Biology subjects

Tucker, A.

Publications and source records attributed to Tucker, A..

10 recordsLinked to original sources

bioRxiv2026

High-Throughput Morphological Profiling of Patient-Derived Human Liver Organoids for Hepatotoxicity Hazard Identification and Compound Prioritization

Drug-induced liver injury (DILI) remains a major challenge in drug development because existing in vitro models poorly predict clinical hepatotoxicity. We coupled patient-derived human liver organoids (HLOs) with high-content imaging and automated machine learning (ML) to detect hepatotoxicity-associated phenotypes by morphological profiling. HLOs from six DILI patients and one healthy donor (n = 7) retained donor-specific baseline phenotypes in hepatocyte maturity, metabolism, and morphology. ML models trained per line on MAD-robustized, well-level-aggregated median features achieved compound-level AUROCs of 0.88 (95% CI 0.86-0.90) to 0.91 (95% CI 0.89-0.93) and balanced accuracies of 0.81-0.84 in distinguishing 54 hepatotoxicants from 20 non-hepatotoxic controls. Averaging predictions across all seven lines at an optimized threshold gave 94.4% sensitivity (95% CI 84.6-98.8%) and 85.0% specificity (95% CI 62.1-96.8%), substantially outperforming HLO cytotoxicity assays and cancer cell line profiling. Lines were moderately-to-highly concordant (Pearson r = 0.66-0.85), and benchmark concentration modeling revealed reproducible inter-line differences in phenotypic sensitivity (median 4.0-fold, several compounds exceeding 20-fold). Exposure anchoring of benchmark concentrations to human-equivalent plasma concentrations, using in vitro mass-balance dosimetry and curated plasma free fractions, placed organoid points of departure within 100-fold of clinical Cmax for 60 of 66 compounds (23-fold residual offset, 95% CI 12-45), and placed two of the three misclassified negative controls an order of magnitude above clinical Cmax. Sulindac injury signatures were significantly enhanced by TNF co-treatment, demonstrating capacity to detect pro-inflammatory-mediated DILI. This platform preserves inter-line variability while enabling reproducible, scalable multi-line consensus hazard classification; because compounds were tested over a common nominal concentration range, the readout defines hepatocellular hazard, which must be combined with exposure as an independent input to estimate clinical DILI risk.

pharmacology and toxicology↗

bioRxiv2026

Genome-scale metabolic model atlas of the zoonotic pathogen Streptococcus suis

Streptococcus suis is a Gram-positive bacterium with a dual role as a commensal member of the porcine nasal microbiota and a pathogen causing systemic disease in pigs and humans. Mounting evidence suggests that metabolism is a key driver of S. suis pathogenicity. Given the species high genetic variability, we hypothesize that differences in metabolic networks could explain the diverse pathogenic phenotypes observed across different strains. To test this, we generated an atlas of over 3000 strain-specific and automatically curated genome-scale metabolic models that cover the breadth of pathogenic and commensal S. suis lineages. Using this model atlas, we performed the first species-level examination of metabolic traits in S. suis. Our simulations, supported by experimental validation, revealed three key insights. First, while metabolic traits are broadly conserved in S. suis, there are nevertheless lineage-dependent differences in amino acid auxotrophies and carbon utilization patterns that point towards distinct in vivo niches. Second, most strains are predicted to grow in different plausible in vivo environments regardless of their virulence phenotype, suggesting that metabolism is a weak barrier to systemic infection. Third, by systematically predicting reaction essentiality in more than 15 million reaction-strain-condition combinations, we identify a subset of 17 reactions, largely in nucleotide metabolism, that are conditionally essential in vivo and may serve as new targets for the development of new antimicrobials or vaccines. Overall, this study provides a valuable new resource for broadly examining S. suis metabolism and its role in pathogenicity.

