Biology subjects

Sansom, M. S. P.

Publications and source records attributed to Sansom, M. S. P..

11 recordsLinked to original sources

bioRxiv2023

Mapping Structural and Dynamic Divergence Across the MBOAT family

Membrane Bound O-acyltransferases (MBOATs) are membrane embedded enzymes which catalyse acyl chain transfer to a diverse group of substrates including lipids, small-molecules and proteins. Recent MBOAT structures reveal a conserved structural core, despite wide-ranging functional specificity across both prokaryotes and eukaryotes. The structural basis of catalytic specificity, regulation and interactions with the surrounding environment remain uncertain, hindering effective therapeutic targeting. Here, we combine comparative molecular dynamics (MD) simulations with bioinformatics to assess molecular and interactional divergence across the family. In simulations, MBOATs differentially distort the bilayer depending on their substrate type. Additionally, we identify specific lipid binding sites surrounding MBOAT reactant gates into the surrounding membrane. We use bioinformatics to reveal a conserved role for re-entrant loop-2 in stabilisation of the MBOAT fold and identify a key hydrogen bond involved in DGAT1 dimerisation. Finally, we predict differences in MBOAT core solvation and water gating properties across the family. These data are pertinent to the design of MBOAT specific inhibitors that encompass dynamic information within cellular mimetic environments.

biochemistry↗

bioRxiv2022

Molecular determinants of dynamic protein-protein interactions in the functional cycle of the membrane protein DsbD

Molecular recognition is of central importance in biology. The molecular determinants shaping recognition of one protein domain by another are incompletely understood, especially in the context of the complex function of molecular machines. Here, we combine NMR experiments and molecular dynamics simulations to elucidate the determinants of recognition of the C-terminal (cDsbD) domain of the transmembrane reductant conductor DsbD by its cognate partner, the N-terminal domain of the protein (nDsbD). As part of the natural cycle of this oxidoreductase, which effectively transfers electrons from the cytoplasm to the periplasm of Gram-negative bacteria, cDsbD and nDsbD toggle between oxidised and reduced states, something that modulates the affinity of the domains for each other and prevents otherwise unproductive reactions. We find that the redox state of cDsbD determines the dissociation rate of cDsbD-nDsbD complexes. Molecular dynamics simulations demonstrate how the redox-state of the active site determines the stability of inter-domain hydrogen bonds and thus the dissociation rate. AlphaFold modelling and atomistic molecular dynamics simulations of full-length DsbD in a realistic bacterial membrane again highlights the close proximity of the periplasmic domains and the importance of tuning the strength of the interactions of the periplasmic domains to enable electron transfer to cognate periplasmic partners such as CcmG. Our AlphaFold models are consistent with in vivo functional assays of DsbD mutants, which together help to reveal for the first-time a putative binding site for thioredoxin on the cytoplasmic side of DsbD.

biophysics↗

bioRxiv2022

Cardiolipin, and not monolysocardiolipin, preferentially binds to the interface of Complexes III and IV

The mitochondrial electron transport chain comprises a series of protein complexes embedded in the inner mitochondrial membrane that generate a proton motive force via oxidative phosphorylation, ultimately generating ATP. These protein complexes can oligomerize to form larger structures called supercomplexes. Cardiolipin (CL), a conical lipid, unique within eukaryotes to the inner mitochondrial membrane, has proven essential in maintaining the stability and function of supercomplexes. Monolysocardiolipin (MLCL) is a CL variant that accumulates in people with Barth syndrome (BTHS). BTHS is caused by defects in CL biosynthesis and characterised by abnormal mitochondrial bioenergetics and destabilised supercomplexes. However, the mechanisms by which MLCL causes pathogenesis remain unclear. Here, multiscale molecular dynamics characterise the interactions of CL and MLCL with yeast and mammalian mitochondrial supercomplexes containing Complex III (CIII) and Complex IV (CIV). Coarse-grained simulations reveal that both CL and MLCL bind to sites at the interface between CIII and CIV of the supercomplex. Free energy perturbation calculations show that MLCL interaction is weaker than that of CL and suggest that interaction with CIV drives this difference. Atomistic contact analyses show that, although interaction with CIII is similar for CL and MLCL, CIV makes more contacts with CL than MLCL, demonstrating that CL is a more successful "glue" between the two complexes. Simulations of the human CIII2CIV supercomplex show that this interface site is maintained between species. Our study suggests that MLCL accumulation in people with BTHS disrupts supercomplex stability by formation of relatively weak interactions at the interface lipid binding site.

