Biology subjects

Sharpe, J.

Publications and source records attributed to Sharpe, J..

18 recordsLinked to original sources

bioRxiv2025

3D Mapping of Intact Ovaries Reveals the Aging Dynamics of the Ovarian Reserve

Female fertility depends on a finite pool of oocytes that depletes during aging, yet the spatiotemporal dynamics of this depletion remain poorly understood. Traditional methods obscure the 3D architecture of the ovary, limiting quantitative insights. Here, we combine light-sheet microscopy, artificial intelligence (AI)-driven segmentation, and mathematical modeling to map over 85,000 oocytes in whole-ovaries across the reproductive lifespan in mouse. We find that newly activated oocytes represent a fixed fraction of the ovarian reserve, despite an age-related decline in total oocyte numbers. Spatial analysis revealed that oocytes are enriched along the lateral ovarian axis, and local oocyte density positively correlates with activation. We also uncover a bimodal distribution of oocyte sizes, suggesting a bottleneck during oogenesis. Finally, a differential equation-based model captures the kinetics of oocyte activation and loss. Our findings establish a quantitative framework for understanding ovarian aging and suggest that an organ-scale regulatory mechanism coordinates the age-related decline in oocyte numbers.

cell biology↗

bioRxiv2025

Innate immune responses to Plasmodium falciparum disrupt the blood-brain barrier

Plasmodium falciparum accumulation at the blood-brain barrier (BBB) is a hallmark of cerebral malaria, a life-threatening complication. Conversely, the contribution of the immune response to vascular injury has long been debated. Here, we studied the role of innate immune cells as potential effectors of vascular damage using a human in vitro 3D-BBB model. Parasite-stimulated immune cells from malaria-naive donors increased adhesion to microvessels, at least partly through LFA-1. This caused barrier disruption and inflammatory activation of BBB cells. Secretion of TNF-, IFN-{gamma}, and granzyme B by monocytes, NK and {gamma}{delta} T cells correlated with vascular injury, and accumulation of immune cells was required for local barrier damage. Our computational analysis disentangled pathogenic mechanisms driven specifically by either P. falciparum parasite or immune cells, as well as shared pathways. These findings demonstrate how vascular-immune interactions may contribute to vascular injury in cerebral malaria and point towards the potential of immunomodulatory therapeutics.

immunology↗

bioRxiv2025

LimbLab: Pipeline for 3D Analysis and Visualisation of Limb Bud Gene Expression

MotivationAlthough some aspects of limb development can be treated as a 2D problem, a true understanding of the morphogenesis and patterning requires 3D analysis. Since the data on gene expression patterns are largely static 3D image stacks, a major challenge is an efficeint pipeline for staging each data-set, and then aligning and warping the data into a standard atlas for convenient visualisation. ResultsWe present a novel bioinformatic pipeline tailored for 3D visualization and analysis of developing limb buds. The pipeline integrates key steps such as data acquisition, volume cleaning, surface extraction, staging, alignment, and advanced visualization techniques. Its modular design allows researchers to customize workflows while maintaining compatibility with tools such as Fiji and Vedo. Our results highlight the pipelines effectiveness in managing complex 3D gene expression data, enhancing the accuracy and reproducibility of limb development studies. Availability and ImplementationLimbLab is released under the MIT license. The pipeline is implemented in Python and is available as an open-source package. It can be easily installed via pip and is accompanied by comprehensive documentation (https://limblab.embl.es/) to support users at various levels of expertise. The pipeline can be accessed and downloaded at https://github.com/LauAvinyo/limblab.

bioinformatics↗

bioRxiv2025

Axial patterning of gastruloids via diverse cell type compositions

The formation of the germ layers and antero-posterior (AP) axial patterning are interlinked milestones of embryogenesis. Gastruloids, in vitro models from aggregated embryonic stem cells (ESCs), permit the study and deconstruction of these events. Gastruloids are successfully generated from ESCs of variable pluripotent states, but it remains unknown how the initial conditions influence cell type composition and to what degree resulting variations in spatial patterning can converge onto an elongated body axis. To address this, we comparatively study aggregates from varying proportions of primed and naive ESCs. Despite differences in AP symmetry-breaking dynamics and distinct trajectories toward either anterior mesodermal or neuro-ectodermal fates, all conditions produce elongated gastruloids. Furthermore, timed modulation of Activin/Nodal signaling in aggregates equalizes AP polarization modes and mixing of initial ESC pluripotent states generates gastruloids with enhanced tissue type diversity. This work therefore uncovers a previously unappreciated developmental flexibility underlying mammalian AP axial patterning.

