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Biology subjects

Huzar, J.

Publications and source records attributed to Huzar, J..

3 recordsLinked to original sources

Overcoming steric inhibition of antibody-dependent phagocytosiswith tall adhesions

Macrophages recognize and phagocytose opsonized target cells, including those coated with IgG antibodies. This process relies on binding of IgG to Fc{gamma} receptors (Fc{gamma}R) expressed on the macrophage surface, resulting in formation of a phagocytic synapse. Since the surface of both macrophages and target cells are densely packed with macromolecules of diverse sizes, most of which are not directly involved in phagocytic signaling, it is possible for tall bystander proteins to sterically interfere with Fc{gamma}R engagement. Here, we use cell-like target particles to show that bystander proteins can inhibit phagocytosis by blocking synapse formation. We then demonstrate that adding a tall binding protein to the target particle can overcome inhibition by the crowded environment and substantially recover phagocytosis, a process we call kinetic enhancement. Using a cell-free system of giant unilamellar vesicles and synthetic binders, we demonstrate that kinetic enhancement is a tunable feature of interface formation that can determine whether short binders engage, and we present theory and computer simulations to explain the nonmonotonic dependence of phagocytosis on tall binding protein surface density. These findings point to a strategy for overcoming surface crowding on phagocytic targets by re-engineering transition states with tall adhesion proteins, one that could be used to promote short receptor binding at other cell-cell junctions. Significance StatementMacrophages contribute to our immune defenses by phagocytosing pathogens and diseased cells. To accomplish this, they must first establish close contacts between receptors on their membranes and antibodies or other ligands decorating target cells. However, macrophage binding to the target can be disrupted by the presence of tall neighboring proteins and glycans-- bystander molecules--that sterically prevent the two surfaces from coming into close contact. Counterintuitively, this inhibition can be overcome by the addition of even taller binding proteins between the macrophage and target cell, albeit at low concentrations. Using live cell and in vitro experiments, theory, and computer simulations, we show that tall binders can promote close contact that enables phagocytosis, even in the presence of bystander proteins that would normally block close contact.

biophysics↗

Uncovering Design and Assembly Rules for mRNA-DNA Origami

mRNA-DNA hybrid origami offers a powerful route to combine the structural programmability of DNA origami with the biological functionality of messenger RNA, but generalizable design and assembly rules for these hybrids remain poorly defined. Here we systematically investigate the design principles and synthesis conditions that govern high-yield formation of mRNA-DNA hybrid nanostructures. Using mature mRNAs encoding firefly luciferase, EGFP, and mCherry as scaffolds, we construct a series of five hybrid compact origamis with diverse sizes, shapes, crossover strategies, and packing densities. We identify key parameters that control folding fidelity, including asymmetric A-form crossovers, monovalent-cation concentrations, and moderate-temperature annealing protocols, which together mitigate RNA instability, reduce kinetic traps, and accommodate RNA-DNA helical geometry. Atomic force microscopy reveals monodisperse, well-folded structures consistent with design expectations across most architectures and confirms that optimized conditions produce nanoscale precision comparable to DNA origami. Our findings establish generalizable design rules and a standard synthesis protocol for mRNA-DNA hybrid origami, providing a framework for their use in gene delivery and other RNA-based nanotechnologies.

bioengineering↗

AI-based Prediction of Protein Corona Composition on DNA Nanostructures

DNA nanotechnology has emerged as a powerful approach to engineering biophysical tools, therapeutics, and diagnostics because it enables the construction of designer nanoscale structures with high programmability. Based on DNA base pairing rules, nanostructure size, shape, surface functionality, and structural reconfiguration can be programmed with a degree of spatial, temporal, and energetic precision that is difficult to achieve with other methods. However, the properties and structure of DNA constructs are greatly altered in vivo due to spontaneous protein adsorption from biofluids. These adsorbed proteins, referred to as the protein corona, remain challenging to control or predict, and subsequently, their functionality and fate in vivo are difficult to engineer. To address these challenges, we prepared a library of diverse DNA nanostructures and investigated the relationship between their design features and the composition of their protein corona. We identified protein characteristics important for their adsorption to DNA nanostructures and developed a machine-learning model that predicts which proteins will be enriched on a DNA nanostructure based on the DNA structures design features and protein properties. Our work will help to understand and program the function of DNA nanostructures in vivo for biophysical and biomedical applications.

bioengineering↗