Biology subjects

Jackson, C. J.

Publications and source records attributed to Jackson, C. J..

At least 37 records · Page 2Linked to original sources

bioRxiv2023

Ultrahigh-affinity transport proteins from ubiquitous marine bacteria reveal mechanisms and global patterns of nutrient uptake

SAR11 bacteria are the most abundant members of the global ocean microbiome and have a broad impact on ocean ecosystems. To thrive in their competitive oligotrophic environments, these bacteria rely on solute-binding proteins (SBPs) that facilitate nutrient uptake through ABC transporters. Nonetheless, previous studies have been unable to access the molecular mechanisms and functions of these transporters because they rely heavily on homology-based predictions. These mechanisms and functions are essential to understand biogeochemical cycling in the ocean, including assimilation of dissolved organic matter (DOM). Here, by doing a biochemical study of the collective behavior of all SBPs in a SAR11 bacterium, we discover that these transporters have unprecedented binding affinity (Kd [≥]30 pM) and unexpectedly high binding specificity, revealing molecular mechanisms for oligotrophic adaptation. Our study uncovers new carbon sources for the SAR11 bacteria and provides an accurate biogeographical map of nutrient uptake in the ocean. Our results show how functional adaptation at the molecular level in ubiquitous marine bacteria impacts global patterns of DOM assimilation and provides insight into the contribution of different compounds to oceanic nutrient cycles.

biochemistry↗

bioRxiv2023

The complex inhibitory mechanism of glycomimetics with human heparanase

Heparanase (HPSE) is the only mammalian endo-{beta}-glucuronidase known to catalyse the degradation of heparan sulfate. Dysfunction of HPSE activity has been linked to several disease states, resulting in HPSE becoming the target of numerous therapeutic programs, yet no drug has passed clinical trials to date. Pentosan polysulfate sodium (PPS) is a heterogeneous FDA-approved drug for the treatment of interstitial cystitis and a known HPSE inhibitor. However, due to its heterogeneity, characterisation of its mechanism of HPSE inhibition is challenging. Here we show that inhibition of HPSE by PPS is complex, involving multiple overlapping binding events, each influenced by factors such as oligosaccharide length and inhibitor-induced changes in protein secondary structure. The present work advances our molecular understanding of the inhibition of HPSE, which will aid the development of therapeutics for the treatment of a broad range of pathologies associated with enzyme dysfunction including cancer, inflammatory disease and viral infections.

biochemistry↗

bioRxiv2022

A broad-spectrum macrocyclic peptide inhibitor of the SARS-CoV-2 spike protein

The ongoing COVID-19 pandemic has had great societal and health consequences. Despite the availability of vaccines, infection rates remain high due to immune evasive Omicron sublineages. Broad-spectrum antivirals are needed to safeguard against emerging variants and future pandemics. We used mRNA display under a reprogrammed genetic code to find a spike-targeting macrocyclic peptide that inhibits SARS-CoV-2 Wuhan strain infection and pseudoviruses containing spike proteins of SARS-CoV-2 variants or related sarbecoviruses. Structural and bioinformatic analyses reveal a conserved binding pocket between the receptor binding domain, N-terminal domain and S2 region, distal to the ACE2 receptor-interaction site. Our data reveal a hitherto unexplored site of vulnerability in sarbecoviruses that peptides and potentially other drug-like molecules can target. Significance statementThis study reports on the discovery of a macrocyclic peptide that is able to inhibit SARS-CoV-2 infection by exploiting a new vulnerable site in the spike glycoprotein. This region is highly conserved across SARS-CoV-2 variants and the subgenus sarbecovirus. Due to the inaccessability and mutational contraint of this site, it is anticipated to be resistant to the development of resistance through antibody selective pressure. In addition to the discovery of a new molecule for development of potential new peptide or biomolecule therapeutics, the discovery of this broadly active conserved site can also stimulate a new direction of drug development, which together may prevent future outbreaks of related viruses.

