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Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity

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...

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Autores principales: Mahlandt, Eike K., Kreider-Letterman, Gabriel, Chertkova, Anna O., Garcia-Mata, Rafael, Goedhart, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234108/
https://www.ncbi.nlm.nih.gov/pubmed/37226883
http://dx.doi.org/10.1242/jcs.260802
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author Mahlandt, Eike K.
Kreider-Letterman, Gabriel
Chertkova, Anna O.
Garcia-Mata, Rafael
Goedhart, Joachim
author_facet Mahlandt, Eike K.
Kreider-Letterman, Gabriel
Chertkova, Anna O.
Garcia-Mata, Rafael
Goedhart, Joachim
author_sort Mahlandt, Eike K.
collection PubMed
description 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.
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spelling pubmed-102341082023-06-02 Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity Mahlandt, Eike K. Kreider-Letterman, Gabriel Chertkova, Anna O. Garcia-Mata, Rafael Goedhart, Joachim J Cell Sci Tools and Resources 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. The Company of Biologists Ltd 2023-05-25 /pmc/articles/PMC10234108/ /pubmed/37226883 http://dx.doi.org/10.1242/jcs.260802 Text en © 2023. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Tools and Resources
Mahlandt, Eike K.
Kreider-Letterman, Gabriel
Chertkova, Anna O.
Garcia-Mata, Rafael
Goedhart, Joachim
Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity
title Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity
title_full Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity
title_fullStr Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity
title_full_unstemmed Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity
title_short Cell-based optimization and characterization of genetically encoded location-based biosensors for Cdc42 or Rac activity
title_sort cell-based optimization and characterization of genetically encoded location-based biosensors for cdc42 or rac activity
topic Tools and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234108/
https://www.ncbi.nlm.nih.gov/pubmed/37226883
http://dx.doi.org/10.1242/jcs.260802
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