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Thomson, S.

Publications and source records attributed to Thomson, S..

At least 19 recordsLinked to original sources

Patient cerebral organoids capture Alzheimers disease proteomic biomarkers and drug targets

Patient iPSC-derived cerebral organoids are a leading human model of Alzheimers disease, yet their proteome has never been benchmarked against human disease. Clinical cohorts now nominate thousands of biomarkers and drug targets across three proteomic platforms, and whether patient organoids capture these candidates is unknown. Here, we profile AD and control cerebral organoids containing neurons, astrocytes, and microglia on the three platforms driving clinical discovery, mass spectrometry, SomaScan, and Olink, in both conditioned media and lysate. Benchmarked against 121 studies and clinical cohorts of over 17,000 plasma, CSF, and cortex samples, patient organoids detect almost every nominated candidate and reproduce the disease-associated change in roughly one in four of the most reproducible. This convergence spans plasma, CSF, and cortex, and extends to synaptic, mitochondrial, and proteostatic biology. We provide the first multi-platform reference proteome of a patient-derived AD model, establishing it as a translationally relevant system for studying AD.

neuroscience↗

Adding iPSC donor lines does not adequately control for genetic heterogeneity

Human induced pluripotent stem cell (iPSC)-based disease modelling studies are widely expected to include three to five independent donor lines to control for the contribution of donor genetic background to phenotypic variance. This convention has been formalized into major guidelines, yet no power analysis has evaluated whether these sample sizes can detect, estimate, or control for donor-level genetic effects. Here, we provide that evaluation. Using Monte Carlo simulation, closed-form confidence intervals, population genetics, and empirical resampling of transcriptomic data from iPSC lines, we show that studies with three to five donors cannot reliably detect donor-level variance, cannot estimate its magnitude with useful precision, and cannot determine whether a treatment effect generalizes across genetic backgrounds. The sample sizes required to reliably detect, estimate, or control for donor-level variance exceed 20 donors and, for many phenotypes, exceed 50, well beyond what any standard disease modelling experiment can deliver. Adding two or three donor lines to a study does not meaningfully increase statistical power, narrow confidence intervals, or establish whether a treatment effect generalizes across genetic backgrounds. The inability to control for genetic background is not a limitation of individual study design but a structural property of iPSC-based modelling. We propose that the field adopt isogenic controls for variant-specific questions and orthogonal validation against clinical datasets for generalizability, rather than treating donor number as a proxy for rigour.

bioengineering↗

Wearable Dual-Modality Plethysmography for Arterial Modulation and Blood Pressure Dip

Continuous, non-invasive cardiovascular monitoring is limited by the superficial sensing depth of Photoplethysmography (PPG), which is susceptible to peripheral artifacts. This study evaluates a wearable dual-modality prototype integrating dryelectrode Impedance Plethysmography (IPG) and PPG within a smartwatch form factor. Results from a pilot study (N=2) demonstrate that IPG signals exhibit a temporal lead over PPG across ventral and dorsal sites, supporting its greater penetration depth. During brachial artery modulation, IPG showed superior sensitivity to arterial recovery on the ventral forearm. Furthermore, 60-minute napping sessions revealed that while PPG remained morphologically stable, IPG signals underwent significant evolution, capturing distinct pulsewave archetypes. These findings suggest that wearable IPG provides a high-fidelity window into deep systemic hemodynamics typically reserved for clinical instrumentation.

physiology↗

TEgenomeSimulator: A Flexible Framework for Simulating Genomes with Configurable Transposable Element Landscapes

