Biology subjects

Smith, D.

Publications and source records attributed to Smith, D..

At least 19 recordsLinked to original sources

bioRxiv2026

Phenotypic screening in Parkinson's iPSC-dopamine neurons identifies the FASN-SREBP1 axis as a potential therapeutic target

Parkinson's disease (PD) remains highly challenging to model in vitro, particularly when seeking robust functional phenotypes for target discovery. Patient-derived induced pluripotent stem cell dopaminergic neurons (iPSC-DANs) offer a promising platform to address this challenge. Because calcium dyshomeostasis is well-described in PD pathophysiology, it offers a platform for phenotypic screening. We have previously shown that GBA-N370S iPSC-DANs display impaired intracellular calcium release. Here, we used this disease-relevant phenotype to undertake a 4,108-compound phenotypic screen in GBA-N370S (GBA-NS) iPSC-DANs. This screen identified fatty acid synthase (FASN) as the most enriched protein target. The ability of compounds to rescue calcium release correlated with biochemical potency against FASN across multiple chemical series. We confirmed that FASN knockdown increased intracellular calcium release, supporting an on-target effect. Untargeted lipidomics demonstrated broad remodelling of the neuronal lipidome after FASN inhibition, confirming target engagement. FASN inhibition also increased active a-glucocerebrosidase (GCase), reduced extracellular a-synuclein release and ER stress, and altered RASGRF1 expression. Mechanistically, FASN inhibition activated sterol regulatory element-binding protein 1 (SREBP1), and SREBP1 overexpression alone was sufficient to increase intracellular calcium release, identifying a FASN-SREBP1-calcium homeostasis axis in human neurons. Finally, the FASN inhibitor BI 99179 achieved brain exposure and reduced brain fatty acid levels while inducing an SRE-associated transcriptional response in a Parkinson's mouse model, providing evidence of in vivo target engagement. These findings establish patient iPSC-neuron functional screening as a tractable discovery platform to identify targets which can be taken in vivo and nominate the FASN-SREBP1 axis as a candidate therapeutic pathway in PD.

neuroscience↗

bioRxiv2026

Limits of marker information transfer]{Limits of marker information transfer in cross-panel cytometry imputation

Marker imputation can bridge cytometry datasets acquired with different panels and platforms. Its validity depends on whether common markers retain information about unmeasured target markers and whether those relationships transfer across assay contexts. We evaluated these limits in two paired flow cytometry-CyTOF cohorts comprising 134 patients and 257 specimens. A patient-held-out framework distinguished within-platform same-cell reconstruction from cross-platform distribution translation without cell correspondence. We compared conventional machine-learning and deep generative estimators with median imputation and used permutation controls to estimate the contributions of patient matching and source-exclusive markers. Evaluation covered marker values, specimen distributions, phenotype utility, and directional predictive relationships among markers. Within platforms, exact k-nearest neighbors reduced mean absolute error by 12.8-35.0% relative to median imputation. However, the median-based reconstructions were contracted, with a median ratio of predicted to observed interquartile range below 1 in every context and evaluable population. Patient matching improved cross-platform distribution recovery, whereas adding source-exclusive markers or higher-capacity estimators did not consistently produce net gains. In the independently annotated acute myeloid leukemia (AML) cohort, reconstructed markers largely preserved broad-lineage classification but did not recover fine-phenotype information available through direct measurement. In AML-CyTOF, the measured full panel outperformed the reconstructed representation by 10.25 percentage points for fine phenotypes. Predictive relationships among markers were context-specific. Most targets were better explained by several markers than by one. Marker selection based on these relationships showed a trade-off between panel size and pairwise coverage. Paired samples and imputation can therefore connect selected marker distributions across panels but should not be treated as substitutes for direct measurement. Cross-panel cytometry should be evaluated with patient-held-out tests matched to the resolution of available ground truth and the intended downstream use.

bioinformatics↗

bioRxiv2026

Toxoplasma gondii Fatty Acid Elongases are Important for Virulence and Persistence

