Biology subjects

Young, S.

Publications and source records attributed to Young, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Tuft dendrite spikes are accompanied by selective input from distinct functional networks

The tuft dendrites of layer 5 neurons can support regenerative events - dendritic spikes - that have been proposed to coordinate context-specific engagement and plasticity within cortical networks. However, it remains unclear whether tuft spikes are accompanied by input activity with dynamics that could support these network-level functions. To address this, glutamatergic synapses and postsynaptic calcium signals were simultaneously imaged in the tuft dendrites of layer 5 extratelencephalic neurons within the premotor cortex of mice performing a cued directional licking task. Trial-to-trial, the generation of tuft spikes was associated with a multiphasic elevation in synaptic activity spanning hundreds of milliseconds. This activity was highly specific to the dendrite in which a spike was detected, suggesting the concurrent activation of select subnetworks. Synapses that were strongly coupled to the overall population were the most synchronized with tuft spikes and preferentially encoded the transition between the preparation and action epochs of the task. Even among these strongly coupled synapses, increases in activity were largely specific to synapses located on the spiking dendrite. Surprisingly, among synapses with the poorest population coupling, a second population of coactive synapses was discovered that was also associated with tuft spikes and functionally selective for task-outcome. These results suggest that tuft spikes may be particularly driven by inputs from neurons that are both embedded in sparse subnetworks and synchronized through coupling to larger-scale functional networks. Significance StatementFlexible behavior and learning may depend on interactions between activity in different brain networks and dendritic spikes generated within the neurons that make up the output layer of the neocortex. The results of this study indicate that at the moment of spike generation, spikes in different dendrites are associated with the activation of very specific networks. Yet, across time, the inputs most associated with dendritic spikes are broadly coactive and share selectivity for similar features of behavior. This suggests that dendritic spikes may be particularly driven by the activation of "hub" neurons that coordinate communication between large-scale and small-scale functional networks.

neuroscience↗

bioRxiv2026

Endolysosomal damage promotes intraluminal protein condensate formation that limits cytosolic leakage

Endolysosomal membrane damage is a detrimental process in mammalian cells that results in leakage of the luminal contents into the cytosol. However, the nature and extent of the leakage during membrane damage is unknown. Here, we show that endomembrane damage induces the rapid formation of intraluminal condensates in endolysosomes. A subset of resident luminal proteins undergo spatially coordinated condensation upon endomembrane damage. Electron microscopy reveals distinct luminal morphology, and cryo-electron tomography confirms the condensed ultrastructure in their native state. Condensate formation occurs across mechanistically distinct modes of membrane injury and is reversibly dissociated upon lysosomal recovery. Remarkably, these condensates impose a previously unrecognised barrier to endolysosomal escape of therapeutic oligonucleotides. Despite endomembrane damage, luminal oligonucleotide therapeutics are sequestered in damaged endolysosomes through condensate-mediated biophysical immobilisation. Targeting condensate sequestration could represent a novel strategy to improve oligonucleotide-based therapeutics.

cell biology↗

bioRxiv2026

Cortical reconstruction and anatomical parcellation of high-resolution multi-modal postmortem ex vivo MRI of the human infant brain

High-resolutionpostmortemmagneticresonanceimagingen- ables detailed examination of brain anatomy at spatial scales not achiev- able in vivo and provides a unique opportunity to link morphomet- ric measurements with the underlying pathology. Despite these advan- tages, robust computational tools for automated anatomical segmen- tation and cortical surface reconstruction remain limited, particularly in postmortem infant brains. Incomplete myelination, thinner cortical ribbons, small-scale neuroanatomy, evolving tissue contrast, fixation- induced signal alterations, and variability in postmortem preparation make standard neuroimaging pipelines unsuitable for postmortem in- fant MRI. In this work, we introduce a unique high-resolution multi- sequence postmortem infant MRI dataset and a unified computational framework that combines deep learning-based volumetric segmentation with surface-based cortical reconstruction and anatomical parcellation in native subject-space resolution. The framework is designed to general- ize across diverse postmortem MRI acquisition protocols, spatial resolu- tions, tissue preparation conditions, and specimen characteristics while remaining robust to substantial variability in image contrast, tissue de- formation, fixation-induced intensity changes, background signal char- acteristics, and anatomical variability encountered in postmortem in- fant MRI. We benchmark our framework against widely used contrast- agnostic and foundational brain segmentation models, demonstrating improved anatomical consistency and segmentation performance across heterogeneous high-resolution postmortem infant datasets. Our method enables morphometric analysis in native postmortem space, providing the same downstream quantitative analyses routinely available for in vivo developmental neuroimaging. The complete framework is released as open-source software with command-line workflows, containers, and comprehensive documentation to facilitate reproducible postmortem in- fant MRI analysis as part of the purple-mri package: https://purple-mri.readthedocs.io

