Biology subjects

McGowan, S.

Publications and source records attributed to McGowan, S..

13 recordsLinked to original sources

bioRxiv2024

Delivery determinants of an Acinetobacter baumannii type VI secretion system bifunctional peptidoglycan hydrolase.

Acinetobacter baumannii is a Gram-negative opportunistic pathogen that is a common cause of nosocomial infections. The increasing development of antibiotic resistance in this organism is a global health concern. The A. baumannii clinical isolate AB307-0294 produces a type VI secretion system (T6SS) that delivers three antibacterial cargo effector proteins (Tse15, Tde16 and Tae17) that give this strain a competitive advantage against other bacteria in polymicrobial environments. These effectors are delivered via specific non-covalent interactions with the T6SS needle tip proteins VgrG15, VgrG16 and VgrG17, respectively. Here we determine the molecular function of the Tae17 effector protein and define the regions of Tae17 and VgrG17 essential for its delivery. Specifically, we show that Tae17 is a multidomain, bifunctional peptidoglycan-degrading enzyme. Tae17 has both lytic transglycosylase activity, which targets the peptidoglycan sugar backbone, and amidase activity, which targets the sugar-peptide bonds. Moreover, we show that the transglycosylase activity was more important for killing Escherichia coli. Using deletion constructs and bacterial two-hybrid analyses, we identify that amino acids 1051-1085 of the VgrG17 needle tip protein and amino acids 1-162 of the Tae17 effector protein are necessary for the Tae17:VgrG17 interaction. Furthermore, we identify the VgrG17 amino acids G1069 and W1075 as crucial for the delivery of Tae17; the first time such specific delivery determinants of T6SS cargo effectors have been defined. This study provides molecular insight into how the T6SS allows A. baumannii strains to gain dominance in polymicrobial communities and thus improve their chances of survival and transmission. IMPORTANCEWe have shown that the Acinetobacter baumannii T6SS effector Tae17 is a modular, bifunctional, peptidoglycan-degrading enzyme that has both lytic transglycosylase and amidase activity. Both activities contribute to the ability to degrade peptidoglycan, but the glycosyltransferase activity was more important for the interbacterial killing of Escherichia coli. We have defined the specific regions of Tae17 and its cognate delivery protein VgrG17 that are necessary for the non-covalent interactions and, for the first time, identified specific amino acids essential for delivery. This work contributes to our molecular understanding of bacterial competition strategies in polymicrobial environments and may provide a window to the design of new therapeutic approaches for combating infection by A. baumannii.

microbiology↗

bioRxiv2024

Structure and dynamics of the autoantigen GAD65 in complex with the human autoimmune polyendocrine syndrome type 2-associated autoantibody b96.11

The enzyme glutamate decarboxylase (GAD) produces the neurotransmitter GABA, using pyridoxal-5-phosphate. GAD exists as two isoforms, GAD65 and GAD67. Only GAD65 acts as a major autoantigen, with its autoantibodies frequently found in type 1 diabetes and other autoimmune diseases. Here we characterize the structure and dynamics of GAD65 and its interaction with the autoimmune polyendocrine syndrome type 2-associated autoantibody b96.11. Combining hydrogen-deuterium exchange mass spectrometry (HDX), X-ray crystallography, cryo-electron microscopy and computational approaches, we dissect the conformational dynamics of the inactive apo- and the active holo-forms of GAD65, as well as the structure of the GAD65-autoantibody complex. HDX reveals the time-resolved, local dynamics that accompany autoinactivation, with the catalytic loop playing a key role in promoting collective dynamics at the interface between CTD and PLP domains. In the GAD65-b96.11 complex, heavy chain CDRs dominate the interaction, with the relatively long CDRH3 at the interface centre and uniquely bridging the GAD65 dimer via extensive electrostatic interactions with the 260PEVKEK265 motif. The autoantibody bridges structural elements on GAD65 that contribute to conformational change in GAD65, thus connecting the unique and intrinsic conformational flexibility that governs the autoinactivation mechanism of the enzyme to its autoantigenicity. The intrinsic dynamics, rather than sequence differences within epitopes, appear to be responsible for the contrasting autoantigenicities of GAD65 and GAD67. Our data thus reveal insights into the structural and dynamic differences between GAD65 and GAD67 that dictate their contrasting autoantibody reactivities, provide a new structural rationalisation for the nature of the autoimmune response to GAD65, and may have broader implications for antigenicity in general.

biochemistry↗

bioRxiv2023

Structure of a Rhs effector clade domain identifies new mechanistic insights into type VI secretion system toxin delivery.