Transposable elements (TEs) are major contributors to genome structure and evolution. However, our ability to study them is limited by the difficulty of annotating and curating them, especially in non-model organisms. This challenge is compounded by a lack of ground-truth datasets for benchmarking, which are nearly impossible to generate through manual curation alone. To overcome this critical limitation, we developed TEgenomeSimulator, a flexible framework for generating synthetic genomes with configurable TE landscapes. TEgenomeSimulator supports both randomly generated and biologically derived backbone sequences, enabling the modeling of TE insertions under diverse structural and evolutionary contexts. Benchmarking against existing simulators demonstrated that TEgenomeSimulator reproduces realistic TE composition, sequence divergence, and integrity distributions while offering greater flexibility in modeling chromosome-level structure. Its modular design offers a tuneable continuum between biological fidelity and experimental control, facilitating systematic benchmarking, algorithm development, and evolutionary modeling of TE dynamics in silico, filling a major gap in the field. The source code of TEgenomeSimulator and the scripts for this paper are available at https://github.com/Plant-Food-Research-Open/TEgenomeSimulator.

bioinformatics↗

APOE ε4 defines a systemic immune endophenotype independent of clinical trajectory in amyotrophic lateral sclerosis

BackgroundAmyotrophic lateral sclerosis (ALS) is clinically heterogeneous, and genetic modifiers may drive molecular endophenotypes without obvious clinical stratification. The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is a major Alzheimers disease risk allele, but its biological impact in ALS remains unclear. MethodsUsing the Answer ALS cohort, longitudinal motor, cognitive, and neuropsychiatric measures were modelled using mixed-effects approaches. Patient induced pluripotent stem cell-derived motor neuron multiomics (chromatin accessibility, transcriptomics, and proteomics) were analysed using supervised machine learning. Plasma SomaScan profiling was used to derive an APOE {varepsilon}4-associated protein signature and to test its stability across serial visits, biological pathway enrichment, and associations with clinical progression. ResultsAPOE {varepsilon}4 carriage was not associated with baseline severity or rate of functional decline and showed no consistent effects on cognitive or neuropsychiatric trajectories. Motor neuron multiomic profiles similarly demonstrated no reproducible APOE {varepsilon}4 signal and did not reliably classify genotype. In contrast, plasma proteomics identified an APOE {varepsilon}4 protein signature that classified {varepsilon}4 status with high accuracy in ALS (AUC 0.98) and non-ALS motor neuron disease (AUC 0.86) and was enriched for immune and inflammatory biology. This systemic signature was highly stable across repeated sampling, indicating a persistent genotype-associated state. Within this plasma endophenotype, a small set of proteins tracked functional decline and a composite score stratified fast versus slow progression. Baseline composite scores were elevated in APOE {varepsilon}4 carriers in both ALS and neurologically unimpaired controls, consistent with a stable systemic shift detectable beyond overt disease status. ConclusionsAPOE {varepsilon}4 defines a persistent, immune-enriched systemic proteomic endophenotype in ALS that is not captured by clinical trajectories or motor neuron-only profiling yet relates to disease progression. Plasma-based, genotype-informed endophenotyping offers a translational pathway for biomarker stratification and therapeutic prioritisation in ALS and potentially other heterogeneous neurodegenerative disorders.

neuroscience↗

Prenatal Environmental Determinants of Aromatase Brain-Promoter Methylation in Cord Blood: Chemical, Airborne, Pharmacological, and Nutritional Factors

Aromatase, an enzyme encoded by the gene CYP19A1, plays central roles in neurodevelopment. In the brain, its function is to convert androgens into neuroestrogens, ensuring balanced hormonal signalling. Both animal experiments and human studies have shown that, in males, disruption of aromatase, either genetically or epigenetically, can increase symptoms of autism. Prenatal exposure to bisphenol A (BPA), a common plastic chemical, can increase levels of DNA methylation--a key epigenetic modification--at the brain-specific CYP19A1 promoter, P1.f, reducing CYP19A1 expression. However, the extent to which other neurodevelopmentally relevant environmental exposures influence P1.f methylation remains unclear. Here, in the Barwon Infant Study (BIS) birth cohort (N = 906), we analysed the association between 25 prenatal exposures (from five classes previously linked to neurodevelopmental outcomes: manufactured chemicals, air pollution, and pharmacological, nutrition and sunlight-related factors) and methylation of the CYP19A1 P1.f promoter using Weighted Quantile Sum (WQS) regression. We found that the WQS mixture index, a weighted combination of the prenatal exposures, was positively associated with higher P1.f methylation (Adjusted Mean Difference (AMD) = 0.712 (95% CI 0.11, 1.315), p = 0.021), indicating reduced brain aromatase activity. Prenatal exposures with the strongest contribution to the mixture effect included bisphenols (including BPA), reduced sunlight, household mould, phthalates, low folate intake, and air pollution. These findings highlight epigenetic modification of the aromatase gene as a biologically plausible, convergent mechanism through which multiple environmental risk factors for autism may exert effects.

