Author
Listed:
- Alberto Perez-Alvarez
(University Medical Center Hamburg-Eppendorf)
- Brenna C. Fearey
(University Medical Center Hamburg-Eppendorf)
- Ryan J. O’Toole
(Dartmouth College)
- Wei Yang
(University Medical Center Hamburg-Eppendorf)
- Ignacio Arganda-Carreras
(Basque Foundation for Science
Basque Country University
Donostia International Physics Center (DIPC))
- Paul J. Lamothe-Molina
(University Medical Center Hamburg-Eppendorf)
- Benjamien Moeyaert
(Janelia Farm Research Campus)
- Manuel A. Mohr
(Janelia Farm Research Campus)
- Lauren C. Panzera
(Dartmouth College)
- Christian Schulze
(University Medical Center Hamburg-Eppendorf)
- Eric R. Schreiter
(Janelia Farm Research Campus)
- J. Simon Wiegert
(University Medical Center Hamburg-Eppendorf)
- Christine E. Gee
(University Medical Center Hamburg-Eppendorf)
- Michael B. Hoppa
(Dartmouth College)
- Thomas G. Oertner
(University Medical Center Hamburg-Eppendorf)
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.
Suggested Citation
Alberto Perez-Alvarez & Brenna C. Fearey & Ryan J. O’Toole & Wei Yang & Ignacio Arganda-Carreras & Paul J. Lamothe-Molina & Benjamien Moeyaert & Manuel A. Mohr & Lauren C. Panzera & Christian Schulze , 2020.
"Freeze-frame imaging of synaptic activity using SynTagMA,"
Nature Communications, Nature, vol. 11(1), pages 1-16, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16315-4
DOI: 10.1038/s41467-020-16315-4
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16315-4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.