Cell Reports · 2019 · 39 citations · 84 references
Life SciencesBiochemistryCell BiologyCell SignalingExercise PhysiologySignal TransductionAerobic ExerciseCalcium SignalingMuscle PhysiologySecretome AnalysisStress Signaling PathwaysMrna Stability ControlPhosphoproteomic ProfilingPhosphoproteomicsPhosphorylation In Stress ResponsesProtein Phosphorylation SignalingSkeletal Muscle-derived Cells
Exercise engages signaling networks to control the release of circulating factors beneficial to health. However, the nature of these networks remains undefined. Using high-throughput phosphoproteomics, we quantify 20,249 phosphorylation sites in skeletal muscle-like myotube cells and monitor their responses to a panel of cell stressors targeting aspects of exercise signaling in vivo. Integrating these in-depth phosphoproteomes with the phosphoproteome of acute aerobic exercise in human skeletal muscle suggests that co-administration of β-adrenergic and calcium agonists would activate complementary signaling relevant to this exercise context. The phosphoproteome of cells treated with this combination reveals a surprising divergence in signaling from the individual treatments. Remarkably, only the combination treatment promotes multisite phosphorylation of SERBP1, a regulator of Serpine1 mRNA stability, a pro-fibrotic secreted protein. Secretome analysis reveals that the combined treatments decrease secretion of SERPINE1 and other deleterious factors. This study provides a framework for dissecting phosphorylation-based signaling relevant to acute exercise.
84
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Damian Szklarczyk, Annika L. Gable, David Lyon et al. · Nucleic Acids Research · 2018 · 19.2K citations · Full text