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Smith, E.

Publications and source records attributed to Smith, E..

At least 37 records · Page 2Linked to original sources

5' UTR length regulates alternative N-terminal protein isoform production in health and disease

The 5' untranslated region (5' UTR) of an mRNA is classically viewed as a regulatory region that controls the amount of protein production, but not the resulting protein sequence. Here, we demonstrate that 5' UTR length plays a direct role in alternative N-terminal protein isoform production by controlling start codon selection. We find that very short 5' UTRs enhance leaky ribosome scanning, thereby promoting the production of truncated alternative N-terminal protein isoforms. We also show that endogenous changes in 5' UTR length due to alternative transcription initiation can tune the relative abundance of alternative N-terminal isoforms from the same gene. In addition, we identify mutations in rare genetic diseases that alter 5' UTR length, including a deletion in the VHL 5' UTR in von Hippel-Lindau disease that shifts translation toward the shorter VHLp19 isoform. Together, our results implicate 5' UTR length as a determinant of alternative N-terminal isoform production and reveal an underappreciated mechanism by which noncoding changes can reshape the proteome. HighlightsO_LI5' UTR length affects the landscape of endogenous alternative N-terminal protein isoforms C_LIO_LIGeneration of an alternative truncated AKR7A2 isoform is mediated by short 5' UTR length C_LIO_LIAlternative transcription initiation modulates 5' UTR length to tune N-terminal isoform ratios C_LIO_LIPathogenic VHL 5' UTR variants perturb N-terminal isoform ratios by altering 5' UTR length C_LI

molecular biology↗

Bedaquiline inhibits the ATP synthase leak channel and prevents glutamate-induced neuronal death

FOF1-ATP synthase is one of the most abundant proteins of the mitochondrial inner membrane and the primary enzyme responsible for ATP production in eukaryotic cells. Nevertheless, it was recently reported to play a prominent role in cell death by forming a large-conductance leak channel in the mitochondrial permeability transition pore (mPTP), making it a promising therapeutic target. Bedaquiline (BDQ), a member of the diarylquinoline class of drugs, was shown to selectively inhibit the catalytic activity of Mycobacterium tuberculosis ATP synthase with no effect on the mammalian enzyme. Here, we report a new role for BDQ as a potent inhibitor of the ATP synthase c-subunit leak channel in mammals. BDQ inhibited the single-channel activity of porcine heart ATP synthase in planar lipid bilayer recordings and prevented glutamate-induced cell death in primary hippocampal neurons. These findings reveal the potential new application of BDQ for treating mPTP-related diseases by targeting the ATP synthase c-subunit leak channel. Why it mattersBedaquiline (BDQ) is the only FDA-approved drug to treat pulmonary multidrug-resistant tuberculosis (TB), caused by the Mycobacterium tuberculosis. BDQ cures TB by specifically targeting mycobacterial ATP synthase and inhibiting ATP production. Recently, BDQ was also reported to bind to mammalian ATP synthase at the interface between the a and c-subunits and to inhibit its catalytic activity. However, the effect of BDQ on ATP synthase leak channel activity has not been explored. Here, we report that BDQ inhibits the ATP synthase c-subunit leak channel (ACLC) activity with an IC50 of [~]24 nM and prevents glutamate-induced neuronal death, suggesting a new therapeutic repurposing of BDQ for treating ACLC-related diseases.

biophysics↗

Pantoea in agriculture: Balancing promise and pathogenicity

The genus Pantoea has gained attention as a promising biofertilizer and biocontrol agent, with strains like Pantoea agglomerans and Pantoea dispersa enhancing plant growth and suppressing pathogens. However, the same genus includes pathogenic species such as Pantoea stewartii (causing Stewarts wilt in maize) and Pantoea ananatis (inducing center rot in onions). This duality raises critical concerns about the unregulated adoption of Pantoea in agriculture.

microbiology↗

Molecular interactions of Chd8 in mouse brain highlights a role in chromatin-associated RNA processing

