Integrating simulated and experimental data to identify mitochondrial bioenergetic defects in Parkinson’s Disease models
Fig 5
Unsupervised clustering separates impairments according to the induced bioenergetic phenotype.
Impairments generally cluster together as they induce distinct bioenergetic phenotypes. Red/blue shading indicates the predicted change in the presence of the simulated impairment compared to physiological conditions (PC) as described in Methods. Row annotations indicate the component with the simulated impairment (CI, complex I; CIII, complex III; CIV, complex IV; F1, F1Fo ATP synthase; DH: dehydrogenase flux; Hle, proton leak; KCons, cytosolic ATP consumption; KDyn, cytoslic ATP production) and the magnitude of the defect [black-white: 100%−0% of activity in PC]. Leak = oligomycin-insensitive oxygen consumption rate (OCR).