Toxoplasma gondii is an apicomplexan parasite which can infect a diverse range of warm-blooded host species. This promiscuous lifestyle requires metabolic flexibility yet our understanding of the metabolic pathways in this parasite remains incomplete. This gap includes the endoplasmic reticulum localised fatty acid elongation (FAE) pathway, which is responsible for synthesis of long (LCFA) and very long chain fatty acids (VLCFA), thus contributing to critical functions such as lipid storage and membrane biogenesis. Analyses of FAE in the commonly studied type I T. gondii strain revealed its contribution to the production of LCFA and VLCFA in vitro. However, the cystogenic type II T. gondii, which is responsible for most toxoplasmosis cases worldwide, was not studied. These type II parasites can readily differentiate between virulent and immune-evasive stages whereas type I cannot. This ability to readily transition between life stages, which are metabolically fundamentally different, prompts the question of whether the FAE pathway may play different roles in their distinct phenotype. Here we address this question, first confirming the role of the FAE enzymes, TgELO-A & B, in the production of LCFA and VLCFA in a type II T. gondii strain. Next, we demonstrated that their deletion leads to defects in replication and invasion when grown under lipid-restricted conditions. The mutants were further shown to be attenuated in mice as demonstrated by extended survival. Importantly, FAE enzyme deletion caused reduced brain cyst burdens. These findings highlight the importance of FAE for parasite survival under metabolic stress and in vivo. ImportanceToxoplasma gondii infects a wide range of hosts and persists for life in multiple tissues, making metabolic flexibility essential for its success. Fatty acid elongation (FAE), mediated by elongase (ELO) enzymes, enables the parasite to modify both de novo synthesised and host-scavenged fatty acids to support membrane biogenesis, lipid storage, and adaptation to changing nutrient environments. Previous studies in the type I strain established the importance of FAE for parasite metabolism, but its role in the clinically relevant, cystogenic type II lineage--which causes most cases of human toxoplasmosis and forms long-lived, immune-evasive bradyzoite cysts-- remained unknown. Here, we address this gap by characterising type II ELO mutants and show that disruption of FAE remodels the parasite lipidome, impairs fitness under fatty acid-limiting conditions, and reduces virulence and chronic persistence in mice. These findings identify FAE as a key metabolic pathway underpinning adaptation and persistence during chronic infection.

microbiology↗

bioRxiv2026

H5N1 influenza binding and cell entry via human class II MHC, and blocking by cross-reactive antibodies

Summary paragraphHighly pathogenic avian influenza (HPAI) H5N1 clade 2.3.4.4b viruses are currently responsible for a multi-species outbreak affecting wild birds, poultry, numerous mammalian species, and humans. Influenza A viruses typically initiate infection through binding to sialic acid, although select bat and human influenza viruses can also exploit class II major histocompatibility complex (MHC-II) molecules for cell entry. Here we show that emerging H5N1 clade 2.3.4.4b viruses, but not historical H5 lineages, bind human MHC-II HLA-DR and mediate sialic acid-independent cell entry. Hemagglutinin binding to primary human immune cells varies with MHC-II expression and is further shaped by HLA-DR allelic variation, identifying host genetic determinants that may influence susceptibility to infection. Mammalian-adaptive substitutions within the hemagglutinin sialic acid receptor-binding domain reduce MHC-II binding, suggesting this interaction is remodeled during clade 2.3.4.4b H5 adaptation to a human host. Lastly, cross-reactive monoclonal antibodies isolated from clade 2.3.4.4b H5-naive humans can block the hemagglutinin-MHC-II interaction. These findings identify a previously unrecognized receptor pathway in contemporary H5N1 viruses and reveal that both human genetic variation and pre-existing humoral immunity can modulate this interaction, with implications for host range, cellular tropism, spillover risk, and therapeutic intervention.