The chromatin remodeler CHD8 is a model risk gene for neurodevelopmental disorders (NDDs). While CHD8 has nucleosome remodeling capacity, evidence suggests it participates in processes beyond chromatin regulation, raising questions about function in the brain and role in NDDs. We defined CHD8 interactions using a comprehensive multimodal omics approach. Immunoprecipitation followed by mass spectrometry (IP-MS) identified a complex interaction network enriched for chromatin remodeling, RNA processing, and cytoskeletal proteins in neonatal mouse forebrain. We implemented CHD8-TurboID in HEK293T cells, validating IP-MS signatures and further identifying a role in mitosis. In addition to DNA, Chd8 complexed with RNA in mouse forebrain, with affinity for genes associated with RNA splicing and nervous system development and overlap between Chd8-bound mRNA and promoters. Finally, Chd8 interaction affinity with RNA splicing factors was reduced in Chd8 haploinsufficient mice. These findings expand understanding of CHD8 function and identify a dosage-sensitive NDD-relevant role in chromatin-associated RNA processing.

molecular biology↗

Plasma cell identity escape drives resistance to anti-BCMA T-cell-redirecting therapy in multiple myeloma

Chimeric antigen receptor T-cell (CART) and T-cell engager (TCE) therapies targeting B-cell maturation antigen (BCMA) are transforming the treatment landscape for relapsed multiple myeloma (MM). However, despite impressive initial response rates, most patients eventually relapse. To investigate this unmet medical need, we applied whole-genome sequencing (WGS) to MM cells from cohorts of 102 relapsed patients treated with anti-BCMA CART and TCE therapies. Several genomic alterations were associated with clinical outcomes, particularly primary refractoriness, including high genomic complexity and mutations in genes regulating plasma cell identity, which predicted resistance to therapy. Single-cell RNA sequencing further revealed that MM cells from refractory patients exhibited high proliferation signatures and reduced expression of TNFRSF17 (encoding BCMA), while were less enriched for plasma cell-associated transcriptional programs, a phenomenon we term "plasma cell identity escape." This profile was strongly associated with immune dysregulation of CD8 T cells including increased activation and exhaustion. This evolution of MM toward a more proliferative and lineage-divergent state, refractory to the anti-BCMA T-cell redirecting therapies, was functionally validated in preclinical MM mouse models. Collectively, our results comprehensively define the cellular and molecular mechanisms underlying primary resistance to anti-BCMA therapies.

cancer biology↗

WNT inhibition primes the transcriptional landscape of mesoderm to initiate a phased ventricular cardiomyocyte specification programme

Background and AimsCardiac reprogramming holds promise for treating ischemic heart diseases and advancing personalised medicine, but current approaches do not yet reliably generate human functional, homogeneous cardiomyocyte cultures. This limited success likely reflects our incomplete understanding of hierarchical transcriptional programmes guiding cardiomyocyte specification. Here, we modelled cardiomyocyte differentiation aiming to uncover gene regulatory networks (GRNs) guiding early human ventricular cardiomyocyte development. Our study focused on defining how inhibition of WNT signalling remodels the transcriptional landscape underlying human cardiomyocyte differentiation, since both in vivo cardiac development and in vitro cardiomyocyte differentiation protocols require WNT inhibition. MethodsWe modelled left ventricular cardiomyocyte differentiation from human pluripotent stem cells and experimentally manipulated WNT signalling to uncover transcriptional responses using single-cell RNA sequencing. Bioinformatics analysis defined cell identities, reconstructed differentiation trajectories, and inferred WNT inhibition-dependent gene expression and regulatory networks driving cardiomyocyte specification. ResultsWe found that WNT inhibition (WNTi) decisively redirects mesoderm cells towards a cardiomyocyte progenitor fate, expanding their numbers while limiting alternative trajectories. GRN inference revealed both WNTi-dependent and -independent programmes and a hierarchical cascade of transcription factors driving the mesoderm-to-cardiomyocyte progenitor transition. Notably, MEIS2 emerged as a central WNTi-independent regulator, while WNTi-responsive networks featured early (ISL1, PBX3, TBX5 and KLF1) and late (MEF2-related genes, GATA-related genes, PBX1, CREM, FOXP1 and NKX3-1) factors. Mesodermal GRNs were primed for cardiomyocyte specification in WNTi-treated cultures but, in the absence of WNTi, mesodermal GRNs remained ambiguous, activating ISL1 and PBX3 but failing to establish cardiomyocyte commitment and subsequent differentiation into contractile cells. ConclusionThis work provides the first comprehensive dissection of WNTi-dependent and -independent regulatory hierarchies guiding human ventricular cardiomyocyte specification and highlights new transcriptional players which could improve cardiac reprogramming efficiency and fidelity. Translational PerspectiveDeciphering the transcriptional programmes that drive early cardiomyocyte specification has clear translational potential for regenerative therapies and cardiac reprogramming. By modelling left ventricular cardiomyocyte differentiation from hPSCs, our study highlights how inhibition of WNT signalling promotes ventricular cardiomyocyte progenitor commitment while restricting alternative fates. The discovery of both WNTi-dependent and -independent transcriptional activators, including some not previously linked to cardiomyocyte development, provides new insights for improving the efficiency and fidelity of direct cardiac reprogramming. Importantly, these TF candidates may also guide the development of targeted therapies for ischemic heart disease and inform personalised approaches for repairing and regenerating damaged myocardium.

