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Tran, B. N.

Publications and source records attributed to Tran, B. N..

3 recordsLinked to original sources

Small molecule ensembles reshape amyloid aggregation landscapes

Proteins in living systems are highly dynamic, continuously populating heterogeneous ensembles of functionally distinct conformational and aggregation states whose relative populations and interconversion rates are governed by an underlying free-energy landscape. Perturbations such as ligand binding, chemical modification, or changes in the environment remodel these assemblies, thereby reshaping protein behavior and function. Understanding how such protein networks are dynamically remodeled is a fundamental challenge in biophysics. Here, we utilize the A{beta}42 aggregation landscape as a model to demonstrate that remodeling can occur without detectable changes in the apparent activation free-energy barrier, instead arising from system-level redistribution of species along a conserved kinetic pathway. Using EPPS (4-(2-Hydroxyethyl)-1-piperazinepropanesulfonic acid) as a model modulator, temperature-dependent kinetic analysis reveals an invariant apparent activation free energy, suggesting that the underlying energetic framework remains unchanged even as the system is reshaped. We find that EPPS modulates A{beta}42 disaggregation in a concentration-dependent manner. At intermediate concentrations, enhanced redistribution toward soluble species is observed, whereas at higher concentrations, modulator self-association into supramolecular clusters is associated with reduced net disaggregation and partial recovery of aggregation signatures. Thermal disruption of these assemblies restores activity, consistent with a role of modulator self-association in governing the observed behavior. Furthermore, our experiments indicate that this disaggregation process is reduced in crowded environments compared to dilute conditions. Together, these results support a biophysical framework in which amyloid remodeling is driven by species redistribution along a conserved kinetic landscape, where the extent of disaggregation is determined by modulator concentration-dependent partitioning of protein species, modulator self-association, and environmental constraints. SignificanceAn emerging view of protein function recognizes that proteins exist as dynamic networks of interconverting conformational and aggregation states. Binding interactions and environmental perturbations remodel these networks, thereby altering protein behavior. Amyloid aggregates associated with Alzheimers disease exemplify such dynamic systems, yet how small molecules remodel them remains poorly understood. Using A{beta}42 as a model, we show that small molecules remodel amyloid networks by redistributing protein populations in a concentration-dependent manner. This redistribution is modulated by self-association of the small molecule, molecular crowding, and temperature. These findings establish population redistribution within dynamic amyloid networks as a mechanism for remodeling protein assemblies, offering new insights into controlling pathological aggregation.

molecular biology↗

Receptor binding and tissue architecture explain the morphogen local-to-global mobility transition

Morphogens are intercellular signaling molecules providing spatial information to cells in developing tissues to coordinate cell fate decisions. The spatial information is encoded within long-ranged concentration gradients of the morphogen. Direct measurement of morphogen dynamics in a range of systems suggests that local and global diffusion coefficients can differ by orders of magnitude. Further, local diffusivity can be large, which would potentially abolish any concentration gradient rapidly. Such observations have led to alternative transport models being proposed, including transcytosis and cytonemes. Here, we show that accounting for tissue architecture combined with receptor binding is sufficient to hinder the diffusive dynamics of morphogens, leading to an order of magnitude decrease in the effective diffusion coefficient from local to global scales. In particular, we built a realistic in silico architecture of the extracellular spaces of the zebrafish brain using light and electron microscopy data. Simulations on realistic architectures demonstrate that tortuosity and receptor binding within these spaces are sufficient to reproduce experimentally measured morphogen dynamics. Importantly, this work demonstrates that hindered diffusion is a viable mechanism for gradient formation, without requiring additional regulatory control. SIGNIFICANCEMeasurements of morphogen diffusivity vary significantly depending on experimental approach. Such differences have been used to argue against diffusion as a viable mechanism of morphogen gradient formation. Here, we demonstrate that accounting for the local tissue architecture in concert with including receptor binding is sufficient to explain a range of biological observations. This demonstrates that (hindered) diffusion-driven transport is a viable mechanism of gradient formation.

biophysics↗

The SARS-CoV-2 cytopathic effect is blocked with autophagy modulators

SARS-CoV-2 is a new type of coronavirus capable of rapid transmission and causing severe clinical symptoms; much of which has unknown biological etiology. It has prompted researchers to rapidly mobilize their efforts towards identifying and developing anti-viral therapeutics and vaccines. Discovering and understanding the virus’ pathways of infection, host-protein interactions, and cytopathic effects will greatly aid in the design of new therapeutics to treat COVID-19. While it is known that chloroquine and hydroxychloroquine, extensively explored as clinical agents for COVID-19, have multiple cellular effects including inhibiting autophagy, there are also dose-limiting toxicities in patients that make clearly establishing their potential mechanisms-of-action problematic. Therefore, we evaluated a range of other autophagy modulators to identify an alternative autophagy-based drug repurposing opportunity. In this work, we found that 6 of these compounds blocked the cytopathic effect of SARS-CoV-2 in Vero-E6 cells with EC50 values ranging from 2.0 to 13 µM and selectivity indices ranging from 1.5 to >10-fold. Immunofluorescence staining for LC3B and LysoTracker dye staining assays in several cell lines indicated their potency and efficacy for inhibiting autophagy correlated with the measurements in the SARS-CoV-2 cytopathic effect assay. Our data suggest that autophagy pathways could be targeted to combat SARS-CoV-2 infections and become an important component of drug combination therapies to improve the treatment outcomes for COVID-19.One Sentence Summary Blocking SARS-CoV-2 cytopathic effects with selective autophagy inhibitors underlying the clinical benefits of chloroquine and hydroxychloroquine.Competing Interest StatementThe authors have declared no competing interest.View Full Text

pharmacology and toxicology↗