Monitoring Neural Activity in Freely Behaving Zebrafish Larvae with Bioluminescen

Harvard University, Cambridge MA

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Abstract

DESCRIPTION (provided by applicant): Existing techniques for monitoring neural activity in awake, behaving vertebrates are invasive and often require restraining the animal. Here we propose the use of bioluminescence to non- invasively monitor the activity of genetically specified neurons in freely behaving zebrafish. The photoprotein GFP-apoAequorin (Ga) will be expressed in neurons of larval zebrafish and constituted in vivo with its substrate coelenterazine (CLZN) to form the Ca2+-sensitive bioluminescent sensor GFP-Aequorin (GA). Flashes of luminescence will then report spontaneous and evoked Ca2+ signals in the targeted neurons. These 'neuroluminescence' responses can be recorded with a large-area photon-counting detector while simultaneously monitoring behavior with an infrared-sensitive camera. Pilot studies have shown that transgenic, pan-neuronal GA fish produced large and fast neuroluminescent signals that could be recorded continuously for many days. The relationship of these light signals with the neurons underlying electrical activity will be explored by targeting patch-clamp recordings to individual neurons expressing the protein under pan-neuronal promoters. To explore the limits and the sensitivity of this technique, GA will specifically be targeted to the hypocretin-positive neurons of the hypothalamus, the serotonergic neurons of the raphe nuclei and the dopaminergic neurons of the ventral hypothalamus. To overcome a major limitation of existing bioluminescence monitoring strategies, which require a completely dark environment, we propose an extension of this method for fast temporal gating that is able to count single photons during normal lighting conditions. Thus, this assay will allow us to monitor, with high temporal resolution and stability, the activity of small subsets of neurons during unrestrained, visual behavior over a time period of many days. We believe that the fast, stable properties of GA's report of neural activity along with non- imaging detection strategies can provide a useful, easily implemented tool for monitoring the activity of genetically specified cell types during natural behavior; an attractive alternative to other more technically challenging imaging approaches currently being pursued.