developmental biology↗

Emotional Responses to Naturalistic and AI-generated Affective Pictures: A Systematic Comparison

Pictures depicting naturalistic scenes are widely used in studies of human emotion. However, the practical use of affective pictures is limited by several factors, including the difficulty of obtaining content-diverse, high-quality, openly accessible, and standardized stimuli that are necessary for specific research questions. The use of artificially generated (AI) pictures could address this limitation, but it is unclear if AI-generated pictures evoke reliable emotional responses. The present study sought to address these challenges by comparing emotional responses to AI-generated pictures with responses to original, standardized, pictures. In two study iterations, standardized pictures containing pleasant, neutral, and unpleasant content were selected from the International Affective Picture System (IAPS) and other sources. Then, a matched AI-counterpart was created for each original picture using generative deep neural networks. A total of 109 participants viewed the picture sets while pupil diameter and electroencephalogram (EEG) were recorded. Evaluative ratings of hedonic valence and emotional arousal were also collected. For both AI and original exemplars, pictures depicting emotional content elicited stronger responses than neutral content for ratings and EEG-derived variables, with weaker effect sizes for the AI-generated pictures. Furthermore, picture-level analyses found that ratings and EEG measures were strongly correlated between matched AI and original pictures. Pupil data also showed the expected content effects in study iteration 2, but not in iteration 1. Together, this initial study suggests that AI-generated picture sets can effectively elicit well-established self-reported affect and physiological responses, presenting a promising avenue for future studies of human emotion.

neuroscience↗

Rolling out plaque-2-sequence: a single plaque sequencing approach enabling rapid, low-cost sequencing of phages directly from plaques

Rapid, accurate, and scalable sequencing of bacteriophage genomes is critical to advance phage therapy, build phage biobanks and understand phage genomic diversity. Current methods are based on sequencing and assembling complete bacteriophage genomes using short- or long-read technologies. However, current protocols require large DNA input and are cost prohibitive which limits their application to phage collections that typically are large and have low-biomass. In order to address this we have developed plaque-2-sequence, a robust and cost-effective workflow for high-throughput phage genome sequencing that will transform the speed and cost of attaining phage genomes. Plaque-2-sequence combines low-input transposase-based library preparation, amplification, nanopore sequencing and optimised assembly steps tailored to phage genomes. We applied the method to phages isolated on seven genetically diverse bacterial hosts; Escherichia, Pseudomonas, Synechococcus, Enterococcus, Klebsiella , Serratia and Enterobacter. High quality genome assemblies were validated using CheckV and benchmarking against previously sequenced phage isolates. Compared to standard Illumina sequencing, plaque-2-sequence offers [~]10-fold savings in sequencing price for individual labs. Furthermore, it substantially decreases the time required to produce a phage genome, once a plaque is obtained. Offering the ability to routinely obtain hundreds of phage genome sequences a week, with minimal hands-on time. Plaque-2-sequence enables systematic genomic characterisation of phage isolates, facilitating taxonomic classification, for the development of large scale phage biobanks. Impact StatementHere we have optimised a method for high-throughput sequencing of bacteriophage genomes from single plaques (plaque-2-sequence). We present a robust, high-throughput and cost-effective workflow. Plaque-2-sequence combines low-input transposase-based library preparation, amplification, nanopore sequencing and optimised assembly steps tailored to phage genomes. We demonstrate the scalability of this approach by sequencing over 100 phages from multiple bacterial hosts. This marks a step-change for the field, allowing phage genome sequencing to keep pace with phage isolation rates, and transforming how rapidly we can explore and understand phage genomic diversity.

