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10.1080/21541248.2016.1178367 http://scihub22266oqcxt.onion/10.1080/21541248.2016.1178367 C5003541!5003541!27128855     free     free     free 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 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       Small+GTPases 2016 ; 7 (3): 168-72 Nephropedia Template TP {{tp|p=27128855|t=2016. Reverse engineering GTPase programming languages with reconstituted signaling networks |pdf=|usr=}}{{27128855}} gab.com Text Reverse engineering GTPase programming languages with reconstituted signaling networks JO: Small GTPases http://www.kidney.de/pget.php?&tw=1&pmid=27128855 #FOAvip The Ras superfamily GTPases represent one of the most prolific signaling currencies used in Eukaryotes. With these remarkable molecules, evolution has built GTPase networks that control diverse cellular processes such as growth, morphology, motility and trafficking.1-4 Our knowledge of the individual players that underlie the function of these networks is deep; decades of biochemical and structural data has provided a mechanistic understanding of the molecules that turn GTPases ON and OFF, as well as how those GTPase states signal by controlling the assembly of downstream effectors. However, we know less about how these different activities work together as a system to specify complex dynamic signaling outcomes. Decoding this molecular ?programming language? would help us understand how different species and cell types have used the same GTPase machinery in different ways to accomplish different tasks, and would also provide new insights as to how mutations to these networks can cause disease. We recently developed a bead-based microscopy assay to watch reconstituted H-Ras signaling systems at work under arbitrary configurations of regulators and effectors.5 Here we highlight key observations and insights from this study and propose extensions to our method to further study this and other GTPase signaling systems. Twit Text FOAVip Reverse engineering GTPase programming languages with reconstituted signaling networks ????Small GTPases http://www.kidney.de/pget.php?&tw=1&pmid=27128855 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27128855 #FOAvip English Wikipedia <ref>{{Cite pmid|27128855}}</ref> Reverse engineering GTPase programming languages with reconstituted signaling networks #MMPMID27128855 Coyle SM Small GTPases 2016[Jul]; 7 (3): 168-72 PMID27128855show ga The Ras superfamily GTPases represent one of the most prolific signaling currencies used in Eukaryotes. With these remarkable molecules, evolution has built GTPase networks that control diverse cellular processes such as growth, morphology, motility and trafficking.1-4 Our knowledge of the individual players that underlie the function of these networks is deep; decades of biochemical and structural data has provided a mechanistic understanding of the molecules that turn GTPases ON and OFF, as well as how those GTPase states signal by controlling the assembly of downstream effectors. However, we know less about how these different activities work together as a system to specify complex dynamic signaling outcomes. Decoding this molecular ?programming language? would help us understand how different species and cell types have used the same GTPase machinery in different ways to accomplish different tasks, and would also provide new insights as to how mutations to these networks can cause disease. We recently developed a bead-based microscopy assay to watch reconstituted H-Ras signaling systems at work under arbitrary configurations of regulators and effectors.5 Here we highlight key observations and insights from this study and propose extensions to our method to further study this and other GTPase signaling systems. äReverse engineering GTPase programming languages with reconstituted si(epmc).pdf DeepDyve Pubget Overpricing