RT Journal Article
SR Electronic
T1 A genetic, genomic, and computational resource for exploring neural circuit function
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 385476
DO 10.1101/385476
A1 Davis, Fred P.
A1 Nern, Aljoscha
A1 Picard, Serge
A1 Reiser, Michael B.
A1 Rubin, Gerald M.
A1 Eddy, Sean R.
A1 Henry, Gilbert L.
YR 2019
UL http://biorxiv.org/content/early/2019/08/13/385476.abstract
AB 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.HighlightsTranscriptomes reveal transmitters and receptors expressed in Drosophila visual neuronsTandem affinity purification of intact nuclei (TAPIN) enables neuronal genomicsTAPIN-seq and genetic drivers establish transcriptomes of 67 Drosophila cell typesProbabilistic modeling simplifies interpretation of large transcriptome catalogs