biochemistry↗

bioRxiv2021

Structure and Mechanism of Hedgehog Acyl Transferase

The iconic Sonic Hedgehog (SHH) morphogen pathway is a fundamental orchestrator of embryonic development and stem cell maintenance, and is implicated in cancers in various organs. A key step in signalling is transfer of a palmitate group to the N-terminal cysteine residue of SHH, catalysed by the multi-pass transmembrane enzyme Hedgehog acyltransferase (HHAT) resident in the endoplasmic reticulum (ER). Here, we present the high-resolution cryo-EM structure of HHAT bound to substrate analogue palmityl-coenzyme A and a SHH mimetic megabody. Surprisingly, we identified a heme group bound to an HHAT cysteine residue and show that this modification is essential for HHAT structure and function. A structure of HHAT bound to potent small molecule inhibitor IMP-1575 revealed conformational changes in the active site which occlude substrate binding. Our multidisciplinary analysis provides a detailed view of the novel mechanism by which HHAT adapts the membrane environment to transfer a long chain fatty acid across the ER membrane from cytosolic acyl-CoA to a luminal protein substrate. This structure of a member of the protein-substrate membrane-bound O-acyltransferase (MBOAT) superfamily provides a blueprint for other protein substrate MBOATs, such as WNT morphogen acyltransferase Porcupine and ghrelin O-acyltransferase GOAT, and a template for future drug discovery.

biophysics↗

bioRxiv2021

Structural Insights into the Venus flytrap Mechanosensitive Ion Channel Flycatcher1

Flycatcher1 (FLYC1), a MscS homolog, has recently been identified as a candidate mechanosensitive (MS) ion channel involved in Venus flytrap prey recognition. FLYC1 is larger and its sequence diverges from previously studied MscS homologs, suggesting it has unique structural features that contribute to its function. Here, we characterized FLYC1 by cryo-electron microscopy, molecular dynamics simulations, and electrophysiology. Akin to bacterial MscS and plant MSL1 channels, we find that FLYC1 central core includes side portals in the cytoplasmic cage that regulate ion conduction, by identifying critical residues that modulate channel conductance. Topologically unique cytoplasmic flanking regions can adopt up or down conformations, making the channel asymmetric. Disruption of an up conformation-specific interaction severely delays channel deactivation by 40-fold likely due to stabilization of the channel open state. Our results illustrate novel structural features and likely conformational transitions that regulate mechano-gating of FLYC1.

biochemistry↗

bioRxiv2021

Relative Affinities of Protein-Cholesterol Interactions from Equilibrium Molecular Dynamics Simulations

Specific interactions of lipids with membrane proteins contribute to protein stability and function. Multiple lipid interactions surrounding a membrane protein are often identified in molecular dynamics (MD) simulations and are, increasingly, resolved in cryo-EM densities. Determining the relative importance of specific interaction sites is aided by determination of lipid binding affinities by experimental or simulation methods. Here, we develop a method for determining protein-lipid binding affinities from equilibrium coarse-grained MD simulations using binding saturation curves, designed to mimic experimental protocols. We apply this method to directly obtain affinities for cholesterol binding to multiple sites on a range of membrane proteins and compare our results with free energies obtained from density-based equilibrium methods and with potential of mean force calculations, getting good agreement with respect to the ranking of affinities for different sites. Thus, our binding saturation method provides a robust, high-throughput alternative for determining the relative consequence of individual sites seen in e.g. cryo-EM derived membrane protein structures surrounded by a plethora of ancillary lipid densities.

biophysics↗

bioRxiv2021

Identification and assessment of cardiolipin interactions with E. coli inner membrane proteins

Integral membrane proteins are localised and/or regulated by lipids present in the surrounding bilayer. Whilst bacteria such as E. coli have relatively simple membranes when compared to eukaryotic cells, there is ample evidence that many bacterial proteins bind to specific lipids, especially the anionic lipid cardiolipin. Here, we apply molecular dynamics simulations to assess lipid binding to 42 different E. coli inner membrane proteins. Our data reveals a strong asymmetry between the membrane leaflets, with a marked increase of anionic lipid binding to the inner leaflet regions of membrane proteins, particularly for cardiolipin. From our simulations we identify over 700 independent cardiolipin binding sites, allowing us to identify the molecular basis of a prototypical cardiolipin binding site, which we validate against structures of bacterial proteins bound to cardiolipin. This allows us to construct a set of metrics for defining a high affinity cardiolipin binding site on (bacterial) membrane proteins, paving the way for a heuristic approach to defining more complex protein-lipid interactions.

biochemistry↗

bioRxiv2021

Membrane-binding mechanism of the EEA1 FYVE domain revealed by multi-scale molecular dynamics simulations