neuroscience↗

bioRxiv2026

MYC pathway reprogramming through a TIP60 coactivator switch in neuroendocrine lineage transition in prostate cancer

Prostate adenocarcinomas (PRAD) can acquire resistance to androgen receptor signaling inhibitors through lineage transition to a cell state known as neuroendocrine prostate cancer (NEPC). Using a panel of isogenic PRAD and NEPC mouse tumoroids, we show that NEPC cells acquire new transcription factor (TF) dependencies that function in a previously undefined network. Through selective perturbation of each TF, we identify ASCL1 as a key regulator of NE lineage fate whereas MYCL functions downstream to drive NEPC growth/survival by recruitment of the TIP60/KAT5 acetyltransferase. Interestingly, while dependencies on specific TF family paralogs can vary across NEPC models, all show markedly enhanced dependency on TIP60. Moreover, the H2A.Z-acetyltransferase activity of the TIP60 complex (TIP60-C) is required for NEPC as well as the acetyl-reader BRD8, which is newly incorporated as a TIP60-C subunit with the NEPC transition. Targeted degradation studies in isogenic tumoroids reveal increased dependence on MYCL in NEPC relative to its paralog MYC in PRAD. In addition to a paralog switch (MYC to MYCL), the MYC pathway-addicted NE state is accompanied by a chaperone switch (from TIP60-C to SRCAP) for H2A.Z histone exchange and a coactivator switch (to TIP60) for MYC target gene expression. The NE-specific coupling of MYCL with TIP60 reveals a previously unappreciated opportunity to target MYC-driven NE diseases through pharmacological inhibition of TIP60.

cancer biology↗

bioRxiv2026

Distinct sensorimotor encoding in tuft dendrites and somata associated with action, correction, and learning

Frontal cortex plays critical roles in action control and motor skill learning. Within the layer 1 apical tuft dendrites of layer 5 (L5) neurons in frontal cortex, precise input patterns and back-propagating action potentials can trigger powerful regenerative events that may be essential for flexible computation and learning. However, it remains unclear whether tuft activity in frontal cortical L5 circuits encodes sensorimotor information that differs from the information conveyed by their outputs to downstream targets. Using longitudinal two-photon calcium imaging, we investigated sensorimotor encoding in the apical tuft dendrites and somata of L5 extratelencephalic (ET) neurons in the frontal cortex of mice during learning of a discrete change to a cued dexterous action. During learning, movement errors either triggered corrective action or did not, allowing us to dissociate error signals from signals selective for corrective action. Somatic activity tracked both instructional cues and action, whereas tuft activity predominantly tracked instructional cues. Movement errors during learning revealed additional distinct tuft activity that was selectively associated with corrective actions. Furthermore, learning induced divergent changes in the response gain and net selectivity of tuft dendrites compared to somata. Our measurements uncover systematic differences between the tuft dendrites and somata in sensorimotor selectivity, sensitivity to corrective action, and functional plasticity, providing a foundation for investigating the contributions of dendritic computation to motor skill learning.

neuroscience↗

bioRxiv2026

Automated Multimodal Correlative Registration for Organelle-Specific Molecular Imaging

