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Wysocki, V. H.

Publications and source records attributed to Wysocki, V. H..

At least 19 recordsLinked to original sources

Native Mass Spectrometry Reveals Distinct Effects of Linker Length and Targeting-Ligand Identity on PROTAC Ternary Complexes

Proteolysis-targeting chimeras (PROTACs) promote targeted protein degradation by inducing a transient ternary complex between a protein of interest and an E3 ubiquitin ligase. Despite the clinical promise of these event-driven therapeutics, defining the conformational landscape and interfacial organization of these complexes remains challenging. Here, we use an integrated native mass spectrometry (nMS) approach combining ion mobility, surface-induced dissociation (SID), and variable-temperature electrospray ionization (vT-ESI) to determine how small-molecule architecture shapes the structural and thermodynamic landscapes of bromodomain-containing protein 4 (BRD4) with the VCB E3 ligase complex. Using a set of PROTACs that differ in targeting ligand identity (JQ1 versus I-BET726) and PEG linker length, ion mobility measurements show that shorter linkers constrain the ternary complex into more extended topologies, whereas longer, more flexible linkers allow dynamic sampling of relaxed, native-like conformations. SID directly probes noncovalent interfaces and shows that JQ1 complexes favor prompt PROTAC ejection, whereas tighter-binding I-BET726 complexes are more likely to retain the PROTAC at the interface. Complementing these kinetically-controlled gas-phase measurements, vT-ESI reveals a monophasic melting transition for a JQ1-mediated complex and a distinct biphasic melting profile for an I-BET726-mediated complex. The gas-phase activation measurements revealed targeting-ligand-driven differences in PROTAC ejection and retention, whereas vT-ESI uncovered distinct temperature-dependent disassembly pathways for the matched-linker-length JQ10L and IBET10L complexes. Together, these complementary techniques show how PROTAC architecture influences ternary-complex conformation, interfacial connectivity, and disassembly.

biochemistry↗

Elucidating the half-site reactivity mechanism of Salmonella enterica FraB deglycase using native mass spectrometry

Inter-subunit communication and allosteric regulation are central to the function of oligomeric enzymes, yet these features remain difficult to characterize. Conventional kinetic and structural methods typically yield ensemble averages or static snapshots, thus making it difficult to uncover the dynamic cross-subunit cooperation obligatory for multi-site catalysis by oligomeric enzymes. Here, we investigate Salmonella FraB--a homodimeric deglycase and a potential drug target--to showcase the value of an integrated approach combining native mass spectrometry (nMS), surface-induced dissociation (SID), and kinetic studies to gain insights into catalytic intermediates and inter-subunit communication. By resolving substrate-, product-, and mixed-occupancy species, nMS revealed that both inter-subunit active sites in FraB bind substrate even though only one catalytic center generates the product at any given time. To characterize each active site independently, we designed heterodimers with a mutation that changes the general base or acid in only one active site. Kinetic studies with these mutants indicate that although the two active sites are likely coupled, they do not concomitantly perform cleavage. Consistent with the conformational asymmetry observed in apo-FraB crystal structures, our findings establish a half-site reactivity mechanism in which post-binding conformational changes across the dimer interface restrict substrate cleavage to one active site even though both protomers are able to bind substrate. Importantly, this nMS-based workflow offers a broadly applicable framework for resolving the catalytic states and inter-site communication of oligomeric enzymes that are otherwise difficult to uncover by conventional structural methods.

biochemistry↗

Psi RNA-specific Binding Promotes HIV-1 Gag Conformational Change Critical for Immature Viral Particle Assembly

