Biology subjects

Blair, A.

Publications and source records attributed to Blair, A..

14 recordsLinked to original sources

bioRxiv2026

Scalable and rare-variant aware genome inference across the 1kGP cohort

Pangenome graphs built from haplotype-resolved de novo assemblies enable accurate analysis of genetic variation. The short-read-based tool PanGenie efficiently genotypes variants discovered in a pangenome across large cohorts and outper-forms linear reference-based methods for structural variants (SVs). However, it cannot detect novel variants absent from the graph, missing many rare SVs (allele frequency < 1%) and was limited to graphs with 254 haplotypes. First, we introduce a haplotype sampling step that reduces the number of haplotypes using sample-specific k-mers before genotyping, decreasing runtime twelvefold and memory usage 1.4-fold at 30x coverage. Second, we present a polishing work-flow that corrects residual errors in haplotypes inferred from PanGenie genotypes and incorporates rare and private mutations. We genotype 3,202 samples from the 1000 Genomes Project and use low-coverage ONT data (967 samples) for polishing. We achieve a median QV of 46 and provide the 1,934 polished haplotype sequences as a community resource.

bioinformatics↗

bioRxiv2026

Dual targeting a LIN28B:β-catenin axis in acute myeloid leukaemia

BackgroundWnt/{beta}-catenin signalling is dysregulated in acute myeloid leukaemia (AML), where it lacks effective targeting strategies. Previously, we discovered that {beta}-catenin interacts with several RNA-binding proteins (RBP), indicating post-transcriptional influence which is yet to be therapeutically interrogated in AML. MethodsCo-immunoprecipitation confirmed protein interactions, and TCF/LEF reporters were used to assess Wnt signalling output in leukaemia cells. Regulatory crosstalk was assessed using immunoblotting and RT-qPCR approaches following lentiviral transduction of myeloid cell lines. Targeting of {beta}-catenin and LIN28B was tested through combinations of genetic and pharmacological inhibition in AML cells. ResultsThe most frequent RBP-binding motif amongst {beta}-catenin-bound mRNAs was the GGAG motif targeted by oncofetal miRNA-regulating RBP; LIN28B. {beta}-Catenin:LIN28B interactions were detected in lymphoid and myeloid cell lines, plus primary human CD34 fetal-liver HSCs. LIN28B positively regulated Wnt signalling output through LEF1 regulation involving a post-transcriptional let7 miRNA mechanism. Further miRNA sequencing of {beta}-catenin- and LIN28B-depleted myeloid cells revealed potential cooperative and antagonistic function in miRNA regulation. Finally, dual-targeting both {beta}-catenin and LIN28B through either genetic and/or pharmacological means preferentially reduced AML cell viability. ConclusionThe {beta}-catenin:LIN28B axis could represent a novel synthetically lethal relationship in AML which could be exploited in rare subtypes where LIN28B expression becomes reactivated.

cancer biology↗

bioRxiv2026

Monocyte reprogramming by nociceptors impedes T cell-mediated tumor immunity

Nociceptors - peripheral nervous system neurons that trigger the sensation of pain or itch in response to noxious stimuli - can communicate with leukocytes and modulate immune responses in a context-dependent manner1,2. Here, we demonstrate that nociceptors rapidly induce monocytes to adopt an immunosuppressive phenotype, reminiscent of myeloid-derived suppressor cells (MDSCs), which have been linked to impaired anti-tumor immunity. MDSCs are abundant in human bladder cancer, a malignancy where survival is negatively correlated with expression of pro-neurogenic cytokines. Accordingly, in an orthotopic mouse model of urinary bladder carcinoma, incipient tumors promoted dense innervation by nociceptors and infiltration by monocytes that differentiated rapidly into MDSCs. Nociceptors did not affect the development of tumor-specific T cells in draining lymph nodes, but they were essential during the early stages of tumor formation to establish an immunosuppressive tumor microenvironment. Ablation or chemogenetic inhibition of nociceptors prevented the formation of immunosuppressive MDSCs and markedly increased the rate of bladder tumor rejection by T cells. Conversely, monocyte depletion in nociceptor-sufficient mice enabled tumor rejection. Collectively, these findings demonstrate that urothelial tumors co-opt an immunosuppressive neuro-immune axis to evade anti-tumor immunity and identify nociceptors as potential targets for bladder cancer treatment.

immunology↗

bioRxiv2025

TOE1 influences canonical Wnt signalling in myeloid leukaemia cells through LEF-1 modulation and regulates the proliferation of haematopoietic cells through PAK2.