The type VI secretion system (T6SS) is a molecular machine utilised by many Gram-negative bacteria to deliver antibacterial toxins directly into adjacent bacteria, often providing a competitive advantage. Rearrangement hotspot (Rhs) effectors are known T6SS cargo effectors, but the precise delivery and activation of these toxins is poorly defined. We present the structure of a novel T6SS Rhs effector (Tse15) from the multidrug resistant nosocomial pathogen Acinetobacter baumannii. Tse15 forms a triple layered y-cocoon Rhs domain with an N-terminal -helical clade domain and an unfolded C-terminal toxin domain located entirely inside the Rhs cage. We identify that Tse15 is cleaved into three domains, through two independent auto-cleavage events involving aspartyl protease activity for toxin self-cleavage and a nucleophilic glutamic acid for the cleavage of the N-terminal clade domain. Proteomic analyses showed that the N-terminal clade and toxin domains, but not the y-strand rich Rhs cage, are delivered outside of the cell, suggesting a novel mechanism for Rhs toxin delivery and activation. Our findings suggest that this delivery mechanism requires an interaction between the N-terminal clade and toxin domains, with the clade domain acting as the internal chaperone to mediate tethering of the toxin to the T6SS machinery. Conservation of the clade domain in other Gram-negative bacteria suggest this may be a common mechanism for T6SS toxin delivery.

microbiology↗

bioRxiv2023

On-target, dual aminopeptidase inhibition provides cross-species antimalarial activity.

To combat the global burden of malaria, development of new drugs to replace or complement current therapies are urgently required. As drug resistance to existing treatments and clinical failures continue to rise, compounds targeting multiple life cycle stages and species need to be developed as a high priority. Here we show that the compound MMV1557817 is a nanomolar inhibitor of both Plasmodium falciparum and Plasmodium vivax aminopeptidases M1 and M17, leading to inhibition of end stage haemoglobin digestion in asexual parasites. Multi-stage analysis confirmed that MMV1557817 can also kill sexual stage P. falciparum, while cross-resistance studies confirmed the compound targets a mechanism of action distinct to current drug resistance mechanisms. Analysis of cross reactivity to homologous human enzymes shows the compound exhibits a high level of selectivity, whilst safety as well as druggability was confirmed in the murine model P. berghei. MMV1557817-resistant P. falciparum parasites displayed only low-level resistance (<3-fold) and exhibited a slow growth rate that was quickly outcompeted by wild type parasites. MMV1557817-resistant parasites digest significantly more haemoglobin and possess a mutation in PfA-M17 that induces partial destabilisation of the PfA-M17 homohexamer, resulting in high-level resistance to specific PfA-M17 inhibition, but enhanced sensitivity to specific PfA-M1 inhibition, and importantly, these parasites were highly sensitive to artemisinin. Overall, these results confirm MMV1557817 as a potential lead compound for further drug development and highlight the potential of dual inhibition of M1 and M17 as an effective multi-species drug targeting strategy.

microbiology↗

bioRxiv2021

Genetic and chemical validation of Plasmodium falciparum aminopeptidase PfA-M17 as a drug target in the hemoglobin digestion pathway

