Biology subjects

Natale, A.

Publications and source records attributed to Natale, A..

3 recordsLinked to original sources

bioRxiv2026

ARMC1 regulates mitochondrial fatty acid oxidation through theinsertase/scramblase MTCH2

MTCH2 (mitochondrial carrier homolog 2) is a noncanonical member of the solute carrier family with five transmembrane (TM) helices, localized to the mitochondrial outer membrane. MTCH2's atypical topology creates a membrane-accessible hydrophilic groove, predicted to be necessary for its protein insertase and lipid scramblase activities. MTCH2 is linked to lipid metabolism and obesity and is required for starvation-induced mitochondrial hyperfusion. Here, we show that MTCH2 is a stable component of a complex containing the Armadillo (ARM) repeat-containing protein, ARMC1, and the DnaJ/Hsp40 chaperone protein, DNAJC11. Protein crosslinking, protein structural modeling, and molecular dynamics simulations demonstrate that the ARMC1 alpha-helical C-terminal domain (CTD) inserts into and stably interacts with the MTCH2 hydrophilic groove and blocks its lipid scramblase activity. We observe that starvation-induced mitochondrial fatty acid oxidation (FAO) is negatively regulated by the ARMC1-MTCH2 interaction. In ARMC1-deficient cells, FAO is stimulated compared to wild-type cells and lipid droplet abundance is significantly reduced. The altered lipid phenotype of ARMC1-/- cells is strictly dependent on MTCH2 and is reversed by ARMC1 expression in a manner dependent on its CTD. Beyond this metabolic axis, we also identify a function for ARMC1 in regulating lysosomal distribution and autophagic flux that is independent of its CTD and interaction with MTCH2. Thus, our data support a model in which the MTCH2-ARMC1 interaction functions as a metabolic switch during starvation to regulate the balance between fat storage and fat burning.

cell biology↗

bioRxiv2025

Comparing Multislice Simulations of MD Simulations with CryoEM Exposes Membrane Prediction Errors

Cryo-electron microscopy (cryoEM) is a powerful tool for atomic- and molecular-resolution structure determination, while molecular dynamics (MD) simulations are similarly powerful tools for predicting molecular trajectories. Given the challenges in estimating biomolecule dynamics with cryoEM alone, MD simulations are employed to forecast molecular motions and to interpret cryoEM reconstructions. Few methods, however, can evaluate MD predictions directly. Here, we use multislice wave propagation to project sampled snapshots of MD trajectories, either coarse-grained (CG) or all-atom (AA), into simulated cryoEM 3D reconstructions. We compared simulated and experimental images of low- and high-curvature membranes to show that MD simulations qualitatively reflect the fluidity and thus the contrast of biological membranes observed by cryoEM. MD simulations also correctly predicted bilayer dimensions for single component flat bilayers observed in cryoEM images. However, Martini3 CG-MD simulations failed to predict changes in membrane thickness induced by high curvature and with heterogeneous lipid compositions. We pinpointed the misbehavior of polyunsaturated lipid tails and cholesterol in Martini3 simulations as the main error sources contributing to inaccurate bilayer thicknesses. Our comparisons also explain membrane structure discrepancies between cryoEM and small angle X-ray scattering (SAXS). Further testing of MD predictions by direct comparisons between simulated and experimental cryoEM images should lead to the development of more accurate MD force fields. Statement of SignificanceMolecular dynamics (MD) simulations are frequently employed to predict the dynamics of biological macromolecules and assemblies, but these predictions remain difficult to validate experimentally. Cryo-electron microscopy (cryoEM) can be used to directly image the conformational ensemble of macromolecules, but images of Coulombic potential cannot be easily compared to snapshots of atoms from MD simulations. Here, we show that a physics-based multislice image projection algorithm accurately converts MD trajectories to simulated cryoEM 2D images and 3D reconstructions. Using this approach, we identify consistencies and discrepancies between MD simulations and cryoEM experiments. Notably, coarse-grained MD performs poorly compared to all-atom MD when simulating membranes composed of mixtures of lipids that include cholesterol and polyunsaturated lipids, providing observables for MD force field improvement.

biophysics↗

bioRxiv2020

K2P channel C-type gating involves asymmetric selectivity filter order-disorder transitions

K2P channels regulate nervous, cardiovascular, and immune system functions1,2 through the action of their selectivity filter (C-type) gate3-6. Although structural studies show K2P conformations that impact activity7-13, no selectivity filter conformational changes have been observed. Here, combining K2P2.1 (TREK-1) X-ray crystallography in different potassium concentrations, potassium anomalous scattering, molecular dynamics, and functional studies, we uncover the unprecedented, asymmetric, potassium-dependent conformational changes underlying K2P C-type gating. Low potassium concentrations evoke conformational changes in selectivity filter strand 1 (SF1), selectivity filter strand 2 (SF2), and the SF2-transmembrane helix 4 loop (SF2-M4 loop) that destroy the S1 and S2 ion binding sites and are suppressed by C-type gate activator ML335. Shortening the uniquely long SF2-M4 loop to match the canonical length found in other potassium channels or disrupting the conserved Glu234 hydrogen bond network supporting this loop blunts C-type gate response to various physical and chemical stimuli. Glu234 network destabilization also compromises ion selectivity, but can be reversed by channel activation, indicating that the ion binding site loss reduces selectivity similar to other channels14. Together, our data establish that C-type gating occurs through potassium-dependent order-disorder transitions in the selectivity filter and adjacent loops that respond to gating cues relayed through the SF2-M4 loop. These findings underscore the potential for targeting the SF2-M4 loop for the development of new, selective K2P channel modulators.

biophysics↗