biochemistry↗

bioRxiv2022

A F420-dependent single domain chemogenetic tool for protein de-dimerization

Protein-protein interactions (PPIs) mediate many fundamental cellular processes and their control through optically or chemically responsive protein domains has a profound impact on basic research and some clinical applications. Most available chemogenetic methods induce the association, i.e., dimerization or oligomerization, of target proteins, and the few available dissociation approaches either break large oligomeric protein clusters or heteromeric complexes. Here, we have exploited the controlled dissociation of a dimeric oxidoreductase from mycobacteria (MSMEG_2027) by its native cofactor, F420, which is not present in mammals, as a bioorthogonal monomerization switch. We found that in the absence of F420, MSMEG_2027 forms a unique domain-swapped dimer that occludes the cofactor binding site. Substantial remodelling of the intertwined N-terminal helix upon F420 binding results in the dissolution of the dimer. We then show that MSMEG_2027 can be expressed as fusion proteins in human cells and apply it as a tool to induce and release MAPK/ERK signalling downstream of a chimeric fibroblast growth factor receptor 1 (FGFR1) tyrosine kinase. This F420-dependent chemogenetic de-dimerization tool is stoichiometric, based on a single domain and presents a novel mechanism to investigate protein complexes in situ.

synthetic biology↗

bioRxiv2022

Asymmetric ene-reduction of α,β-unsaturated compounds by F420-dependent oxidoreductases A (FDOR-A) enzymes from Mycobacterium smegmatis

The stereoselective reduction of alkenes conjugated to electron-withdrawing groups by ene-reductases has been extensively applied to the commercial preparation of fine chemicals. Although several different enzyme families are known to possess ene-reductase activity, the Old Yellow Enzyme (OYE) family has been the most thoroughly investigated. Recently, it was shown that a subset of ene-reductases belonging to the flavin/deazaflavin oxidoreductase (FDOR) superfamily exhibit enantioselectivity that is generally complementary to that seen in the OYE family. These enzymes belong to one of several FDOR subgroups that use the unusual deazaflavin cofactor F420. Here, we explore several enzymes of the FDOR-A subgroup, characterizing their substrate range and enantioselectivity, including the complete conversion of both isomers of citral to (R)-citronellel with 99% ee. Protein crystallography combined with computational docking has allowed the observed stereoselectivity to be mechanistically rationalized for two enzymes. These findings add further support for the FDOR and OYE families of ene-reductases being generally stereocomplementary to each other and highlight their potential value in asymmetric ene-reduction.

biochemistry↗

bioRxiv2022

The rugged DNA-binding sequence-fitness landscape of the LacI/GalR Family is a product of asymmetry in the operator:repressor complex

How a proteins function influences the shape of its fitness landscape, smooth or rugged, is a fundamental question in evolutionary biochemistry. Smooth landscapes arise when incremental mutational steps lead to a progressive change in function, as commonly seen in enzymes and binding proteins. On the other hand, rugged landscapes are poorly understood because of the inherent unpredictability of how sequence changes affect function. Here, we experimentally characterize the entire sequence phylogeny, comprising 1158 extant and ancestral sequences, of the DNA-binding domain (DBD) of the LacI/GalR transcriptional repressor family. Our analysis revealed an extremely rugged landscape with rapid switching of specificity even between adjacent nodes. Further, the ruggedness arises due to the necessity of the repressor to simultaneously evolve specificity for asymmetric operators and disfavors potentially adverse regulatory crosstalk. Our study provides fundamental insight into evolutionary, molecular, and biophysical rules of genetic regulation through the lens of fitness landscapes.

biochemistry↗

bioRxiv2022

The role of evolutionarily metastable oligomeric states in the optimization of catalytic activity