Plasmodium falciparum, a causative agent of malaria, continues to remain a global health threat since these parasites have developed increasing resistance to all anti-malaria drugs used throughout the world. Accordingly, drugs with novel modes of action are desperately required to combat malaria. P. falciparum parasites infect human red blood cells where they digest the hosts main protein constituent, hemoglobin. Leucine aminopeptidase PfA-M17 is one of several aminopeptidases that have been implicated in the last step of this digestive pathway. Here we utilize both reverse genetics and a compound specifically designed to inhibit the activity of PfA-M17 to show that PfA-M17 is essential for P. falciparum survival as it provides parasites with free amino acids for growth, many of which are highly likely to originate from hemoglobin. We further show that our inhibitor is on-target for PfA-M17 and has the ability to kill parasites at nanomolar concentrations. Thus, in contrast to other hemoglobin-degrading proteases that have overlapping redundant functions, we validate PfA-M17 as a potential novel drug target.

microbiology↗

bioRxiv2021

Toxoplasma gondii Toxolysin 4 contributes to efficient parasite egress from host cells

Egress from host cells is an essential step in the lytic cycle of T. gondii and other apicomplexan parasites; however, only a few parasite secretory proteins are known to affect this process. The putative metalloproteinase Toxolysin 4 (TLN4) was previously shown to be an extensively processed microneme protein, but further characterization was impeded by the inability to genetically ablate TLN4. Herein we show that TLN4 has the structural properties of an M16 family metalloproteinase, that it possesses proteolytic activity on a model substrate, and that genetic disruption of TLN4 reduces the efficiency of egress from host cells. Complementation of the knockout strain with the TLN4 coding sequence significantly restored egress competency, affirming that the phenotype of the {Delta}tln4 parasite was due to the absence of TLN4. This work identifies TLN4 as the first metalloproteinase and the second microneme protein to function in T. gondii egress. The study also lays a foundation for future mechanistic studies defining the precise role of TLN4 in parasite exit from host cells. IMPORTANCEAfter replicating within infected host cells, the single celled parasite Toxoplasma gondii must rupture out of such cells in a process termed egress. Although it is known that T. gondii egress is an active event that involves disruption of host-derived membranes surrounding the parasite, very few proteins that are released by the parasite are known to facilitate egress. In this study we identify a parasite secretory protease that is necessary for efficient and timely egress, thus laying the foundation for understanding precisely how this protease facilitates T. gondii exit from host cells.

microbiology↗

bioRxiv2021

The component parts of bacteriophage virions accurately defined by a machine-learning approach built on evolutionary features.

Antimicrobial resistance (AMR) continues to evolve as a major threat to human health and new strategies are required for the treatment of AMR infections. Bacteriophages (phages) that kill bacterial pathogens are being identified for use in phage therapies, with the intention to apply these bactericidal viruses directly into the infection sites in bespoke phage cocktails. Despite the great unsampled phage diversity for this purpose, an issue hampering the roll out of phage therapy is the poor quality annotation of many of the phage genomes, particularly for those from infrequently sampled environmental sources. We developed a computational tool called STEP3 to use the "evolutionary features" that can be recognized in genome sequences of diverse phages. These features, when integrated into an ensemble framework, achieved a stable and robust prediction performance when benchmarked against other prediction tools using phages from diverse sources. Validation of the prediction accuracy of STEP3 was conducted with high-resolution mass spectrometry analysis of two novel phages, isolated from a watercourse in the Southern Hemisphere. STEP3 provides a robust computational approach to distinguish specific and universal features in phages to improve the quality of phage cocktails, and is available for use at http://step3.erc.monash.edu/. IMPORTANCEIn response to the global problem of antimicrobial resistance there are moves to use bacteriophages (phages) as therapeutic agents. Selecting which phages will be effective therapeutics relies on interpreting features contributing to shelf-life and applicability to diagnosed infections. However, the protein components of the phage virions that dictate these properties vary so much in sequence that best estimates suggest failure to recognize up to 90% of them. We have utilised this diversity in evolutionary features as an advantage, to apply machine learning for prediction accuracy for diverse components in phage virions. We benchmark this new tool showing the accurate recognition and evaluation of phage components parts using genome sequence data of phages from under-sampled environments, where the richest diversity of phage still lies.

