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Imaging phluorin-based probes at hippocampal synapses
School of Biomedical Sciences, University of Liverpool, Liverpool, UK.
MRC Laboratory of Molecular Biology, Cambridge, UK.
MRC Laboratory of Molecular Biology, Cambridge, UK.
MRC Laboratory of Molecular Biology, Cambridge, UK.
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2008 (English)In: Membrane Trafficking / [ed] Ales Vancura, Humana Press, 2008, Vol. 457, 293-303 p.Chapter in book (Other academic)
Abstract [en]

Accurate measurement of synaptic vesicle exocytosis and endocytosis is crucial to understanding the molecular basis of synaptic transmission. The fusion of a pH-sensitive green fluorescent protein (pHluorin) to various synaptic vesicle proteins has allowed the study of synaptic vesicle recycling in real time. Two such probes, synaptopHluorin and sypHy, have been imaged at synapses of hippocampal neurons in culture. The combination of these reporters with techniques for molecular interference, such as RNAi allows for the study of molecules involved in synaptic vesicle recycling. Here the authors describe methods for the culture and transfection of hippocampal neurons, imaging of pHluorin-based probes at synapses and analysis of pHluorin signals down to the resolution of individual synaptic vesicles.

Place, publisher, year, edition, pages
Humana Press, 2008. Vol. 457, 293-303 p.
, Methods in Molecular Biology (Methods and Protocols), ISSN 1064-3745 ; 457
Keyword [en]
Endocytosis; exocytosis; hippocampal synapses; imaging; neurons; synaptic vesicle; synaptopHluorin; sypHy
National Category
Bioinformatics (Computational Biology)
URN: urn:nbn:se:liu:diva-53183DOI: 10.1007/978-1-59745-261-8_22PubMedID: 19066036ISBN: 978-1-59745-261-8OAI: diva2:287563

The original publication is available at Stephen J Royle, Björn Granseth, Benjamin Odermatt, Aude Derevier and Leon Lagnado, Imaging phluorin-based probes at hippocampal synapses, 2008, Methods in Molecular Biology; Membrane Trafficking, (457), 293-303. Copyright: Humana Press

Available from: 2010-01-19 Created: 2010-01-19 Last updated: 2015-11-19Bibliographically approved

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Granseth, Björn
Bioinformatics (Computational Biology)

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