immunology↗

bioRxiv2026

Molecular and Structural Basis of Cardiac Remodelling in Niemann-Pick Type C

Key Point SummaryNiemann-Pick disease type C (NPC) patients showed a high prevalence of ECG abnormalities, with additional echocardiographic evidence of altered left-ventricular structure and function. Npc1-/- mouse hearts exhibited age-associated glycosphingolipid accumulation accompanied by marked myocardial fibrosis and increased collagen deposition. Ex vivo electrophysiology revealed QT prolongation and atrioventricular conduction defects in Npc1-/- hearts, particularly under {beta}-adrenergic stress. Transcriptomic profiling identified inflammatory and fibrotic pathway activation consistent with the structural and electrophysiological abnormalities observed. Together, these findings demonstrate previously unrecognised cardiac involvement in NPC and support routine cardiac screening to improve clinical management. Niemann-Pick disease type C (NPC) is a rare autosomal recessive neurodegenerative lysosomal storage disease caused by pathogenic variants in NPC1 or NPC2. Sudden death can occur due to seizures, but cardiac involvement has not been well defined. We performed 12-lead electrocardiograms (ECG) in 14 adult NPC patients (8 male, 6 female). Cardiac structure and function were examined in Npc1-/- adult mouse hearts, alongside wild-type controls. Glycosphingolipid accumulation was quantified by high-performance liquid chromatography, fibrosis and collagen deposition were quantified using Massons Trichrome (M&T) and Picrosirius Red (PR) staining. Whole-heart morphology, including chamber size and wall thickness, was assessed. Ex vivo ECG recordings assessed conduction abnormalities and arrhythmias. RNA-seq transcriptomics characterised molecular pathways altered in Npc1-/- hearts. 8/14 patients showed ECG abnormalities including abnormal QRS transitions (N=8), increased QRS amplitude (N=4), fascicular block (N=2), and abnormal T wave inversion (N=1). 13 patients also had transthoracic echocardiograms identifying mildly impaired LV systolic function (N=2) and increased wall thickness/LV mass (N=4). In Npc1-/- mice, age-related glycosphingolipid accumulation was associated with pronounced ventricular fibrotic remodelling. There was a significant increase in stained connective tissue area and connective tissue to cardiac tissue ratio in both M&T and PR staining. ECG from Langendorff-perfused Npc1-/- hearts showed QT prolongation and atrioventricular conduction abnormalities under isoprenaline stress. Transcriptomics revealed major changes in Npc1-/- hearts, consistent with histological fibrosis and linking NPC to inflammation-driven remodelling and arrhythmogenesis. These findings support routine cardiac screening in NPC patients and highlight the need for further studies to improve management and treatment.

physiology↗

bioRxiv2026

Genomic Determinants of Lethality and Therapeutic Vulnerability in Castration-Resistant Prostate Cancer

Despite extensive characterization, the molecular determinants that shape disease progression and therapeutic outcomes in metastatic castration-resistant prostate cancer (mCRPC) remain incompletely defined. This large, multi-institutional analysis reveals that the genomic determinants of outcomes in primary prostate cancer are distinct from those in castration-resistant disease. We identify androgen-regulated MYC fusions as potent primary genetic drivers catalyzing early progression. Additionally, across independent mCRPC cohorts, we validate TP53, RB1, and CDKN1B alterations as the strongest genetic drivers of poor survival. Mechanistically, CDKN1B loss induces an AR-positive epithelial-mesenchymal transition rather than neuroendocrine differentiation, while TP53 loss triggers whole-genome duplication and subsequent adaptive copy-number gains. Within TP53-altered tumors, AR amplifications confer improved survival while AR mutations are protective regardless of TP53 status. Integrating these genomic events with transcriptomic phenotypes, we derive CAPrisk, a multi-omic prognostic classifier. CAPrisk stratifies patients with mCRPC into three risk groups with >33-month survival differences and predicts outcomes across androgen receptor pathway inhibitors, taxanes, PARP-inhibitors, and radium-223. Together, these findings expand the clinical utility of genomic profiling in advanced prostate cancer and establish a framework for risk stratification in lethal disease. IN BRIEF (eTOC BLURB)Rebernick et al. analyze a multi-institutional cohort of 1,331 prostate cancer samples and identify the genomic determinants of progression to lethal, castration-resistant disease. They define rare AR-regulated MYC fusions and haploinsufficient CDKN1B loss as drivers of poor outcome while highlighting AR alterations as predictors of improved prognosis. They develop CAPrisk, a multi-omic classifier that stratifies patient outcomes across androgen receptor pathway inhibitors, taxanes, PARP-inhibitors, and radium-223. HIGHLIGHTS- AR-regulated MYC fusions are rare ([~]2%) truncal events driving aggressive disease. - Distinct AR alterations drive favorable outcomes in TP53-altered and non-altered contexts. - Haploinsufficient CDKN1B loss predicts poor survival in AR-positive tumors. - A multi-omic model predicts outcomes across four standard-of-care therapies. MI-OncoSeq TeamChandan Kumar, Erica Rabban, Kayla Muschong, Lakshmi P. Kunju, Javed Siddiqui, Yu Ning, Rui Wang, Fengyun Su, Yelena Kleyman-Smith, Josh N. Vo, Jin Chen, Rahul Mannan Stand Up To Cancer TeamWassim Abida, Joanna Cyrta, Glenn Heller, Davide Prandi, Joshua Armenia, Ilsa Coleman, Matteo Benelli, Eliezer M. Van Allen, Andrea Sboner, Tarcisio Fedrizzi, Juan Miguel Mosquera, Brian D. Robinson, Navonil De Sarkar, Lakshmi P. Kunju, Scott Tomlins, Daniel Nava Rodrigues, Massimo Loda, Anuradha Gopalan, Victor E. Reuter, Colin C. Pritchard, Joaquin Mateo, Diletta Bianchini, Susana Miranda, Suzanne Carreira, Pasquale Rescigno, Julie Filipenko, Jacob Vinson, Robert B. Montgomery, Himisha Beltran, Elisabeth I. Heath, Howard I. Scher, Philip W. Kantoff, Mary-Ellen Taplin, Nikolaus Schultz, Johann S. deBono, Francesca Demichelis, Peter S. Nelson, Mark A. Rubin, Charles Sawyers

