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Imaging of Genetically Encoded FRET-Based Biosensors to Detect GPCR Activity

  • Luca Bordes
  • , Sergei Chavez-Abiega
  • , Joachim Goedhart*
  • *Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

A wealth of assays for screening GPCR activity have been developed. Biosensors that employ Förster Resonance Energy transfer (FRET) are specific and enable dynamic measurements. Moreover, FRET biosensors are ideally suited for the analysis of single living cells. The FRET biosensors described in this manuscript are entirely genetically encoded by plasmids. Here, protocols for employing FRET-based biosensors to detect G protein activity upon GPCR activation are reported. The protocols include details on the isolation of plasmids, transfection, generation of stable cell lines with the FRET biosensors, FRET ratio imaging, and data analysis.

Original languageEnglish
Title of host publicationG Protein-Coupled Receptor Screening Assays
Subtitle of host publicationMethods and Protocols
EditorsSofia Aires M. Martins, Duarte Miguel F. Prazeres
PublisherHumana Press Inc
Pages159-178
Number of pages20
Edition2nd
ISBN (Electronic)9781071612217
ISBN (Print)9781071612200
DOIs
Publication statusPublished - 2021

Publication series

NameMethods in Molecular Biology
Volume2268
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Bibliographical note

Funding Information:
S.C.-A. was funded by Marie Sklodowska-Curie Actions of the European Union?s Horizon 2020 program as part of the CaSR Biomedicine Network.

Publisher Copyright:
© 2021, Springer Science+Business Media, LLC, part of Springer Nature.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Funding

S.C.-A. was funded by Marie Sklodowska-Curie Actions of the European Union?s Horizon 2020 program as part of the CaSR Biomedicine Network.

Funders
Horizon 2020 Framework Programme
HORIZON EUROPE Marie Sklodowska-Curie Actions

    Keywords

    • Biosensor
    • FRET
    • GPCR
    • Image analysis
    • Ratio-imaging

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