Mapping subcellular drug distribution is essential for understanding trafficking and off-target effects. NanoSIMS enables chemical imaging of labeled therapeutics, but signal interpretation requires ultrastructural correlation with electron microscopy, a manual and laborious process. We present an automated AI-driven pipeline for correlating chemical and ultrastructural images, enabling multiscale, organelle-precise imaging of molecules in cells and tissues. The method integrates bidirectional optical flow, confidence-guided affine transformation, and automated template matching for cross-scale EM alignment. Morphology-rich ion channels (e.g., 32S) estimate transformations that propagate to sparse therapeutic signals (e.g., 79Br, 15N), overcoming low signal-to-noise challenges. We validate this framework across diverse cell and tissue types, tracking oligonucleotide and antibody therapeutics in vitro and in vivo to reveal cell-type- and organelle-specific distribution patterns. This work establishes a generalizable platform for automated multimodal registration and organelle-resolved subcellular pharmacology.

bioinformatics↗

bioRxiv2026

Comparative lipidomic profiling of the livestock pathogens Trypanosoma congolense and Trypanosoma brucei

African Animal Trypanosomosis (AAT) is a disease affecting domestic animals, in particular cattle, in sub-Saharan Africa, resulting in billion-dollar losses annually. New drugs to combat and control AAT are urgently required, yet few treatment candidates are currently on the horizon. This can be attributed, in part, to the relative challenges associated with culturing the clinically relevant parasite species in a laboratory environment. Particularly, effective culture of bloodstream form Trypanosoma congolense, the trypanosome species responsible for a large proportion of AAT disease in cattle, requires the use of goat serum, whilst T. brucei is typically cultured in FBS-supplemented culture. This constrains in vitro studies on biology, especially comparative analyses between AAT-causing species. The differing serum supplementation requirements of these two trypanosome species point to metabolic distinctions, which may be important considerations in developing experimental systems to enable the identification and design of novel, pan-species therapies. In this study, untargeted LC-MS lipidomics analyses were conducted to determine the relative lipidomic profiles of T. congolense and T. brucei bloodstream form parasites. Employing a new media formulation that permits effective in vitro culture of both species, it was possible to establish that their global lipidomic profiles are distinct. Notably, T. congolense exhibits a relatively low abundance of ether phospholipids compared to T. brucei, whilst also possessing an enrichment of long-chain polyunsaturated fatty acids (PUFAs). These observations indicate that there are significant differences in the ways these parasites synthesise and remodel their lipid complement, highlighting an evolutionary divergence between the species that likely carries implications for host-pathogen interactions as well as trypanosome membrane biology. Furthermore, this study demonstrates that fine-tuning fatty acid supplementation may aid in optimising a universal medium suited for multiple species of AAT parasites. SummaryMultiple species of protozoan parasites can cause African Animal Trypanosomosis (AAT) in livestock and other animals. However, AAT research has largely centred on a single species, Trypanosoma brucei, partially due to the comparative difficulties in sustaining the other economically important parasite species - Trypanosoma congolense and Trypanosoma vivax - in laboratory culture. In this work, we aimed to determine whether distinctions in use of lipids between T. brucei and T. congolense explains their differing in vitro culture requirements. Using a newly designed media formulation, it was possible to culture mammalian-infective forms of both parasite species under identical conditions, enabling direct comparison of their lipidome - a complete inventory of the different fats and lipids the cells contain. We demonstrate that the T. congolense lipidome significantly differs from that of T. brucei, and that T. congolense shows a preference for longer, more unsaturated lipids. These differences are likely to underlie species-specific differences observed during host infections. Furthermore, our work demonstrates that understanding the lipid biology of protozoan parasites aids in optimisation of laboratory culturing conditions, thereby facilitating further research into these understudied pathogens, including the development of new therapies.

microbiology↗

bioRxiv2026

ENPP1 buffers extracellular cGAMP in brown adipose tissue to limit insulin resistance

The ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1) has long been linked with metabolic diseases, with the common ENPP1 K173Q (historically K121Q) variant conferring increased risk for type 2 diabetes (T2D). However, the mechanistic basis of this association has remained unclear. Here, we demonstrate that the K173Q variant has decreased cGAMP hydrolysis activity, suggesting that this loss of enzymatic function could contribute to its pathogenesis. Using a cGAMP-hydrolysis-deficient knock-in mouse (Enpp1H362A), we show that selective loss of this activity leads to a primary defect in energy expenditure and exacerbates high-fat diet (HFD)-induced weight gain and insulin resistance. An unbiased in vivo glucose-uptake screen reveals brown adipose tissue (BAT) as a focal site of metabolic impairment, characterized by profound extracellular cGAMP accumulation and a selective failure of insulin-stimulated glucose uptake. Mechanistically, we demonstrate that nutrient excess drives mitochondrial DNA leakage in brown adipocytes, triggering cGAMP production and export. Excess cGAMP directly propagates STING-dependent suppression of glucose uptake and lipogenesis in brown adipocytes. Additionally, when ENPP1-mediated clearance is compromised, extracellular cGAMP acts as a paracrine immunotransmitter that remodels the BAT microenvironment by recruiting and polarizing macrophages toward an M1-like phenotype. Together, our findings nominate the impaired ENPP1-dependent buffering of extracellular cGAMP as one mechanism by which ENPP1 variants influence metabolic homeostasis.

immunology↗

bioRxiv2026

Facilitating Mindfulness Training with Ultrasonic Neuromodulation

Systematic focus training is increasingly recognized for its therapeutic benefits, with equanimity, the ability to maintain an open and accepting attitude towards all experience, identified as a critical mechanism for improving well-being. Physiologically, experienced meditators demonstrate reduced activity in the posterior cingulate cortex (PCC), a hub of the default mode network (DMN), and increased segregation between the DMN and the central executive network (CEN). This study investigated whether non-invasive neuromodulation could facilitate these neural and behavioral shifts in novice practitioners. We conducted a single-blind, randomized controlled trial with 24 meditation-naive participants who engaged in a two-week "Body Focus" mindfulness training program. Participants were randomized to receive either active (n=16) or sham (n=8) suppressive transcranial focused ultrasound (tFUS) targeting the PCC during four in-person meditation sessions. Resting-state fMRI analysis revealed a robust Condition x Session interaction in functional connectivity. While the sham group showed a trend toward increased coupling, the active tFUS group demonstrated significant decoupling (increased segregation) between the DMN and CEN, a pattern characteristic of advanced meditators. Subnetwork analysis indicated these effects were driven primarily by the decoupling of the core self-referential system in DMN (DMNA) from the external-oriented control system of the CEN (CENB). Behaviorally, greater reductions in DMN-CEN connectivity within the active group predicted larger increases in self-reported acceptance and longer duration of voluntary meditation practice. These findings suggest that tFUS targeting the PCC can acutely redirect neuroplastic trajectories during early mindfulness training, potentially accelerating the acquisition of equanimity and distinct network configurations associated with effortless awareness. Significance StatementThis study demonstrates that transcranial focused ultrasound (tFUS) targeting the posterior cingulate cortex (PCC) can synergistically enhance mindfulness training in novices. By inducing a robust decoupling between the default mode and central executive networks - a neural signature typically acquired only after hundreds of hours of practice - this intervention effectively redirected the neural trajectory of novice practitioners toward that of experienced meditators in just two weeks. These findings suggest that targeted neuromodulation can bypass early obstacles in meditation practice, offering a promising "precision wellness" avenue for accelerating the acquisition of equanimity and its associated well-being benefits.

neuroscience↗

bioRxiv2026

Pan-cell-type prediction of splicing patterns from sequence and splicing factor expression

