Biology subjects

Currie, P. D.

Publications and source records attributed to Currie, P. D..

9 recordsLinked to original sources

bioRxiv2026

3-D Ontogenetic Staging Atlas of the Epaulette Shark Hemiscyllium ocellatum, a Laboratory Model for Shark Development

Chondrichthyans (cartilaginous fishes) form the sister group to osteichthyans (bony fishes) and therefore occupy a key phylogenetic position for comparative studies of early vertebrate evolution. Despite their importance, chondrichthyan development remains understudied relative to established model systems such as mouse, chick, and zebrafish, in part because of limited embryo accessibility and the lack of standardized laboratory resources for rearing. Here, we present the epaulette shark Hemiscyllium ocellatum, a small, oviparous shark as a tractable laboratory system for studying shark development. We provide an overview of epaulette shark husbandry requirements and generate a comprehensive micro-computed tomography imaging series spanning embryonic development through hatching. This dataset provides a three-dimensional anatomical atlas of development for a representative chondrichthyan species. By preserving whole embryos in three dimensions, micro-CT imaging enables developmental morphologies to be visualized at high resolution and in near-native anatomical context. Together with the recently published epaulette shark genome, this developmental atlas helps establish the Epaulette shark for comparative anatomical, developmental, and genomic studies.

developmental biology↗

bioRxiv2026

fishROI: A specialized workflow for semi-automated muscle morphometry analysis in teleosts

Quantitative histological analysis of skeletal muscle morphometry provides critical insights into muscle physiology but remains labor-intensive and technically demanding. While recent developments in machine-learning-based image segmentation techniques have facilitated large-scale tissue analysis, existing tools that automate muscle morphometry analysis are largely tailored to mammalian models, with limited applicability to teleosts. Moreover, there is a lack of effective tools for visualizing spatial organization and morphometric variability of teleost muscle fibers, a feature that is important for understanding hyperplastic muscle growth dynamics in teleosts. In this study, we show that cytoplasmic staining combined with deep learning-based cell segmentation offers a robust and accurate approach for automated muscle morphometry analysis in developing zebrafish. We also introduce a FIJI2 plugin, implemented in Jython, that streamlines both morphometric analysis and visualization. This tool accommodates shallow and deep learning-based segmentation techniques and incorporates novel quantification and visualization methods suited to teleost-specific muscle features, including mosaic hyperplasia dynamics. The plugin features an intuitive graphical user interface and is designed for flexibility, with minimal constraints regarding species, image quality, or staining protocol. Its modular architecture allows it to be used as a baseline for automated muscle morphometry analysis, while permitting integration with other tools and workflows.

cell biology↗

bioRxiv2026

Divergence in skeletal muscle growth by differential spatial hyperplastic patterning in teleost fishes

Skeletal muscle plays important locomotive and metabolic functions, yet its formation and maintenance are processes remaining largely unclear mechanistically in any animal. Teleost fishes display extraordinary muscle growth due to their ability to undergo both hyperplasia and hypertrophy throughout life. These phenomena vary greatly even between closely related species, providing opportunities to elucidate growth dynamics and underlying mechanisms through cross-species comparisons. Using histological and genetic approaches, we compared muscle growth dynamics in three closely related danionin species with distinct growth capacities: the giant danio (Devario malabaricus), the zebrafish (Danio rerio), and Danionella cerebrum, as well as the more distantly related African turquoise killifish (Nothobranchius furzeri). Our study reveals alterations in spatial patterning of muscle hyperplasia and developmental timing to be major contributors to observed differences in muscle growth between examined species. Single-cell RNA profiling, in situ hybridization chain reaction and cell type-specific mutagenesis revealed muscle stem cell-specific expression of extracellular matrix genes that mediate stem cell activity, which in turn may drive growth differences between species. Taken together, our findings highlight autonomous regulation of muscle stem cells as a conserved but adaptable mechanism governing muscle patterning and diversification.

