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Brannigan, G.

Publications and source records attributed to Brannigan, G..

12 recordsLinked to original sources

Anionic bacterial sphingolipids increase membrane stiffness

Recent genetic and bioinformatic studies have led to the discovery that many bacterial species encode the genes required to produce sphingolipids. Shotgun lipidomic studies have identified numerous sphingolipid species with novel structures that do not exist in eukaryotic organisms. The impacts of these lipids on the biophysical properties of bacterial membranes have not yet been determined. In this study, we purify a novel anionic bacterial sphingolipid, ceramide phosphoglycerate (CPG), and investigate its effect on membrane zeta potential and bending stiffness. CPG and its precursor, ceramide 1-phosphate (C1P), are shown to increase the magnitude of the membrane zeta potential. These sphingolipids also increase the stiffness of these membranes, with CPG increasing rigidity more than C1P or ceramide. This work provides experimental and computational methods of lipid isolation and characterization that may be broadly applicable to a variety of uncharacterized bacterial sphingolipids. SIGNIFICANCEThe diversity of bacterial sphingolipids far exceeds those found in eukaryotes. However, the function and biophysical properties of these lipids are unknown. Characterization of these lipids is a challenge as they are not commercially available. In this study, we developed experimental methods to purify the anionic sphingolipid ceramide phosphoglycerate and incorporate it into liposomes for analysis. Furthermore, we built computational tools to determine the bending stiffness of sphingolipid-containing vesicles from thermal fluctuation data.

biophysics↗

Characterization of an Open-Channel Structure and Lateral Conduction Pathway in the Cation-Selective Pentameric Ligand-Gated Ion Channel, ELIC

Open-channel structures of multiple pentameric ligand-gated ion channels (pLGIC) have been determined, including the prokaryotic model pLGIC, ELIC (Erwinia ligand-gated ion channel). For many of these structures, it remains uncertain whether they represent the physiologic open-channel state because the conditions used for structure determination do not match those of functional measurements in cell membranes. Here, molecular dynamics (MD) simulation is used to examine the ion conduction properties of the ELIC open-channel structure, which was determined using a non-desensitizing mutant called ELIC5. Results from simulations show that the pore remains stably open on the microsecond timescale, but computational electrophysiology measurements demonstrate a large outward rectification, and an inward conductance that is significantly lower than experiment. This discrepancy is attributed to a constricted extracellular domain (ECD), which restricts the passage of ions between the ECD vestibule and extracellular solution. Unbiased MD simulation of the ELIC5 structure demonstrates spontaneous widening of an intersubunit space in the ECD to expose a lateral fenestration which becomes the dominant ion conduction pathway. Computational electrophysiology of the ELIC5 MD-refined structures with a widened lateral fenestration shows better agreement with experimental single-channel recordings. Mutations of residues along the lateral ion conduction pathway show reduced single-channel conductance, supporting the importance of the lateral fenestration for ion conduction in a cation-selective pLGIC.

biophysics↗

Structural mechanism of lipid modulation of pentameric ligand-gated ion channel activity

Pentameric ligand-gated ion channels (pLGICs) are sensitive to the lipid environment. However, the structural mechanism of how specific lipids support the agonist response of any pLGIC is poorly understood. Using the model pLGIC, ELIC (Erwinia ligand-gated ion channel), we find that phosphatidylethanolamine (PE) or cardiolipin (CL) are sufficient to support activation of a non-desensitizing mutant called ELIC5. Cryo-EM structures of unliganded and agonist-bound ELIC5 in the absence of PE or CL show increased structural heterogeneity and destabilization of the resting and open-channel states. Importantly, the unliganded structure of ELIC5 in a phosphatidylcholine (PC)-only environment shows variability that resembles agonist-induced changes. The structures also reveal a CL binding site at an outer leaflet M3-M4 site. Together with functional measurements in asymmetric liposomes and coarse-grained molecular dynamics simulations, the data indicate that CL supports ELIC activity by binding to this M3-M4 site thereby stabilizing an agonist-responsive resting state of the channel.

