A searchable image resource of Drosophila GAL4 driver expression patterns with single neuron resolution
Author:
Meissner Geoffrey W1ORCID, Nern Aljoscha1ORCID, Dorman Zachary1ORCID, DePasquale Gina M1, Forster Kaitlyn1, Gibney Theresa1ORCID, Hausenfluck Joanna H1, He Yisheng1, Iyer Nirmala A1, Jeter Jennifer1, Johnson Lauren1, Johnston Rebecca M1, Lee Kelley1, Melton Brian1, Yarbrough Brianna1, Zugates Christopher T1ORCID, Clements Jody1, Goina Cristian1ORCID, Otsuna Hideo1ORCID, Rokicki Konrad1ORCID, Svirskas Robert R1ORCID, Aso Yoshinori1ORCID, Card Gwyneth M1ORCID, Dickson Barry J1ORCID, Ehrhardt Erica1ORCID, Goldammer Jens1ORCID, Ito Masayoshi1, Kainmueller Dagmar2ORCID, Korff Wyatt1ORCID, Mais Lisa2, Minegishi Ryo1ORCID, Namiki Shigehiro1ORCID, Rubin Gerald M1ORCID, Sterne Gabriella R1ORCID, Wolff Tanya1ORCID, Malkesman Oz1ORCID,
Affiliation:
1. Janelia Research Campus, Howard Hughes Medical Institute 2. Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC)
Abstract
Precise, repeatable genetic access to specific neurons via GAL4/UAS and related methods is a key advantage of Drosophila neuroscience. Neuronal targeting is typically documented using light microscopy of full GAL4 expression patterns, which generally lack the single-cell resolution required for reliable cell type identification. Here, we use stochastic GAL4 labeling with the MultiColor FlpOut approach to generate cellular resolution confocal images at large scale. We are releasing aligned images of 74,000 such adult central nervous systems. An anticipated use of this resource is to bridge the gap between neurons identified by electron or light microscopy. Identifying individual neurons that make up each GAL4 expression pattern improves the prediction of split-GAL4 combinations targeting particular neurons. To this end, we have made the images searchable on the NeuronBridge website. We demonstrate the potential of NeuronBridge to rapidly and effectively identify neuron matches based on morphology across imaging modalities and datasets.
Funder
Howard Hughes Medical Institute
Publisher
eLife Sciences Publications, Ltd
Subject
General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience
Cited by
39 articles.
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