Cancer Biology↗

bioRxiv2026

Accurate estimation of canine inbreeding using ultra low-coverage whole genomesequencing

The measurement of inbreeding has gained significance across diverse fields, including population and conservation genetics, agricultural genetics, breeding programs for animals and plants, and wildlife management. This is due to the fact that inbreeding leads to increased homozygosity and results in lower genetic diversity, rendering populations more vulnerable to environmental changes, diseases, and other stressors. High or mid-coverage whole genome sequencing (WGS) has been widely used for inbreeding estimation, but it is resource-intensive. We aimed to investigate the use of ultra low-coverage whole genome sequencing (ulcWGS) as a cost-effective alternative for inbreeding analysis. Domestic dogs were used for our study as their extensive breeding histories lead to populations with a wide range of inbreeding levels. We constructed a multi-breed reference panel from high-coverage WGS samples. Inbreeding in independent ulcWGS samples was then estimated using runs of homozygosity (RoH) and inbreeding coefficients (F). We modeled the relationship between these measures and sequencing depth using nonlinear regression, to generate inbreeding estimates relative to sequencing depth. Resulting relative RoH and F measurements were significantly correlated, with purebred dogs exhibiting more runs of homozygosity and higher inbreeding coefficients compared to mixed-breed dogs. Our findings demonstrate that ulcWGS can provide reliable and economical estimations of inbreeding, expanding accessibility to genetic monitoring.

bioinformatics↗

bioRxiv2026

A comparative analysis of liver tissue and novel primary organoid cultures from ruminants reveals species-specific immune architecture and metabolic specialization