biophysics↗

SARS-CoV E protein couples asymmetric leaflet thickness and curvature deformations

The Envelope protein (E protein) of SARS-CoVs 1 and 2 has been implicated in the viral budding process and maintaining the spherical shape of the virus, but direct evidence linking the protein to long-range membrane deformation is still lacking. Computational predictions from molecular simulation have offered conflicting results, some showing long-range E-induced membrane curvature and others showing only local deformations. In the present study, we determine the mechanism driving these deformations by modulating the degree of hydrophobic mismatch between protein and membrane. We observe that certain barostat and restraint settings, common in coarse-grained MD simulations, can prevent equilibration of the membrane area. Our results indicate that the E protein does not induce long-range curvature, but does exhibit severe local deformations that are exacerbated by hydrophobic mismatch. These deformations occur in conjunction with local leaflet thickness asymmetry, suggesting asymmetry and curvature couple to reduce the free energy cost of a deformed membrane. HighlightsO_LIE protein pentamers from SARS-CoV-1 and SARS-CoV-2 do not induce long-range curvature in membranes when simulated in isolation. C_LIO_LIPrevious findings documenting long-range membrane deformation may reflect the use of restraint and barostat settings that trap the membrane in a compressed state. C_LIO_LIE proteins induce large, asymmetric membrane deformations local to the protein, but these deformations do not propagate into the bulk. C_LIO_LIMembrane leaflet thickness asymmetry may be non-negligible around proteins that are not cylindrical. C_LIO_LIMembrane leaflet thickness asymmetry and mean curvature couple to alleviate free energy cost of deformation. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=136 SRC="FIGDIR/small/649534v2_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@196eec7org.highwire.dtl.DTLVardef@168b3borg.highwire.dtl.DTLVardef@eef5corg.highwire.dtl.DTLVardef@848526_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

The blobulator: a webtool for identification andvisual exploration of hydrophobic modularity inprotein sequences

While contiguous subsequences of hydrophobic residues are essential to protein structure and function, as in the hydrophobic core and transmembrane regions, there are no current bioinformatics tools for module identification focused on hydrophobicity. To fill this gap, we created the blobulator toolkit for detecting, visualizing, and characterizing hydrophobic modules in protein sequences. This toolkit uses our previously developed algorithm, blobulation, which was critical in both interpreting intra-protein contacts in a series of intrinsically disordered protein simulations [1] and defining the "local context" around disease-associated mutations across the human proteome [2]. The blobulator toolkit provides accessible, interactive, and scalable implementations of blobulation. These are available via a webtool, a VMD plugin, and a command line interface. We highlight use cases for visualization, interaction analysis, and modular annotation through three example applications: a globular protein, two orthologous membrane proteins, and an IDP. The blobulator webtool can be found at www.blobulator.branniganlab.org, and the source code with pip installable command line tool, as well as the VMD plugin with installation instructions, can be found on GitHub at www.GitHub.com/BranniganLab/blobulator.

bioinformatics↗

Propofol directly binds and inhibits skeletal muscle ryanodine receptor 1 (RyR1)

As the primary Ca2+ release channel in skeletal muscle sarcoplasmic reticulum (SR), mutations in the type 1 ryanodine receptor (RyR1) or its binding partners underlie a constellation of muscle disorders, including malignant hyperthermia (MH). In patients with MH mutations, exposure to triggering drugs such as the halogenated volatile anesthetics biases RyR1 to an open state, resulting in uncontrolled Ca2+ release, sarcomere tension and heat production. Restoration of Ca2+ into the SR also consumes ATP, generating a further untenable metabolic load. When anesthetizing patients with known MH mutations, the non-triggering intravenous general anesthetic propofol is commonly substituted for triggering anesthetics. Evidence of direct binding of anesthetic agents to RyR1 or its binding partners is scant, and the atomic-level interactions of propofol with RyR1 are entirely unknown. Here, we show that propofol decreases RyR1 opening in heavy SR vesicles and planar lipid bilayers, and that it inhibits activator-induced Ca2+ release from SR in human skeletal muscle. In addition to confirming direct binding, photoaffinity labeling using m-azipropofol (AziPm) revealed several putative propofol binding sites on RyR1. Prediction of binding affinity by molecular dynamics simulation suggests that propofol binds at least one of these sites at clinical concentrations. These findings invite the hypothesis that in addition to propofol not triggering MH, it may also be protective against MH by inhibiting induced Ca2+ flux through RyR1.

