A GAL4-driver line resource for Drosophila neurobiology.

By Arnim Jenett, Gerald M. Rubin, Teri-Tb Ngo, D. Shepherd, C. Murphy, Heather Dionne, B. Pfeiffer, Amanda Cavallaro, Donald Hall, Jennifer Jeter and 26 more. 2012

1,347 citations recorded by the source corpus.

We established a collection of 7,000 transgenic lines of Drosophila melanogaster. Expression of GAL4 in each line is controlled by a different, defined fragment of genomic DNA that serves as a transcriptional enhancer. We used confocal microscopy of dissected nervous systems to determine the expression patterns driven by each fragment in the adult brain and ventral nerve cord. We present image data on 6,650 lines. Using both manual and machine-assisted annotation, we describe the expression patterns in the most useful lines. We illustrate the utility of these data for identifying novel neuronal cell types, revealing brain asymmetry, and describing the nature and extent of neuronal shape stereotypy. The GAL4 lines allow expression of exogenous genes in distinct, small subsets of the adult nervous system. The set of DNA fragments, each driving a documented expression pattern, will facilitate the generation of additional constructs for manipulating neuronal function.

Subfields: Cellular and Molecular Neuroscience, Genetics, Plant Science

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Citations in the corpus

Dopaminergic neurons write and update memories with cell-type-specific rules (2016, methodology): “DOI: 10.7554/eLife.16135 10 of 15 image databases (http://flweb.janelia.org) (Jenett et al., 2012), BrainBase (http://brainbase.imp.ac. at), and constructed by inserting VT026773-p65ADZp in attP40 and R72B05-ZpGAL4DBD in attP2 as described previously (Pfeiffer et al., 2010).”
Coordinated and Compartmentalized Neuromodulation Shapes Sensory Processing in Drosophila (2015, neutral): “Strains and sources: VT026001-Gal4, VT043657-Gal4, VT203149-Gal4 (Vienna Drosophila Resource Center (VDRC); https://braingazer.org/brainbaseweb); R25D01-Gal4, R93B07-Gal4, R66C08-Gal4, R16A06-Gal4, R35B12Gal4, R53C03-LexA, R25D01-LexA, R14C08-LexA, R58E02-Gal4, R58E02-LexA (Jenett et al., 2012; http”
The neuronal architecture of the mushroom body provides a logic for associative learning (2014, methodology): “Most enhancer fragments are from the collection of GAL4 lines described in Jenett et al. (2012); see ‘Materials and methods’ for the details of the TH and TDC2 constructs.”
Reward signal in a recurrent circuit drives appetitive long-term memory formation (2015, neutral): “Our results suggest that a reward signal transforms a nascent memory trace into a stable LTM using a feedback circuit at the cost of memory specificity.”
Cell-type Specific Labeling of Synapses in vivo through Synaptic Tagging with Recombination (STaR) (2014, background): “…STaR was greatly facilitated by the large collection of cell-type-specific enhancer/promoters available in the fly visual system (Gohl et al., 2011; Jenett et al., 2012; Pfeiffer et al., 2008), similar reagents are rapidly becoming available for many other regions of the fly nervous system and…”
Activity of Defined Mushroom Body Output Neurons Underlies Learned Olfactory Behavior in Drosophila (2015, background): “By visually screening available GAL4 collections (Jenett et al., 2012; Bidaye et al., 2014), we identified three fly lines that labeled candidate postsynaptic neurons with arbors in the tip regions, b2, b 0 2, and g5, of the horizontal mushroom body lobes (Figure 1).”
Two independent mushroom body output circuits retrieve the six discrete components of Drosophila aversive memory. (2015, methodology): “’’ We then performed a similar set of experiments on g KCs, using the 12E03 line from the FlyLight collection (Jenett et al., 2012) (Figure S1B; see also the FlyLight project website: http://flweb.”
Drosophila Learn Opposing Components of a Compound Food Stimulus (2014, methodology): “To test whether either of these neurons were required for DEET learning, we expressed the dominant temperature-sensitive UAS-shibire transgene [22] in MP1, MV1, and M3 neurons using the c061; MBGAL80, R73F07, and NP5272 and NP1528 GAL4 drivers [7, 23, 24], respectively.”
Generating Customized Transgene Landing Sites and Multi-Transgene Arrays in Drosophila Using phiC31 Integrase (2015, methodology): “Stacks were aligned to a standard reference brain (Jenett et al. 2012) by neuropil signal, using the JBA algorithm (Peng et al. 2011).”