Fig. 3: The Cyfip mutant transcriptome revealed a dysregulation of energy metabolism.

a Schematic of the experimental design. Listed is the number of genes that were identified and passed consecutive filters. Created with BioRender.com. b Principal component analysis of RNA-seq data. Samples are color-coded according to the genotype. n = 3, where n = independent samples, pool of 20 fly heads. c Volcano plot showing the global transcriptional changes in control vs Cyfip^85.1/+ determined by RNA-seq. Moderated t test followed by the Benjamini-Hochberg method test for false discovery rate (FDR). Each circle represents one RNA, and colored circles represent differentially expressed genes (DEGs) significantly upregulated (FDR ≤ 0.05 and LFC ≥ 0.585 (in orange)) or significantly downregulated (FDR ≤ 0.05 and LFC ≤ −0.585 (in blue)). d Heatmap representing the DEGs significantly dysregulated in the different samples. e KEGG pathway enrichment analysis performed on the dysregulated mRNAs in Cyfip^85.1/+ mutants. Only the top interesting pathways for sleep and circadian rhythm behavior are represented in the scheme (see also Supplementary Data 2). Over-representation analysis (ORA) followed by Benjamini–Hochberg for false discovery rate. Parent KEGG terms are indicated in color. f Upregulated and downregulated genes (FDR ≤ 0.05, |LFC| ≥ 0.585) in Cyfip^85.1/+ flies have been compared with the database for Drosophila wakefulness genes¹³. p = 4.514⁻⁰⁸ assessed by hypergeometric test, overlap between wakefulness-promoting genes and upregulated genes in Cyfip^85.1/+ flies. Source data are provided in Supplementary Data files.