genomics↗

Profiling Lysosomal and Mitochondrial Dysfunction in Neurodegenerative Diseases Using Human Fibroblasts for Translational Therapeutic Screening

Lysosomal dysfunction and mitochondrial health are intricately connected, playing essential roles in cellular homeostasis. Lysosomes are acidic membrane-bound organelles responsible for degrading and recycling cellular waste, while mitochondria generate the energy required for cellular functions. Growing evidence implicates roles for lysosomal and mitochondrial dysfunction in neurodegenerative diseases, including Alzheimers and Parkinsons disease. With novel therapeutics targeting both the lysosomal and mitochondrial functions, robust assays for compound screening are becoming critical to evaluate modulation of both organelles in disease-relevant cellular models. Here, we investigated human fibroblasts derived from healthy donors, as well as patients with Alzheimers and Parkinsons disease, to assess their capacity to model key aspects of lysosomal and mitochondrial dysfunction. Lysosomal function was evaluated using various assays, including quantification of lysosomal proteins (TMEM175 and LAMP1), LysoTracker staining, measurement of lysosomal pH, and lysosomal enzymatic activity. Autophagic flux was assessed by measuring p62 levels as a marker of autophagy. Mitochondrial function was investigated by measuring mitochondrial calcium levels, membrane potential, oxidative stress, and mitochondrial content using MitoTracker. To explore the potential of using human fibroblasts for in vitro compound screening, we validated these assays in a 384-well high-throughput format using compounds such as chloroquine and ammonium chloride. Our findings demonstrate that human fibroblasts faithfully recapitulate lysosomal and mitochondrial dysfunctions characteristic of neurodegenerative diseases. Moreover, the use of robust assays positions these cells as a valuable platform for high-throughput screening to identify novel therapeutics targeting lysosomal and mitochondrial pathways.

neuroscience↗

Differential Sensitivity of Impedance Plethysmography andPhotoplethysmography Sensors to Temperature-Induced PeripheralVasoconstriction

Impedance plethysmography (IPG) and photoplethysmography (PPG) are non-invasive techniques for measuring blood volume changes. This study investigated the differential responses of IPG and PPG to temperature-mediated vasoconstriction induced by localized cooling. Twenty-one participants underwent control and treatment conditions, with real or fake ice cubes applied to the forearm. PPG signal amplitude significantly decreased with cooling (p < 0.001), indicating sensitivity to capillary blood flow changes. In contrast, IPG signal amplitude remained stable, suggesting it primarily reflects blood flow in larger/deeper vessels. Blood pressure remained stable, while heart rate decreased. These findings suggest IPG is less sensitive to capillary-level changes than PPG and may be more suitable for monitoring deeper blood flow. This study provides insights into the distinct sensitivities of IPG and PPG, with implications for wearable device development and cardiovascular monitoring.

physiology↗

Rhamnose Polysaccharide-Decorated Outer Membrane Vesicles as a Vaccine Candidate Targeting Group A Streptococcus from Streptococcus pyogenes and Streptococcus dysgalactiae subsp. equisimilis