The liver is widely considered to be one of the most conserved organs amongst vertebrates, with it being involved in blood detoxification, bile production and the metabolism of xenobiotic compounds. Liver organoids have previously been derived from several species and used as models of drug metabolism, toxicity, and fundamental tissue biology. To date, however, these models have not been developed from ruminant species, specifically cattle and sheep. Here we present the first report of the development and comprehensive characterisation of bovine and ovine liver organoids derived from primary liver tissue. When initially established, organoids from both species were comprised of KRT19- and KRT18-positive cholangiocytes. The capacity for organoids to differentiate into hepatocyte-enriched cultures was evaluated and it was noted that there was an increase in hepatocyte markers in bovine cultures. A comparative analysis of the liver tissue and organoids of both species revealed species-specific differences in gene expression, which were conserved within organoid cultures. Most notably, bovine liver tissue and organoids had enriched expression of genes associated with fatty acid uptake and storage whereas ovine samples had higher expression of genes associated with fatty acid conversion, highlighting fundamental differences between these two ruminant species. Differences in expression of cytochrome P450 family genes were identified alongside those associated with an inflammatory response specifically in bovine samples, whereas ovine samples had higher expression of genes associated with a protective immune response. Despite this, transcriptomic analysis of organoids from both species, cultured in both growth and differentiation media, revealed preserved expression of genes associated with key liver functions, including gluconeogenesis and xenobiotic metabolism. Transcripts associated with the flavin-containing monooxygenases (FMO) family were expressed in both organoid growth media and organoid development media (OGM and ODM respectively), and both species could metabolise triclabendazole into its primary metabolite triclabendazole sulfoxide, therefore validating the potential of the organoids to be applied as in vitro models of metabolism and/or toxicity. Overall, this study provides novel insights into differences in liver composition and function between ruminant species, as well as providing novel experimental models of the liver for both cattle and sheep.

cell biology↗

bioRxiv2026

Damaged glomeruli in proliferative pediatric lupus nephritis exhibit a C5a-C5aR1 induced fibrotic transcriptional program

Lupus nephritis (LN) is a leading cause of morbidity in pediatric systemic lupus erythematosus (pSLE) due to suboptimal kidney remission rates and the sequelae of prolonged intensive immunosuppressive therapy. LN is patchy, with some glomeruli severely damaged while others remain histologically unaffected in the same kidney. Using spatial transcriptomic technology, we interrogated microanatomic transcriptional differences between histologically damaged and unaffected glomeruli in pSLE LN to understand local drivers of renal injury. Despite SLE being a disease of Type I interferon (IFN), IFN gene response does not associate with local glomerular damage. Rather, damage associates with a transcriptional module of higher expression of myeloid cell markers, C5AR1 (encoding the receptor for complement component 5a [C5a]), early complement components, and fibrosis genes. Bulk RNA-sequencing of C5a stimulated human monocyte-derived-macrophages revealed upregulation of tissue-remodeling and fibrosis-related pathways reversible by the C5aR1 inhibiting drug avacopan. These same C5a-inducible fibrosis genes were significantly upregulated in histologically damaged versus unaffected LN glomeruli providing a mechanistic link between C5a-C5aR1 signaling and early fibrosis in proliferative lupus nephritis. Our data provide insight into an understudied connection between complement activation and fibrosis relevant in SLE and likely other inflammatory diseases of complement activation.

immunology↗

bioRxiv2026

Mapping the chaperonin TRiC/CCT interactome in mouse photoreceptors reveals functional significance for energy metabolism

The eukaryotic chaperonin TRiC/CCT is essential for folding a diverse set of proteins, yet its interactome and functional roles in specialized neurons remain incompletely understood. To investigate TRiC-mediated folding in rod photoreceptors, we generated a transgenic mouse line expressing an epitope-tagged Tcp-1 subunit, enabling purification of intact TRiC complexes from retinal tissue. Mass spectrometry identified 226 TRiC-interacting proteins, including known TRiC substrates and co-chaperones as well as numerous novel candidates enriched in RNA processing, cytoskeletal organization, and cell-cycle regulation. Using a TRiC loss-of-function model in which expression of a short splice isoform of phosducin-like protein (PhLPs) competitively inhibits TRiC activity, we observed marked reductions in canonical TRiC substrates, including tubulins, transducin {beta} subunits, and triosephosphate isomerase, as well as secondary alterations in proteins involved in cytoskeletal stability, membrane trafficking, energy metabolism, and phototransduction. Quantitative metabolomic profiling revealed that TRiC deficiency induces a metabolic "energy crisis" characterized by reduced glycolytic- and tricarboxylic acid cycle intermediates, acylcarnitines, ATP, NAD, and NADH, implicating widespread impairment of glucose utilization, mitochondrial bioenergetics, and fatty acid oxidation. Integrative proteomic-metabolomic analysis identified a small subset of proteins, including Rab10 and Anxa1, as potential drivers of these metabolic disruptions, with defective Rab10-dependent GLUT4 trafficking emerging as a plausible mechanism underlying impaired glucose uptake in TRiC-deficient rods. Finally, experiments using a perpetually unfolded G{beta}1 mutant and G{gamma}1-knockout mice demonstrated that substrate overload sequesters TRiC and competitively displaces other clients, exacerbating proteostasis imbalance. Together, our study provides a comprehensive in vivo mapping of the TRiC interactome in mammalian rods, reveals a connection between TRiC-dependent proteostasis and energy metabolism in rods, and indicates a mechanism by which misfolded TRiC substrates exacerbate a proteostasis imbalance that ultimately results in neurodegeneration.

