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Raw Data from Manuscript "A genetic screen of transcription factors in the Drosophila melanogaster abdomen performed in an undergraduate laboratory course"

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Figshare2024-04-04 更新2026-04-28 收录
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The raw image files and supplemental material for the manuscript "A genetic screen of transcription factors in the Drosophila melanogaster abdomen identifies novel pigmentation genes", are included here. This manuscript details a genetic screen in which we targeted 71 transcription factor genes in the Drosophila abdomen, either overexpressing or knocking out the target gene. In our screen, we used a transgenic CRISPR/Cas9 approach to overexpress or knockout a transcription factor gene in the pannier expression domain, which drives expression in the middle of the abdomen and thorax.Supplemental material includes Figures S1, S2, and S3; Tables S1 and S2; and Supplementary File 1.Image files are named to include 1) the gene being targeted, indicated by its abbreviation; 2) whether the treatment is overexpression (e) or knockout (ko); 3) the Bloomington ID numbers of the parents; and 4) whether the fly is male or female.For example, if a file is named "ab_e_67040_83608_f0001", the "ab" indicates the gene targeted, in this case, abrupt; the "e" indicates that this was an overexpression cross; 67040 is the Bloomington ID for the female parent of the cross; 83608 is the Bloomington ID for the male parent of the cross; and the "f0001" indicates that the fly in the image is female.The numbers 67040 and 67077 are the IDs for the overexpression and knockout lines, respectively. In all cases, the female parent was the one that contained the pannier-Gal4 driver. The male parent contained the guide RNAs for the target genes.For the controls, overexpression controls are labeled "gof_control_f/m", and knockout controls are labeled "lof_control_f/m".Raw numerical measurements of these images is included in file Supplementary File 1. Measurements from overexpression experiments and from knockout experiments are on separate, labeled tabs. In this file, the darkness measurement has been converted to percent darkness using the following formula:(255 - x) / 255where x is the "mean A4 darkness" value.
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2024-04-04
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