Fig. 1: Faf modulates Ft-mediated regulation of tissue growth.
From: The deubiquitylating enzyme Fat facets promotes Fat signalling and restricts tissue growth

a–i Modulation of Faf expression affects tissue growth during normal development or in conditions when Ft is over-expressed or depleted. Shown are adult wings from flies raised at 25 °C expressing the indicated transgenes in the wing pouch under the control of nub-Gal4 (nub > ). Compared to control adult wings expressing GFP (a), Ft-expressing wings were smaller (d), while ft depletion caused increased growth (g). Depletion of faf mildly enhanced tissue growth (b), while faf over-expression resulted in undergrowth (c). faf depletion resulted in a partial rescue of the undergrowth phenotype caused by UAS-ft (e), while it enhanced the overgrowth phenotype of ftRNAi flies (h). In contrast, UAS-faf enhanced the growth impairment of UAS-ft flies (f) and mildly suppressed the overgrowth phenotype of ftRNAi flies (i). j Quantification of relative adult wing sizes from flies expressing the indicated transgenes under the control of nub-Gal4. Data are represented as % of the average wing area of the respective controls (nub > GFP, average set to 100%). Data are shown as average ± standard deviation, with all data points depicted. (n = 22, 25, 29, 20, 31, 26, 27, 29, 25, 23, 15, 47 and 19). Significance was assessed using Brown-Forsythe and Welch one-way ANOVA analysis comparing all genotypes to their respective controls (nub > GFP, nub > ft or nub > ftRNAi; black, blue or red asterisks, respectively) with Dunnett’s multiple comparisons test. *, p < 0.05; **, p < 0.01; ***, p < 0.001; ns, non-significant. Scale bar: 500 µm. k Quantification of wing shape. Data is represented as the ratio between the length of the PD axis and the length of the AP axis. All data is represented as average ± standard deviation, with all data points depicted. Vertical dashed lines separate different genotype conditions (nub > , nub > ft or nub > ftRNAi). Significance was assessed using Kruskal-Wallis ANOVA analyses comparing all genotypes to the respective control (nub > GFP, nub>ft or nub>ftRNAi; black, blue or red asterisks, respectively), with Dunn’s multiple comparisons test. *, p < 0.05; **, p < 0.01; ***, p < 0.001. ns, non-significant. (n = 22, 25, 29, 20, 31, 26, 27, 29, 25, 23, 25, 47 and 19).