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Biology subjects

Hougland, J. L.

Publications and source records attributed to Hougland, J. L..

3 recordsLinked to original sources

Single-Particle STORM Imaging Quantifies Coating Heterogeneity Among Cell Membrane-Coated Nanoparticles

Cell membrane-coated nanoparticles (CNPs) are a potentially transformative biomimetic targeted-delivery platform, which can engage therapeutic targets through source-cell membrane protein functions or homotypic interactions. However, their therapeutic development is limited by the current inability to accurately resolve membrane coating completeness, and CNP particle-to-particle variation. Here, we introduce a STochastic Optical Reconstruction Microscopy (STORM)-based approach that resolves population composition and quantifies membrane coating coverage at the single-particle level. Applying it to dendritic cell membrane- and HeLa cell membrane-coated nanoparticles (DCmPs and HeLamPs), we revealed substantial heterogeneity within both particle types and a cell-type dependence of coating outcomes, corroborated by confocal imaging and flow cytometry. We also quantified membrane protein composition, including peptide major histocompatibility complex class I (pMHC-I) among DCmPs, and confirmed that DCmPs preferentially engaged antigen-specific T cells in coculture. This single-particle framework establishes a quantitative standard for CNP characterization, providing a foundation for quality control and rational design.

bioengineering↗

A combined computational-biochemical approach offers an accelerated path to membrane protein solubilization

Membrane proteins are difficult to isolate and purify due to their dependence on the surrounding lipid membrane for structural stability. Detergents are often used to solubilize these proteins, with this approach requiring a careful balance between protein solubilization and denaturation. Determining which detergent is most appropriate for a given protein has largely been done empirically through screening, which requires large amounts of membrane protein and associated resources. Here we describe an alternative to conventional detergent screening using a computational modeling approach to identify the most likely candidate detergents for solubilizing a protein of interest. We demonstrate our approach using ghrelin O-acyltransferase (GOAT), a member of the membrane-bound O-acyltransferase (MBOAT) family of integral membrane enzymes that has not been solubilized or purified in active form. A computationally derived GOAT structural model provides the only structural information required for this approach. Using computational analysis of detergent ability to penetrate phospholipid bilayers and stabilize the GOAT structure, a panel of common detergents were rank ordered for their proposed ability to solubilize GOAT. Independently, we biologically screened these detergents for their solubilization of fluorescently tagged GOAT constructs. We found computational prediction of protein structural stabilization was the better predictor of detergent solubilization ability, but neither approach was effective for predicting detergents that would support GOAT enzymatic function. The current rapid expansion of membrane protein computational models lacking experimental structural information and our computational detergent screening approach can greatly improve the efficiency of membrane protein detergent solubilization supporting downstream functional and structural studies.

biochemistry↗

Molecular architecture of a membrane-spanning hormone acyltransferase required for metabolic regulation

Integral membrane proteins represent a large and essential portion of the proteome that often prove challenging for structural studies. We demonstrate a synergistic approach to structurally model topologically complex integral membrane proteins by combining co-evolutionary constraints and computational modeling with biochemical validation. We report the first structural model of a eukaryotic membrane-bound O-acyltransferase (MBOAT), ghrelin O-acyltransferase (GOAT), which modifies the metabolism-regulating hormone ghrelin. Our structure suggests an unanticipated strategy for trans-membrane protein acylation, with catalysis occurring in an internal channel as GOAT acts as an "enzyme inside a pore". Our structure opens the door to structure-guided inhibitor design targeting GOAT and other MBOAT family members while validating the power of our approach to generate predictive structural models for other experimentally challenging integral membrane proteins.

biochemistry↗