microbiology↗

bioRxiv2020

Mapping the substrate sequence and length of the Plasmodium M1 and M17 aminopeptidases

During malarial infection, Plasmodium parasites digest human hemoglobin to obtain free amino acids for protein production and maintenance of osmotic pressure. The Plasmodium M1 and M17 aminopeptidases are both postulated to have an essential role in the terminal stages of the hemoglobin digestion process and are validated drug targets for the design of new dualtarget anti-malarial compounds. In this study, we profiled the substrate specificity fingerprints and kinetic behaviors of M1 and M17 aminopeptidases from Plasmodium falciparum and Plasmodium vivax, and the mouse model species, Plasmodium berghei. We found that although the Plasmodium M1 aminopeptidases share a largely similar, broad specificity at the P1 position, the P. falciparum M1 displays the greatest diversity in specificity and P. berghei M1 showing a preference for charged P1 residues. In contrast, the Plasmodium M17 aminopeptidases share a highly conserved preference for hydrophobic residues at the P1 position. The aminopeptidases also demonstrated intra-peptide sequence specificity, particularly the M1 aminopeptidases, which showed a definitive preference for peptides with fewer negatively charged intrapeptide residues. When tested with a panel of peptides of increasing length, each aminopeptidase exhibited unique catalytic behavioral responses to the increase in peptide length, although all six aminopeptidases exhibited an increase in cooperativity as peptide length increased. Overall the P. vivax and P. berghei enzymes were generally faster than the P. falciparum enzymes, which we postulate is due to subtle differences in structural dynamicity. Together, these results build a kinetic profile that allows us to better understand the catalytic nuances of the M1 and M17 aminopeptidases from different Plasmodium species.

biochemistry↗

bioRxiv2020

Metal Dependent Dynamic Equilibrium: A Regulatory Mechanism for M17 Aminopeptidases from Plasmodium falciparum and Plasmodium vivax

M17 leucyl aminopeptidases are metal-dependent exopeptidases that rely on oligomerization to diversify their functional roles. The M17 aminopeptidases from Plasmodium falciparum (PfA-M17) and Plasmodium vivax (Pv-M17) function as catalytically active hexamers to acquire free amino acids from human hemoglobin and are drug targets for the design of novel anti-malarial agents. In this study, we found that the active site metal ions essential for catalytic activity have a secondary structural role mediating the formation of active hexamers. We found that PfA-M17 and Pv-M17 exist in a metal-dependent dynamic equilibrium between active hexameric species and smaller inactive species, that can be controlled by manipulating the identity and concentration of metal ions available. Mutation of residues involved in metal ion binding impaired catalytic activity and the formation of active hexamers. Structural resolution of the Pv-M17 hexameric species revealed that PfA-M17 and Pv-M17 bind metal ions and substrates in a conserved fashion, although Pv-M17 forms the active hexamer more readily and processes substrates faster than PfA-M17. On the basis of solution studies and structures determined by cryo-electron microscopy, we propose a dynamic equilibrium between monomer dimer tetramer hexamer, which becomes directional towards the large oligomeric states with the addition of metal ions. M17 aminopeptidases can exploit this sophisticated metal-dependent dynamic equilibrium to regulate formation of the catalytically active hexamer and therefore regulate catalysis.

biochemistry↗

bioRxiv2020

CaptureCompendium: a comprehensive toolkit for 3C analysis.

DNA folding within nuclei is a highly ordered process, with implications for gene regulation and development. An array of chromosome conformation capture (3C) methods have been developed to investigate how DNA is packaged within nuclei and to interrogate specific interactions. While these methods use different approaches to examine target loci (many-versus-all) or the entire genome (all-versus-all), they all rely on the core principle of endonuclease digestion and proximity-based ligation to re-arrange genomic order to reflect the three-dimensional nuclear conformation. This sequence reorganization creates novel chimeric DNA fragments which require specialist bioinformatic tools to analyze and visualize. Despite this need for specialist bioinformatic skills, the core biological importance of genome folding has seen widespread methodological uptake. To service the needs of experimentalists using the many-versus-all Capture-C family of methods we have developed CaptureCompendium; a toolkit of software to simplify the design, analysis and presentation of 3C experiments.