The emergence of oligomers is common during the evolution and diversification of protein families, yet the selective advantage of oligomerization is often cryptic or unclear. Oligomerization can involve the formation of isologous head-to-head interfaces (e.g., in symmetrical dimers) or heterologous head-to-tail interfaces (e.g., in cyclic complexes), the latter of which is less well studied and understood. In this work, we retrace the emergence of the trimeric form of cyclohexadienyl dehydratase from Pseudomonas aeruginosa (PaCDT) by introducing residues that form the PaCDT trimer-interface into AncCDT-5 (a monomeric reconstructed ancestor of PaCDT). We find that single interface mutations can switch the oligomeric state of the variants (implying evolutionarily metastable oligomeric states) and that trimerization corresponds with a reduction in the KM value of the enzyme from a promiscuous level to the physiologically relevant range. We show that this can be rationalized at the structural and dynamic level by reduced sampling of a non-catalytic conformational substate, and that trimerization was likely followed by a C-terminal extension that further refined the conformational sampling and kinetic properties of the enzyme. This work provides insight into how neutral sampling of metastable oligomeric states along an evolutionary trajectory can facilitate the evolution and optimization of enzyme function. Importance & Impact StatementUnderstanding how and why structural complexity (including homo-oligomerization and sequence insertions) emerges during the evolution and diversification of natural enzymes is a key goal in the study and design of protein function. We show that cyclic homo-oligomeric states can emerge via a small number of substitutions, and that trimerization and a C-terminal extension contributed to the tuning of catalytic properties during the evolution of cyclohexadienyl dehydratase from Pseudomonas aeruginosa.

biochemistry↗

bioRxiv2022

Predicting antiviral resistance mutations in SARS-CoV-2 main protease with computational and experimental screening

The main protease (Mpro) of SARS-CoV-2 is essential for viral replication and has been the focus of many drug discovery efforts since the start of the COVID-19 pandemic. Nirmatrelvir (NTV) is an inhibitor of SARS-CoV-2 Mpro that is used in the combination drug Paxlovid for the treatment of mild to moderate COVID-19. However, with increased use of NTV across the globe, there is a possibility that future SARS-CoV-2 lineages will evolve resistance to NTV. Early prediction and monitoring of resistance mutations could allow for measures to slow the spread of resistance and for the development of new compounds with activity against resistant strains. In this work, we have used in silico mutational scanning and inhibitor docking of Mpro to identify potential resistance mutations. Subsequent in vitro experiments revealed five mutations (N142L, E166M, Q189E, Q189I, and Q192T) that reduce the potency of NTV and of a previously identified non-covalent cyclic peptide inhibitor of Mpro. The E166M mutation reduced the half-maximal inhibitory concentration (IC50) of NTV 24-fold, and 118-fold for the non-covalent peptide inhibitor. Our findings inform the ongoing genomic surveillance of emerging SARS-CoV-2 lineages. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/505060v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@14f0713org.highwire.dtl.DTLVardef@15995feorg.highwire.dtl.DTLVardef@8689a7org.highwire.dtl.DTLVardef@b73a64_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2022

Nitroimidazopyrazinones with oral activity against tuberculosis and Chagas disease in mouse models of infection

Tuberculosis remains one of the leading causes of death from a single infectious agent, surpassing both AIDS and malaria. In recent years, two bicyclic nitroimidazole drugs, delamanid and pretomanid have been approved to treat this airborne infection. This has spurred a renewed interest in developing new and improved nitroimidazole analogs. We have previously identified a new bicyclic heteroaromatic subclass, the nitroimidazopyrazinones, with substituted analogs showing promising activity against Mycobacterium tuberculosis under both aerobic and hypoxic environments. A second generation of nitroimidazopyrazinones with extended biaryl side chain also possessed good antiparasitic activity against Trypanosoma brucei brucei and Trypanosoma cruzi, suggesting the utility of this new scaffold for development into potential candidates against both tuberculosis and the kinetoplastid parasites which cause neglected tropical diseases. In this study, we further evaluated the properties of nitroimidazopyrazinone derivatives by assessing their selectivity against different mycobacterial species, measuring their reduction potential, and determining the kinetic parameters as substrates of the deazaflavin-dependent nitroreductase (Ddn), which is the activating enzyme of delamanid and pretomanid in M. tuberculosis. We also conducted an in vivo evaluation of a lead compound, MCC8967 that demonstrated a favorable pharmacokinetic profile, with good oral bioavailability and efficacy in an acute M. tuberculosis infection model. Two other promising compounds MCC9481 and MCC9482, with good in vitro activity (IC50 = 0.016 and 0.10 {micro}M, respectively) against T. cruzi, the causative agent for Chagas diseases, were similarly tested for in vivo activity. These compounds also exhibited good oral bioavailability, and transiently reduced the acute-stage parasite burden by >98-99% at doses of 50 mg/kg once or twice daily, similar to benznidazole at 100 mg/kg once daily. Overall, we have demonstrated that active nitroimidazopyrazinones have potential to be developed as clinical candidates against both tuberculosis and Chagas disease. Author SummaryTuberculosis and parasitic infections continue to impose a significant threat to public health and economic growth worldwide. Most of the efforts to control these diseases still rely on drug treatments with limited effectiveness and significant side effects. There is now an urgent need to develop new treatments to combat these infections. Here, we report the in vitro and in vivo profile of a new bicyclic nitroimidazole subclass, namely nitroimidazopyrazinones, against mycobacteria and Trypanosoma cruzi. We found that derivatives with monocyclic side chains are selective against Mycobacterium tuberculosis, the causative agent of tuberculosis, but not active against other nontuberculosis mycobacteria. In an acute mouse model, they were able to reduce the bacterial load in lungs via oral administration. From a biochemistry perspective, we demonstrated that deazaflavin-dependent nitroreductase (Ddn) could act effectively on nitroimidazopyrazinones, indicating the potential of Ddn as an activating enzyme for these new compounds in M. tuberculosis. We also showed that derivatives with extended biaryl side chain were effective in suppressing infection in an acute T. cruzi infected murine model, with satisfactory oral bioavailability. These findings improve the understanding of the biological profile of nitroimidazopyrazinones for further development as potential antitubercular and antiparasitic agents.