Group A Streptococcus (Strep A) cause a wide range of human-exclusive infections, annually killing more than 500,000 people. Antibiotic resistance incidence of invasive Strep A tripled in the past decade and emphasises the need to develop a universal Strep A vaccine. In this study, we developed recombinant rhamnose polysaccharides (RhaPS), a validated universal Strep A vaccine candidate, presented on E. coli outer membrane vesicles (OMVs). We investigated OMV-RhaPS for their immunogenicity in the mouse and rabbit models. Through flow cytometry, ELISA, Luminex assays, and immunofluorescence microscopy, we demonstrated that RhaPS-specific antibodies recognise Strep A strains via the Group A Carbohydrate (GAC) in S. pyogenes and the newly emerged S. dysgalactiae subsp. equisimilis. Elevated IL-17a levels from RhaPS-OMV-immunised splenocytes indicate the RhaPS-specific stimulation of long-term memory immune cells. We are the first to report the efficacy and potency of recombinant produced RhaPS inducing humoral-mediated immune responses and triggering antibodies that recognise Strep A bacteria.

microbiology↗

Low-pass nanopore sequencing for measurement of global methylation levels in plants

Nanopore sequencing enables detection of DNA methylation at the same time as identification of canonical sequence. A recent study validated low pass nanopore sequencing to accurately estimate global methylation levels in vertebrates with sequencing coverage as low as 0.01x. We investigated the applicability of this approach to plants by testing three plant species and analysed the effect of technical and biological parameters on estimate precision and accuracy. Our results indicate that a higher coverage (0.1x) is required to assess plant global methylation at an equivalent accuracy to vertebrates. Shorter read length and a closer sequence match between sample and reference genome improved measurement accuracy. Application of this method in Vitis vinifera showed consistent global methylation levels across different leaf sizes, and different sample preservation and DNA extraction methods, whereas different varieties and tissue types did exhibit methylation differences. Similarly, distinct methylation patterns could be observed in different genomic features. Our findings suggest the suitability of this method as a low-cost screening tool for validation of experimental parameters, developmental time courses and to assess methylation status for different modification types and sequence contexts at the level of whole genome or for abundant genomic features such as transposable elements.

genomics↗

A Systematic Review of the Neuroprotective Role and Biomarker Potential of GDF15 in Neurodegeneration

Neurodegeneration is characteristically multifaceted, with limited therapeutic options. One of the chief pathophysiological mechanisms driving these conditions is neuroinflammation, prompting increasing clinical interest in immunomodulatory agents. Growth differentiation factor 15 (GDF15; previously also called macrophage inhibitory cytokine-1 or MIC-1), an anti-inflammatory cytokine with established neurotrophic properties, has emerged as a promising therapeutic agent in recent decades. However, methodological challenges and the delayed identification of its specific receptor GFRAL have hindered research progress. This review systematically examines literature about GDF15 in neurodegenerative diseases and neurotrauma. The evidence collated in this review indicates that GDF15 expression is upregulated in response to neurodegenerative pathophysiology and increasing its levels in preclinical models typically improves outcomes. Key knowledge gaps are addressed for future investigations to foster a more comprehensive understanding of the neuroprotective effects elicited by GDF15.

neuroscience↗

Flawed machine-learning confounds coding sequence annotation

BackgroundDetecting protein-coding genes in nucleotide sequences is a significant challenge for understanding genome and transcriptome function, yet the reliability of bioinformatic tools for this task remains largely unverified. This is despite some tools being available for several decades, and widely used for genome and transcriptome annotation. ResultsWe perform an assessment of nucleotide sequence and alignment-based de novo protein-coding detection tools. The controls we use exclude any previous training dataset and include coding exons as a positive set and length-matched intergenic and shuffled sequences as negative sets. Our work demonstrates that several widely used tools are neither accurate nor computationally efficient for the protein-coding sequence detection problem. In fact, just three of nine tools significantly outperformed a naive scoring scheme. Furthermore, we note a high discrepancy between self-reported accuracies and the accuracy achieved in our study. Our results show that the extra dimension from conserved and variable nucleotides in alignments have a significant advantage over single sequence approaches. ConclusionsThese results highlight significant limitations in existing protein-coding annotation tools that are widely used for lncRNA annotation. This shows a need for more robust and efficient approaches to training and assessing the performance of tools for identifying protein-coding sequences. Our study paves the way for future advancements in comparative genomic approaches, and we hope will popularise more robust approaches to genome and transcriptome annotation.