AO_SCPLOWBSTRACTC_SCPLOWAlternative splicing is a core determinant of cell-type-specific gene expression in humans, and its dysregulation contributes to many diseases including neurodegeneration, autoimmunity, and cancer. However, current deep learning models for predicting RNA expression from sequence are limited in how they handle cellular context dependence. These models typically achieve cell-type specificity by training separate models or heads for each tissue or cell-type, which assumes discrete, predefined cell types. This design not only prevents learning from pathological or experimentally perturbed transcriptomes, but also prevents generalization to new cellular contexts. Here we introduce PanExonNet, a deep learning framework that integrates cis- and trans-regulation by conditioning sequence-based splicing predictions on an inferred "splicing state" derived from the expression of RNA-binding proteins (RBPs) and spliceosome components. PanExonNet is trained on diploid, individual-specific gene sequences containing indels to predict splicing profiles derived from short-read RNA-seq, and it outputs multiple tracks at single-nucleotide resolution as well as donor-acceptor junction usage. Compared to multi-headed baselines such as Borzoi and Pangolin, PanExonNet exhibits substantially higher context specificity--as quantified by a {Delta}PSI correlation metric designed to isolate context-specific variation--and, crucially, generalizes to unseen cell types. Adding perturbational knockdown followed by RNA sequencing (KD-RNA-seq) data to the training set further improves generalization. This performance is enabled in part by our introduction of contextualizable convolutions, a modular layer that may broadly benefit genomic sequence modeling. This framework provides a scalable foundation for future DNA-to-RNA models that could improve variant effect prediction, the design of oligonucleotide therapeutics, and biomarker discovery across diverse cellular contexts.

genomics↗

bioRxiv2025

A cytochrome P450 G subfamily member, CYP4G35, is highly expressed in antennae and modulates olfactory response in Aedes aegypti mosquitoes.

The cytochrome P450 enzymes of the CYP4G subfamily are some of the most enigmatic insect P450s. The dipterans with sequenced genomes have two CYP4G paralogs. In Drosophila melanogaster, CYP4G1 is highly expressed in the oenocytes and catalyzes the last enzymatic step in the biosynthesis of cuticular hydrocarbons. In contrast, CYP4G15 is expressed in the brain glial cells, but its function is unknown. The Aedes aegypti genome encodes two CYP4Gs: CYP4G36 (ortholog of DmCYP4G1) and CYP4G35 (ortholog of DmCYP4G15). Here, we show that CYP4G35 is highly expressed in mosquito antennae, and the RNAi knockdown of CYP4G35 results in delayed host-seeking. Ae. aegypti CYP4G knockout lines confirmed delayed host-seeking behavior in CYP4G35 knockout females. Proteomics analysis of CYP4G35 KO females also corroborates the physiological findings and shows upregulation of proteins related to olfaction and other CYP4Gs to compensate for the lack of CYP4G35. Immunohistochemistry and in situ hybridization were used to localize CYP4G35 and demonstrated its expression in the sensilla lymph of the antennae and the tip of the proboscis. CYP4G35 and CYP4G36 fusion proteins with cytochrome P450 reductase demonstrated that, unlike CYP4G36, CYP4G35 lacks an oxidative decarbonylase function. Together, our data support a novel function of CYP4G35 in modulating olfactory response.

molecular biology↗

bioRxiv2025

Exploring Spike-Dependent and ACE2-Independent Viral Entry into Salivary Epithelial Cells in the Absence of ACE2

Salivary gland infection by SARS-CoV-2 requires viral entry via routes and mechanisms that remain unresolved. This study examined the expression of the angiotensin- converting enzyme 2 (ACE2) receptor in salivary tissues and basal cell-derived human salivary progenitor cells (hS/PCs), an unstudied potential entry point for SARS-CoV-2. Multiple detection modalities, including immunocytochemistry, western blotting, flow cytometry and RT- PCR, demonstrated a consistent lack of ACE2 protein and transcript in both tissue specimens and primary salivary epithelial cells. Antigen retrieval at pH 9 was determined to be optimal for immunodetection protocols, yet ACE2 remained undetectable. Small intestine tissue served as a positive control, confirming the validity of the methods and reagents we used. Considering there can be other receptors for SARS-CoV-2, flow cytometric analyses demonstrated that recombinant SARS-CoV-2 spike protein failed to bind to salivary epithelial cells, in contrast to HEK293 cells engineered to overexpress ACE2, which showed robust spike binding. These findings strongly support our conclusion that salivary cells do not serve as major targets for SARS-CoV-2 infection via ACE2 or spike protein, whether through direct exposure to viral particles in ductal fluids or via access to basal cells across the basement membrane.

cell biology↗

bioRxiv2024

T cell cholesterol transport is a metabolic checkpoint that links intestinal immune responses to dietary lipid absorption