microbiology↗

Gonadal Transcriptome Differences Between the Sexes in Wild Caught Southern Flounder (Paralichthys lethostigma) During a Critical Development Period

Flounder in the genus Paralichthys exhibit a unique sex determination system that combines genotypic and temperature-dependent mechanisms. In southern flounder (Paralichthys lethostigma), XY individuals develop as males, while XX individuals sex is influenced by juvenile developmental temperatures. Little is known about the genes involved in this process. This study uses pooled RNA sequencing to create a de novo gonadal transcriptome and identify genes related to sex determination and differentiation in wild-caught juvenile southern flounder from two North Carolina locations with differing sex ratios. The transcriptome assembly revealed 68,331 uniquely annotated genes with high functional specificity. Nine genes were linked to sex determination, including five novel to southern flounder and associated with epigenetic mechanisms like m6a methylation and alternative splicing, suggesting epigenetic influence in male development. Additionally, genes in the TGF-{beta} signaling pathway were differentially expressed, supporting this pathways role in sex differentiation. This study provides a valuable transcriptome resource for future research on southern flounder.

evolutionary biology↗

Environmental drivers of low vaccine responsiveness in a lab-to-wild rodent model

Vaccination is the most effective way to prevent infectious diseases and safeguard public health. Yet, most new vaccines fail in late clinical trials, and even estab-lished ones often underperform in populations apart from those in which they were initially tested. This can lead to reduced vaccine responsiveness, breakthrough infections, and prevent or delay herd immunity. While the causes of vaccine hypore-sponsiveness remain difficult to identify, quantify, and therefore address, numerous reports indicate a predominant role of environmental factors. This has notably been demonstrated by a reduction in the immunogenicity and efficacy of various vaccines when transitioning from urban to rural human populations. Here, we tested whether and, if so, how the environment can cause vaccine hyporesponsive-ness. We hypothesised that if the leading causes of vaccine hyporesponsiveness were environmental, then the reduced efficacy would be exacerbated when indi-viduals are under nutritional stress; specifically predicting that high quality diet supplementation would increase vaccine responsiveness. Finally, we predicted that parasitic helminth infection, which are more common in rural populations, would degrade vaccine responsiveness, e.g. due to their ability to suppress host immunity, and that anthelmintic treatment could rescue vaccine responsiveness in infected individuals. To test these hypotheses, we coupled lab and field experiments with structural causal modelling, and measured antibody responses of paired conspecific cohorts of laboratory-reared and wild wood mice (Apodemus sylvaticus) to a single or two doses of diphtheria toxoid vaccine formulated with alum; with and without diet supplementation. We found that vaccine-specific IgG1 antibodies were [~]47% lower in the wild wood mice compared to the laboratory reared population. We also demonstrate that, across both habitats (wild and lab), substantial variation in vaccine responsiveness was caused by diet. However, contrary to our predictions, this high quality dietary supplementation resulted in lower vaccine responsiveness. Further, once the effects of habitat, diet, and sex were adjusted for, increasing hel-minth infection burdens negatively affected vaccine-specific antibody production. Using counterfactual modelling, we show that targeting anthelmintic treatment at heavily infected individuals would have improved their vaccine responsiveness by 2 to 4-fold. Our results indicate that the wild environment and access to a high-quality diet play a dramatic role in shaping the immune systems response to immunisation. Further, we show that laboratory settings, even when using a genetic diverse, non-traditional model, may systematically overestimate vaccine performance by failing to capture natural environmental variability. Our study provides a robust, causally explicit modelling approach to disentangle and quantify the complex factors that drive vaccine responsiveness in focal populations. This framework offers a path-way for predicting vaccine performance across diverse populations and identifying targeted interventions to enhance immunisation outcomes in real-world settings.