Early Endosomal Antigen 1 (EEA1) is a key protein in endosomal trafficking and is implicated in both autoimmune and neurological diseases. The C-terminal FYVE domain of EEA1 binds endosomal membranes, which contain phosphatidylinositol-3-phosphate (PI(3)P). Although it is known that FYVE binds PI(3)P specifically, it has not previously been described of how FYVE attaches and binds to endosomal membranes. In this study, we employed both coarse-grained (CG) and atomistic (AT) molecular dynamics (MD) simulations to determine how FYVE binds to PI(3)P-containing membranes. CG-MD showed that the dominant membrane binding mode resembles the crystal structure of EEA1 FYVE domain in complex with inositol-1,3-diphospate (PDB ID 1JOC). FYVE, which is a homodimer, binds the membrane via a hinge mechanism, where the C-terminus of one monomer first attaches to the membrane, followed by the C-terminus of the other monomer. The total binding energy is 70 kJ/mol, of which 50-60 kJ/mol stems from specific PI(3)P-interactions. By AT-MD, we could partition the binding mode into two types: (i) adhesion by electrostatic FYVE-PI(3)P interaction, and (ii) insertion of amphipathic loops. The AT simulations also demonstrated flexibility within the FYVE homodimer between the C-terminal heads and coiled-coil stem, allowing binding via a mechanism resembling that of a suction cup connected to a locally rigid stem via a flexible hinge.

biophysics↗

bioRxiv2019

Structures of the Otopetrin Proton Channels Otop1 and Otop3

Otopetrins (Otop1-Otop3) comprise one of only two known eukaryotic proton-selective channel families. Otop1 is required for formation of otoconia and is a candidate mammalian sour taste receptor. Here, we report cryo-EM structures of zebrafish Otop1 and chicken Otop3 in lipid nanodiscs. The structures reveal a dimeric architecture of Otopetrins with each subunit consisting of twelve transmembrane helices divided into structurally related N and C domains. Cholesterol-like molecules occupy various sites in Otop1 and Otop3 and occlude a cavernous central tunnel. Two hydrophilic vestibules, as well as the intrasubunit interface between N and C domains, form conduits for water entry into the membrane plane in molecular dynamics simulations, suggesting they each could provide pathways for proton conduction. We also demonstrate the functional relevance of a salt bridge in the C domain vestibule by mutagenesis. Our results provide a structural basis for understanding the function of the Otopetrin proton channel family.

biochemistry↗

bioRxiv2018

Identification of Hydrophobic Gates by Simulation-Enabled Analysis of the Ion Channel Structural Proteome

Ion channel proteins control ionic flux across biological membranes through conformational changes in their transmembrane pores. An exponentially increasing number of channel structures captured in different conformational states are now being determined. However, these newly-resolved structures are commonly classified as either open or closed based solely on the physical dimensions of their pore and it is now known that more accurate annotation of their conductive state requires an additional assessment of the effect of pore hydrophobicity. A narrow hydrophobic gate region may disfavour liquid-phase water, leading to local de-wetting which will form an energetic barrier to water and ion permeation without steric occlusion of the pore. Here we quantify the combined influence of radius and hydrophobicity on pore de-wetting by applying molecular dynamics simulations and machine learning to nearly 200 ion channel structures. This allows us to propose a simple simulation-free heuristic model that rapidly and accurately predicts the presence of hydrophobic gates. This not only enables the functional annotation of new channel structures as soon as they are determined, but may also facilitate the design of novel nanopores controlled by hydrophobic gates. Significance statementIon channels are nanoscale protein pores in cell membranes. An exponentially increasing number of structures for channels means that computational methods for predicting their functional state are needed. Hydrophobic gates in ion channels result in local de-wetting of pores which functionally closes them to water and ion permeation. We use simulations of water behaviour within nearly 200 different ion channel structures to explore how the radius and hydrophobicity of pores determine their hydration vs. de-wetting behaviour. Machine learning-assisted analysis of these simulations enables us to propose a simple model for this relationship. This allows us to present an easy method for the rapid prediction of the functional state of new channel structures as they emerge.

biophysics↗

bioRxiv2018

Cryo-EM structure of the mechanically activated ion channel OSCA1.2

Introduction Introduction Main Author Contributions Expression constructs Protein expression and... Cryo-EM sample preparation and... Cryo-EM image processing Model building and refinement Molecular dynamics simulations Generation of mutant, cell... Electrophysiology Methods Data availability References Methods References Mechanically activated (MA) ion channels underlie touch, hearing, shear-stress sensing, and response to turgor pressure1,2. Previously reported as putative ion channels sensitive to osmolality3-5, members of ...

biophysics↗