developmental biology↗

bioRxiv2024

WNT signaling coordinately controls mouse limb bud outgrowth and establishment of the digit-interdigit pattern

Self-organization, such as the emergence of a pattern from a homogenous state, is a fascinating property of biological systems. Early limb bud outgrowth and patterning in mice are controlled by a robust and self-regulatory signaling system, and initiation of the periodic digit-interdigit pattern appears under control of a self-regulatory Turing system. Previous studies established the requirement of WNT and BMP signaling for both early limb bud and digit-interdigit morphogenesis, but the molecular changes underlying the transition from early limb bud signaling to the digit-interdigit patterning system remained unknown. Here, we use small molecule inhibitors to rapidly but transiently block WNT signaling to identify the early transcriptional targets that are altered during disruption and recovery of limb bud and digit development. Together, this study highlights the overarching role of WNT signaling in controlling early limb bud outgrowth and patterning, and establishment of the periodic digit-interdigit pattern. Finally, the transient WNT signaling disruption approach reveals the plasticity and robustness of these self-organizing limb bud and digit patterning systems.

developmental biology↗

bioRxiv2024

Pathogenic mechanisms of Plasmodium falciparum egress unveiled by a microvascular 3D blood-brain barrier model

Cerebral malaria is a severe neurovascular complication of Plasmodium falciparum infection, with high mortality rates even after treatment with effective antimalarials. Limitations in current experimental models have hindered our knowledge of the disease. We developed a 3D blood-brain barrier (BBB) model with enhanced barrier properties using primary brain endothelial cells, astrocytes and pericytes. Exposure to parasite egress products increased microvascular permeability, likely due to transcriptional downregulation of junctional and vascular development genes in endothelial cells. In addition, it increased the expression of ferroptosis markers, antigen presentation and type I interferon genes and upregulated the JAK-STAT pathway across all BBB cell types. Incubation with cytoadherent schizont-stage P. falciparum-infected erythrocytes induced a similar, but highly localized transcriptional shift, along with inter-endothelial gaps at sites of parasite egress, significantly increasing permeability. The co-administration of egress products with the JAK-STAT inhibitor Ruxolitinib prevented junctional disruption and BBB breakdown. These findings provide key insights into the parasite-mediated mechanisms driving brain microvascular pathogenesis in cerebral malaria and suggest potential avenues for adjunctive therapies.

microbiology↗

bioRxiv2024

Spatio-temporal Reconstruction of Gene Expression Patterns in Developing Mice

Understanding gene regulation in organism development is crucial in biology. Techniques like whole-mount in situ hybridization can reveal spatial gene expression in organs and tissues. However, capturing time-lapse images of gene expression dynamics in embryos developing in utero, such as mice, remains technically challenging beyond the early stages. To address this, we present a method to integrate static snapshots of gene expression patterns across limb developmental stages, creating a continuous 2D reconstruction of gene expression patterns over time. This method interpolates small tissue regions over time to create smooth temporal trajectories of gene expression. We successfully applied it to a number of key genes in limb development, including Sox9, Hand2, and Bmp2. This approach enables a detailed spatio-temporal mapping of gene expression, providing insights into developmental mechanisms. By estimating Gene Expression Patterns at previously unobserved time points, it facilitates the comparison of these patterns across samples. The reconstructed trajectories offer high-quality data that will be useful to guide computational modeling and machine learning, advancing the study of developmental biology in systems where real-time imaging is technically difficult or impossible.

developmental biology↗

bioRxiv2024

LimbNET: collaborative platform for simulating spatial patterns of gene networks in limb development

