Abstract

The anatomy of many neural circuits is being characterized with increasing resolution, but their molecular properties remain mostly unknown. Here, we characterize gene expression patterns in distinct neural cell types of the Drosophila visual system using genetic lines to access individual cell types, the TAPIN-seq method to measure their transcriptomes, and a probabilistic method to interpret these measurements. We used these tools to build a resource of high-resolution transcriptomes for 100 driver lines covering 67 cell types, available at http://www.opticlobe.com. Combining these transcriptomes with recently reported connectomes helps characterize how information is transmitted and processed across a range of scales, from individual synapses to circuit pathways. We describe examples that include identifying neurotransmitters, including cases of co-release, generating functional hypotheses based on receptor expression, as well as identifying strong commonalities between different cell types.

Footnotes

* http://www.opticlobe.com

Details

Title
A genetic, genomic, and computational resource for exploring neural circuit function
Author
Davis, Fred P; Nern, Aljoscha; Picard, Serge; Reiser, Michael B; Rubin, Gerald M; Eddy, Sean R; Henry, Gilbert L
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2019
Publication date
Aug 13, 2019
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2083464903
Copyright
© 2019. This article is published under https://creativecommons.org/publicdomain/zero/1.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.