evolutionary biology↗

bioRxiv2026

Observing concurrent subcellular dynamics in large living tissues

An outstanding question in eukaryotic biology is the mechanistic connection between events occurring at (sub)cellular levels (time scales of milliseconds to minutes) to those at the tissue levels (tens of minutes to months). Deciphering such mechanisms requires imaging approaches capable of simultaneously achieving high spatial and temporal resolutions for large samples over long periods of time. Here, we demonstrate Airy beam-based light sheet microscopy of organelles in tens to hundreds of cells in a few hundred micrometre-wide tissue environments. We achieve a typical resolution of 320 nm over 266 x 266 x 100 m3 volumes at a temporal rate of 0.05 Hz, typically with generally used fluorophores such as Green Fluorescent Protein, over extended periods of time that allow tracking of organelle and protein dynamics. We validated our approach across different length and time scales by imaging mitochondria and endosome dynamics in very large fields of view in zebrafish tissue, molecular assemblies of myosin as gastrulation proceeds in Drosophila embryos, 3D mitochondrial streaming in mouse oocytes, pressure-driven motility and protrusions in amoebae, mitochondrial dynamics in cancer spheroids, 5 -colour fast imaging in iBlastoids, and endosomal dynamics in single cells. Through these model systems, we demonstrate the versatility of Airy beam light sheet microscopy to image large tissues at unprecedented high resolution; to capture dynamics in photosensitive, delicate samples; and to screen 3D samples. We anticipate that our Airy beam-based approach will represent a pivotal advance in cellular biology--especially developmental biology--as it provides, for the first time, true subcellular resolution over large imaging volumes with high temporal resolution.

developmental biology↗

bioRxiv2026

Ancient origin of the dorso-ventral patterning system of vertebrate paired fins

The origin of paired fins was a major event in early vertebrate history that fuelled the adaptive radiation of the gnathostome clade. Evidence for the conservation of ancient regulatory systems between paired and median fins supports a model in which appendage-patterning mechanisms first evolved in the midline and were later redeployed to a new embryonic context, the flank. However, while paired fins and limbs are asymmetric along the dorso-ventral (DV) axis, the equivalent axis does not exist in median fins, which are symmetric across the midline, raising questions of how DV patterning evolved. Here, we combine genetic tools in zebrafish with comparative expression analyses in representative ray-finned and cartilaginous fishes to show that a subset of limb dorsoventral (DV) patterning genes are expressed during median fin development. Using genetic lineage tracing of the canonical limb dorsalizing factor lmx1bb, we further demonstrate that, although lmx1bb-derived cells occupy distinct spatial domains across fin types, a subset of this lineage is fated to differentiate into fin-ray osteoblasts in both paired and median fins. To test the potential conservation of regulatory modules across fin types, we generated a series of deletion mutants for two known lmx1b mouse limb enhancers, LARM1 and LARM2, that we show are partially conserved upstream of zebrafish lmx1bb. These experiments revealed that LARM function is essential for dorsoventral patterning in the paired pectoral and pelvic fins of zebrafish but is dispensable for formation of the unpaired dorsal and anal fins. To determine if the paired fin specificity of LARM-mediated lmx1b regulation is a feature of more basal gnathostomes, we used a single cell multiomics (RNAseq + ATACseq) approach in the epaulette shark Hemiscyllium ocellatum, a representative chondrichthyan and outgroup to osteichthyans. Strikingly, these analyses demonstrated linkages between the LARM1 enhancer and lmx1b in the unpaired dorsal fins of epaulette sharks, as well as the deployment of a Lmx1b-mediated regulatory network whose core downstream components are conserved between dorsal fins, paired fins, and limbs. Collectively, these data support the ancient origin of a "DV" regulatory module in median fins that was redeployed during the early evolution paired fins, facilitating the assembly of the DV patterning axis. Intriguingly, multiome-based inference of global fin network architecture in epaulette shark also revealed reduced regulatory complexity in pectoral relative to median fins, suggesting that co-option as a mechanism for anatomical innovation can proceed through selective streamlining of ancestral network components.

developmental biology↗

bioRxiv2022

Systems-level investigation of mucopolysaccharidosis IIIA identifies deficient synaptic activity as a key driver of disease progression

Mucopolysaccharidoses are lysosomal storage diseases that collectively represent a major cause of lethal, treatment-refractory childhood dementias 1-7 Clinically-useful interventions are hampered due to an incomplete understanding of their neuropathological origins. Using the zebrafish sgsh model of mucopolysaccharidosis IIIA 8 (MPS IIIA, Sanfilippo syndrome A), we conducted several omics-based analyses, and developed and benchmarked a novel bioinformatic feature classification and ranking model for high-throughput datasets - ExIR - to prioritise important features in the progression of neurological manifestations of the disease. We find that the massive endolysosomal burden resulting from increased lysosomal storage of heparan sulfate and other secondarily accumulating substrates, such as sphingolipids, induces abnormal microtubule organisation and vesicle trafficking in neurons. This results in a gradual impairment of synaptic vesicle localisation at the presynaptic terminal and consequently impaired neuronal activity. Importantly, the endolysosomal phenotype in MPS IIIA zebrafish well-precedes the onset of neural pathology, though the larval MPS IIIA brain was found to be more susceptible to perturbation than wild type siblings. Collectively, these analyses demonstrate the presence of a progressive functional neurodegenerative phenotype underpinning neurological disease in MPS IIIA. Our findings provide direct mechanistic evidence linking the well-described lysosomal storage basis for MPS IIIA to its disproportionately severe neural clinical involvement, enabling development and refinement of future therapeutic interventions for this currently untreatable disorder. HighlightsO_LIMPS IIIA represents one of the most common causes of broadly fatal childhood dementia, but the mechanisms underlying disease progression are poorly understood. C_LIO_LIThe first systems-level analyses of disease state and progression in the CNS of an MPS IIIA animal model were performed. C_LIO_LIExperimental data-based Integrative Ranking (ExIR) was developed to provide unbiased prioritisation and classification of biological data as drivers, biomarkers and mediators of biological processes from high-throughput data at a systems level. C_LIO_LIApplication of ExIR to a transcriptomic and proteomic analyses of a zebrafish model of MPS IIIA implies progressive deficiencies in synaptic activity as a key driver of disease progression correlating with progressive neuronal endolysosomal burden and secondary storage diseases. C_LIO_LIA novel unifying explanation of pathobiology and progression of MPS IIIA facilitates identification of clinically targetable features and may be generalised to other neuronopathic storage disorders. C_LI