The immature HIV-1 virion is assembled by the Gag polyprotein using inositol hexakisphosphate (IP6) as an essential assembly co-factor. Gag binds the genomic RNA Psi packaging signal via the nucleocapsid (NC) domain and associates with the plasma membrane via the matrix (MA) domain. Previous studies revealed that Gag exists in both compact (C) and extended (E) conformational states in solution. Only E-Gag formed virus-like particles with the correct size and IP6 shifted the equilibrium of DNA-bound Gag to the E state. The influence of specific RNA elements on this conformational change is unknown. In this work, a dual dye-labeled Gag was prepared for probing the effect of RNA binding on Gag conformation using Forster resonance energy transfer (FRET). In low salt and in the absence of other factors, Gag was primarily in the C state. Psi RNA binding induced a more significant FRET decrease than binding to non-Psi RNAs, consistent with a shift to E-Gag. IP6 alone also promoted the E-Gag state in the absence and presence of RNA. Atomistic molecular dynamics simulations are consistent with and provide detail into the role of NC-Psi RNA binding in the conformational switch of C-Gag to assembly-competent E-Gag. Simulations also showed that this switch is driven by capsid (CA) linker domain orientational flexibility and MA-CA unbinding dynamics. Thus, the highly flexible multi-domain Gag polyprotein leverages both viral and host cell factors to sample and stabilize distinct conformations, thereby orchestrating the viral assembly process.

biophysics↗

Incorporating Surfaced-Induced Dissociation Mass Spectrometry Data into an AlphaFold-derived deep learning network improves protein structure prediction

Surface-Induced Dissociation native Mass Spectrometry (SID-nMS) is a tandem MS activation method that yields information on the connectivity and stoichiometry of protein complexes. While insufficient for direct structure elucidation, the data derived from SID-nMS has considerable potential to inform multimeric protein structure prediction. We hypothesized that incorporating this data into a machine-learning framework could improve multimer prediction accuracy beyond that of existing deep-learning methods. To this end, we developed SIDFold, a novel AlphaFold-based deep-learning network. SIDFold is the first AlphaFold-like network to leverage experimental data during protein complex prediction, and the first deep-learning network to utilize nMS data for structure prediction. We benchmarked SIDFold on the BETA protein set, and observed an improvement in RMSD in 138 of 227 cases including 27 targets in which the predicted structure attained near-native accuracy. We then evaluated the network on 20 proteins with experimental SID-nMS data, yielding an improved RMSD in 18 cases, with five of these cases improving to a high-accuracy complex. Finally, we tested SIDFold against a previously published SID-guided Rosetta docking method, where we saw improvement in 13 of 16 proteins. SIDFold is freely available on GitHub, with example files and commands available in the Supplementary Information.

biochemistry↗

Damaging the conical morphology of HIV-1 capsid by targeting the FG-binding pocket and disfavoring pentameric subunits needed for core closure

The HIV-1 capsid is an essential viral component, targeted by the long-acting antiretroviral Lenacapavir (LEN). LEN binds to the HIV-1 capsid protein (CA) at the phenylalanine-glycine (FG) binding pocket (FGBP), a site for multiple host-factor and antiviral interactions in CA hexamers (CAHEX). Previously, we generated a chemical library to investigate the FGBP; ZW-1261, a lead compound, exhibits potent antiviral activity and strong inter-subunit interactions within CAHEX. Here, we report the molecular mechanism by which ZW-1261 affects the morphology and integrity of capsid lattice. ZW-1261 alone rapidly induces tubular CA assemblies; simultaneous addition of ZW-1261 with the assembly cofactor inositol hexaphosphate (IP6) forms morphologically distinct tubes. In mature virions, IP6 is required for the assembly of both CAHEX and CA pentamers (CAPENT). Cryogenic-electron microscopy analysis of in vitro assembled capsid-like particles (CLPs) with IP6 suggests that ZW-1261 leads to the absence of CAPENT and damages the pre-formed conical lattice. To elucidate how this FGBP-targeting antiviral impacts CAPENT, we further solved structures of CAPENT-only icosahedral assemblies (T = 1), formed by reported mutations, that were treated with ZW-1261. We find that ZW-1261 binding in these constrained T = 1 assemblies converts CAPENT to a CAHEX-like conformation. Collectively, this suggests a mechanism by which addition of FGBP-binding inhibitor to native cores leads to the absence of CAPENT, impacting capsid closure and core integrity.

molecular biology↗

Ion Mobility Mass Spectrometry Guided Modeling with AlphaFold and Rosetta Improves Protein Complex Structure Prediction