Successful computational modelling of complex biological phenomena will depend on the seamless sharing of models and hypotheses among researchers of all backgrounds - experimental and theoretical. LimbNET, a new online tool for modelling, simulating and visualising spatiotemporal patterning in limb development, aims to facilitate this process within the limb development community. LimbNET enables remote users to define and simulate arbitrary gene regulatory network (GRN) models of 2D spatiotemporal developmental patterning processes. Researchers can test and compare each others hypotheses - GRNs and predicted spatiotemporal patterns - within a common framework. A database of previously created models empowers users to simulate, explore, and extend each others work. Spatiotemporally-varying gene expression intensities, derived from image-based data, are mapped into a standardised computational description of limb growth, integrated within our modelling framework. This enables direct comparison not only between datasets but between data and simulation outputs, closing the feedback loop between experiments and simulation via parameter optimisation. All functionality is accessible through a web browser, requiring no special software, and opening the field of image-driven modelling to the full scientific community.

systems biology↗

bioRxiv2024

Cell 3D Positioning by Optical encoding (C3PO) and its application to spatial transcriptomics

Current state-of-the-art spatial omics approaches suffer from the drawback that they are tissue section-based and thus inherently 2-dimensional. A full understanding of biological processes will only be possible when such data is available in 3-dimensions (3D). Here, we introduce Cell 3D Positioning by Optical encoding (C3PO) - the first technique capable of reconstructing the 3D positions of cells in a tissue, after they have been fully dissociated for single-cell omics analysis. It imposes a Cartesian coordinate system of positions on the tissue and cells of interest, before dissociation. This is created by multiple orthogonal spatial gradients of active fluorophores, carefully shaped by a 3D bleaching method, such that each position in the tissue is encoded by a unique fluorescent address. Upon dissociation of the tissue the fluorescent addresses of the cells can be read via an appropriate device (such as a FACS machine) to computationally reconstruct the tissue in 3D, before omics are performed downstream. Here, we show two proof-of-principle results for C3PO. First, pure C3PO without omics, to reconstruct the 3D geometry of a developing mouse limb bud. Second, an application of C3PO to spatial transcriptomics, revealing the expression patterns of 73 genes with interesting gene expression patterns in the developing limb.. C3PO is a genuinely novel approach to reconstruct the original 3D positions of cells in a tissue after dissociation. Combined with transcriptomics, it can play a significant role in the study of any tissue or organ in which 3D structure and geometry is important, such as developmental biology, cancer biology and neuroscience. It is not an omics technique per se, and in the future could be combined with the growing family of other omics technologies. One sentence summaryC3PO is a novel optical technique that can preserve the 3D positional coordinates of cells after tissue dissociation, enabling a radically new approach to spatial transcriptomics.

molecular biology↗

bioRxiv2023

Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis

BackgroundRecent advances in sample-multiplexing droplet-based single-cell RNA sequencing (mx-scRNA-seq) enable us to evaluate large numbers of different samples or experiments simultaneously by reducing the occurrence of undetectable multiplets, that is, the droplets that capture multiple cells. However, the probability of potential multiplets in mx-scRNA-seq is yet to be quantitatively examined. ResultsWe developed a simple theoretical model to predict four classes of possible multiplets in mx-scRNA-seq: Homogeneous stealth, partial stealth, multilabelled, and unlabelled. We estimated the probability of each class and have found that the partial tsealth multiplet, which has been overlooked, may sub-stantially affect the whole data when the labelling process is suboptimal. Next, we illustrated their presence in actual mx-scRNA-seq datasets when the sample labelling was suboptimal. In addition, we found that choosing a suitable sample-demultiplexing algorithm was critical to circumvent the partial stealth multiplets. ConclusionOur results show the necessity of optimising the labelling procedure and offer a theoretical basis to estimate the probability of each type of multiplets to ensure the integrity of mx-scRNA-seq.

molecular biology↗

bioRxiv2021

4D reconstruction of developmental trajectories using spherical harmonics

Although the full embryonic development of species such as Drosophila and zebrafish can be 3D imaged in real time, this is not true for mammalian organs, as normal organogenesis cannot be recapitulated in vitro. Currently available 3D data is therefore ex vivo images which provide only a snap shot of development at discrete moments in time. Here we propose a computer-based approach to recreate the continuous evolution in time and space of developmental stages from 3D volumetric images. Our method uses the mathematical approach of spherical harmonics to re-map discrete shape data into a space in which facilitates a smooth interpolation over time. We tested our approach on mouse limb buds (from E10 to E12.5) and embryonic hearts (from 10 to 29 somites). A key advantage of the method is that the resulting 4D trajectory takes advantage of all the available data (i.e. it is not dominated by the choice of a few "ideal" images), while also being able to interpolate well through time intervals for which there is little or no data. This method not only provides a quantitative basis for validating predictive models, but it also increases our understanding of morphogenetic processes. We believe this is the first data-driven quantitative 4D description of limb morphogenesis.