biochemistry↗

bioRxiv2026

A novel pharmacogenetic testing panel for CYP2C19 genetic polymorphisms

Specific drug metabolism rates are defined by the constituency of the cytochrome P450 (CYP) genome, including polymorphic changes in any of 200+ CYP genes. An example is CYP2C19, where associations of gene polymorphisms with variability in certain drug metabolism rates have been linked to inter-individual and inter-ethnic differences in therapeutic outcomes. While pharmacogenomic screening for these variants prior to drug and dosage prescription has well-defined links to better treatment outcomes, current implementation is limited to complex and costly variant-probing and DNA sequencing protocols, which have limited availability in clinical laboratories, leading to slow turnaround times, impacting effective clinical intervention. Here we describe a novel, cost-effective, multiplex genotyping approach to screening CYP2C19 variants. Fluorescence nested allele-specific (FAS) PCR was used with primers to detect CYP2C19 variants of interest in specific hot spots, including the Tier 1 haplotypes identified by the Association for Molecular Pathology (AMP): CYP2C19*2, *3, and *17. The presence/absence of wild-type and mutant alleles were identified independently as haplotypes, and in a multiplex reaction as diplotypes representing the 10 possible genotype combinations/profiles. FAS-PCR achieved the same genotype calls as a pyrosequencing protocol optimized for validating genotypes, but with a simpler and more sensitive interface. The FAS-PCR method correctly identified the genotypes of both synthesized DNA and a human genomic DNA standard. Uniquely, the FAS-PCR protocol generates patterns using one fluorescently-labeled primer irrespective of the number of variants targeted, establishing it as considerably more cost-effective than other allele-specific PCR-based techniques that involve labeling both the forward and reverse primers.

pharmacology and toxicology↗

bioRxiv2026

Emergence and antigenic characterisation of influenza A(H3N2) viruses with hemagglutinin substitutions N158K and K189R during the 2024/25 influenza season

BackgroundSeasonal human influenza viruses can escape from antibody-mediated neutralization when amino acid changes occur in the hemagglutinin protein. Routine surveillance identified circulation of an A(H3N2) virus variant in the Netherlands with amino acid substitutions at hemagglutinin positions 158 and 189. These amino acid positions were previously responsible for antigenic change of influenza A(H3N2) viruses and potentially lead to escape of this variant from vaccine-mediated immunity. AimTo characterize the emergence and antigenic properties of N158K and K189R double substitution virus variants. MethodsWe analyzed the geographical and temporal dynamics of the double-substitution variant using a phylogeographic approach and used hemagglutination inhibition assays and antigenic cartography methods to map its antigenic properties. ResultsA(H3N2) viruses carrying K189R were first detected in Guatemala in June 2024, before subsequently gaining the N158K substitution, which was intially detected in Colombia in November 2024, followed by detection in the Netherlands in December 2024. However, detections within Europe remained almost entirely confined to the Netherlands. The proportion of viruses carrying the N158K and K189R substitutions increased to 16% - 24% per collection week of sequenced Dutch viruses during the peak of the epidemic of the 2024-2025 respiratory season. Antigenic characterization of viruses with N158K and K189R substitutions indicated that these are antigenically distinct from the A(H3N2) components of 2025-2026 Northern Hemisphere vaccines, showing 8-192-fold reduction in hemagglutination inhibition titers with antisera against the vaccine strain compared to antisera against the homologous virus. ConclusionsInfluenza A(H3N2) viruses with N158K and K189R escaped recognition by antibodies raised against the 2024-2025 and 2025/2026 Northern Hemipshere vaccine strains in hemagglutination inhibition assays. These variants circulated widely in the Netherlands during the 2024-2025 influenza season, raising concerns about reduced vaccine-mediated protection if such variants would spread more broadly during 2025-2026 Northern Hemipshere season.