Ion mobility mass spectrometry (IM-MS) provides valuable structural information about protein shape and size through collision cross section (CCS). However, it lacks atomic level structural detail. While AlphaFold has been successful in predicting monomeric protein structure, it can struggle with modeling protein complexes. To address these limitations, we developed a method that integrates IM-MS data with AlphaFold and Rosetta to improve complex structure prediction. Our approach uses experimental CCS data to guide the assembly of AlphaFold predicted subunits using a Rosetta docking pipeline and evaluating the resulting complexes with a newly developed score. Using this strategy, we were able to improve root mean square deviation (RMSD) values for 26 of 38 (68%) complexes compared to AlphaFold-Multimer. Furthermore, 16 of these systems improved significantly from greater than 4 [A] RMSD to less than 4 [A]. This method demonstrates a robust approach to overcome limitations in complex assembly modeling. Table of Contents Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=182 SRC="FIGDIR/small/706193v1_ufig1.gif" ALT="Figure 1"> View larger version (68K): org.highwire.dtl.DTLVardef@cf71c3org.highwire.dtl.DTLVardef@135e09aorg.highwire.dtl.DTLVardef@2cc2fcorg.highwire.dtl.DTLVardef@b53feb_HPS_FORMAT_FIGEXP M_FIG In this integrative modeling work, protein complex structures were modeled by combining AlphaFold predicted subunits with Rosetta docking. Collision cross section data from ion-mobility mass spectrometry were used as evaluation constraints and docked models were scored using the IM-complex score. The best scoring models generally represent accurate protein complex structures. C_FIG

biophysics↗

Mechanism of single-strand annealing from native mass spectrometry and cryo-EM structures of RAD52 homolog Mgm101

RAD52, the primary single-strand annealing (SSA) protein in humans, forms undecameric rings that bind ssDNA within a narrow, positively-charged groove. Whether RAD52 anneals two complementary ssDNAs on the same ring in cis, or between two ring-ssDNA complexes in trans, is unknown. Here, we determined cryo-EM structures of Mgm101, a RAD52 homolog from yeast mitochondria, in complexes with ssDNA, a duplex intermediate of annealing, and B-form dsDNA product. In all states, Mgm101 forms a closed nonadecameric ring that binds the backbone of the first ssDNA at the base of the narrow groove. The second complementary strand binds directly on top of the first to form an extended, unwound, and circular duplex intermediate of annealing. The third complex captures apparent B-form DNA product bound to a novel {beta}-hairpin motif located on top of the Mgm101 ring, above the primary DNA-binding groove. Mass photometry and native mass spectrometry confirm and further elucidate the complexes formed in solution. Altogether, our data reveal the full SSA pathway of Mgm101 and suggest it anneals two complementary ssDNAs on the same ring in cis. Structural conservation with RAD52 suggests it is likely to use a similar cis mechanism of annealing.

biochemistry↗

Simultaneous ligand binding to intact and partially formed ATP binding sites in the hexameric termination factor Rho

Thermodynamic coupling between ligand binding sites affords macromolecular machines a means to coordinate processive function. Because these machines may be compositionally complex, quantifying and interpreting ligand binding events can be experimentally difficult. Biophysical methods that convolve binding events into a one-dimensional metric, which suffice for monomeric macromolecules that bind to a single ligand, are insufficient to adequately describe the complexity of binding to oligomeric systems. Confounding factors include structural heterogeneity that may invalidate basic assumptions used to interpret the measurements. In this communication, we use native mass spectrometry to measure ATP binding to a hexameric helicase, the E. coli termination factor Rho. Providing new insights into classical and more recent biochemical experiments, we observe and quantify ATP binding to hexameric and lower-order complexes. Moreover, we observe super-stoichiometric binding consistent with ATP binding to partially formed binding sites at the edges of the open washer structure. Such detailed insights are likely critical to understanding the mechanisms by which a broad range of macromolecular machines harness the free energy from ligand binding, hydrolysis, and exchange to coordinate their ligand-dependent functions.

biophysics↗

Setdb1 and Atf7IP form a hetero-trimeric complex that blocks Setdb1 nuclear export