developmental biology↗

bioRxiv2021

Dynamics of anteroposterior axis establishment in a mammalian embryo-like system

1.In the mammalian embryo, specification of the anteroposterior (AP) axis demarcates one of the first steps of body plan formation. While this process requires interactions with extra-embryonic tissues in the native embryo, minimal in vitro systems from embryonic stem cells (ESCs) undergo initial AP polarization in the absence of any localized, external cues. This self-organizing potential of stem cells remains not well understood. Here, we study such an initial symmetry breaking event in gastruloids, an established in vitro model for mammalian body plan formation, using the mesodermal marker gene Brachyury or T (Bra/T) to denote the onset of AP axis specification and concomitant germ layer formation. Through aggregate fusion experiments and manipulation of initial culture conditions as well as key developmental signalling pathways, we probe the dynamics of Bra/T polarization. We further conduct single-cell (sc) RNA sequencing of gastruloids at early stages to identify incipient molecular signatures of germ layer commitment and differences between Bra/T+ and Bra/T- populations during as well as after symmetry breaking. Moreover, we transcriptionally compare early development of gastruloids to the mouse embryo and conclude that gastruloids reproducibly undergo AP axis and germ layer specification in a parallel, but distinct manner: While their primed pluripotent cell populations adopt a more mesenchymal state in lieu of an epithelial epiblast-like transcriptome, the emerging mesendodermal lineages in vitro are nevertheless similar to their in vivo equivalents. Altogether, this study provides a comprehensive analysis of self-organized body plan establishment in a minimal in vitro system of early mammalian patterning and highlights the regulative capacity of mESCs, thereby shedding light on underlying principles of axial polarity formation.

developmental biology↗

bioRxiv2019

Salivary gland macrophages assist tissue-resident CD8+ T cell immune surveillance

Tissue macrophages and tissue resident memory CD8+ T cells (TRM) play important roles for pathogen sensing and rapid protection of barrier tissues. To date, it is incompletely understood how these two cell types cooperate for efficient organ surveillance during homeostasis. Here, we used intravital imaging to show that TRM dynamically crawled along tissue macrophages in murine submandibular salivary glands (SMG) during the memory phase following a viral infection. Ex vivo confined SMG TRM integrated an unexpectedly wide range of migration modes: in addition to chemokine-and adhesion receptor-driven motility, SMG TRM displayed a remarkable capacity of autonomous motility in the absence of chemoattractants and adhesive ligands. This unique intrinsic SMG TRM motility was transmitted by friction and adaptation to microenvironmental topography through protrusion insertion into permissive gaps. Analysis of extracellular space in SMG using super-resolution shadow imaging showed discontinuous attachment of tissue macrophages to neighboring epithelial cells, offering paths of least resistance for patrolling TRM. Upon tissue macrophage depletion, intraepithelial SMG TRM showed decreased motility and reduced epithelial crossing events, and failed to cluster in response to local inflammatory chemokine stimuli. In sum, our data uncover a continuum of SMG TRM migration modes and identify a new accessory function of tissue macrophages to facilitate TRM patrolling of the complex exocrine gland architecture.\n\nOne sentence summaryCombined in vitro and in vivo imaging of salivary gland-resident tissue memory CD8+ T cells (TRM) uncovers their unique migratory behavior and describes a novel accessory function of tissue macrophages to assist TRM surveillance.

immunology↗

bioRxiv2019

ya||a: GPU-powered Spheroid Models for Mesenchyme and Epithelium

ya||a is yet another parallel agent-based model for morphogenesis. It is several orders of magnitude faster than onventional models, because it runs on GPUs and because it has been designed for performance: Previously only complex and therefore computationally expensive models could simulate both mesenchyme and epithelium. We chose o extend the simple spheroid model by the addition of spin-like polarities to simulate epithelial sheets and tissue polarity. We also incorporate recently developed models for protrusions and migration. ya||a is written in concise, plain UDA/C++ and available at github.com/germannp/yalla under the MIT license.

