Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity.
Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity.
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DOI:
10.1242/jcs.260802
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发表时间:
2023-05-15
影响因子:
4
通讯作者:
Goedhart, Joachim
中科院分区:
文献类型:
--
作者:
Mahlandt, Eike K.;Kreider-Letterman, Gabriel;Chertkova, Anna O.;Garcia-Mata, Rafael;Goedhart, Joachim
Rac (herein referring to the Rac family) and Cdc42 are Rho GTPases that regulate the formation of lamellipoda and filopodia, and are therefore crucial in processes such as cell migration. Relocation-based biosensors for Rac and Cdc42 have not been characterized well in terms of their specificity or affinity. In this study, we identify relocation sensor candidates for both Rac and Cdc42. We compared their (1) ability to bind the constitutively active Rho GTPases, (2) specificity for Rac and Cdc42, and (3) relocation efficiency in cell-based assays. Subsequently, the relocation efficiency was improved by a multi-domain approach. For Rac1, we found a sensor candidate with low relocation efficiency. For Cdc42, we found several sensors with sufficient relocation efficiency and specificity. These optimized sensors enable the wider application of Rho GTPase relocation sensors, which was showcased by the detection of local endogenous Cdc42 activity at assembling invadopodia. Moreover, we tested several fluorescent proteins and HaloTag for their influence on the recruitment efficiency of the Rho location sensor, to find optimal conditions for a multiplexing experiment. This characterization and optimization of relocation sensors will broaden their application and acceptance. A systematic, cell-based comparison of G-protein-binding domains for their potential as localization-based, genetically encoded biosensors for imaging of Cdc42 or Rac activity in single cells.
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DOI:
10.1083/jcb.200806047
发表时间:
2009-01-26
期刊:
The Journal of cell biology
影响因子:
--
作者:
Dewitt S;Darley RL;Hallett MB
通讯作者:
Hallett MB
影响因子:
7.7
作者:
Gillingham,Alison K.;Bertram,Jessie;Munro,Sean
通讯作者:
Munro,Sean
影响因子:
16.6
作者:
通讯作者:
--
影响因子:
5.3
作者:
Itoh, RE;Kurokawa, K;Matsuda, M
通讯作者:
Matsuda, M
影响因子:
7.7
作者:
Laan, Liedewij;Koschwanez, John H.;Murray, Andrew W.
通讯作者:
Murray, Andrew W.