Acute myeloid leukaemia (AML) is an aggressive haematological malignancy characterised by the clonal proliferation of myeloid progenitor cells in the bone marrow and peripheral blood. Dysregulation of the Wnt/{beta}-catenin pathway has been implicated in the establishment and maintenance of leukaemic stem cells in AML, where higher expression of {beta}-catenin promotes clonogenic capacity, drug resistance and inferior survival. The finding that low levels of Wnt signalling are necessary to maintain normal haematopoiesis makes {beta}-catenin an attractive therapeutic target; however, drug design has been hampered by a poor understanding of its molecular interactions in leukaemia cells. To address this, we previously characterised the {beta}-catenin interactome in myeloid cells and identified a plethora of novel interacting proteins. One such interactor was Target of EGR1 (TOE1), a member of the Asp-Glu-Asp-Asp (DEDD) family of deadenylases with previously uncharacterised function in haematopoietic cells. The {beta}-catenin:TOE1 interaction was detected in the nuclear and cytosolic compartments of myeloid cell lines and primary AML samples, and {beta}-catenin depletion was found to promote the cytosolic accumulation of TOE1. Furthermore, TOE1 levels were found to be overexpressed in primary AML blasts versus normal cord-blood derived CD34+ haematopoietic stem and progenitor cells (HSPCs), suggesting that TOE1 levels may be dysregulated in leukaemia. TOE1 depletion abrogated Wnt signalling capacity (TCF/LEF activity), potentially via reduced stability/translatability of the Wnt transcription factor lymphoid enhancing factor 1 (LEF-1). TOE1 depletion further suppressed the proliferation and survival of myeloid leukaemia cell lines (HEL and OCI-AML2) and primary human CD34+ HSPC; however, this could not be fully explained through LEF-1 alone, since OCI-AML2 do not express LEF-1. Using tandem mass tag (TMT)-labelling coupled to mass spectrometry analysis in TOE1 deficient HEL and OCI-AML2 cells, we identified and validated p21 (RAC1) activated kinase 2 (PAK2) as a downregulated target that could reduce the proliferation (but not survival) of AML cell lines. Interestingly, ectopic expression of PAK2 was able to partially rescue the proliferation defect in TOE1 depleted myeloid cell lines and primary human CD34+ HSPC. In summary, these data reveal TOE1 as novel interacting partner for {beta}-catenin in haematological cells capable of modulating Wnt signalling output via LEF-1, and as a novel mediator of growth and survival in human HSPC and AML cells partly through PAK2 regulation.

cancer biology↗

bioRxiv2024

A β-catenin:MSI2 axis regulates the expression of LEF1 and subsequent human haematopoietic stem/progenitor cell proliferation

Wnt/{beta}-catenin signaling is important for normal hematopoietic stem/progenitor cell (HSPC) biology and heavily implicated in acute myeloid leukaemia (AML). The central mediator {beta}-catenin is an attractive therapeutic target in AML however its targeting has been hampered by poor characterisation of its molecular interactions in haematopoietic cells. Our previous {beta}-catenin interactome study identified the significant enrichment of RNA-binding proteins (RBP) implying post-transcriptional roles for {beta}-catenin in myeloid cells. To identify {beta}-catenin-associated mRNAs we performed {beta}-catenin RNA-immunoprecipitation coupled to RNA-sequencing (RIP-seq) and identified significantly enriched Wnt signalling pathway transcripts. Using {beta}-catenin cross-linking immunoprecipitation (CLIP) we demonstrated a limited capacity for {beta}-catenin to bind RNA directly implying dependence on other RBPs. {beta}-Catenin was found to interact with MSI2 in both myeloid cell lines and AML patient samples, where expression was significantly correlated. MSI2 knockdown reduced Wnt signalling output (TCF/LEF activity), through suppression of LEF-1 expression and nuclear localization. Through both RIP and CLIP we demonstrate MSI2 binds LEF1 mRNA in a partly {beta}-catenin dependent fashion, and may impact the post-transcriptional control of LEF-1 expression. Finally, we show that MSI2-mediated expansion of human HSPCs could be partly driven through LEF1 regulation. This is the first study to show functional crosstalk between MSI2 and Wnt signalling in human cells, and indicates potential novel post-transcriptional roles for {beta}-catenin in a haematological context.

cell biology↗

bioRxiv2023

Establishing thresholds for cytokine storm and defining their relationship to disease severity in respiratory viral infections

