Biology subjects

Zeno, W.

Publications and source records attributed to Zeno, W..

3 recordsLinked to original sources

bioRxiv2023

Sizes, Conformational fluctuations, and SAXS profiles for Intrinsically Disordered Proteins

The preponderance of Intrinsically Disordered Proteins (IDPs) in the eukaryotic proteome, and their ability to interact with each other, folded proteins, RNA, and DNA for functional purposes, have made it important to quantitatively characterize their biophysical properties. Toward this end, we developed the transferable Self-Organized Polymer (SOP-IDP) model to calculate the properties of several IDPs. The values of the radius of gyration (Rg) obtained from SOP-IDP simulations are in excellent agreement (correlation coefficient of 0.96) with those estimated from SAXS experiments. For AP180 and Epsin, the predicted values of the hydrodynamic radii (Rhs) are in quantitative agreement with those from Fluorescence Correlation Spectroscopy (FCS) experiments. Strikingly, the calculated SAXS spectra for thirty-six IDPs are also nearly superimposable on the experimental profiles. The dependence of Rg and the mean end-to-end distance (Ree) on chain length, N, follows Florys scaling law, R {approx} aN 0.588 ( = g, and e), suggesting that globally IDPs behave as synthetic polymers in a good solvent. The values of ag, and ae are 0.20 nm and 0.48 nm respectively. Surprisingly, finite size corrections to scaling, expected on theoretical grounds, are negligible for Rg and Ree. In contrast, only by accounting for the finite sizes of the IDPs, the dependence of experimentally measurable Rh on N can be quantitatively explained using{nu} = 0.588. Although Flory scaling law captures the estimates for Rg, Ree, and Rh accurately, the spread of the simulated data around the theoretical curve is suggestive of of sequence-specific features that emerge through a fine-grained analysis of the conformational ensembles using hierarchical clustering. Typically, the ensemble of conformations partitiones into three distinct clusters, having different equilibrium populations and structural properties. Without any further readjustments to the parameters of the SOP-IDP model, we also obtained excellent agreement with paramagnetic relaxation enhancement (PRE) measurements for -synuclein. The transferable SOP-IDP model sets the stage for several applications, including the study of phase separation in IDPs and interactions with nucleic acids.

biophysics↗

bioRxiv2021

A continuum membrane model predicts curvature sensing by helix insertion

Protein domains, such as ENTH (Epsin N-terminal homology) and BAR (bin/amphiphysin/rvs), contain amphipathic helices that drive preferential binding to curved membranes. However, predicting how the physical parameters of these domains control this curvature sensing behavior is challenging due to the local membrane deformations generated by the nanoscopic helix on the surface of a large sphere. To overcome this challenge, we here use a deformable continuum model that accounts for the physical properties of the membrane and the helix insertion to predict curvature sensing behavior and is in good agreement with existing experimental data. Specifically, we show that the insertion can be modeled as a local change to the membranes spontaneous curvature,[Formula]. Using physically reasonable ranges of the membrane bending modulus [kcy], and a [Formula] of [~]0.2-0.3 nm-1, this approach provides excellent agreement with the energetics extracted from experiment. For small vesicles with high curvature, the insertion lowers the membrane energy by relieving strain on a membrane that is far from its preferred curvature of zero. For larger vesicles with low curvature, however, the insertion has the inverse effect, de-stabilizing the membrane by introducing more strain. The membrane energy cannot be directly predicted analytically, due to shape changes from surface relaxation around the anisotropic insertion. We formulate here an empirical expression that captures numerically calculated membrane energies as a function of both basic membrane properties (bending modulus [kcy] and radius R) as well as stresses applied by the inserted helix ([Formula] and area Ains). We show that the shape relaxation energy has a similar magnitude to the insertion energy, with a strong nonlinear dependence on [Formula]. We therefore predict how these physical parameters will alter the energetics of helix binding to curved vesicles, which is an essential step in understanding their localization dynamics during membrane remodeling processes.

biophysics↗

bioRxiv2018

BAR scaffolds drive membrane fission by crowding disordered domains

Cylindrical protein scaffolds are thought to stabilize membrane tubules, preventing membrane fission. In contrast, Snead et al. find that when scaffold proteins assemble, bulky disordered domains within them become acutely concentrated, generating steric pressure that destabilizes tubules, driving fission.\n\nAbstractCellular membranes are continuously remodeled. The crescent-shaped bin-amphiphysinrvs (BAR) domains remodel membranes in multiple cellular pathways. Based on studies of BAR domains in isolation, the current paradigm is that they polymerize into cylindrical scaffolds that stabilize lipid tubules, preventing membrane fission. But in nature BAR domains are often part of multi-domain proteins that contain large intrinsically-disordered regions. Using in vitro and live cell assays, here we show that full-length BAR domain-containing proteins, rather than stabilizing membrane tubules, are instead surprisingly potent drivers of membrane fission. Specifically, when BAR scaffolds assemble at membrane surfaces, their bulky disordered domains become crowded, generating steric pressure that destabilizes lipid tubules. More broadly, we observe this behavior with BAR domains that have a range of curvatures. These data challenge the idea that cellular membranes adopt the curvature of BAR scaffolds, suggesting instead that the ability to concentrate disordered domains is the key requirement for membrane remodeling and fission by BAR domain-containing proteins.

biophysics↗