bioinformatics↗

Cerebrospinal fluid proteome profiling using machine learning shows a unique protein signature associated with APOE4 genotype

INTRODUCTIONProteome changes associated with APOE4 variant carriage that are independent of Alzheimers disease (AD) pathology and diagnosis are unknown. This study investigated APOE4 proteome changes in people with AD, mild cognitive impairment, and no impairment. METHODSClinical, APOE genotype, and cerebrospinal fluid (CSF) proteome and AD biomarker data was sourced from the Alzheimers Disease Neuroimaging Initiative (ADNI) database. Proteome profiling was done using supervised machine learning. RESULTSWe found an APOE4-specific proteome signature that was independent of cognitive diagnosis and AD pathological biomarkers, and increased risk of progression to cognitive impairment. Proteins were enriched in brain regions including the caudate and cortex and cells including endothelial cells, oligodendrocytes, and astrocytes. Enriched peripheral immune cells included T cells, macrophages, and B cells. DISCUSSIONAPOE4 carriers have a unique CSF proteome signature associated with a strong brain and peripheral immune and inflammatory phenotype that likely underlies APOE4 carriers vulnerability to cognitive decline and AD.

neuroscience↗

Identification and characterization of innate immunity in Actinidia melanandra in response to Pseudomonas syringae pv. actinidiae

Pseudomonas syringae pv. actinidiae biovar 3 (Psa3) has decimated kiwifruit orchards growing susceptible kiwifruit Actinidia chinensis varieties. Effector loss has occurred recently in Psa3 isolates from resistant kiwifruit germplasm, resulting in strains capable of partially overcoming resistance present in kiwiberry vines (A. arguta, A. polygama, and A. melanandra). Diploid male A. melanandra recognises several effectors, sharing recognition of at least one avirulence effector (HopAW1a) with previously studied tetraploid kiwiberry vines. Sequencing and assembly of the A. melanandra genome enabled the characterisation of the transcriptomic response of this non-host to wild-type and genetic mutants of Psa3. A. melanandra appears to mount a classic effector-triggered immunity (ETI) response to wildtype Psa3 V-13, as expected. Surprisingly, the type III secretion (T3S) system-lacking Psa3 V-13 {Delta}hrcC strain did not appear to trigger pattern-triggered immunity (PTI) despite lacking the ability to deliver immunity-suppressing effectors. Contrasting the A. melanandra responses to an effectorless Psa3 V-13 {Delta}33E strain and to Psa3 V-13 {Delta}hrcC suggested that PTI triggered by Psa3 V-13 was based on the recognition of the T3S itself. The characterisation of both ETI and PTI branches of innate immunity responses within A. melanandra further enables breeding for durable resistance in future kiwifruit cultivars.

plant biology↗

A platform for the recombinant production of Group A Streptococcus glycoconjugate vaccines

Strep A is a human-exclusive bacterial pathogen killing annually more than 500,000 patients, and no current licensed vaccine exists. Strep A bacteria are highly diverse, but all produce an essential, abundant, and conserved surface carbohydrate, the Group A Carbohydrate, which contains a rhamnose polysaccharide (RhaPS) backbone. RhaPS is a validated universal vaccine candidate in a glycoconjugate prepared by chemical conjugation of the native carbohydrate to a carrier protein. We engineered the Group A Carbohydratte biosynthesis pathway to enable recombinant production using the industry standard route to couple RhaPS to selected carrier proteins within E. coli cells. The structural integrity of the produced recombinant glycoconjugate vaccines was confirmed by NMR spectroscopy and mass spectrometry. Purified RhaPS glycoconjugates elicited carbohydrate-specific antibodies in mice and rabbits and bound to the surface of multiple Strep A strains of diverse M-types, confirming the recombinantly produced RhaPS glycoconjugates as valuable vaccine candidates.

microbiology↗

What Does Large-scale Electrodermal Sensing Reveal?