bioinformatics↗

bioRxiv2018

Unraveling intratumoral heterogeneity through high-sensitivity single-cell mutational analysis and parallel RNA-sequencing

Single-cell RNA-sequencing has emerged as a powerful tool to resolve transcriptional heterogeneity. However, its application to study cancerous tissues is currently hampered by the lack of coverage across key mutation hotspots in the vast majority of cells, which prevents correlation of genetic and transcriptional readouts from the same single cell. To overcome this, we developed TARGET-seq, a method for the high-sensitivity detection of multiple mutations within single-cells from both genomic and coding DNA, in parallel with unbiased, high-depth whole transcriptome analysis. We demonstrate how this technique uniquely resolves transcriptional and genetic tumor heterogeneity in myeloproliferative neoplasm stem/progenitor cells, providing insights into deregulated pathways of mutant and non-mutant cells. TARGET-seq provides a powerful tool to resolve molecular signatures of genetically distinct subclones of tumor cells.

genomics↗

bioRxiv2018

Reactive Centre Loop Dynamics and Serpin Specificity

Serine proteinase inhibitors (serpins), typically fold to a metastable native state and undergo a major conformational change in order to inhibit target proteases. However, conformational labiality of the native serpin fold renders them susceptible to misfolding and aggregation, and underlies misfolding diseases such as a1-antitrypsin deficiency. Serpin specificity towards its protease target is dictated by its flexible and solvent exposed reactive centre loop (RCL), which forms the initial interaction with the target protease during inhibition. Previous studies have attempted to alter the specificity by mutating the RCL to that of a target serpin, but the rules governing specificity are not understood well enough yet to enable specificity to be engineered at will. In this paper, we use conserpin, a synthetic, thermostable serpin, as a model protein with which to investigate the determinants of serpin specificity by engineering its RCL. Replacing the RCL sequence with that from 1-antitrypsin fails to restore specificity against trypsin or human neutrophil elastase. Structural determination of the RCL-engineered conserpin and molecular dynamics simulations indicate that, although the RCL sequence may partially dictate specificity, local electrostatics and RCL dynamics may dictate the rate of insertion during protease inhibition, and thus whether it behaves as an inhibitor or a substrate. Engineering serpin specificity is therefore substantially more complex than solely manipulating the RCL sequence, and will require a more thorough understanding of how conformational dynamics achieves the delicate balance between stability, folding and function required by the exquisite serpin mechanism of action.

biochemistry↗

bioRxiv2018

Role of dynamic cooperativity in the mechanism of hexameric M17 aminopeptidases.

The metal-dependent M17 aminopeptidases are conserved throughout all kingdoms of life. The large enzyme family is characterised by a conserved binuclear metal center and a distinctive homohexameric arrangement. To understand the mechanistic role of the hexameric assembly, we undertook an investigation of the structure and dynamics of the M17 aminopeptidase from P. falciparum, PfA-M17. We describe a novel structure of PfA-M17, which shows that the active sites of each trimer are linked by a dynamic loop, and that the loop movement is coupled with a drastic rearrangement of the binuclear metal center and substrate-binding pocket. Molecular dynamics simulations, supported by biochemical analyses of PfA-M17 variants, demonstrate that this rearrangement is inherent to PfA-M17, and that the transition between the active and inactive states is part of a dynamic regulatory mechanism. Key to the mechanism is a re-modelling of the binuclear metal center, which occurs in response to a signal from the neighbouring active site, and serves to moderate the rate of proteolysis under different environmental conditions. Therefore, this work has identified the precise mechanism by which oligomerization contributes to PfA-M17 function. Further, it has described a novel role for metal cofactors in the regulation of enzymes with implications for the wide range of metalloenzymes that operate via a two-metal ion catalytic center including DNA processing enzymes and metalloproteases.

biochemistry↗