A genetic, genomic, and computational resource for exploring neural circuit function

作者: Fred P. Davis , Aljoscha Nern , Serge Picard , Michael B. Reiser , Gerald M. Rubin

DOI: 10.1101/385476

关键词:

摘要: 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 cell types the Drosophila visual system using genetic lines to access individual types, TAPIN-seq method measure transcriptomes, and a probabilistic interpret these measurements. We used tools build resource high-resolution transcriptomes for 100 driver covering 67 types. Combining recently reported connectomes helps how information transmitted processed across range scales, from synapses circuit pathways. describe examples that include identifying neurotransmitters, including cases co-release, generating functional hypotheses based on receptor expression, as well strong commonalities between different

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