Transcriptomics

Dataset Information

0

A GENETIC, GENOMIC, AND COMPUTATIONAL RESOURCE FOR EXPLORING NEURAL CIRCUIT FUNCTION


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. 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.

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE116969 | GEO | 2018/08/05

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2020-06-01 | GSE114454 | GEO
| EGAD00001009005 | EGA
2021-07-08 | GSE131678 | GEO
2014-02-20 | GSE55137 | GEO
2020-08-04 | GSE135364 | GEO
2014-02-20 | E-GEOD-55137 | biostudies-arrayexpress
2024-01-24 | GSE253642 | GEO
2019-01-02 | GSE117245 | GEO
2021-05-05 | GSE173773 | GEO
2021-05-05 | GSE173776 | GEO