pharmacology and toxicology↗

bioRxiv2021

Nuclear genome of a pedinophyte pinpoints genomic innovation and streamlining in the green algae

The genomic diversity underpinning high ecological and species diversity in the green algae (Chlorophyta) remains little known. Here, we aimed to track genome evolution in the Chlorophyta, focusing on loss and gain of homologous genes, and lineage-specific innovations of the Core Chlorophyta. We generated a high-quality nuclear genome for pedinophyte YPF701, a sister lineage to others in the Core Chlorophyta, and incorporated this genome in a comparative analysis with 25 other genomes from diverse Viridiplantae taxa. The nuclear genome of pedinophyte YPF701 has an intermediate size and gene number between those of most early-diverging prasinophytes and the remainder of the Core Chlorophyta. Our results suggest positive selection for genome streamlining in Pedinophyceae, independent from genome minimisation observed among prasinophyte lineages. Genome expansion was predicted along the branch leading to the UTC clade (classes Ulvophyceae, Trebouxiophyceae and Chlorophyceae) after divergence from their common ancestor with pedinophytes, with genomic novelty implicated in a range of basic biological functions. These results emphasise multiple independent signals of genome minimisation within the Chlorophyta, as well as the genomic novelty arising prior to diversification in the UTC clade, which may underpin the success of this species-rich clade in a diversity of habitats.

evolutionary biology↗

bioRxiv2021

Discovery of Antiviral Cyclic Peptides Targeting the Main Protease of SARS-CoV-2 via mRNA Display

Antivirals that specifically target SARS-CoV-2 are needed to control the COVID-19 pandemic. The main protease (Mpro) is essential for SARS-CoV-2 replication and is an attractive target for antiviral development. Here we report the use of the Random nonstandard Peptide Integrated Discovery (RaPID) mRNA display on a chemically cross-linked SARS-CoV-2 Mpro dimer, which yielded several high-affinity thioether-linked cyclic peptide inhibitors of the protease. Structural analysis of Mpro complexed with a selenoether analogue of the highest-affinity peptide revealed key binding interactions, including glutamine and leucine residues in sites S1 and S2, respectively, and a binding epitope straddling both protein chains in the physiological dimer. Several of these Mpro peptide inhibitors possessed antiviral activity against SARS-CoV-2 in vitro with EC50 values in the low micromolar range. These cyclic peptides serve as a foundation for the development of much needed antivirals that specifically target SARS-CoV-2.

biochemistry↗

bioRxiv2021

Electrodetection of small molecules by conformation-mediated signal enhancement

Electrochemical biosensors allow the rapid, selective, and sensitive transduction of critical biological parameters into measurable signals. However, current electrochemical biosensors often fail to selectively and sensitively detect small molecules due to their small size and low molecular complexity. We have developed an electrochemical biosensing platform that harnesses the analyte-dependent conformational change of highly selective solute-binding proteins to amplify the signal generated by analyte binding. Using this platform, we constructed and characterized two biosensors that can sense leucine and glycine, respectively. We show that these biosensors can selectively and sensitively detect their targets over a wide range of concentrations - up to seven orders of magnitude - and that the selectivity of these sensors can be readily altered by switching the bioreceptors binding domain. Our work represents a new paradigm for the design of a family of modular electrochemical biosensors, where access to electrode surfaces can be controlled by protein conformational change.