Systems Biology↗

bioRxiv2026

Cell-type Specific Alteration of Dicer1 Accelerates Tumor Progression in Mouse Models of KRAS-driven Lung Adenocarcinoma

MicroRNAs (miRNAs) have been widely implicated in cancer initiation and progression, yet examination of the effects of global miRNA disruption on these processes has been limited. We developed novel genetically engineered mouse models of Kras-driven pulmonary adenocarcinoma (LUAD) with cell-type-specific disruption of miRNA biosynthesis via Dicer1 allele deletion, which exhibit significant differences in tumor progression rates and expected survival. Dicer1 is an RNase III enzyme that is required for the biogenesis of mature, functional miRNAs. Lung tumor progression was accelerated, and expected survival was decreased only when we initiated tumors and deleted one allele of Dicer1 in club cells and mutated Dicer1 in alveolar type 2 (AT2) cells. Reversing the cell types by inducing tumorigenesis, deleting one Dicer1 allele in AT2 cells, and mutating Dicer1 in club cells modestly accelerated tumor progression and had no effect on expected survival. Collectively, our results demonstrate that Dicer1 disruption accelerates lung cancer progression in a cell-type-dependent and non-cell-autonomous manner, and our mice represent tools for investigating the roles of miRNAs and miRNA-mediated intercellular communication in tumor progression. SummaryKras-driven mouse models show that Dicer1 mutations accelerate lung adenocarcinoma (LUAD) progression in a cell-type-dependent manner and suggest that the influence of miRNA-mediated intercellular communication is unidirectional and non-cell-autonomous.

cancer biology↗

bioRxiv2025

A haplotype-resolved, chromosome-scale genome assembly and annotation for Carya glabra (pignut hickory; Juglandaceae)

Carya glabra (2n = 4x = 64), also known as pignut hickory, is a widely distributed species in the walnut family (Juglandaceae). Native to the central and eastern United States and southeastern Canada, C. glabra plays an important ecological role as a common upland forest species; it is closely related to several economically valuable nut trees, including C. illinoinensis (pecan). A deeper understanding of the genetics of C. glabra is essential for studying its evolutionary history and biology, with potential implications for agricultural improvement of pecan. Here, we present the first nuclear genome assembly and annotation of C. glabra. The assembly is chromosome-level and phased, representing the first assembled polyploid genome in the genus Carya. A total of 64 pseudochromosomes were assembled and phased into four haplotypes. The haplotype A assembly spans 600.4 Mb, comprises 55.0% repetitive sequences, and contains 30,947 protein-coding genes, with a BUSCO completeness score of 97.7%. Functional annotation assigned 94.3% of haplotype A genes to gene families, and 79.7% and 86.3% of genes were annotated with Gene Ontology terms and protein domains, respectively; 635 putative plant disease resistance genes were found in haplotype A. The other three haplotypes exhibited similarly high-quality annotation metrics. Our genomic analyses also suggest that C. glabra is an autotetraploid. Comparative genomic analyses revealed high collinearity among the four haplotypes of C. glabra and the published genomes of three other Carya species, although structural variation among the genomes of these species was identified. In addition, we provide an improved chloroplast genome assembly and the first mitochondrial genome for C. glabra. Importantly, most members of the research team are undergraduate students; the sequenced individual is located in McCarty Woods, a Conservation Area on the University of Florida campus. This work highlights the value of genome assembly efforts as powerful tools for teaching genomics and supporting conservation initiatives. This first high-quality reference genome for C. glabra provides a valuable resource for studying Carya, a genus of significant ecological and economic importance. Article summaryCarya glabra (pignut hickory) is a common upland forest species in North America. This species is a member of the walnut family (Juglandaceae), which includes many economically important nut trees. Here, we present the first nuclear genome assembly and annotation of C. glabra. The assembly is chromosome-level and phased. The haplotype A assembly contains 30,947 protein-coding genes, with a BUSCO completeness score of 97.7%. Our genomic analyses suggest that C. glabra is an autopolyploid. We also provide chloroplast and mitochondrial genome assemblies. This nuclear genome provides a valuable resource for studying Carya, a genus of significant ecological and economic importance.

genomics↗

bioRxiv2025

Modeling Alzheimer's Disease with APOE4 Neuron-Glial Brain Assembloids Reveals IGFBPs as Therapeutic Targets

