Abstract

Information within the brain travels from neuron to neuron across billions of synapses. At any given moment, only a small subset of neurons and synapses are active, but finding the active synapses in brain tissue has been a technical challenge. Here we introduce SynTagMA to tag active synapses in a user-defined time window. Upon 395–405 nm illumination, this genetically encoded marker of activity converts from green to red fluorescence if, and only if, it is bound to calcium. Targeted to presynaptic terminals, preSynTagMA allows discrimination between active and silent axons. Targeted to excitatory postsynapses, postSynTagMA creates a snapshot of synapses active just before photoconversion. To analyze large datasets, we show how to identify and track the fluorescence of thousands of individual synapses in an automated fashion. Together, these tools provide an efficient method for repeatedly mapping active neurons and synapses in cell culture, slice preparations, and in vivo during behavior.

Calcium imaging has been used to visualize the activity of individual synapses, but cannot be scaled up to monitor thousands of synapses in tissue. Here, the authors present genetic tools that can be photoconverted from green to red to create a map of active synapses.

Details

Title
Freeze-frame imaging of synaptic activity using SynTagMA
Author
Perez-Alvarez, Alberto 1   VIAFID ORCID Logo  ; Fearey, Brenna C 1   VIAFID ORCID Logo  ; O’Toole Ryan J 2   VIAFID ORCID Logo  ; Yang, Wei 3   VIAFID ORCID Logo  ; Arganda-Carreras Ignacio 4 ; Lamothe-Molina, Paul J 1   VIAFID ORCID Logo  ; Moeyaert Benjamien 5   VIAFID ORCID Logo  ; Mohr, Manuel A 5 ; Panzera, Lauren C 2   VIAFID ORCID Logo  ; Schulze, Christian 1 ; Schreiter, Eric R 5   VIAFID ORCID Logo  ; Simon, Wiegert J 3   VIAFID ORCID Logo  ; Gee, Christine E 1   VIAFID ORCID Logo  ; Hoppa, Michael B 2 ; Oertner, Thomas G 1   VIAFID ORCID Logo 

 University Medical Center Hamburg-Eppendorf, Institute for Synaptic Physiology, Hamburg, Germany (GRID:grid.13648.38) (ISNI:0000 0001 2180 3484) 
 Dartmouth College, Department of Biological Sciences, Hanover, USA (GRID:grid.254880.3) (ISNI:0000 0001 2179 2404) 
 University Medical Center Hamburg-Eppendorf, Research Group Synaptic Wiring and Information Processing, Hamburg, Germany (GRID:grid.13648.38) (ISNI:0000 0001 2180 3484) 
 Basque Foundation for Science, Ikerbasque, Bilbao, Spain (GRID:grid.424810.b) (ISNI:0000 0004 0467 2314); Basque Country University, Dept. of Computer Science and Artificial Intelligence, San Sebastian, Spain (GRID:grid.11480.3c) (ISNI:0000000121671098); Donostia International Physics Center (DIPC), San Sebastian, Spain (GRID:grid.452382.a) (ISNI:0000 0004 1768 3100) 
 Janelia Farm Research Campus, HHMI, Ashburn, USA (GRID:grid.443970.d) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2404342602
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.