Previous studies have identified cytokines associated with respiratory virus infection illness outcome. However, few studies have included comprehensive cytokine panels, longitudinal analyses, and/or simultaneous assessment across the severity spectrum. This, coupled with subjective definitions of cytokine storm syndrome (CSS), have contributed to inconsistent findings of cytokine signatures, particularly with COVID severity. Here, we measured 38 plasma cytokines and compared profiles in healthy, SARS-CoV-2 infected, and multisystem inflammatory syndrome in children (MIS-C) patients (n = 169). Infected patients spanned the severity spectrum and were classified as Asymptomatic, Mild, Moderate or Severe. Our results showed acute cytokine profiles and longitudinal dynamics of IL1Ra, IL10, MIP1b, and IP10 can differentiate COVID severity groups. Only 4% of acutely infected patients exhibited hypercytokinemia. Of these subjects, 3 were Mild, 3 Moderate, and 1 Severe, highlighting the lack of association between CSS and COVID severity. Additionally, we identified IL1Ra and TNFa as potential biomarkers for patients at high risk for long COVID. Lastly, we compare hypercytokinemia profiles across COVID and influenza patients and show distinct elevated cytokine signatures, wherein influenza induces the most elevated cytokine profile. Together, these results identify key analytes that, if obtained at early time points, can predict COVID illness outcome and/or risk of complications, and provide novel insight for improving the conceptual framework of hypercytokinemia, wherein CSS is a subgroup that requires concomitant severe clinical manifestations, and including a list of cytokines that can distinguish between subtypes of hypercytokinemia.

immunology↗

bioRxiv2022

Performance of the cobas(R) HBV RNA Automated Investigational Assay for the Detection and Quantification of Circulating HBV RNA in Chronic HBV Patients

BackgroundThe amount of HBV RNA in peripheral blood may reflect HBV covalently closed circular DNA (cccDNA) transcriptional activity within infected hepatocytes. Quantification of circulating HBV RNA (cirB-RNA) is thus a promising biomarker for monitoring antiviral treatment. ObjectivesWe evaluated the performance of an automated, prototype quantitative HBV RNA assay for use on the Roche cobas(R) 6800/8800 systems. Study DesignThe sensitivity, specificity, linearity, and potential interference by HBV DNA of the cobas(R) HBV RNA assay were assessed using synthetic HBV armored RNA and clinical specimens. Resultscobas(R) HBV RNA results were linear between 10 and 107 copies/mL in clinical samples of several HBV genotypes, and up to 109 copies/mL with synthetic RNA. Precision and reproducibility were excellent, with standard deviation below 0.15 log10 copies/mL and coefficients of variation below 5% throughout the linear range. The presence of HBV DNA had minimal (<0.3 log10 copies/mL) impact on HBV RNA quantification at DNA:RNA ratios of up to approximately one million. In a panel of 36 untreated patient samples, cirB-RNA concentrations were approximately 200-fold lower than HBV DNA. cirB-RNA was detected in all 13 HBeAg-positive patients (mean 6.0 log10 copies/mL), and in 20 of 23 HBeAg-negative patients (mean of quantifiable samples 2.2 log10 copies/mL). Finally, cirB-RNA was detected in 12 of 20 nucleoside analog-treated patients (mean of quantifiable samples 3.4 log10 copies/mL). ConclusionsThe cobas(R) 6800/8800 investigational HBV RNA assay is a high throughput, sensitive and inclusive assay to evaluate the clinical relevance of cirB-RNA quantification in patients with chronic hepatitis B.

microbiology↗

bioRxiv2021

Crosstalk between β-catenin and WT1 signalling activity in acute myeloid leukemia

Wnt signalling is an evolutionary conserved signal transduction pathway heavily implicated in normal development and disease. The central mediator of this pathway, {beta}-catenin, is frequently overexpressed, mislocalised and overactive in acute myeloid leukaemia (AML) where it mediates the establishment, maintenance and drug resistance of leukaemia stem cells. Critical to the stability, localisation and activity of {beta}-catenin are the protein-protein interactions it forms, yet these are poorly defined in AML. We recently performed the first {beta}-catenin interactome study in blood cells of any kind and identified a plethora of novel interacting partners. This study shows for the first time that {beta}-catenin interacts with Wilms tumour protein (WT1), a protein frequently overexpressed and mutated in AML, in both myeloid cell lines and also primary AML samples. We demonstrate crosstalk between the signalling activity of these two proteins in myeloid cells, and show that modulation of either protein can affect expression of the other. Finally, we demonstrate that WT1 mutations frequently observed in AML can increase stabilise {beta}-catenin and augment Wnt signalling output. This study has uncovered new context-dependent molecular interactions for {beta}-catenin which could inform future therapeutic strategies to target this dysregulated molecule in AML. Article summaryO_LI{beta}-Catenin is frequently dysregulated in acute myeloid leukemia (AML) and protein interactions govern its stability, localization and activity, but these are poorly defined in AML. C_LIO_LIThis study shows for the first time that {beta}-catenin and Wilms tumour protein (WT1) interact and influence each others expression level and signalling activity in AML cells, which could inform future therapeutic strategies. C_LI

cancer biology↗

bioRxiv2020

Cell Layers: Uncovering clustering structure and knowledge in unsupervised single-cell transcriptomic analysis