systems biology↗

Arbitrium phages can manipulate each other's lysis - lysogeny decisions

Many viruses can switch between lytic replication and dormancy (or lysogeny). It was recently discovered that some viruses that infect bacteria (known as bacteriophage, or phage) employ peptide-based ("arbitrium") communication systems to optimise their lysis/lysogeny switch: high peptide concentrations signal a lack of susceptible hosts and trigger lysogeny, while low peptide concentrations signal an abundance of uninfected hosts and prompt lysis. Here we demonstrate that Arbitrium-phages belonging to different species and genera can influence each others infection dynamics by secreting similar communication peptides, leading to early lysogenisation of the signal-receiving phage, and elevated fitness of the signal-emitting phage. Antagonistic coevolution between signal emitting and signal receiving phages to manipulate each others infection behaviours may explain the rapid diversification of arbitrium systems and their frequent horizontal exchange to escape the noise of cross talk.

ecology↗

Aberrant Neural Entrainment to Word-Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit

Fragile X syndrome (FXS), the most common inherited cause of intellectual disability and autism spectrum disorder, causes significant language and cognitive impairments. Statistical learning refers to the ability to extract patterns from sensory input through mere exposure and plays a central role in language acquisition. Surprisingly, statistical learning in FXS has not been explored. Given that children with FXS typically follow a delayed developmental trajectory for language, we hypothesized that they would show impaired statistical learning. To test this hypothesis, we used an EEG measure of neural entrainment to index statistical learning of hidden trisyllabic words within a continuous speech stream in children with FXS (n = 17) and in typically developing controls (n = 31). Children with FXS showed significantly reduced neural entrainment to words compared to controls, particularly in the superior temporal gyrus and transverse temporal gyrus (primary auditory cortex), providing evidence of statistical learning impairment. Notably, syllable-level entrainment was preserved or even enhanced in FXS, indicating that word-level deficits cannot be attributed to general auditory processing impairments. In addition, while typically developing controls showed an increase in word-level entrainment over the course of learning, children with FXS failed to show a similar increase over time. Taken together, this pattern of results demonstrates that children with FXS can process rapid, lower-order acoustic structure but struggle to integrate these syllables into longer, chunk-like word representations. Overall, these findings suggest that statistical learning is impaired in FXS, and also suggest neural entrainment to statistical structure as a potential therapeutic target.

neuroscience↗

Mechanical Properties of the Developing Brain in a Model of Fetal Alcohol Spectrum Disorders and Relationships to Perineuronal Net Integrity

Neuroimaging is a useful tool for examining altered neurodevelopmental trajectories in fetal alcohol spectrum disorders (FASD). FASD affects 1 in 20 infants in the United States with higher prevalence in specific regions across the globe. Advanced neuroimaging methods, such as volumetric morphometry and diffusion-weighted imaging, are critical for determining the effectiveness of interventions that support neurodevelopment in FASD. In this study, we introduce the use of magnetic resonance elastography (MRE), a cutting-edge neuroimaging technique used to measure the mechanical properties of brain tissue, to assess the impact of alcohol exposure and combined exercise and environmental complexity intervention on neurodevelopment in a rat model of FASD. Our results indicate that brain stiffness is reduced in juvenile alcohol-exposed rats which is recovered to baseline by adulthood, and damping ratio increases in all rats with age. Additionally, we quantified cortical perineuronal net (PNN) density which follows similar trends to shear stiffness and damping ratio, suggesting MRE may be an effective method for noninvasively monitoring FASD progression related to extracellular matrix integrity.

neuroscience↗

VILMIR is a trans-acting long noncoding RNA that enhances the host interferon response in human epithelial cells

