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Pancreatic β cells couple nutrient metabolism with appropriate insulin secretion. Here, we show that pyruvate kinase (PK), which converts ADP and phosphoenolpyruvate (PEP) into ATP and pyruvate, underlies β cell sensing of both glycolytic and mitochondrial fuels. Plasma membrane-localized PK is sufficient to close KATP channels and initiate calcium influx. Small-molecule PK activators increase the frequency of ATP/ADP and calcium oscillations and potently amplify insulin secretion. PK restricts respiration by cyclically depriving mitochondria of ADP, which accelerates PEP cycling until membrane depolarization restores ADP and oxidative phosphorylation. Our findings support a compartmentalized model of β cell metabolism in which PK locally generates the ATP/ADP required for insulin secretion. Oscillatory PK activity allows mitochondria to perform synthetic and oxidative functions without any net impact on glucose oxidation. These findings suggest a potential therapeutic route for diabetes based on PK activation that would not be predicted by the current consensus single-state model of β cell function.Neurons within the arcuate nucleus control energy balance and represent the functional substrates through which FGF1 deploys its anti-diabetic action. Alonge et al. (2020) now report that the integrity of arcuate perineuronal nets, an extracellular matrix component that enmeshes GABAergic neurons, is reversibly altered in diabetic rats and a key component for FGF1-mediated diabetic remission. These novel insights unravel how perineuronal nets dynamically contribute to the central control of glycemia.Nutrient acquisition and metabolism are integral components of cell growth, proliferation, and differentiation programs. AZ-33 ic50 In a recent study in Nature, Bian et al. (2020) revealed that cancer cells outcompete T cells for methionine uptake, resulting in diminished SAM production, attenuated H3K79 dimethylation, decreased STAT5 expression, and impaired T cell immunity to cancer.The need for discovering new genes driving metabolic disease susceptibility is clear; even clearer is the need for their subsequent functional characterization. A new paper reports a role for miR-128-1 in metabolic control through a series of elegant mouse studies, and an intriguing hypothesis about its "thrifty" role in metabolism.Glia-neuron interactions underlie a number of homeostatic processes in the brain. In this issue of Cell Metabolism, Li et al. (2020) demonstrate that the regeneration of central nervous system axons is accelerated through modulation of neuronal GABA-B receptor activity by metabolic energy intermediaries released from glia.The consensus model of glucose-stimulated insulin secretion (GSIS) holds that ATP generation by oxidative phosphorylation directly regulates KATP channel activity and thus insulin granule release, a concept inconsistent with bioenergetic principles. Here, Lewandowski et al. (2020) and Abulizi et al. (2020) report that regulation of GSIS is much more complex as different sources of ATP generation are essential to control this process, which can be targeted in vivo and additionally modulate hepatic glucose production. These findings establish an important new conceptual framework of GSIS and in vivo glucose homeostasis.Electron paramagnetic resonance spectroscopy (EPR) is a uniquely powerful technique for characterizing conformational dynamics at specific sites within a broad range of molecular species in water. Computational tools for fitting EPR spectra have enabled dynamics parameters to be determined quantitatively. These tools have dramatically broadened the capabilities of EPR dynamics analysis, however, their implementation can easily lead to overfitting or problems with self-consistency. As a result, dynamics parameters and associated properties become difficult to reliably determine, particularly in the slow-motion regime. Here, we present an EPR analysis strategy and the corresponding computational tool for batch-fitting EPR spectra and cluster analysis of the χ2 landscape in Linux. We call this tool CSCA (Chi-Squared Cluster Analysis). The CSCA tool allows us to determine self-consistent rotational diffusion rates and enables calculations of activation energies of diffusion from Arrhenius plots. We demonstrate CSCA using a model system designed for EPR analysis a self-assembled nanoribbon with radical electron spin labels positioned at known distances off the surface. We anticipate that the CSCA tool will increase the reproducibility of EPR fitting for the characterization of dynamics in biomolecules and soft matter.The formation of wall-adherent platelet aggregates is a critical process in arterial thrombosis. A growing aggregate experiences frictional drag forces exerted on it by fluid moving over or through the aggregate. The magnitude of these forces is strongly influenced by the permeability of the developing aggregate; the permeability depends on the aggregate's porosity. Aggregation is mediated by formation of ensembles of molecular bonds; each bond involves a plasma protein bridging the gap between specific receptors on the surfaces of two different platelets. The ability of the bonds existing at any time to sustain the drag forces on the aggregate determines whether it remains intact or sheds individual platelets or larger fragments (emboli). We investigate platelet aggregation in coronary-sized arteries using both computational simulations and in vitro experiments. The computational model tracks the formation and breaking of bonds between platelets and treats the thrombus as an evolving porous, viscoelastic matnist-induced activation more effective.Proteins carry out a wide range of functions that are tightly regulated in space and time. Protein phosphorylation is the most common post-translation modification of proteins and plays a key role in the regulation of many biological processes. The finding that many phosphorylated residues are not solvent exposed in the unphosphorylated state opens several questions for understanding the mechanism that underlies phosphorylation and how phosphorylation may affect protein structures. First, because kinases need access to the phosphorylated residue, how do such buried residues become modified? Second, once phosphorylated, what are the structural effects of phosphorylation of buried residues, and do they lead to changed conformational dynamics? We have used the ternary complex between p27Kip1 (p27), Cdk2, and cyclin A to study these questions using enhanced sampling molecular dynamics simulations. In line with previous NMR and single-molecule fluorescence experiments, we observe transient exposure of Tyr88 in p27, even in its unphosphorylated state.