pharmacology and toxicology↗

Computing absolute binding affinities by Streamlined Alchemical Free Energy Perturbation

Free Energy Perturbation (FEP) is a powerful but challenging computational technique for estimating differences in free energy between two or more states. This document is intended both as a tutorial and as an adaptable protocol for computing free energies of binding using free energy perturbations in NAMD. We present the Streamlined Alchemical Free Energy Perturbation (SAFEP) framework. SAFEP shifts the computational frame of reference from the ligand to the binding site itself. This both simplifies the thermodynamic cycle and makes the approach more broadly applicable to superficial sites and other less common geometries. As a practical example, we give instructions for calculating the absolute binding free energy of phenol to lysozyme. We assume familiarity with standard procedures for setting up, running, and analyzing molecular dynamics simulations using NAMD and VMD. While simulation times will vary, the human tasks should take no more than 3 to 4 hours for a reader without previous training in free energy calculations or experience with the VMD Colvars Dashboard. Sample data are provided for all key calculations both for comparison and readers convenience.

biophysics↗

Lipid nanodisc scaffold and size alters the structure of a pentameric ligand-gated ion channel

Lipid nanodiscs have become the standard reconstitution system for structural and biochemical studies of membrane proteins, especially using single particle cryo-EM. We find that reconstitution of the pentameric ligand-gated ion channel (pLGIC), Erwinia ligand-gated ion channel (ELIC), in different nanodisc scaffolds (MSP1E3D1, SMA, saposin, spMSP1D1) produces distinct apo and agonist-bound structures. In the presence of agonist, different nanodiscs scaffolds produce concerted conformational changes associated with activation in ELIC, with larger nanodiscs showing more activated conformations. The effect of different nanodisc scaffolds on ELIC structure extends to the extracellular domain and agonist binding site. Molecular dynamic simulations of ELIC in small and large nanodiscs suggest that the impact of the nanodisc on ELIC structure is influenced by nanodisc size. Overall, the results indicate that the nanodisc profoundly affects the structure of a pLGIC, and suggest that larger circularized nanodiscs may be advantageous to approximate a lipid membrane environment.

biophysics↗

Structural mechanism of leaflet-specific phospholipid modulation of a pentameric ligand-gated ion channel

Pentameric ligand-gated ion channels (pLGICs) mediate synaptic transmission and are sensitive to their lipid environment. The mechanism of phospholipid modulation of any pLGIC is not well understood. We demonstrate that the model pLGIC, ELIC (Erwinia ligand-gated ion channel), is positively modulated by the anionic phospholipid, phosphatidylglycerol, from the outer leaflet of the membrane. To elucidate the mechanism of phosphatidylglycerol modulation, we determine a structure of ELIC in an open conformation. The structure shows a bound phospholipid in an outer leaflet site, and conformational changes in the phospholipid binding site unique to the open state. In combination with streamlined alchemical free energy perturbation calculations and functional measurements in asymmetric liposomes, the data support a mechanism by which an anionic phospholipid stabilizes the open state of a pLGIC by specific, state-dependent binding to this site.

biophysics↗

Polyunsaturated fatty acids inhibit a pentameric ligand-gated ion channel through one of two binding sites

