000214712 001__ 214712
000214712 005__ 20190317000339.0
000214712 022__ $$a0021-9525
000214712 02470 $$2ISI$$a000370486100010
000214712 0247_ $$2doi$$a10.1083/jcb.201506018
000214712 037__ $$aARTICLE
000214712 245__ $$aComputer vision profiling of neurite outgrowth dynamics reveals spatio-temporal modularity of Rho GTPase signaling
000214712 269__ $$a2016
000214712 260__ $$bRockefeller University Press$$c2016$$aNew York
000214712 300__ $$a21
000214712 336__ $$aJournal Articles
000214712 520__ $$aRho guanosine triphosphatases (GTPases) control the cytoskeletal dynamics that power neurite outgrowth. This process consists of dynamic neurite initiation, elongation, retraction, and branching cycles that are likely to be regulated by specific spatiotemporal signaling networks, which cannot be resolved with static, steady-state assays. We present Neu - riteTracker, a computer-vision approach to automatically segment and track neuronal morphodynamics in time-lapse datasets. Feature extraction then quantifies dynamic neurite outgrowth phenotypes. We identify a set of stereotypic neurite outgrowth morphodynamic behaviors in a cultured neuronal cell system. Systematic RNA interference perturba - tion of a Rho GTPase interactome consisting of 219 proteins reveals a limited set of morphodynamic phenotypes. As proof of concept, we show that loss of function of two distinct RhoA-specific GTPase-activating proteins (GAPs) leads to opposite neurite outgrowth phenotypes. Imaging of RhoA activation dynamics indicates that both GAPs regulate differ - ent spatiotemporal Rho GTPase pools, with distinct functions. Our results provide a starting point to dissect spatiotempo - ral Rho GTPase signaling networks that regulate neurite outgrowth.
000214712 700__ $$aPertz, O.
000214712 700__ $$aFusco, L.
000214712 700__ $$aLefort, Riwal
000214712 700__ $$aSmith, Kevin C.
000214712 700__ $$aBenmansour, F.
000214712 700__ $$0242710$$g173253$$aGonzalez, German
000214712 700__ $$aBarilari, Caterina
000214712 700__ $$aRinn, Bernd
000214712 700__ $$0(EPFLAUTH)146262$$g146262$$aFleuret, Francois
000214712 700__ $$0240252$$g112366$$aFua, Pascal
000214712 773__ $$j212$$tJournal of Cell Biology$$k1$$q91-111
000214712 8564_ $$uhttps://infoscience.epfl.ch/record/214712/files/J%20Cell%20Biol-2016-Fusco-91-111.pdf$$zPublisher's version$$s5268452$$yPublisher's version
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000214712 917Z8 $$x253580
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000214712 917Z8 $$x112366
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000214712 937__ $$aEPFL-ARTICLE-214712
000214712 973__ $$rNON-REVIEWED$$sPUBLISHED$$aEPFL
000214712 970__ $$aPertz_JCELLBIOL_2016/LIDIAP
000214712 980__ $$aARTICLE