Literature DB >> 17689927

Transgenic fruit-flies expressing a FRET-based sensor for in vivo imaging of cAMP dynamics.

Valentina Lissandron1, Maria Giovanna Rossetto, Karen Erbguth, André Fiala, Andrea Daga, Manuela Zaccolo.   

Abstract

3'-5'-cyclic adenosine monophosphate (cAMP) is a ubiquitous intracellular second messenger that mediates the action of various hormones and neurotransmitters and influences a plethora of cellular functions. In particular, multiple neuronal processes such as synaptic plasticity underlying learning and memory are dependent on cAMP signalling cascades. It is now well recognized that the specificity and fidelity of cAMP downstream effects are achieved through a tight temporal as well as spatial control of the cAMP signals. Approaches relying on real-time imaging and Fluorescence Resonance Energy Transfer (FRET)-based biosensors for direct visualization of cAMP changes as they happen in intact living cells have recently started to uncover the fine details of cAMP spatio-temporal signalling patterns. Here we report the generation of transgenic fruit-flies expressing a FRET-based, GFP-PKA sensor and their use in real-time optical recordings of cAMP signalling both ex vivo and in vivo in adult and developing organisms. These transgenic animals represent a novel tool for understanding the physiology of the cAMP signalling pathway in the context of a functioning body.

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Year:  2007        PMID: 17689927     DOI: 10.1016/j.cellsig.2007.07.004

Source DB:  PubMed          Journal:  Cell Signal        ISSN: 0898-6568            Impact factor:   4.315


  12 in total

Review 1.  Reporting from the field: genetically encoded fluorescent reporters uncover signaling dynamics in living biological systems.

Authors:  Sohum Mehta; Jin Zhang
Journal:  Annu Rev Biochem       Date:  2011       Impact factor: 23.643

2.  FRET measurements of intracellular cAMP concentrations and cAMP analog permeability in intact cells.

Authors:  Sebastian Börner; Frank Schwede; Angela Schlipp; Filip Berisha; Davide Calebiro; Martin J Lohse; Viacheslav O Nikolaev
Journal:  Nat Protoc       Date:  2011-03-10       Impact factor: 13.491

Review 3.  Genetically encodable fluorescent biosensors for tracking signaling dynamics in living cells.

Authors:  Robert H Newman; Matthew D Fosbrink; Jin Zhang
Journal:  Chem Rev       Date:  2011-04-01       Impact factor: 60.622

Review 4.  Genetically encoded molecular probes to visualize and perturb signaling dynamics in living biological systems.

Authors:  Vedangi Sample; Sohum Mehta; Jin Zhang
Journal:  J Cell Sci       Date:  2014-03-15       Impact factor: 5.285

Review 5.  Genetically encoded fluorescent biosensors for live-cell visualization of protein phosphorylation.

Authors:  Laurel Oldach; Jin Zhang
Journal:  Chem Biol       Date:  2014-01-30

Review 6.  Design and application of genetically encoded biosensors.

Authors:  Amy E Palmer; Yan Qin; Jungwon Genevieve Park; Janet E McCombs
Journal:  Trends Biotechnol       Date:  2011-01-19       Impact factor: 19.536

7.  Visualization of protein interactions in living Drosophila embryos by the bimolecular fluorescence complementation assay.

Authors:  Bruno Hudry; Séverine Viala; Yacine Graba; Samir Merabet
Journal:  BMC Biol       Date:  2011-01-28       Impact factor: 7.431

Review 8.  Genetically encoded sensors towards imaging cAMP and PKA activity in vivo.

Authors:  Crystian I Massengill; Julian Day-Cooney; Tianyi Mao; Haining Zhong
Journal:  J Neurosci Methods       Date:  2021-07-31       Impact factor: 2.987

9.  Persistent cAMP-signals triggered by internalized G-protein-coupled receptors.

Authors:  Davide Calebiro; Viacheslav O Nikolaev; Maria Cristina Gagliani; Tiziana de Filippis; Christian Dees; Carlo Tacchetti; Luca Persani; Martin J Lohse
Journal:  PLoS Biol       Date:  2009-08-18       Impact factor: 8.029

10.  Imaging cytoplasmic cAMP in mouse brainstem neurons.

Authors:  S L Mironov; E Skorova; G Taschenberger; N Hartelt; V O Nikolaev; M J Lohse; S Kügler
Journal:  BMC Neurosci       Date:  2009-03-27       Impact factor: 3.288

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