MotivationUnsupervised clustering of single-cell transcriptomics is a powerful method for identifying cell populations. Static visualization techniques for single-cell clustering only display results for a single resolution parameter. Analysts will often evaluate more than one resolution parameter, but then only report one. ResultsWe developed Cell Layers, an interactive Sankey tool for the quantitative investigation of gene expression, coexpression, biological processes, and cluster integrity across clustering resolutions. Cell Layers enhances the interpretability of single-cell clustering by linking molecular data and cluster evaluation metrics, to provide novel insight into cell populations. Availability and implementationUpon request

bioinformatics↗

bioRxiv2020

Mucosal-associated invariant T (MAIT) cells mediate protective host responses in sepsis

Sepsis is a systemic inflammatory response to infection and a leading cause of death. Mucosal-associated invariant T (MAIT) cells are innate-like T cells enriched in mucosal tissues that recognize bacterial ligands. We investigated MAIT cells during clinical and experimental sepsis, and their contribution to host responses. In experimental sepsis, MAIT-deficient mice had significantly increased mortality and bacterial load, and reduced tissue-specific cytokine responses. MAIT cells of WT mice expressed lower levels of IFN-{gamma} and IL-17a during sepsis compared to sham surgery, changes not seen in non-MAIT T cells. MAIT cells of patients presenting with sepsis were significantly reduced in frequency, more activated, and had decreased IFN-{gamma} production when stimulated, compared to healthy donors and paired 90-day post-sepsis samples. Our data suggest that MAIT cells are highly activated and become dysfunctional during clinical sepsis, and contribute to tissue-specific cytokine responses that are protective against mortality during experimental sepsis.

physiology↗

bioRxiv2019

Cross-Species Alignment of Single Cell States with Biological Process Activity

The maintenance and transition of cellular states are controlled by biological processes. Here we present a gene set-based transformation of single cell RNA-Seq data into biological process activities that provides a robust description of cellular states. Moreover, as these activities represent species-independent descriptors, they facilitate the alignment of single cell states across different organisms.

systems biology↗

bioRxiv2018

Bipolar Switching by HCN Voltage Sensor Underlies Hyperpolarization Activation.

Despite sharing a common architecture with archetypal voltage-gated ion channels (VGIC), the hyperpolarization- and cyclic AMP-activated ion (HCN) channels open upon hyperpolarization rather than depolarization. The basic motions of voltage sensor and pore gates are conserved implying that these domains are inversely coupled in HCN channels. Using structure-guided protein engineering, we systematically assembled an array of mosaic channels that display the full complement of voltage-activation phenotypes observed in the VGIC superfamily. Our studies reveal that the voltage-sensing S3b-S4 transmembrane segment of the HCN channel has an intrinsic ability to drive pore opening in either direction. Specific contacts at the pore-voltage sensor interface and unique interactions near the pore gate forces the HCN channel into a hERG-like inactivated state, thereby obscuring their opening upon depolarization. Our findings reveal an unexpected common principle underpinning voltage gating in the VGIC superfamily and identify the essential determinants of gating polarity.