microbiology↗

bioRxiv2026

An AI/ML-Powered Workflow for End-to-End Cell Line Development

The generation of clonal CHO cell lines is foundational to biologics manufacturing; however, labor-intensive cell culture workflows predominate in the field. We created the CLAIRE (Cell Line AI Recognition and Evaluation) tool to streamline end-to-end cell line development by integrating deep-learning image analysis with automated liquid handling. We benchmarked three object detection models for monoclonality verification and found DETR provides superior accuracy (>0.90 F1-score) in identifying single cells. To quantify the outgrowth of cell lines, we evaluated multiple zero-shot SAM2 segmentation models against a feature-based estimation method. Feature-based detection successfully identified diverse cell colony types while less robust performance was observed for SAM2 models, particularly for sparse density colonies. The pre-trained DETR and feature-based detection models were wrapped in a task-focused user interface that outputs cell line hitpick lists compatible with a Lynx LM1800 liquid handler in addition to custom scripts automating cell passaging and sampling. This approach yielded an end-to-end 36 day CLD workflow capable of generating high-titer cell lines for multiple complex antibody structures. Here, we open-access our trained models, user interface, and Lynx automation scripts to provide a modular toolkit useful for clonal cell line engineering projects. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=153 SRC="FIGDIR/small/703387v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@1f72e70org.highwire.dtl.DTLVardef@109c54dorg.highwire.dtl.DTLVardef@7867b1org.highwire.dtl.DTLVardef@dfa61e_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2026

A Closed Computational - Experimental Loop Identifies Metabolic Collapse at the Root of Macrophage Dysfunction due to Zinc Dyshomeostasis

Zinc plays a crucial role in immune regulation, the oxidative stress response, and epithelial barrier integrity, yet zincs precise role in regulating metabolic and immunological functions in myeloid cells remains poorly understood. Here, we employ a systems biology approach using constraint-based modeling to elucidate the consequences of myeloid-specific loss of ZIP8 on macrophage metabolic function and antibacterial capabilities. We demonstrate that macrophage populations in the lung of ZIP8 knockout (Zip8KO) mice exhibit widespread metabolic disruption, spanning glycolysis, butanoate metabolism, amino acid metabolism, and mitochondrial function. Specifically, Zip8KO macrophages exhibit impaired nutrient uptake and dysregulated energy metabolism, which is exacerbated following Streptococcus pneumoniae infection. Genome-scale metabolic modeling and flux analysis revealed a paradoxical pattern of metabolic suppression prior to infection, followed by overcompensation post-infection, potentially driving immune dysfunction. Consistent with these predictions Zip8KO bone marrow-derived macrophages displayed increased ATP demand and disrupted mitochondrial energetics, compromising their ability to control infection. Importantly, we identified succinate, and kynurenic acid as metabolites capable of restoring immune responses and validated their ability to enhance bacterial clearance in Zip8KO BMDMs. Together, these findings establish ZIP8 as a central regulator of immune-metabolic homeostasis and suggest potential therapeutic avenues to restore immune function in settings of zinc deficiency.

immunology↗

bioRxiv2025

Prediction of Piconewton Receptor Tension Images using Deep Learning

Piconewton (pN) receptor forces govern many biological processes, but measuring these forces remains challenging. Molecular tension probes (MTPs) provide a sensitive means to measure pN cellular forces via fluorescence microscopy; however, MTPs are challenging to use and only forces transmitted through the probes are reported, complicating their use in heterogenous environments. Here, we present Tension Deep Learning (TensionDL), which leverages convolutional neural networks and image-to-image translation to predict pN receptor tension maps from images of cell morphology and the force-transducing protein vinculin. We validate the accuracy of TensionDL at the subcellular and cellular scales, demonstrate model accuracy across different substrate stiffnesses and cell types, and leverage TensionDL to make semi-quantitative predictions of cell mechanical output. Finally, TensionDL enables long-term mapping of pN receptor tension and infers tension distributions in heterogeneous environments in which some forces are not transduced through MTPs.

