title: Automated image analysis of FRET signals for subcellular cAMP quantification.
abstract: A variety of FRET probes have been developed to examine cAMP localization and dynamics in single cells. These probes offer a readily accessible approach to measure localized cAMP signals. However, given the low signal-to-noise ratio of most FRET probes and the dynamic nature of the intracellular environment, there have been marked limitations in the ability to use FRET probes to study localized signaling events within the same cell. Here, we outline a methodology to dissect kinetics of cAMP-mediated FRET signals in single cells using automated image analysis approaches. We additionally extend these approaches to the analysis of subcellular regions. These approaches offer an unique opportunity to assess localized cAMP kinetics in an unbiased, quantitative fashion.
authors.affiliation: Department of Chemical and Biomolecular Engineering, University of South Alabama, 150 Jaguar Drive, SH 4129, Mobile, AL, 36688, USA, leavesley@southalabama.edu.
authors.forename: Silas J
authors.initials: SJ
authors.lastname: Leavesley
authors.forename: Arie
authors.initials: A
authors.lastname: Nakhmani
authors.forename: Yi
authors.initials: Y
authors.lastname: Gao
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Rich
mesh_terms: D015374:Biosensing Techniques / Q000379:methods; D000242:Cyclic AMP / Q000378:metabolism*; D031541:Fluorescence Resonance Energy Transfer / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007700:Kinetics; D059629:Signal-To-Noise Ratio; D012984:Software
chemical_list: D000242:Cyclic AMP