neuroscience↗

bioRxiv2018

Predicting One-Year Outcome in First Episode Psychosis using Machine Learning

Lay SummaryO_ST_ABSEvidence before this studyC_ST_ABSOur knowledge of factors which predict outcome in first episode psychosis (FEP) is incomplete. Poor premorbid adjustment, history of developmental disorder, symptom severity at baseline and duration of untreated psychosis are the most replicated predictors of poor clinical, functional, cognitive, and biological outcomes. Yet, such group level differences are not always replicated in individuals, nor can observational results be clearly equated with causation. Advanced machine learning techniques have potential to revolutionise medicine by looking at causation and the prediction of individual patient outcome. Within psychiatry, Koutsouleris et al employed machine learning to predict 4- and 52-week functional outcome in FEP to a 75% and 73.8% test-fold balanced accuracy on repeated nested internal cross-validation. The authors suggest that before employing a machine learning model \"into real-world care, replication is needed in external first episode samples\".\n\nAdded value of this studyWe believe our study to be the first externally validated evidence, in a temporally and geographically independent cohort, for predictive modelling in FEP at an individual patient level. Our results demonstrate the ability to predict both symptom remission and functioning (in employment, education or training (EET)) at one-year. The performance of our EET model was particularly robust, with an ability to accurately predict the one-year EET outcome in more than 85% of patients. Regularised regression results in sparse models which are uniquely interpretable and identify meaningful predictors of recovery including specific individual PANSS items, and social support. This builds on existing studies of group-level differences and the elegant work of Koutsouleris et al.\n\nImplications of all the available evidenceWe have demonstrated the externally validated ability to accurately predict one-year symptomatic and functional status in individual patients with FEP. External validation in a plausibly related temporally and geographically distinct population assesses model transportability to an untested situation rather than simply reproducibility alone. We propose that our results represent important and exciting progress in unlocking the potential of predictive modelling in psychiatric illness. The next step prior to implementation into routine clinical practice would be to establish whether, by the accurate identification of individuals who will have poor outcomes, we can meaningful intervene to improve their prognosis.\n\nAbstractO_ST_ABSBackgroundC_ST_ABSEarly illness course correlates with long-term outcome in psychosis. Accurate prediction could allow more focused intervention. Earlier intervention corresponds to significantly better symptomatic and functional outcomes.\n\nWe use routinely collected baseline demographic and clinical characteristics to predict employment, education or training (EET) status, and symptom remission in patients with first episode psychosis (FEP) at 1 year.\n\nMethods83 FEP patients were recruited from National Health Service (NHS) Glasgow between 2011 and 2014 to a 24-month prospective cohort study with regular assessment of demographic and psychometric measures. An external independent cohort of 79 FEP patients were recruited from NHS Glasgow and Edinburgh during a 12-month study between 2006 and 2009.\n\nElastic net regularised logistic regression models were built to predict binary EET status, period and point remission outcomes at 1 year on 83 Glasgow patients (training dataset). Models were externally validated on an independent dataset of 79 patients from Glasgow and Edinburgh (validation dataset). Only baseline predictors shared across both cohorts were made available for model training and validation.\n\nOutcomesAfter excluding participants with missing outcomes, models were built on the training dataset for EET status, period and point remission outcomes and externally validated on the validation dataset. Models predicted EET status, period and point remission with ROC area under curve (AUC) performances of 0.876 (95%CI: 0.864, 0.887), 0.630 (95%CI: 0.612, 0.647) and 0.652 (95%CI: 0.635, 0.670) respectively. Positive predictors of EET included baseline EET and living with spouse/children. Negative predictors included higher PANSS suspiciousness, hostility and delusions scores. Positive predictors for symptom remission included living with spouse/children, and affective symptoms on the Positive and Negative Syndrome Scale (PANSS). Negative predictors of remission included passive social withdrawal symptoms on PANSS.\n\nInterpretationUsing advanced statistical machine learning techniques, we provide the first externally validated evidence for the ability to predict 1-year EET status and symptom remission in FEP patients.\n\nFundingThe authors acknowledge financial support from NHS Research Scotland, the Chief Scientist Office, the Wellcome Trust, and the Scottish Mental Health Research Network.

neuroscience↗

bioRxiv2017

Metagenomic characterization of the effect of feed additives on the gut microbiome and antibiotic resistome of feedlot cattle

In North America, antibiotic feed additives such as monensin and tylosin are added to the finishing diets of feedlot cattle to counter the ill-effects of feeding diets with rapidly digestible carbohydrates. While these feed additives have been proven to improve feed efficiency, and reduce liver abscess incidence, how these products impact the gastrointestinal microbiota is not completely understood. Furthermore, there are concerns that antibiotic feed additives may expand the antibiotic resistome of feedlot cattle by enriching antimicrobial resistance genes in pathogenic and nonpathogenic bacteria in the gut microbiota. In this study, we analyzed the impact of providing antibiotic feed additives to feedlot cattle using metagenome sequencing of treated and untreated animals. Our results indicate that use of antibiotic feed additives does not produce discernable changes at the phylum level however treated cattle had reduced the abundance of gram-positive bacteria at the genus level. The abundance of Ruminococcus, Erysipelotrichaceae and Lachanospira in the gut of treated steers was reduced. This may impact the ability of these animals to exclude pathogens from the gut. However, our results did not show any correlation between the presence of antimicrobial resistance genes in the gut microbiota and the administration of antibiotic feed additives.

microbiology↗