Electrodermal activity (EDA) is a physiological measure that is used to index sympathetic arousal in response to stressors and other perturbations. However, EDA is underutilized in real-world, population-level research and clinical practice because of a paucity of remote measurement capabilities on commodity devices. The current study examined the capabilities of continuous remote measurement of EDA at scale to quantify physiological changes in the context of diurnal and circadian rhythms, demographic differences, high arousal contexts such as public holidays and high arousal moments (e.g., the Super Bowl). We first demonstrated the accuracy of a novel EDA sensor developed for the Fitbit Sense 2 wearable device within a controlled, arousal-inducing experiment. We then retrospectively analyzed 10 million hours of continuous EDA data collected from over 16,000 people. We show that continuously sampled in-situ EDA from Sense 2 has similar population-level diurnal patterns as those established from more tightly controlled in-lab experiments. Following this, variation of SCL across day of the week and season are presented. Finally, EDA dynamics occurring in response to commonly held stressful or exciting events such as Thanksgiving and the Super Bowl are described which we interpret as a natural experiment eliciting autonomic arousal.

physiology↗

Visual integration of GWAS and differential expression results with the hidecan R package

SummaryWe present hidecan, an R package for generating visualisations that summarise the results of one or more genome-wide association studies and differential expression analyses, as well as manually curated candidate genes, e.g. extracted from the literature. Availability and ImplementationThe hidecan package is implemented in R and is publicly available on the CRAN repository (https://CRAN.R-project.org/package=hidecan) and on GitHub (https://github.com/PlantandFoodResearch/hidecan). A description of the package, as well as a detailed tutorial are available at https://plantandfoodresearch.github.io/hidecan/. Contactolivia.angelin-bonnet@plantandfood.co.nz. Supplementary informationSupplementary data are available.

genetics↗

Recombinant Group A Carbohydrate backbone embedded into Outer Membrane Vesicles is a potent vaccine candidate targeting Group A Streptococcus from Streptococcus pyogenes and Streptococcus dysgalactiae subsp. equisimilis

BackgroundGroup A Streptococcus (GAS) are responsible for a wide range of human-exclusive infections, annually killing more than 500,000 people. Antibiotic resistance incidence of invasive GAS tripled in the past decade and emphasises the need to develop a universal GAS vaccine. We have produced, for the first time, a recombinant polyrhamnose backbone (pRha), a validated universal GAS vaccine candidate. E. coli outer membrane vesicles (OMVs) carrying pRha were investigated for their immunogenicity and efficacy in an animal model. MethodsOMVs decorated with pRha were administered to C57BL/6J mouse and rabbit models. Flow cytometry, ELISA, Luminex, immunofluorescence microscopy and serum bactericidal assay assays were conducted to investigate the ability of pRha-specific antibodies to recognise and kill clinical (hypervirulent) GAS strains. ResultsOur results suggest that pRha-OMVs induce specific antibodies which recognise Group A Carbohydrate (GAC) from S pyogenes and S. dysgalactiae subsp. equisimilis. Increased IgG levels correlate with increased bactericidal killing of the hypervirulent GAS M89 strain. Elevated IL-17a from pRha-OMV-immunised splenocytes indicates possible stimulation of long-term memory immune cells. ConclusionWe are the first to report efficacy and potency of this unique, exogenously produced polysaccharide, pRha, in the induction of humoral-mediated immune responses to GAS. TopicStreptococcus pyogenes, immunoglobulins, polysaccharides, opsonophagocytosis, acute rheumatic fever, M protein, invasive Group A Streptococcus, hyaluronic acid

microbiology↗