biochemistry↗

bioRxiv2021

Protein and substrate flexibility contribute to enzymatic specificity in human and bacterial methionine adenosyltransferases

Protein conformational change can facilitate the binding of non-cognate substrates and underlie promiscuous activities. However, the contribution of substrate conformational dynamics to this process is comparatively poorly understood. Here we analyse human (hMAT2A) and Escherichia coli (eMAT) methionine adenosyltransferases that have identical active sites but different substrate specificity. In the promiscuous hMAT2A, non-cognate substrates bind in a stable conformation to allow catalysis. In contrast, non-cognate substrates rarely sample stable productive binding modes in eMAT owing to altered mobility in the enzyme active site. Different cellular concentrations of substrate likely drove the evolutionary divergence of substrate specificity in these orthologs. The observation of catalytic promiscuity in hMAT2A led to the detection of a new human metabolite, methyl thioguanosine, that is produced at elevated level in a cancer cell line. This work establishes that identical active sites can result in different substrate specificity owing to the effects of substrate and enzyme dynamics.

biochemistry↗

bioRxiv2021

Regulatory adenylnucleotide-mediated binding of the PII-like protein SbtB to the cyanobacterial bicarbonate transporter SbtA is controlled by the cellular energy state

Cyanobacteria have evolved a remarkably powerful CO2 concentrating mechanism (CCM), enabling high photosynthetic rates in environments with limited inorganic carbon (Ci). Therefore, this CCM is a promising system for integration into higher plant chloroplasts to boost photosynthetic efficiency and yield. The CCM depends on active Ci uptake, facilitated by bicarbonate transporters and CO2 pumps, to elevate CO2 concentration around the active sites of the primary CO2 fixing enzyme, Rubisco, which is encapsulated in cytoplasmic micro-compartments (carboxysomes). The essential CCM proteins have been identified, but the molecular signals and regulators that coordinate function in response to light, Ci availability and other environmental cues are largely unknown. Here, we provide evidence, based on a novel in vitro binding system, for a role of the PII-like SbtB protein in regulating Ci uptake by the bicarbonate transporter, SbtA, in response to the cellular adenylate energy charge (AEC) through dynamic protein-protein interaction. Binding of the SbtA and SbtB proteins from two phylogenetically distant species, Cyanobium sp. PCC7001 and Synechococcus elongatus PCC7942, was inhibited by high ATP, and promoted by low [ATP]:[ADP or AMP] ratios in vitro, consistent with a sensory response to the AEC mediated through adenylnucleotide ligand-specific conformation changes in SbtB. In vivo, cell cultures of S. elongatus showed up to 70% SbtB-dependent down-regulation of SbtA bicarbonate uptake activity specifically in the light activation phase during transitions from dark to low light when low cellular AEC is expected to limit metabolic activity. This suggests SbtB may function as a curfew protein during prolonged low cellular AEC and photosynthetically unfavourable conditions to prevent energetically futile and physiologically disadvantageous activation of SbtA.

plant biology↗

bioRxiv2021

Structural and functional characterization of a putative de novo gene in Drosophila

Comparative genomic studies have repeatedly shown that new protein-coding genes can emerge de novo from non-coding DNA. Still unknown is how and when the structures of encoded de novo proteins emerge and evolve. Combining biochemical, genetic and evolutionary analyses, we elucidate the function and structure of goddard, a gene which appears to have evolved de novo at least 50 million years ago within the Drosophila genus. Previous studies found that goddard is required for male fertility. Here, we show that Goddard protein localizes to elongating sperm axonemes and that in its absence, elongated spermatids fail to undergo individualization. Combining modelling, NMR and CD data, we show that Goddard protein contains a large central -helix, but is otherwise partially disordered. We find similar results for Goddards orthologs from divergent fly species and their reconstructed ancestral sequences. Accordingly, Goddards structure appears to have been maintained with only minor changes over millions of years.