Alzheimers disease (AD) research has been hindered by the lack of models that faithfully recapitulate the full profile of disease progression in a human genetic background. We developed a 3D assembloid model ("Masteroid") using iPSC-derived neurons, astrocytes, and microglia from APOE4/4 and isogenic control lines. Neurons were seeded with tau oligomers, then combined with astrocytes and microglia to form mature 3D Masteroids, followed by amyloid-{beta} oligomer exposure. After four weeks, AD-Masteroids exhibited hallmark pathologies, including extracellular amyloid-{beta} deposits, intracellular tau aggregation, neurodegeneration, astrogliosis, and microglial activation, with APOE4 exacerbating all phenotypes. Single-cell RNA sequencing further identified novel roles of IGFBP pathways in amyloid-{beta} and tau-mediated pathology. This innovative platform provides a robust system to dissect cellular and molecular mechanisms of AD progression and offers a powerful tool for therapeutic discovery. HighlightsO_LIThe 3D human neuron-glia assembloid ("Masteroid"), composed of neurons, astrocytes, microglia, and oligodendrocytes, faithfully recapitulates human brain ultrastructure and intercellular interactions. C_LIO_LIExposure to oligomeric tau and A{beta} induced hallmark Alzheimers pathologies, including amyloid deposition, tau aggregation, neurodegeneration, and gliosis. C_LIO_LIThe APOE4 genotype exacerbated all pathological features, highlighting its role in driving multicellular interactions that accelerate disease progression. C_LIO_LIThe IGF signaling axis was identified as a key mediator of A{beta}- and tau-induced pathology and a potential therapeutic target. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=183 SRC="FIGDIR/small/683162v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@f91740org.highwire.dtl.DTLVardef@165726eorg.highwire.dtl.DTLVardef@13b957forg.highwire.dtl.DTLVardef@d40307_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2025

Mature interneuron subtypes arise from distinct spatial and temporal subdomains within the caudal ganglionic eminence

Forebrain inhibitory interneurons are born from transient structures during embryogenesis known as the medial and caudal ganglionic eminences (MGE and CGE, respectively). The MGE and CGE generate distinct, non-overlapping cohorts of interneurons that can be defined by their transcriptomic, morphological, and electrophysiological characteristics. In the MGE, somatostatin-expressing (SST+) cells arise predominantly from the dorsal-posterior MGE from E12-E16 whereas parvalbumin-expressing (PV+) cells are born in the ventral-anterior MGE throughout embryogenesis. This relationship between spatiotemporal origin and mature interneuron subtypes has led to genetic insights regarding fate and maturation of these MGE-derived cells. A similar organization has never been explored in the CGE, despite the significant increase in CGE-derived interneurons in primates compared to rodents. Here we harvested fluorescent cells from distinct CGE subdomains at E13.5 and E15.5 and grafted them into WT neonatal mice cortices. One month post-transplantation, brains were immunostained for interneuron markers to relate mature CGE-derived interneurons with spatiotemporal origins within the CGE. Our results indicate that there are significant spatial biases in the CGE, with specific interneuron subtypes preferentially arising from distinct CGE subdomains. These biases are relatively stable over time, implying a minimal relationship between temporal birthdate and interneuron subtype. In the future, combining these insights with spatial transcriptome profiles will generate critical insights into gene regulation of CGE-derived interneurons.

neuroscience↗

bioRxiv2025

Functional synaptic connectivity of engrafted spinal cord neurons with locomotor circuitry in the injured spinal cord

Spinal cord injury (SCI) results in significant neurological deficits, with no currently available curative therapies. Neural progenitor cell (NPC) transplantation has emerged as a promising approach for neural repair, as graft-derived neurons (GDNs) can integrate into the host spinal cord and support axon regeneration. However, the mechanisms underlying functional recovery remain poorly understood. In this study, we investigate the synaptic integration of NPC-derived neurons into locomotor circuits, the projection patterns of distinct neuronal subtypes, and their potential to modulate motor circuit activity. Using transsynaptic tracing in a mouse thoracic contusion SCI model, we found that NPC-derived neurons form synaptic connections with host locomotor circuits, albeit at low frequencies. Furthermore, we mapped the axon projections of V0C and V2a interneurons, revealing distinct termination patterns within host spinal cord laminae. To assess functional integration, we employed chemogenetic activation of GDNs, which induced muscle activity in a subset of transplanted animals. However, NPC transplantation alone did not significantly improve locomotor recovery, highlighting a key challenge in the field. Our findings suggest that while GDNs can integrate into host circuits and modulate motor activity, synaptic connectivity remains a limiting factor in functional recovery. Future studies should focus on enhancing graft-host connectivity and optimizing transplantation strategies to maximize therapeutic benefits for SCI.

