Visualizing dynamic activities of signaling enzymes using genetically encodable FRET-based biosensors

From designs to applications

Xin Zhou, Katie J. Herbst-Robinson, Jin Zhang

Research output: Contribution to journalArticle

Abstract

Living cells respond to various environmental cues and process them into a series of spatially and temporally regulated signaling events, which can be tracked in real time with an expanding repertoire of genetically encodable FRET-based biosensors. A series of these biosensors, designed to track dynamic activities of signaling enzymes such as protein kinases and small GTPases, have yielded invaluable information regarding the spatiotemporal regulation of these enzymes, shedding light on the orchestration of signaling pathways within the native cellular context. In this chapter, we first review the generalizable modular designs of FRET-based biosensors, followed by a detailed discussion about biosensors for reporting protein kinase activities and GTPase activation. Two general designs, uni- and bimolecular reporters, will be discussed with an analysis of their strengths and limitations. Finally, an example of using both uni- and bimolecular kinase activity reporters to visualize PKA activity in living cells will be presented to provide practical tips for using these biosensors to explore specific biological systems.

Original languageEnglish (US)
Pages (from-to)317-340
Number of pages24
JournalMethods in Enzymology
Volume504
DOIs
StatePublished - 2012

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Biosensing Techniques
Biosensors
Enzymes
Protein Kinases
Cells
Living Wills
Monomeric GTP-Binding Proteins
GTP Phosphohydrolases
Biological systems
Cues
Phosphotransferases
Chemical activation

Keywords

  • fluorescence imaging
  • GTPases
  • Keywords
  • kinases

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

Cite this

Visualizing dynamic activities of signaling enzymes using genetically encodable FRET-based biosensors : From designs to applications. / Zhou, Xin; Herbst-Robinson, Katie J.; Zhang, Jin.

In: Methods in Enzymology, Vol. 504, 2012, p. 317-340.

Research output: Contribution to journalArticle

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