AbstractHistone H3K9 methylation (H3K9me) by Setdb1 silences retrotransposons (rTE) by sequestering them in constitutive heterochromatin. Atf7IP is a constitutive binding partner of Setdb1 and is responsible for Setdb1 nuclear localization, activation and chromatin recruitment. However, structural details of the Setdb1/Atf7IP interaction have not been evaluated. We used Alphafold2 predictions and biochemical reconstitutions to show that one copy of Setdb1 and two copies of Atf7IP form a hetero-trimeric complex in vitro and in cells. We also find that Atf7IP self-associates, forming multimeric complexes that are resolved upon Setdb1 binding. Setdb1 binds to Atf7IP through coiled coil interactions that include both Setdb1 nuclear export signals (NES). Atf7IP directly competes with CRM1 to bind the Setdb1 NES motifs, explaining how Atf7IP prevents CRM1-mediated nuclear export of Setdb1. Setdb1 also forms hetero-trimeric complexes with the Atf7IP paralog Atf7IP2 and we show that Setdb1 can form mixed heterotrimers comprising one copy of each Setdb1, Atf7IP and Atf7IP2. Atf7IP and Atf7IP2 are co-expressed in many tissues suggesting that heterotrimers with different compositions of Atf7IP and Atf7IP2 may differentially regulate H3K9me by fine-tuning Setdb1 localization and activity.

biochemistry↗

Topological rearrangements activate the HerA-DUF anti-phage defense system

Leveraging the rich structural information provided by AlphaFold, we used integrated experimental approaches to characterize the HerA-DUF4297 (DUF) anti-phage defense system, in which DUF is of unknown function. To infer the function of DUF, we performed structure-guided genomic analysis and found that DUF homologs are universally present in bacterial immune defense systems. One notable homolog of DUF is Cap4, a universal effector with nuclease activity in CBASS, the most prevalent anti-phage system in bacteria. To test the inferred nuclease function of DUF, we performed biochemical experiments and discovered that the DUF only exhibits activity against DNA substrates when it is bound by HerA. To understand how HerA activates DUF, we determined the structures of DUF and the HerA-DUF complex. DUF forms large oligomeric assemblies with or without HerA, suggesting that oligomerization per se is not sufficient for DUF activation. Instead, DUF activation requires dramatic topological rearrangements that propagate from HerA to the entire HerA-DUF complex, leading to reorganization of DUF for effective DNA cleavage. We further validated these structural insights by structure- guided mutagenesis. Together, these findings reveal dramatic topological rearrangements throughout the HerA-DUF complex, challenge the long-standing dogma that protein oligomerization alone activates immune signaling, and may inform the activation mechanism of CBASS.

biochemistry↗

Structural basis of nearest-neighbor cooperativity in the ring-shaped gene regulatory protein TRAP from protein engineering and cryo-EM

Homotropic cooperativity is widespread in biological regulation. The homo-oligomeric ring-shaped trp RNA binding attenuation protein (TRAP) from bacillus binds multiple tryptophan ligands (Trp) and becomes activated to bind a specific sequence in the 5 leader region of the trp operon mRNA. Ligand-activated binding to this specific RNA sequence regulates downstream biosynthesis of Trp in a feedback loop. Characterized TRAP variants form 11- or 12-mer rings and bind Trp at the interface between adjacent subunits. Various studies have shown that a pair of loops that gate each Trp binding site is flexible in the absence of the ligand and become ordered upon ligand binding. Thermodynamic measurements of Trp binding have revealed a range of cooperative behavior for different TRAP variants, even if the averaged apparent affinities for Trp have been found to be similar. Proximity between the ligand binding sites, and the ligand-coupled disorder-to-order transition has implicated nearest-neighbor interactions in cooperativity. To establish a solid basis for describing nearest-neighbor cooperativity we engineered dodecameric (12-mer) TRAP variants constructed with two subunits connected by a flexible linker (dTRAP). We mutated one of the protomers such that only every other site was competent for Trp binding. Thermodynamic and structural studies using native mass spectrometry, NMR spectroscopy, and cryo-EM provided unprecedented detail into the thermodynamic and structural basis for the observed ligand binding cooperativity. Such insights can be useful for understanding allosteric control networks and for the development of new ones with defined ligand sensitivity and regulatory control. SignificanceHomo-oligomeric proteins are ubiquitous in biology, and their function is often regulated by activator ligands that bind cooperatively, via poorly understood mechanisms. TRAP is a bacterial protein responsible for sensing changes in cellular tryptophan concentration, and for downregulating its production when levels are elevated. By fusing two subunits via a flexible linker, we assembled protein rings in which every other of its twelve ligand binding sites is incapable of binding. We used calorimetry and native mass spectrometry to measure ligand binding and found that these nearest-neighbor interactions are essential for cooperative ligand binding. Cryo-EM of these engineered proteins provided the means to observe the structure-thermodynamic linkage essential for understanding ligand binding cooperativity.

