Single-Component Optogenetic Tools for Inducible RhoA GTPase Signaling.
Single-Component Optogenetic Tools for Inducible RhoA GTPase Signaling.
复制标题
用于诱导型 RhoA GTPase 信号转导的单组分光遗传学工具。
DOI:
10.1002/adbi.202100810
复制
发表时间:
2021-09
期刊:
影响因子:
3.7
通讯作者:
Chow BY
中科院分区:
文献类型:
--
作者:
Berlew EE;Kuznetsov IA;Yamada K;Bugaj LJ;Boerckel JD;Chow BY
We created optogenetic tools to control RhoA GTPase, a central regulator of actin organization and actomyosin contractility. RhoA GTPase, or its upstream activator ARHGEF11, 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 proteins induced potent contractile signaling sufficient to separate adherens junctions with as little as one pulse of blue light. Induced cytoskeletal morphology changes were dependent on the alignment of the spatially patterned stimulation with the underlying cell polarization. RhoA-mediated cytoskeletal activation drove YAP nuclear localization within minutes and consequent mechanotransduction verified by YAP-TEAD transcriptional activity. These single-transgene tools do not require protein binding partners for dynamic membrane localization, and permit spatiotemporally precise control over RhoA signaling to advance the study of its diverse regulatory roles in cell migration, morphogenesis, and cell cycle maintenance. This article describes the creation of optogenetic tools for inducing RhoA-mediated signaling by dynamic membrane recruitment of either RhoA GTPase or its GEF activator upon blue light stimulation. The tools are simple to use because they only require the expression and visualization of one protein and can potently drive cytoskeletal contractility and consequent cytomechanical activation of YAP/TEAD-dependent transcriptional mechanotransduction.
登录
查看更多内容
影响因子:
16.6
作者:
Izquierdo E;Quinkler T;De Renzis S
通讯作者:
De Renzis S
影响因子:
9.8
作者:
Bendezú FO;Vincenzetti V;Vavylonis D;Wyss R;Vogel H;Martin SG
通讯作者:
Martin SG
影响因子:
9.8
作者:
Lamas, Iker;Merlini, Laura;Martin, Sophie G.
通讯作者:
Martin, Sophie G.
影响因子:
8.4
作者:
He L;Jing J;Zhu L;Tan P;Ma G;Zhang Q;Nguyen NT;Wang J;Zhou Y;Huang Y
通讯作者:
Huang Y
DOI:
10.1073/pnas.1802832115
发表时间:
2018-08-14
影响因子:
11.1
作者:
Glantz ST;Berlew EE;Jaber Z;Schuster BS;Gardner KH;Chow BY
通讯作者:
Chow BY