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. 2020 Aug 14;7(4):ENEURO.0224-20.2020. doi: 10.1523/ENEURO.0224-20.2020

Table 1.

Putative miR-92a target genes

Gene name Flybase ID RNAi line  PI for nSyb-GAL4 screen Retest score p value
CG12024 CG12024 GD-20143 0.45 ± 0.02
CG8360 CG8360 GD-41643 0.40 ± 0.08    
cpr50Ca CG13338 KK-100317 0.64 ± 0.07 0.56 ± 0.08 0.15
khc-73 CG8183 KK-105984 0.38 ± 0.09 0.28 ± 0.07  0.02*
crebA CG7450 KK-110650 0.37 ± 0.06 0.37 ± 0.08 0.09

Candidate mRNA targets for miR-92a were selected by applying the pipeline described in Figure 5A. Five genes were screened for a role in memory formation using an RNAi approach. The five lines from the Vienna Drosophila RNAi left (https://stockcenter.vdrc.at/control/main) that were tested are listed. RNAi lines were crossed to the nSyb-GAL4 driver and tested for 3-h memory with n = 4. Each individual RNAi line was compared with a daily nSyb-GAL4>UAS-dcr-2 control in the respective GD or KK background. The average performance index for the nSyb-GAL4>UAS-dcr-2 control was 0.36 ± 0.1 for the GD control (n = 4) and 0.49 ± 0.04 for the KK control. Three lines with a trend for a significant effect on memory were retested with n = 6. Only the khc-73 RNAi line, had a PI significantly lower than the control (n = 10). Results shown are the mean ± SEM. Two-tailed, two-sample Student’s t tests, *p < 0.05.