biophysics↗

Native proteomics by capillary zone electrophoresis-mass spectrometry

Native proteomics measures endogenous proteoforms and protein complexes under a near physiological condition using native mass spectrometry (nMS) coupled with liquid-phase separations. Native proteomics should provide the most accurate birds-eye view of proteome dynamics within cells, which is fundamental for understanding almost all biological processes. nMS has been widely employed to characterize well-purified protein complexes. However, there are only very few trials of utilizing nMS to measure proteoforms and protein complexes in a complex sample (i.e., a whole cell lysate). Here, we pioneer the native proteomics measurement of large proteoforms or protein complexes up to 400 kDa from a complex proteome via online coupling of native capillary zone electrophoresis (nCZE) to an ultra-high mass range (UHMR) Orbitrap mass spectrometer. The nCZE-MS technique enabled the measurement of a 115-kDa standard protein complex while consuming only about 0.1 ng of protein material. nCZE-MS analysis of an E.coli cell lysate detected 72 proteoforms or protein complexes in a mass range of 30-400 kDa in a single run while consuming only 50-ng protein material. The mass distribution of detected proteoforms or protein complexes agreed well with that from mass photometry measurement. This work represents a technical breakthrough in native proteomics for measuring complex proteomes.

systems biology↗

Protein complex heterogeneity and topology revealed by electron capture charge reduction and surface induced dissociation

We illustrate the utility of native mass spectrometry (nMS) combined with a fast, tunable gas-phase charge reduction, electron capture charge reduction (ECCR), for the characterization of protein complex topology and glycoprotein heterogeneity. ECCR efficiently reduces the charge states of tetradecameric GroEL, illustrating Orbitrap m/z measurements to greater than 100,000 m/z. For pentameric C-reactive protein and tetradecameric GroEL, our novel device combining ECCR with surface induced dissociation (SID) reduces the charge states and yields more topologically informative fragmentation. This is the first demonstration that ECCR yields more native-like SID fragmentation. ECCR also significantly improved mass and glycan heterogeneity measurements of heavily glycosylated SARS-CoV-2 spike protein trimer and thyroglobulin dimer. Protein glycosylation is important for structural and functional properties and plays essential roles in many biological processes. The immense heterogeneity in glycosylation sites and glycan structure poses significant analytical challenges that hinder a mechanistic understanding of the biological role of glycosylation. Without ECCR, average mass determination of glycoprotein complexes is available only through charge detection mass spectrometry or mass photometry. With narrow m/z selection windows followed by ECCR, multiple glycoform m/z values are apparent, providing quick global glycoform profiling and providing a future path for glycan localization on individual intact glycoforms.

molecular biology↗

Time resolved multi-omics reveals diverse metabolic strategies of Salmonella during diet-induced inflammation