The intrinsic pathways that control membrane organization in immune cells and the impact of such pathways on cellular function are not well defined. Here we report that the non-vesicular cholesterol transporter Aster-A links plasma membrane (PM) cholesterol availability in T cells to immune signaling and systemic metabolism. Aster-A is recruited to the PM during T-cell receptor (TCR) activation, where it facilitates the removal of newly generated "accessible" membrane cholesterol. Loss of Aster-A leads to excess PM cholesterol accumulation, resulting in enhanced TCR nano-clustering and signaling, and Th17 cytokine production. Finally, we show that the mucosal Th17 response is restrained by PM cholesterol remodeling. Ablation of Aster-A in T cells leads to enhanced IL-22 production, reduced intestinal fatty acid absorption, and resistance to diet-induced obesity. These findings delineate a multi-tiered regulatory scheme linking immune cell lipid flux to nutrient absorption and systemic physiology.

physiology↗

bioRxiv2024

Blood flow regulates acvrl1 transcription via ligand-dependent Alk1 activity

Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant disease characterized by the development of arteriovenous malformations (AVMs) that can result in significant morbidity and mortality. HHT is caused primarily by mutations in bone morphogenetic protein receptors ACVRL1/ALK1, a signaling receptor, or endoglin (ENG), an accessory receptor. Because overexpression of Acvrl1 prevents AVM development in both Acvrl1 and Eng null mice, enhancing ACVRL1 expression may be a promising approach to development of targeted therapies for HHT. Therefore, we sought to understand the molecular mechanism of ACVRL1 regulation. We previously demonstrated in zebrafish embryos that acvrl1 is predominantly expressed in arterial endothelial cells and that expression requires blood flow. Here, we document that flow dependence exhibits regional heterogeneity and that acvrl1 expression is rapidly restored after reinitiation of flow. Furthermore, we find that acvrl1 expression is significantly decreased in mutants that lack the circulating Alk1 ligand, Bmp10, and that BMP10 microinjection into the vasculature in the absence of flow enhances acvrl1 expression in an Alk1-dependent manner. Using a transgenic acvrl1:egfp reporter line, we find that flow and Bmp10 regulate acvrl1 at the level of transcription. Finally, we observe similar ALK1 ligand-dependent increases in ACVRL1 in human endothelial cells subjected to shear stress. These data suggest that Bmp10 acts downstream of blood flow to maintain or enhance acvrl1 expression via a positive feedback mechanism, and that ALK1 activating therapeutics may have dual functionality by increasing both ALK1 signaling flux and ACVRL1 expression.

developmental biology↗

bioRxiv2024

Pharmacogenomic discovery of genetically targeted cancer therapies optimized against clinical outcomes

Despite the clinical success of dozens of genetically targeted cancer therapies, the vast majority of patients with tumors caused by loss-of-function (LoF) mutations do not have access to these treatments. This is primarily due to the challenge of developing a drug that treats a disease caused by the absence of a protein target. The success of PARP inhibitors has solidified synthetic lethality (SL) as a means to overcome this obstacle. Recent mapping of SL networks using pooled CRISPR-Cas9 screens is a promising approach for expanding this concept to treating cancers driven by additional LoF drivers. In practice, however, translating signals from cell lines, where these screens are typically conducted, to patient outcomes remains a challenge. We developed a pharmacogemic (PGx) approach called "Clinically Optimized Driver Associated PGx" (CODA-PGx) that accurately predicts genetically targeted therapies with clinical-stage efficacy in specific LoF driver contexts. Using approved targeted therapies and cancer drugs with available real-world evidence and molecular data from hundreds of patients, we discovered and optimized the key screening principles predictive of efficacy and overall patient survival. In addition to establishing basic technical conventions, such as drug concentration and screening kinetics, we found that replicating the driver perturbation in the right context, as well as selecting patients where those drivers are genuine founder mutations, were key to accurate translation. We used CODA-PGX to screen a diverse collection of clinical stage drugs and report dozens of novel LoF genetically targeted opportunities; many validated in xenografts and by real-world evidence. Notable examples include treating STAG2-mutant tumors with Carboplatin, SMARCB1-mutant tumors with Oxaliplatin, and TP53BP1-mutant tumors with Etoposide or Bleomycin. One Sentence SummaryWe identified principles of pharmacogenomic screening that predict clinical efficacy in cancer patients with specific driver mutations.

