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Scurr, M.

Publications and source records attributed to Scurr, M..

3 recordsLinked to original sources

Nephron segmentation and patterning in kidney organoids can be modulated by distinct FGF subfamily members

Human pluripotent stem cell-derived kidney organoids replicate embryonic nephrogenesis in a 3D-culture system. Recent advances suggest that refining the culture environment to replicate spatiotemporal cues present during embryonic organogenesis improves patterning. Here, this paradigm was applied to FGF signalling, a key regulator of embryonic nephron progenitor maintenance, nephrogenesis and ureteric branching. Both FGF8b and FGF10 signalling is sufficient to support nephrogenesis, with each having distinct effects on nephron patterning. FGF10 enhanced the initial WT1+ mesenchymal population, leading to proximally biased nephrons, while FGF8b biased toward early distal patterning, leading to the formation of cells with connecting segment identity. The addition of both FGF8b and FGF10 together had an additive effect, leading to a balance of proximal and distal patterning. This differential patterning was retained in tissue transplanted under the murine renal capsule, with FGF8b-treated organoids displaying increased distal/connecting segments. These findings highlight plasticity during organoid nephrogenesis that can be modulated by FGF signalling and identify an approach to refine nephrogenesis toward key cell types.

developmental biology↗

Application of spatial transcriptomics across organoids: a high-resolution spatial whole-transcriptome benchmarking dataset

Stem cell-derived organoids hold promise to model tissue-specific disease. To enable this, it is crucial to assess how transcriptional signatures, cellular organisation and composition of organoids compare to in vivo counterparts. However, technologies which elucidate regional molecular identity, like spatial transcriptomics, have been challenging to apply to organoids. This study presents the first systematic profiling of multiple stem cell derived organoid models (brain, heart muscle, heart valve, kidney, lung, cartilage, and haematopoietic) with Stereo-seq, a full transcriptome, spatial transcriptomics assay using on-chip in situ RNA capture at subcellular resolution. It describes optimisation of this assay to characterise organoids, use of multiple organoid samples on a single chip, assess differences in RNA capture efficiency compared to reference tissues and its limitations. This study introduces a bespoke analysis method that partitions samples into regions and further characterises them. These findings inform future works to characterise organoids using spatial transcriptomics, providing insights in optimising RNA capture of multiple organoids across a chip and novel methods for regional analysis.

bioinformatics↗

Enhanced metanephric specification to functional proximal tubule enables toxicity screening and infectious disease modelling in kidney organoids

While pluripotent stem cell-derived kidney organoids are now being used to model renal disease, the proximal nephron remains immature with limited evidence for key functional solute channels. This may reflect early mispatterning of the nephrogenic mesenchyme and/or insufficient maturation. Here we show that enhanced specification to metanephric nephron progenitors results in elongated and radially aligned proximalised nephrons with distinct S1 - S3 proximal tubule cell types. Such PT-enhanced organoids possess improved albumin and organic cation uptake, appropriate KIM-1 upregulation in response to cisplatin, and improved expression of SARS-CoV-2 entry factors resulting in increased viral replication. The striking proximo-distal orientation of nephrons resulted from localized WNT antagonism originating from the organoid stromal core. PT-enhanced organoids represent an improved model to study inherited and acquired proximal tubular disease as well as drug and viral responses.

bioengineering↗