evolutionary biology↗

bioRxiv2020

Mutational and biophysical robustness in a pre-stabilized monobody

The fibronectin type III (FN3) monobody domain is a promising non-antibody scaffold which features a less complex architecture than an antibody while maintaining analogous binding loops. We previously developed FN3Con, a hyper-stable monobody derivative with diagnostic and therapeutic potential. Pre-stabilization of the scaffold mitigates the stability-function trade-off commonly associated with evolving a protein domain towards biological activity. Here, we aimed to examine if the FN3Con monobody could take on antibody-like binding to therapeutic targets, while retaining its extreme stability. We targeted the first of the Adnectin derivative of monobodies to reach clinical trials, which was engineered by directed evolution for binding to the therapeutic target VEGFR2; however, this function was gained at the expense of large losses in thermostability and increased oligomerisation. In order to mitigate these losses, we grafted the binding loops from Adnectin-anti-VEGFR2 (CT-322) onto the pre-stabilized FN3Con scaffold to produce a domain that successfully bound with high affinity to the therapeutic target VEGFR2. This FN3Con-anti-VEGFR2 construct also maintains high thermostability, including remarkable long-term stability, retaining binding activity after 2 years of storage at 36 {degrees}C. Further investigations into buffer excipients doubled the presence of monomeric monobody in accelerated stability trials. These data suggest that loop grafting onto a pre-stabilized scaffold is a viable strategy for the development of monobody domains with desirable biophysical characteristics, and is therefore well-suited to applications such as the evolution of multiple paratopes or shelf-stable diagnostics and therapeutics.

biochemistry↗

bioRxiv2020

New targets acquired: improving locus recovery from the Angiosperms353 probe set

Universal target enrichment kits maximise utility across wide evolutionary breadth while minimising the number of baits required to create a cost-efficient kit. Locus assembly requires a target reference, but the taxonomic breadth of the kit means that target references files can be phylogenetically sparse. The Angiosperms353 kit has been successfully used to capture loci throughout angiosperms but includes sequence information from 6-18 taxa per locus. Consequently, reads sequenced from on-target DNA molecules may fail to map to references, resulting in fewer on-target reads for assembly, reducing locus recovery. We expanded the Angiosperms353 target file, incorporating sequences from 566 transcriptomes to produce a mega353 target file, with each gene represented by 17-373 taxa. This mega353 file is a drop-in replacement for the original Angiosperms353 file in HybPiper analyses. We provide tools to subsample the file based on user-selected taxon groups, and to incorporate other transcriptome or protein-coding gene datasets. Compared to the default Angiosperms353 file, the mega353 file increased the percentage of on-target reads by an average of 31%, increased loci recovery at 75% length by 61.9%, and increased the total length of the concatenated loci by 30%. The mega353 file and associated scripts are available at: https://github.com/chrisjackson-pellicle/NewTargets

bioinformatics↗

bioRxiv2020

The NK Landscape as a Versatile Benchmark for Machine Learning Driven Protein Engineering

Machine learning (ML) has revolutionized protein biology, solving long-standing problems in protein folding, scaffold generation and function design tasks. A range of architectures have shown success on supervised protein fitness prediction tasks. Nevertheless, in the absence of rational approaches for evaluating which architectures are optimal for specific datasets and engineering tasks, architecture choice remains challenging. Here, we propose a framework for investigating the determinants of success for a range of ML architectures. Using simulated (the NK model) and empirical fitness landscapes, we measure sequence-fitness prediction along six key performance metrics: interpolation within the training domain, extrapolation outside the training domain, robustness to increasing epistasis/ruggedness, ability to perform positional extrapolation, robustness to sparse training data, and sensitivity to sequence length. We show that architectural differences between algorithms consistently affect performance against these metrics across both experimental and theoretical landscapes. Moreover, landscape ruggedness emerges as a primary determinant of accuracy of sequence-fitness prediction. Our methodology and results provide a rational strategy for experimental data sampling, model selection and evaluation rooted in fitness landscape theory; one that we hope will advance sequence-fitness prediction accuracy, with implications for protein engineering and variant functional prediction.

synthetic biology↗