cancer biology↗

bioRxiv2023

Durable immunity to SARS-CoV-2 in both lower and upper airways achieved with a gorilla adenovirus (GRAd) S-2P vaccine in non-human primates

SARS-CoV-2 continues to pose a global threat, and current vaccines, while effective against severe illness, fall short in preventing transmission. To address this challenge, theres a need for vaccines that induce mucosal immunity and can rapidly control the virus. In this study, we demonstrate that a single immunization with a novel gorilla adenovirus-based vaccine (GRAd) carrying the pre-fusion stabilized Spike protein (S-2P) in non-human primates provided protective immunity for over one year against the BA.5 variant of SARS-CoV-2. A prime-boost regimen using GRAd followed by adjuvanted S-2P (GRAd+S-2P) accelerated viral clearance in both the lower and upper airways. GRAd delivered via aerosol (GRAd(AE)+S-2P) modestly improved protection compared to its matched intramuscular regimen, but showed dramatically superior boosting by mRNA and, importantly, total virus clearance in the upper airway by day 4 post infection. GrAd vaccination regimens elicited robust and durable systemic and mucosal antibody responses to multiple SARS-CoV-2 variants, but only GRAd(AE)+S-2P generated long-lasting T cell responses in the lung. This research underscores the flexibility of the GRAd vaccine platform to provide durable immunity against SARS-CoV-2 in both the lower and upper airways.

immunology↗

bioRxiv2023

An immunohistochemical atlas of necroptotic pathway expression

Necroptosis is a lytic form of regulated cell death reported to contribute to inflammatory diseases of the gut, skin and lung, as well as ischemic-reperfusion injuries of the kidney, heart and brain. However, precise identification of the cells and tissues that undergo necroptotic cell death in vivo has proven challenging in the absence of robust protocols for immunohistochemical detection. Here, we provide automated immunohistochemistry protocols to detect core necroptosis regulators - Caspase-8, RIPK1, RIPK3 and MLKL - in formalin-fixed mouse and human tissues. We observed surprising heterogeneity in protein expression within tissues, whereby short-lived immune barrier cells were replete with necroptotic effectors, whereas long-lived cells lacked RIPK3 or MLKL expression. Local changes in the expression of necroptotic effectors occurred in response to insults such as inflammation, dysbiosis or immune challenge, consistent with necroptosis being dysregulated in disease contexts. These methods will facilitate the precise localisation and evaluation of necroptotic signaling in vivo. HighlightsO_LI13 automated immunohistochemistry protocols for detecting the necroptotic pathway C_LIO_LINecroptotic pathway expression is confined to fast-cycling immune barriers C_LIO_LINecroptotic pathway expression changes at sites of immunoinflammatory challenge C_LIO_LIImmunodetection of necrosomes in IBD patients is a putative new diagnostic tool C_LI

cell biology↗

bioRxiv2023

Zebrafish acta1b as a Candidate for Modelling Human Actin Cardiomyopathies

Heart failure is the leading cause of mortality worldwide, primarily associated with cardiovascular disease. Many heart muscle diseases are caused by mutations in genes that encode contractile proteins, including cardiac actin mutations. Zebrafish are an advantageous system for modelling cardiac diseases due to their ability to develop without a functional heart throughout embryonic development. However, genome duplication in the teleost lineage poses a unique challenge by increasing the number of genes involved in heart development. Four actin genes are expressed in the zebrafish heart: acta1b, actc2, and duplicates of actc1a on chromosomes 19 and 20. In this study, we characterize the actin genes involved in early zebrafish heart development using in situ hybridization and CRISPR targeting to determine the most suitable gene for modelling actin changes observed in human patients with heart disease. The actc1a and acta1b genes are predominantly expressed during embryonic heart development, resulting in severe cardiac phenotypes when targeted with CRISPR. Considering the duplication of the actc1a gene, we recommend acta1b as the best gene for targeted cardiac actin research.

molecular biology↗