Long noncoding RNAs (lncRNAs) have been found to play significant regulatory roles within antiviral and immune responses. We previously identified the novel lncRNA virus-inducible lncRNA modulator of interferon response (VILMIR), that was found to broadly regulate the host transcriptional response to interferon-beta (IFN-{beta}) treatment in A549 human lung epithelial cells. Here, we investigated the mechanism by which VILMIR regulates the host interferon response in trans by identifying interacting proteins and gene regulatory networks of VILMIR. Through an RNA pull-down assay, we found that VILMIR interacted with both nuclear and cytoplasmic proteins in vitro, including the transcriptional regulators FUBP1 and PUF60 in the nucleus, as well as the antiviral proteins IFIT1 and IFIT3 and the aminoacyl-tRNA synthetases QARS1 and KARS1 in the cytoplasm. In addition, we found that overexpression of VILMIR in A549 cells resulted in an overall enhancement of host interferon response genes and identified a core set of interferon-stimulated genes that were consistently regulated by VILMIR knockdown and overexpression. Finally, we proposed several possible mechanisms by which VILMIR may interact with the identified proteins to regulate the interferon response, such as by interacting with FUBP1 and PUF60 in the nucleus to regulate host transcription in trans or by interacting with the IFIT proteins and aminoacyl-tRNA synthetases in the cytoplasm to regulate translation. IMPORTANCEDespite thousands of long noncoding RNAs (lncRNAs) being differentially expressed after immune responses and viral infections, there is very limited knowledge on their individual functions in these contexts. We previously identified a novel lncRNA, VILMIR, that was found to be an interferon-stimulated gene that regulated the host transcriptional response to interferon-beta treatment in human epithelial cells. Here, we investigated the mechanism by which VILMIR regulates the interferon response in trans. Through in vitro studies, we identified several nuclear and cytoplasmic proteins that interact with VILMIR, including proteins involved in transcriptional and translational regulation. In addition, we demonstrated that the overexpression of VILMIR results in an enhancement of host interferon response genes, supporting our hypothesis that VILMIR plays an activating role in the host interferon response. Finally, we propose several potential models for the mechanism of VILMIR, providing a foundation for the investigation of VILMIR as a novel therapeutic target in antiviral immunity.

genetics↗

Selective targeting of mutant huntingtin intron-1 improves rescue provided by antisense oligonucleotides

AbstractHuntingtons disease (HD) arises from the toxic gain of function caused by a CAG expansion in the coding region of the HTT gene. HD is increasingly appreciated to emerge from multiple pathogenic processes, including somatic instability in mutant HTTs (mHTT) CAG repeat tract, which leads to diverse deleterious consequences. These include the alternative processing of HTT pre-mRNA to generate the HTT1a transcript that encodes the very toxic, mHTT isoform referred to as HTT1a. We set out to compare the efficacy and safety of allele-selective lowering of mHTT compared to non-allele-selective lowering using antisense oligonucleotides (ASOs) in heterozygous HttQ111 (Q111) mice. We developed a mutant specific ASO (MutASO) targeting Htt intron-1 that selectively reduced mutant full-length HTT, as well as HTT1a, in the brains of Q111 mice. Compared to the rescue provided by a pan-allele-targeting ASO (PanASO) that lowers wild-type HTT and full-length mHTT (sparing HTT1a), the MutASO essentially eliminated aggregate formation, and provided marked protection from transcriptional dysregulation in HD knock-in mice. Thus, by targeting the ASO to the region upstream of the cryptic polyadenylation sites required to generate the HTT1a transcript, our allele-selective MutASO potently reduced HTT1a protein levels. Here, our findings advocate that HTT1a may have a disproportionate impact on aggregate formation and transcriptional dysregulation and that lowering the levels of HTT1a could provide benefit when designing HTT-lowering based therapeutic strategies for HD.