Polyunsaturated fatty acids (PUFAs) inhibit pentameric ligand-gated ion channels (pLGICs) but the mechanism of inhibition is not well understood. The PUFA, docosahexaenoic acid (DHA), inhibits agonist responses of the pLGIC, ELIC, more effectively than palmitic acid, similar to the effects observed in the GABAA receptor and nicotinic acetylcholine receptor. Using photo-affinity labeling and coarse-grained molecular dynamics simulations, we identified two fatty acid binding sites in the outer transmembrane domain (TMD) of ELIC. Fatty acid binding to the photolabeled sites is selective for DHA over palmitic acid, and specific for an agonist-bound state. Hexadecyl-methanethiosulfonate modification of one of the two fatty acid binding sites in the outer TMD recapitulates the inhibitory effect of PUFAs in ELIC. The results demonstrate that DHA selectively binds to multiple sites in the outer TMD of ELIC, but that state-dependent binding to a single intrasubunit site mediates DHA inhibition of ELIC.

biochemistry↗

Direct Binding of Phosphatidylglycerol at Specific Sites Modulates Desensitization of a Pentameric Ligand-Gated Ion Channel

Pentameric ligand-gated ion channels (pLGICs) are essential determinants of synaptic transmission, and are modulated by specific lipids including anionic phospholipids. The exact modulatory effect of anionic phospholipids in pLGICs and the mechanism of this effect are not well understood. Using native mass spectrometry, coarse-grained molecular dynamics simulations and functional assays, we show that the anionic phospholipid, 1-palmitoyl-2-oleoyl-phosphatidylglycerol (POPG), preferentially binds to and stabilizes the pLGIC, Erwinia ligand-gated ion channel (ELIC), and decreases ELIC desensitization. Mutations of five arginines located in the interfacial regions of the transmembrane domain (TMD) reduce POPG binding, and a subset of these mutations increase ELIC desensitization. In contrast, the L240A mutant known to decrease ELIC desensitization, increases POPG binding. The results support a mechanism by which POPG stabilizes the open state of ELIC relative to the desensitized state by direct binding at specific sites.

biophysics↗

Competitive dewetting underlies site-specific binding of general anesthetics to GABA(A) receptors

GABA(A) receptors are pentameric ligand-gated ion channels playing a critical role in the modulation of neuronal excitability. These inhibitory receptors, gated by{gamma} -aminobutyric acid (GABA), can be potentiated and even directly activated by intravenous and inhalational anesthetics. Intersubunit cavities in the transmembrane domain have been consistently identified as putative binding sites by numerous experiment and simulation results. Synaptic GABA(A) receptors are predominantly found in a 2:2{beta}:1{gamma} stoichiometry, with four unique inter-subunit interfaces. Experimental and computational results have suggested a perplexing specificity, given that cavity-lining residues are highly conserved, and the functional effects of general anesthetics are only weakly sensitive to most mutations of cavity residues. Here we use Molecular Dynamics simulations and thermodynamically rigorous alchemical free energy perturbation (AFEP) techniques to calculate affinities of the intravenous anesthetic propofol and the inhaled anesthetic sevoflurane to all intersubunit sites in a heteromeric GABA(A) receptor. We find that the best predictor of general anesthetic affinity for the intersubunit cavity sites is water displacement: combinations of anesthetic and binding site that displace more water molecules have higher affinities than those that displace fewer. The amount of water displacement is, in turn, a function of size of the general anesthetic, successful competition of the general anesthetic with water for the few hydrogen bonding partners in the site, and inaccessibility of the site to lipid acyl chains. The latter explains the surprisingly low affinity of GAs for the{gamma} - intersubunit site, which is missing a bulky methionine residue at the cavity entrance and can be occupied by acyl chains in the unbound state. Simulations also identify sevoflurane binding sites in the {beta} subunit centers and in the pore, but predict that these are lower affinity than the intersubunit sites.\n\nSignificanceAfter over a century of research, it is established that general anesthetics interact directly with hydrophobic cavities in proteins. We still do not know why not all small hydrophobic molecules can act as general anesthetics, or why not all hydrophobic cavities bind these molecules. General anesthetics can even select among homologous sites on one critical target, the GABA(A) heteropentamer, although the origins of selectivity are unknown. Here we used rigorous free energy calculations to find that binding affinity correlates with the number of released water molecules, which in turn depends upon the lipid content of the cavity without bound anesthetic. Results suggest a mechanism that reconciles lipid-centered and protein-centered theories, and which can directly inform design of new anesthetics.

biophysics↗