neuroscience↗

bioRxiv2022

Parallel use of pluripotent human stem cell lung and heart models provide new insights for treatment of SARS-CoV-2

SARS-CoV-2 primarily infects the respiratory tract, but pulmonary and cardiac complications occur in severe COVID-19. To elucidate molecular mechanisms in the lung and heart, we conducted paired experiments in human stem cell-derived lung alveolar type II (AT2) epithelial cell and cardiac cultures infected with SARS-CoV-2. With CRISPR- Cas9 mediated knock-out of ACE2, we demonstrated that angiotensin converting enzyme 2 (ACE2) was essential for SARS-CoV-2 infection of both cell types but further processing in lung cells required TMPRSS2 while cardiac cells required the endosomal pathway. Host responses were significantly different; transcriptome profiling and phosphoproteomics responses depended strongly on the cell type. We identified several antiviral compounds with distinct antiviral and toxicity profiles in lung AT2 and cardiac cells, highlighting the importance of using several relevant cell types for evaluation of antiviral drugs. Our data provide new insights into rational drug combinations for effective treatment of a virus that affects multiple organ systems. One-sentence summaryRational treatment strategies for SARS-CoV-2 derived from human PSC models

microbiology↗

bioRxiv2020

Macrophages provide a transient muscle stem cell niche via NAMPT secretion

Skeletal muscle is paradigmatic of a regenerative tissue that repairs itself via the activation of a resident stem cell1. Termed the satellite cell, these normally quiescent cells are induced to proliferate by ill-defined wound-derived signals2. Identifying the source and nature of these pro-regenerative cues has been hampered by an inability to visualise the complex cellular interactions that occur within the wound environment. We therefore developed a zebrafish muscle injury model to systematically capture satellite cell interactions within the injury site, in real time, throughout the repair process. This analysis identified that a specific subset of macrophages dwells within the injury, establishing a transient but obligate stem cell niche required for stem cell proliferation. Single cell profiling identified specific signals secreted from dwelling macrophages that include the cytokine, Nicotinamide phosphoribosyltransferase (NAMPT/Visfatin/PBEF). Here we show that NAMPT secretion from the macrophage niche is required for muscle regeneration, acting through the C-C motif chemokine receptor type 5 (CCR5) expressed on muscle stem cells. This analysis reveals that along with their well-described ability to modulate the pro-inflammatory and anti-inflammatory phases of wound repair, specific macrophage populations also provide a transient stem cell-activating niche, directly supplying pro-proliferative cues that govern the timing and rate of muscle stem cell-mediated repair processes.

cell biology↗

bioRxiv2020

IHS: an integrative method for the identification of network hubs

Biological systems are composed of highly complex networks and decoding the functional significance of individual network components is critical for understanding healthy and diseased states. Several algorithms have been designed to identify the most influential regulatory points, or hub nodes, within a network. However, none of the current methods correct for inherent positional biases which limits their applicability. In addition, none of the currently available hub detection algorithms effectively combine network centrality measures together. To overcome this computational deficit, we undertook a statistical assessment of 200 real-world and simulated networks to decipher associations between centrality measures, and developed a novel algorithm termed "integrated hubness score" (IHS), which integrates the most important and commonly used network centrality measures, namely degree centrality, betweenness centrality and neighbourhood connectivity, in an unbiased way. When compared against the four most commonly used hub identification methods on four independent validated biological networks, the IHS algorithm outperformed all other assessed methods. Using this novel and universal method, researchers of any discipline can now identify the most influential network nodes.

systems biology↗