Figure 4. Progressive heart failure in sandman mutants.
(A–D) Estimated cardiac output per second (A) and per stroke (B) were well fit by a Boltzmann sigmoidal regression and the systolic (C) and diastolic (D) intervals were well fit by single exponential growth regression curves for wild-type (grey), sandman (red), cardiomyocyte rescue of sandman using R94C02::Gal4 (green) and the clean excision (pink) at specified ages. n = 7 to 27 animals per genotype and age. The shaded areas represent the mean +/− s.d., with the regressions plotted as dashed lines.
Figure 4—figure supplement 1. Progressive loss of diastole in sandman mutants.
(A) Two-dimensional probability map of fractional shortening and systolic interval in wild-type and sandman mutant animals at various ages. (B) Two-dimensional probability map of chamber diameter and heartbeat duration with median +/− quartile overlay for systole (red) and diastole (blue). n = 9 to 14 animals per genotype/age.
Figure 4—figure supplement 2. Additional cardiac functional parameters for sandman mutants.
Various functional parameters as a function of genotype and age: (A) Estimated cardiac output per second (boxplot) and per stroke (filled circles, mean +/− s.d.). (B) Systolic interval. (C) Diastolic Interval. (D) Number of contractions per second. (E) Fractional shortening. (F) Heart chamber diameter across the cardiac cycle (boxplot) with median end systolic diameter (ESD, blue triangle) and end diastolic diameter (EDD, red triangle). n = 7 to 27 animals per genotype/age. Kruskal-Wallis one-way ANOVA followed by Dunn’s multiple comparisons test. ns = not significant, *p<0.05, **p<0.01, ***p<0.001.
Figure 4—figure supplement 3. Transgenic rescue in sandman mutants at 50 days of age.
Estimated cardiac output per second (boxplot) in wild-type animals, sandman mutants, and sandman mutants expressing the sandman cDNA in body wall muscles but not the heart (R37B05), or in the heart (R94C02 and tinCΔ4). n = 12 to 27 animals per genotype. Kruskal-Wallis one-way ANOVA followed by Dunn’s multiple comparisons test. ns = not significant, *p<0.05, **p<0.01, ***p<0.001.