With a rise in antibiotic resistance and chronic infection, the metabolic response of Salmonella enterica serovar Typhimurium to various dietary conditions over time remains an understudied avenue for novel, targeted therapeutics. Elucidating how enteric pathogens respond to dietary variation not only helps us decipher the metabolic strategies leveraged for expansion but also assists in proposing targets for therapeutic interventions. Here, we use a multi-omics approach to identify the metabolic response of Salmonella enterica serovar Typhimurium in mice on both a fibrous diet and high-fat diet over time. When comparing Salmonella gene expression between diets, we found a preferential use of respiratory electron acceptors consistent with increased inflammation of the high-fat diet mice. Looking at the high-fat diet over the course of infection, we noticed heterogeneity of samples based on Salmonella ribosomal activity, which separated into three infection phases: early, peak, and late. We identified key respiratory, carbon, and pathogenesis gene expression descriptive of each phase. Surprisingly, we identified genes associated with host-cell entry expressed throughout infection, suggesting sub-populations of Salmonella or stress-induced dysregulation. Collectively, these results highlight not only the sensitivity of Salmonella to its environment but also identify phase-specific genes that may be used as therapeutic targets to reduce infection. ImportanceIdentifying novel therapeutic strategies for Salmonella infection that occur in relevant diets and over time is needed with the rise of antibiotic resistance and global shifts towards Western diets that are high in fat and low in fiber. Mice on a high-fat diet are more inflamed compared to those on a fibrous diet, creating an environment that results in more favorable energy generation for Salmonella. Over time on a high-fat diet, we observed differential gene expression across infection phases. Together, these findings reveal the metabolic tuning of Salmonella to dietary and temporal perturbations. Research like this, exploring the dimensions of pathogen metabolic plasticity, can pave the way for rationally designed strategies to control disease.

microbiology↗

Gut microbiome carbon and sulfur metabolisms support Salmonella during pathogen infection

Salmonella enterica serovar Typhimurium is a pervasive enteric pathogen and an ongoing global threat to public health. Ecological studies in the Salmonella impacted gut remain underrepresented in the literature, discounting the microbiome mediated interactions that may inform Salmonella physiology during colonization and infection. To understand the microbial ecology of Salmonella remodeling of the gut microbiome, here we performed multi-omics approaches on fecal microbial communities from untreated and Salmonella-infected mice. Reconstructed genomes recruited metatranscriptomic and metabolomic data providing a strain-resolved view of the expressed metabolisms of the microbiome during Salmonella infection. This data informed possible Salmonella interactions with members of the gut microbiome that were previously uncharacterized. Salmonella-induced inflammation significantly reduced the diversity of transcriptionally active members in the gut microbiome, yet increased gene expression was detected for 7 members, with Luxibacter and Ligilactobacillus being the most active. Metatranscriptomic insights from Salmonella and other persistent taxa in the inflamed microbiome further expounded the necessity for oxidative tolerance mechanisms to endure the host inflammatory responses to infection. In the inflamed gut lactate was a key metabolite, with microbiota production and consumption reported amongst transcriptionally active members. We also showed that organic sulfur sources could be converted by gut microbiota to yield inorganic sulfur pools that become oxidized in the inflamed gut, resulting in thiosulfate and tetrathionate that supports Salmonella respiration. Advancement of pathobiome understanding beyond inferences from prior amplicon-based approaches can hold promise for infection mitigation, with the active community outlined here offering intriguing organismal and metabolic therapeutic targets.

genomics↗

Stepwise design of pseudosymmetric protein hetero-oligomers

Pseudosymmetric hetero-oligomers with three or more unique subunits with overall structural (but not sequence) symmetry play key roles in biology, and systematic approaches for generating such proteins de novo would provide new routes to controlling cell signaling and designing complex protein materials. However, the de novo design of protein hetero-oligomers with three or more distinct chains with nearly identical structures is a challenging problem because it requires the accurate design of multiple protein-protein interfaces simultaneously. Here, we describe a divide-and-conquer approach that breaks the multiple-interface design challenge into a set of more tractable symmetric single-interface redesign problems, followed by structural recombination of the validated homo-oligomers into pseudosymmetric hetero-oligomers. Starting from de novo designed circular homo-oligomers composed of 9 or 24 tandemly repeated units, we redesigned the inter-subunit interfaces to generate 15 new homo-oligomers and recombined them to make 17 new hetero-oligomers, including ABC heterotrimers, A2B2 heterotetramers, and A3B3 and A2B2C2 heterohexamers which assemble with high structural specificity. The symmetric homo-oligomers and pseudosymmetric hetero-oligomers generated for each system share a common backbone, and hence are ideal building blocks for generating and functionalizing larger symmetric assemblies. Significance StatementProtein oligomers composed of multiple unique subunits are versatile building blocks for creating functional materials and controlling biological processes. However, designing robust hetero-oligomers with distinct subunits and precise structural symmetry remains a major challenge. Here, we present a general strategy for designing such complexes by breaking down the problem into simpler steps by first symmetrically re-designing the interfaces of homo-oligomeric proteins, and then recombining validated variants to form pseudosymmetric hetero-oligomers. Using this method, we generated 17 hetero-oligomers with up to three unique subunits that assemble with high specificity. Our approach can be extended to create a wide range of pseudosymmetric assemblies for manipulating cellular signaling and as building blocks for advanced protein materials. These pseudosymmeteric heterotrimers have already enabled the construction of a set of massive nanocages, including a T=4 icosahedral nanocage with a 70 nm diameter and 240 subunits.1

