Designing Single-Component Optogenetic Membrane Recruitment Systems: The Rho-Family GTPase Signaling Toolbox

Author(s):  
Erin E. Berlew ◽  
Keisuke Yamada ◽  
Ivan A. Kuznetsov ◽  
Eleanor A. Rand ◽  
Chandler C. Ochs ◽  
...  
2021 ◽  
Author(s):  
Erin E. Berlew ◽  
Ivan A. Kuznetsov ◽  
Keisuke Yamada ◽  
Lukasz J. Bugaj ◽  
Joel D. Boerckel ◽  
...  

ABSTRACTWe created optogenetic tools to control RhoA GTPase, a central regulator of actin organization and actomyosin contractility. RhoA GTPase, or its upstream activating GEF effectors, were fused to BcLOV4, a photoreceptor that can be dynamically recruited to the plasma membrane by a light-regulated protein-lipid electrostatic interaction with the inner leaflet. Direct membrane recruitment of these effectors induced potent contractile signaling sufficient to separate adherens junctions in response to as little as one pulse of blue light. Cytoskeletal morphology changes were dependent on the alignment of the spatially patterned stimulation with the underlying cell polarization. RhoA-mediated cytoskeletal activation induced YAP nuclear localization within minutes and subsequent mechanotransduction, verified by YAP-TEAD transcriptional activity. These single-component tools, which do not require protein binding partners, offer spatiotemporally precise control over RhoA signaling that will advance the study of its diverse regulatory roles in cell migration, morphogenesis, and cell cycle maintenance.


2020 ◽  
Vol 19 (3) ◽  
pp. 353-361 ◽  
Author(s):  
Erin E. Berlew ◽  
Ivan A. Kuznetsov ◽  
Keisuke Yamada ◽  
Lukasz J. Bugaj ◽  
Brian Y. Chow

We report the construction of a single-component optogenetic Rac1 (opto-Rac1) to control actin polymerization by dynamic membrane recruitment.


2004 ◽  
Vol 31 (S 1) ◽  
Author(s):  
S Seta ◽  
M Herr ◽  
S Horn ◽  
D Koch ◽  
T Vogt ◽  
...  

2017 ◽  
Author(s):  
John G. Collier ◽  
V.V. Wadekar
Keyword(s):  

Author(s):  
Irina Bystrova ◽  
E. Danil'chuk ◽  
Boris Podkopaev

The problem of constructing a diagnostic model for a network S consisting of a number of digital automata is considered, provided that the diagnostic models of all network components are known. It is assumed that these models are given by systems of logical equations, and the errors to be detected are localized in any but a single component of the network.


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