systems biology↗

bioRxiv2018

Endogenous CRISPR arrays for scalable whole organism lineage tracing

The last decade has seen a renewed appreciation of the central importance of cellular lineages to many questions in biology (especially organogenesis, stem cells and tumor biology). This has been driven in part by a renaissance in genetic clonal-labeling techniques. Recent approaches are based on accelerated mutation of DNA sequences, which can then be sequenced from individual cells to re-create a \"phylogenetic\" tree of cell lineage. However, current approaches depend on making transgenic alterations to the genome in question, which limit their application. Here, we introduce a new method which completely avoids the need for prior genetic engineering, by identifying endogenous CRISPR target arrays suitable for lineage analysis. In both mouse and zebrafish we identify the highest quality compact arrays as judged by equal base composition, 5 G sequence, minimal likelihood of residing in the functional genome, minimal off targets and ease of amplification. We validate multiple high quality endogenous CRISPR arrays, demonstrating their utility for lineage tracing. Our technique thus can produce deep and broad lineages in vivo, while removing the dependence on genetic engineering, and also avoiding the need for single-cell analysis.

developmental biology↗

bioRxiv2018

Epigallocatechin-3-Gallate Improves Facial Dysmorphology Associated with Down Syndrome

In Down syndrome (DS), the overall genetic imbalance caused by trisomy of chromosome 21 leads to a complex pleiotropic phenotype that involves a recognizable set of facial traits. Several studies have shown the potential of epigallocatechin-3-gallate (EGCG), a green tea flavanol, as a therapeutic tool for alleviating different developmental alterations associated with DS, such as cognitive impairment, skull dysmorphologies, and skeletal deficiencies. Here we provide for the first time experimental and clinical evidence of the potential benefits of EGCG treatment to facial morphology. Our results showed that mouse models treated with low dose of EGCG during pre- and postnatal development improved facial dysmorphology. However, the same treatment at high dose produced disparate facial morphology changes with an extremely wide and abnormal range of variation. Our observational study in humans revealed that EGCG treatment since early in development is associated with intermediate facial phenotypes and significant facial improvement scores. Overall, our findings suggest a potential beneficial effect of ECGC on facial development, which requires further research to pinpoint the optimal dosages of EGCG that reliably improve DS phenotypes. Current evidence warns against the non-prescribed intake of this supplement as a health-promoting measure.

pathology↗

bioRxiv2018

Quantification of gene expression patterns to reveal the origins of abnormal morphogenesis

The earliest developmental origins of dysmorphologies are poorly understood in many congenital diseases. They often remain elusive because the first signs of genetic misregulation may initiate as subtle changes in gene expression, which can be obscured later in development due to secondary phenotypic effects. We here develop a method to trace back the origins of phenotypic abnormalities by accurately quantifying the 3D spatial distribution of gene expression domains in developing organs. By applying geometric morphometrics to 3D gene expression data obtained by Optical Projection Tomography, our approach is sensitive enough to find regulatory abnormalities never previously detected. We identified subtle but significant differences in gene expression of a downstream target of the Fgfr2 mutation associated with Apert syndrome. Challenging previous reports, we demonstrate that Apert syndrome mouse models can further our understanding of limb defects in the human condition. Our method can be applied to other organ systems and models to investigate the etiology of malformations.

developmental biology↗

bioRxiv2017

Mechanistic causes of constrained phenotypic variation revealed by synthetic gene regulatory networks

Phenotypic variation is the raw material of adaptive Darwinian evolution. The phenotypic variation found in organismal development is biased towards certain phenotypes, but the molecular mechanisms behind such restrictions are still poorly understood. Gene regulatory networks have been proposed as one cause of constrained phenotypic variation. However, most of the evidence for this is theoretical rather than experimental. Here, we study evolutionary biases in two synthetic gene regulatory circuits expressed in E. coli that produce a gene expression stripe - a pivotal pattern in embryonic development. The two parental circuits produce the same phenotype, but create it through different regulatory mechanisms. We show that mutations cause distinct novel phenotypes in the two networks and use a combination of experimental measurements, mathematical modelling and DNA sequencing to understand why mutations bring forth only some but not other novel gene expression phenotypes. Our results reveal that the regulatory mechanisms of networks restrict the possible phenotypic variation upon mutation. Consequently, seemingly equivalent networks can indeed be distinct in how they constrain the outcome of further evolution.

systems biology↗