neuroscience↗

The History of Enzyme Evolution Embedded in Metabolism

Whereas phylogenetic reconstructions are a primary record of protein evolution, it is unknown whether the deep history of enzymes are encoded at higher levels of biological organization. Here, we demonstrate that the emergence and reuse history of enzymatic folds is embedded within the web of metabolite-cofactor-enzyme interdependencies that comprise biosphere-scale metabolic reaction networks. Using a simple network analysis approach, we reconstruct the relative ordering of enzymatic fold emergence and, where possible, the first reaction(s) that each enzymatic fold catalyzed. We find that a large majority of enzymatic folds were sufficient as independent additions to open new avenues for metabolic growth. The resulting network-based histories are broadly concordant with enzyme phyletic distribution in prokaryotes, a proxy for enzyme age. Our results suggest that the earliest enzyme-mediated metabolisms were enriched for /{beta} proteins, likely due to their strong association with cofactor utilization, and that -proteins preferentially emerge at later stages. The cradle-loop barrel, a member of the small {beta}-barrel metafold, is predicted to be the founding {beta}-fold, in agreement with analyses of ribosome structure. An examination of how the protein universe responded to the biological production of molecular oxygen reveals that the adaptation of existing enzymatic folds, not novel fold emergence, was the primary driver of metabolic evolution. This work presents a self-consistent model of metabolic and enzyme evolution, key progress towards integrating diverse perspectives into a unified history of protein evolution. Significance StatementEnzyme emergence is an ongoing process that began [~]4 billion years ago. Here, we show that the modern biosphere-scale network of metabolic reactions and enzymes is an archive of enzyme history independent from, but concordant with, phylogenetics. Based on this record, we predict the order of enzyme emergence from before the last universal common ancestor up until the biological production and metabolic utilization of molecular oxygen. We find that while /{beta} proteins dominated primitive enzyme-mediated metabolism, other folds -- including the cradle-loop barrel, which is a member of the small {beta}-barrel metafold -- were likely important early contributors. This study represents key progress towards building an internally consistent, joint history of metabolic reactions and enzymes.

bioinformatics↗

Human rhinovirus 16 infection of Hela-Ohio and HEp-2 cells modifies micro RNA expression across the viral life-cycle

Human rhinovirus (RV) is the most frequent cause of the common cold, as well as severe exacerbations of chronic obstructive pulmonary disease (COPD) and asthma. Currently, there are no effective and accurate diagnostic tools or antiviral therapies. MicroRNAs (miRNAs) are small, non-coding sections of RNA involved in the regulation of gene expression and have been shown to be associated with different pathologies. However, the precise role of miRNAs in RV infection is not yet well established. This study aimed to analyse the impact of RV16 on miRNA expression across the viral life-cycle to identify a small panel with altered expression. We then aimed to specifically interrogate these results using our in-house developed modelling programme to identify specific genes regulated by these miRNAs during RV infection which can then be tested functionally. Our results first identified that three miRNAs, miR-155-5p, miR-140-3p, and miR-122-5p were potential biomarkers being differentially regulated at specific time points post infection. Our modelling program then linked these miRNAs to four genes (OLFML3, STAG2, SMARCA2, CD40LG) that play important roles in regulating the hosts antiviral responses and viral progression. Together, this work identifies a potential panel of biomarkers that could, along with our previous work, form clear diagnostic markers for RV16 infection and identifies specific targets that can be functionally interrogated helping to identify new cellular targets modified by RV16 infection that could inform future therapeutic design.

microbiology↗

Persistent cortical excitatory neuron dysregulation in adult Chd8 haploinsufficient mice.

CHD8 mutations cause autism spectrum disorder, cognitive deficits, and macrocephaly. Chd8+/- mouse models exhibit macrocephaly and transcriptional pathology, with inconsistent findings regarding neurogenesis, neuron function, and behavior. Via stereology and single nucleus transcriptomics (snRNA-seq), we found increased Chd8+/- cortical volume was not explained by increase in neuron number. Differential expression (DE) was present across cortical cell types, with excitatory neurons exhibiting high DE burden and shared and subclass-specific DE signatures. Bulk RNA-seq DE of constitutive Chd8+/- and conditional Camk2a-Cre Chd8+/-mice identified shared transcriptional pathology. DE in synaptosomal versus nuclear mRNA identified overlapping DEGs, but also significant differences and exaggerated synaptosomal changes. Building on DE findings implicating glutamatergic neurons, we found Chd8+/-mice exhibited altered excitatory neuron spine density and dynamics, decreased GCaMP activity correlation, and sleep perturbation. Thus, Chd8 haploinsufficiency causes lasting excitatory neuron dysfunction, perturbs RNA regulation beyond transcription, and impacts neuronal properties, cortical microcircuits, and behavior.

genomics↗