biochemistry↗

Protein Quaternary Structures in Solution are a Mixture of Multiple forms

Over half the proteins form homo or hetero-oligomeric structures. Experimentally determined structures are often considered in determining a proteins oligomeric state, but static structures miss the dynamic equilibrium between different quaternary forms. The problem is exacerbated in homo-oligomers, where the oligomeric states are challenging to characterize. Here, we re-evaluated the oligomeric state of 17 different bacterial proteins across a broad range of protein concentrations and solutions by native mass-spectrometry (MS), mass photometry (MP), size exclusion chromatography (SEC), and small-angle x-ray scattering (SAXS), finding that most exhibit several oligomeric states. Surprisingly, many proteins did not show mass-action driven equilibrium between the oligomeric states. For approximately half the proteins, the predicted oligomeric forms described in publicly available databases underestimated the complexity of protein quaternary structures in solution. Conversely, AlphaFold Multimer provided an accurate description of the potential multimeric states for most proteins, suggesting that it could help resolve uncertainties on the solution state of many proteins.

biochemistry↗

Mechanism of homotropic cooperativity from nearest-neighbor statistical thermodynamic modelling and native mass spectrometry of ring-shaped homo-oligomeric ligand binding proteins

Homo-oligomeric ligand-activated proteins are ubiquitous in biology. The functions of such molecules are commonly regulated by allosteric coupling between ligand binding sites. Understanding the basis for this regulation requires both quantifying the free energy {Delta}G transduced between sites, and the structural basis by which it is transduced. We consider allostery in three variants of the model ring-shaped homo-oligomeric trp RNA binding attenuation protein, TRAP. First, we developed nearest-neighbor statistical thermodynamic binding models comprising microscopic free energies for ligand binding to isolated sites {Delta}GN0, and for coupling between one or both adjacent sites, {Delta}GN1 and {Delta}GN2. Using the resulting partition function (PF) we explored the effects of these parameters on simulated population distributions for the 2N possible liganded states. We then experimentally monitored liganddependent population shifts using conventional spectroscopic and calorimetric methods, and using native mass spectrometry (MS). By resolving species with differing numbers of bound ligands by their mass, native MS revealed striking differences in their ligand-dependent population shifts. Fitting the populations to a binding polynomial derived from the PF yielded coupling free energy terms corresponding to orders of magnitude differences in cooperativity. Uniquely, this approach predicts which of the possible 2N liganded states are populated at different ligand concentrations, providing necessary insights into regulation. The combination of statistical thermodynamic modeling with native MS may provide the thermodynamic foundation for a meaningful understanding of the structure-thermodynamic linkage that drives cooperativity. TOC Figure (draft) O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=74 SRC="FIGDIR/small/484990v3_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@2ce1f3org.highwire.dtl.DTLVardef@a6541borg.highwire.dtl.DTLVardef@1dbd08aorg.highwire.dtl.DTLVardef@58297e_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOTOC Figure.C_FLOATNO Ligand (Trp) binding to multiple sites on homo-oligomeric ring-shaped proteins like TRAP alters their functional states. Homotropic cooperativity is expected to alter the activation pathway in response to cellular ligand concentration. In the presence of positive nearest-neighbor cooperativity, ligand binding is favored at adjacent sites, whereas in the absence of cooperativity, a random "Normal" distribution is expected. C_FIG

biophysics↗