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Dorgau, B.

Publications and source records attributed to Dorgau, B..

5 recordsLinked to original sources

Transient Vascular Cell Integration and Intrinsic Media-Stimulated Endothelial Activation Reveal Diabetic Retinopathy Signatures in Human Retinal Organoids

Retinal organoids (ROs) model human retinogenesis but remain avascular and lack immune components, limiting their utility for studying vascular retinopathies. We generated vascular organoids (VOrs) from human pluripotent stem cells and evaluated their integration into developing ROs. Dissociated VOr cells (day 12 or day 30) were seeded onto 2D retinal neuroepithelium before 3D transition, followed by long-term culture to day 210. VOr derived cells migrated into ROs and transiently persisted. V30 ROs preserved retinal lamination, major neuronal subtypes and light evoked retinal ganglion cell responses comparable to non vascularised controls, whereas media-only ROs cultured in proangiogenic conditions showed structural disorganisation and reduced neuronal survival. Single-cell RNA sequencing revealed an endogenous, inflammatory endothelial-like population with partial endothelial-to-mesenchymal features and a perivascular fibroblast-like cluster in pro-angiogenic media only RO controls. The endothelial-like cell cluster was significantly enriched for genes upregulated in human retinal endothelial cells exposed to high glucose, indicating a diabetic retinopathy like transcriptional state. Microglia like and border associated macrophage populations were present across all conditions, with developmental shifts in morphology and marker expression. Our findings define conditions under which vascular cells can be incorporated into human ROs without disrupting retinal architecture, while uncovering an intrinsic capacity for inflammatory endothelial activation that partially recapitulates diabetic retinopathy. This work advances the engineering of vascularised, immunocompetent retinal models and highlights endogenous vascular immune programmes that must be considered when modelling retinal disease in vitro.

neuroscience↗

Photostimulation Improves Maturation of Human Photoreceptors

The human retina contains photoreceptor cells that detect light and enable vision. The development of these cells involves a tightly regulated cascade of structural and molecular events, and their dysfunction leads to irreversible blindness in many retinal diseases. Human retinal organoids derived from stem cells have become powerful tools to model retinal development and disease, but they often remain immature and lack key features required for full function. Light is not only the sensory target of photoreceptors but also an important developmental signal in vivo. However, light has rarely been used as a deliberate stimulus during in vitro differentiation. Here we show that exposing retinal organoids to rhythmic light flicker at a specific frequency enhances photoreceptor maturation across multiple levels. This stimulation improves the development of outer segments, accelerates the transcriptional transition from precursor to mature photoreceptors, and strengthens functional connectivity with downstream neurons. These findings identify patterned light as a potent and physiologically relevant signal for driving retinal development in vitro. This approach represents a non-invasive and easily scalable method for improving the quality of retinal organoids, with implications for disease modelling, drug discovery and the preparation of photoreceptors for cell-based therapies.

cell biology↗

STExplorer: Navigating the Micro-Geography of Spatial Omics Data

Spatial transcriptomics (ST) has the potential to provide unprecedented insights into gene expression across tissue architecture, but existing analytical methods often overlook the full complexity of the spatial dimension. We present STExplorer, an R package that adapts well-established computational geography (CG) methods to explore the micro-geography of spatial omics data. By incorporating techniques like Geographically Weighted Principal Component Analysis (GWPCA), Fuzzy Geographically Weighted Clustering (FGWC), Geographically Weighted Regression (GWR), and analyses of observation Spatial Autocorrelation (SA), STExplorer enables the uncovering of spatially resolved patterns that capture the spatial heterogeneity of biological data. STExplorer provides a complete suite of functions for spatial analyses and visualisations, supporting deeper biological understanding and inference. Built on the Bioconductor ecosystem, the package integrates with SpatialFeatureExperiment objects, ensuring compatibility with existing pipelines. It includes preprocessing capabilities such as data import, quality control, gene count normalisation, and variable gene selection, alongside tools for downstream analysis and detailed visualisations that quantify and map spatial heterogeneity and relationships. We demonstrate the utility of STExplorer through applications to spatial transcriptomics datasets, revealing that spatially varying gene expression and relationships are often masked by standard analyses. By bridging bioinformatics and CG, STExplorer provides a novel and informed approach to spatial transcriptomics analysis, with robust tools to address spatial heterogeneity and its associated underlying biology, thereby advancing our understanding of complex tissue biology without reinventing the wheel.

bioinformatics↗

Deciphering the spatio-temporal transcriptional and chromatin accessibility of human retinal organoid development at the single cell level

Molecular information on the early stages of human retinal development remains scarce due to limitations in obtaining early human eye samples. Pluripotent stem cell-derived retinal organoids provide an unprecedented opportunity for studying early retinogenesis. Using a combination of single cell RNA-Seq and spatial transcriptomics we present for the first-time a single cell spatio-temporal transcriptome of retinal organoid development. Our data demonstrate that retinal organoids recapitulate key events of retinogenesis including optic vesicle/cup formation, formation of a putative ciliary margin zone, emergence of retinal progenitor cells and their orderly differentiation to retinal neurons. Combining the scRNA-with scATAC-Seq data, we were able to reveal cell-type specific transcription factor binding motifs on accessible chromatin at each stage of organoid development and to show that chromatin accessibility is highly correlated to the developing human retina, but with some differences in the temporal emergence and abundance of some of the retinal neurons.

developmental biology↗

Transplanted pluripotent stem cell-derived photoreceptor precursors elicit conventional and unusual light responses in mice with advanced retinal degeneration

Retinal dystrophies often lead to blindness. Developing therapeutic interventions to restore vision is therefore of paramount importance. Here we demonstrate the ability of pluripotent stem cell-derived cone precursors to engraft and restore light responses in the Pde6brd1 mouse, an end-stage photoreceptor degeneration model. Up to 1.5% of precursors integrated into the host retina, differentiated into cones and formed synapses with bipolar cells. Half of the transplanted mice exhibited visual behaviour and 33% showed binocular light sensitivity. The majority of ganglion cells exhibited contrast-sensitive ON, OFF or ON-OFF light responses and even motion sensitivity. Many cells also exhibited unusual responses (e.g. light-induced suppression), presumably reflecting remodelling of the neural retina. Our data indicate that despite relatively low engraftment yield, engrafted pluripotent stem cell-derived cone precursors can elicit light responsiveness even at advanced degeneration stages. Further work is needed to improve engraftment yield and counteract retinal remodelling to achieve useful clinical applications.

neuroscience↗