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Or42b-Gal4 is a genetic tool that allows for the expression of desired genes in a specific subset of olfactory receptor neurons in Drosophila. It serves as a driver line, enabling researchers to target and manipulate gene expression in this neuronal population.

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Lab products found in correlation

Or42a gal4, by Bloomington Drosophila Stock Center (3 mentions) Gr21a gal4, by Bloomington Drosophila Stock Center (2 mentions) Uas orco, by Bloomington Drosophila Stock Center (2 mentions) Uas gcamp6f, by Bloomington Drosophila Stock Center (2 mentions) Orco gal4, by Bloomington Drosophila Stock Center (1 mentions) Gh146 gal4, by Bloomington Drosophila Stock Center (1 mentions) Uas cschrimson, by Bloomington Drosophila Stock Center (1 mentions) Orco1, by Bloomington Drosophila Stock Center (1 mentions) Or49b gal4, by Bloomington Drosophila Stock Center (1 mentions) Or56a gal4, by Bloomington Drosophila Stock Center (1 mentions) Uas tnt, by Bloomington Drosophila Stock Center (1 mentions) Uas gcamp6m, by Bloomington Drosophila Stock Center (1 mentions) Or92a gal4, by Bloomington Drosophila Stock Center (1 mentions)

4 protocols using or42b gal4

1

Drosophila Transgenic Line Usage

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The following strains were used: Canton-S and Berlin wild type (gift of Justin Blau), w1118;;20XUAS-CsChrimson-mVenus (Bloomington Stock #55136, gift of Vivek Jayaraman and Julie Simpson, Janelia Research Campus), w*;;Gr21a-Gal4 (Bloomington stock #23890), w*;;Or42a-Gal4 (Bloomington stock #9969), w*;;Or42b-Gal4 (Bloomington stock #9972), GMR-hid/CyO,P{sevRas1.V12} (Bloomington stock #5771).
Gepner R., Mihovilovic Skanata M., Bernat N.M., Kaplow M, & Gershow M. (2015). Computations underlying Drosophila photo-taxis, odor-taxis, and multi-sensory integration. eLife, 4, e06229.
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2

Olfactory Neuron Manipulation in Drosophila

Cited 1 time
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Fly strains used in the present study were as follows: Orco-Gal4 (Bloomington #26818), UAS-GCaMP6f (Bloomington #42747), w−;; w+, orco1 (null allele, Bloomington #23129), Or42a-Gal4 (Bloomington #9970), Or42b-Gal4 (Bloomington #9972), UAS-Orco (second, this study), UAS-CsChrimson (Bloomington #55135), Tsh-Gal80 (second, kindly gifted by Dr. Miesenböck), UAS-RGECO1 (our stock)43 , UAS-hChR2[H134R] (our stock)43 , Orco-ChR2 (Bloomington #63041)44 (link), GH146-Gal4 (Bloomington #30026).
Utashiro N., Williams C.R., Parrish J.Z, & Emoto K. (2018). Prior activity of olfactory receptor neurons is required for proper sensory processing and behavior in Drosophila larvae. Scientific Reports, 8, 8580.
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3

Genetic Tools for Olfactory Research

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All flies were raised on standard cornmeal agar medium, under 60% humidity and a 12-h light/12-h dark cycle at 25 °C. The Or10a-Gal4 (BL9944), Or42b-Gal4 (BL9971), Or43a-Gal4 (BL9974), Or49b-Gal4 (BL9986), Or56a-Gal4 (BL9988 and 23896), Or82a-Gal4 (BL23125), Or85a-Gal4 (BL23133), Or92a-Gal4 (BL23140), UAS-Orco (BL23145), Orco1 (link) (BL23129), Orco2 (link) (BL23130), UAS-TNT (BL28837 and 28997), UAS-TNT (inactive, BL28844), UAS-GCaMP6m (BL42748 and 42750), UAS-GCaMP6f (BL42747), and UAS-H134R-ChR2 (BL28995) flies were from the Bloomington Stock Center. UAS-mCD8-GFP was a gift from Dr. Chris Potter at the Johns Hopkins University School of Medicine, USA. UAS-P2X2 was a gift from Dr. Zuoren Wang at the Institute of Neuroscience, China. The flies have been backcrossed for seven generations to a laboratory w1118 strain.
Cao L.H., Yang D., Wu W., Zeng X., Jing B.Y., Li M.T., Qin S., Tang C., Tu Y, & Luo D.G. (2017). Odor-evoked inhibition of olfactory sensory neurons drives olfactory perception in Drosophila. Nature Communications, 8, 1357.
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4

Genetic Toolkit for Olfactory Neuron Manipulation

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The following strains were used: Berlin wild type (gift of Justin Blau), w1118;; 20XUAS-CsChrimson-mVenus (Bloomington Stock 55136, gift of Vivek Jayaraman and Julie Simpson, Janelia Research Campus), w*;;Gr21a-Gal4 (Bloomington stock 23890), w*;;Or42a-Gal4 (Bloomington stock 9969), w*;;Or42b-Gal4 (Bloomington stock 9972), w*;;Or35a-Gal4 (Bloomington stock 9968), w*;;Or59a-Gal4 (Bloomington stock 9989)
Gepner R., Wolk J., Wadekar D.S., Dvali S, & Gershow M. (2018). Variance adaptation in navigational decision making. eLife, 7, e37945.
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