ExsD was introduced to the cascade via indirect negative feedback, the response time was significantly reduced. Sequestration-based regulatory cascades with negative feedback are often found in biology, and thus our finding provides insights into the dynamics of this recurring motif. |*Gene Expression Regulation, Bacterial [MESH] |*Gene Regulatory Networks [MESH] |Bacterial Proteins/*genetics/metabolism [MESH] |Computational Biology [MESH] |Escherichia coli/*genetics/metabolism [MESH] |Feedback, Physiological [MESH] |Genes, Regulator [MESH] |Kinetics [MESH] |Lipoproteins/*genetics/metabolism [MESH] |Plasmids/chemistry/metabolism [MESH] |Protein Binding [MESH] |Pseudomonas aeruginosa/genetics/metabolism [MESH] |Repressor Proteins/*genetics/metabolism [MESH] |Trans-Activators/*genetics/metabolism [MESH]Dynamics of sequestration-based gene regulatory cascades (epmc).pdf DeepDyve Pubget Overpricing