bioengineering↗

bioRxiv2025

Development and Characterisation of Equine Gastric Organoids

The healthy equine stomach is of essential importance to equine digestive health and overall wellbeing. Diseases of the gastric mucosa such as gastric ulcers are highly prevalent in equids, particularly amongst racing thoroughbreds, and present a significant challenge to animal health and welfare. Despite this, there is currently no lab-based model capable of accurately representing the cellular diversity and cellular interactions within the equine gastric mucosa to aid in development of treatment options. We present here the first report of equine gastric organoids derived from glandular mucosa tissue. Through bulk RNA-sequencing and immunofluorescence we show these gastric organoids are representative of the tissue whilst retaining the individual gene-expression properties of the animal they were derived from. We also show these organoids are stable over multiple passages and can be differentiated towards different cell-types to upregulate protein and gene expression of specialised cell markers such as gastric foveolar cell associated mucin 5ac, gastrokine 1 & 2 and trefoil factor 2. This model establishes the first physiologically relevant in vitro model of the equine gastric epithelium, representing a significant opportunity for developing understanding and therapeutic treatments of gastric diseases in equids.

cell biology↗

bioRxiv2025

Epigenetic silencing of transposable elements by IRF2BP2 is a selective dependency of myeloid leukemia

Acute myeloid leukemia (AML) is a heterogeneous malignancy with limited curative treatment options. Transposable elements (TEs) are now recognized as key regulators of genome function, with aberrant activation implicated in cancer. However, their tumor-type-specific roles remain poorly characterized. Using single-cell Perturb-seq, we systematically screened for chromatin-associated regulators in primary AML patient cells to uncover dependencies required for leukemia cell viability. Our screen identified IRF2BP2 as an AML-selective dependency, functioning as a repressor of TE expression. Loss of IRF2BP2 induced differentiation, apoptosis, and impaired leukemic cell fitness, phenotypes linked to transcriptional activation of TEs, particularly evolutionarily young human endogenous retrovirus K (HERV-K). Mechanistically, IRF2BP2 cooperates with TRIM28 and DNMT1 to epigenetically silence TE expression. CRISPR-mediated activation of HERV-K/LTR5_Hs recapitulated the phenotypic effects of IRF2BP2 loss, while targeted re-silencing of HERV-K/LTR5_Hs partially rescued the effects, establishing a causal link between TE regulation and AML maintenance. Our findings highlight tumor-suppressive functions of TEs in leukemia and reveal IRF2BP2 as a key regulator of TE silencing in AML. Targeting the epigenetic machinery governing TE repression may represent a promising therapeutic avenue for differentiation-inducing and immunomodulatory strategies in AML.

cancer biology↗

bioRxiv2025

Modeling Fibrosis with MASH Patient Liver-Derived Organoids.

Metabolic dysfunction-associated steatohepatitis (MASH) can lead to liver fibrosis and cirrhosis ultimately leading to liver transplantation or death. Therapeutic options for MASH-associated fibrosis are limited in part because of the lack of good model systems. To address this challenge, we developed a 3D MASH liver fibrosis model by using organoids derived from MASH patient liver co-cultured with human liver-derived hepatic stellate cells (HSC) and human peripheral blood monocytes (MC). Spontaneous self-assembly resulted in fibrotic scar-like 3D structures with senescent parenchymal cells, proliferating collagen secreting myofibroblasts (MFB) and proinflammatory TREM2+ scar-associated macrophages (MP). Single cell RNA sequencing suggested high similarity with MASH patient liver fibrotic scars. Lipid nanoparticles (LNPs) formulated with anti-YAP1siRNA could specifically and efficiently knockdown YAP1 in the MFBs, resulting in MFB senescence, a desirable therapeutic goal. This MASH patient liver-derived fibrosis model opens novel avenues towards testing treatments for MASH-associated liver fibrosis with reduced adverse effects.

bioengineering↗