neuroscience↗

bioRxiv2023

Using behavioral biomarkers to redefine epochs of spontaneous recovery following spinal cord injury

The brain-spinal cord axis generates movement by assembling motor primitives into coordinated sequences. Spinal cord injury (SCI) disrupts this neuroaxis, impairing not only locomotion, but the full repertoire of behavior. Traditional scales for quantifying recovery collapse this complexity into predefined locomotor-focused criteria that obscure heterogeneity in recovery. To quantify the full behavioral repertoire following SCI, we adapted motion sequencing (MoSeq) to identify sub-second behavioral "syllables" and capture their usage and sequential organization without predefined features. We identified biomechanically distinct variants within syllable classes that are shared across injury severities and found that recovery is jointly structured by injury severity and individual mouse identity. Changes in sequences, however, unfold along a conserved temporal trajectory. By compressing behavior into a single metric, we uncovered clusters of coevolving locomotor and non-locomotor behaviors. These results frame SCI recovery with repertoire-level changes, where adaptive strategies emerge from constrained access to motor primitives and their sequences.

neuroscience↗

bioRxiv2021

HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities.

Shotgun metagenomics is a powerful tool to identify antimicrobial resistance (AMR) genes in microbiomes but has the limitation that extrachromosomal DNA, such as plasmids, cannot be linked with the host bacterial chromosome. Here we present a laboratory and bioinformatics pipeline HAM-ART (Hi-C Assisted Metagenomics for Antimicrobial Resistance Tracking) optimised for the generation of metagenome-assembled genomes including both chromosomal and extrachromosomal AMR genes. We demonstrate the performance of the pipeline in a study comparing 100 pig faecal microbiomes from low- and high-antimicrobial use pig farms (organic and conventional farms). We found significant differences in the distribution of AMR genes between low- and high-antimicrobial use farms including a plasmid-borne lincosamide resistance gene exclusive to high-antimicrobial use farms in three species of Lactobacilli. Author SummaryAntimicrobial resistance (AMR) is one of the biggest global health threats humanity is facing. Understanding the emergence and spread of AMR between different bacterial species is crucial for the development of effective countermeasures. In this paper we describe a user-friendly, affordable and comprehensive (laboratory and bioinformatics) workflow that is able to identify, associate and track AMR genes in bacteria. We demonstrate the efficiency and reliability of the method by comparing 50 faecal microbiomes from pig farms with high-antibiotic use (conventional farms), and 50 faecal microbiomes from pig farms with low-antibiotic use (organic farms). Our method provides a novel approach to resistance gene tracking, that also leads to the generation of high quality metagenomic assembled genomes that includes genes on mobile genetic elements, such as plasmids, that would not otherwise be included in these assembled genomes.

bioinformatics↗

bioRxiv2017

Systematic gene tagging using CRISPR/Cas9 in human stem cells to illuminate cell organization

We present a CRISPR/Cas9 genome editing strategy to systematically tag endogenous proteins with fluorescent tags in human inducible pluripotent stem cells. To date we have generated multiple human iPSC lines with GFP tags for 10 proteins representing key cellular structures. The tagged proteins include alpha tubulin, beta actin, desmoplakin, fibrillarin, lamin B1, non-muscle myosin heavy chain IIB, paxillin, Sec61 beta, tight junction protein ZO1, and Tom20. Our genome editing methodology using Cas9 ribonuclear protein electroporation and fluorescence-based enrichment of edited cells resulted in <0.1-24% HDR across all experiments. Clones were generated from each edited population and screened for precise editing. [~]25% of the clones contained precise mono-allelic edits at the targeted locus. Furthermore, 92% (36/39) of expanded clonal lines satisfied key quality control criteria including genomic stability, appropriate expression and localization of the tagged protein, and pluripotency. Final clonal lines corresponding to each of the 10 cellular structures are now available to the research community. The data described here, including our editing protocol, genetic screening, quality control assays, and imaging observations, can serve as an initial resource for genome editing in cell biology and stem cell research.

cell biology↗