21 research outputs found

    Tuning the 3D microenvironment of reprogrammed tubule cells enhances biomimetic modeling of polycystic kidney disease

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    Renal tubular cells frequently lose differentiation markers and physiological properties when propagated in conventional cell culture conditions. Embedding cells in 3D microenvironments or controlling their 3D assembly by bioprinting can enhance their physiological properties, which is beneficial for modeling diseases in vitro. A potential cellular source for modeling renal tubular physiology and kidney diseases in vitro are directly reprogrammed induced renal tubular epithelial cells (iRECs). iRECs were cultured in various biomaterials and as bioprinted tubular structures. They showed high compatibility with the embedding substrates and dispensing methods. The morphology of multicellular aggregates was substantially influenced by the 3D microenvironment. Transcriptomic analyses revealed signatures of differentially expressed genes specific to each of the selected biomaterials. Using a new cellular model for autosomal-dominant polycystic kidney disease, Pkd1−/−^{-/-} iRECs showed disrupted morphology in bioprinted tubules and a marked upregulation of the Aldehyde dehydrogenase 1a1 (Aldh1a1). In conclusion, 3D microenvironments strongly influence the morphology and expression profiles of iRECs, help to unmask disease phenotypes, and can be adapted to experimental demands. Combining a direct reprogramming approach with appropriate biomaterials will facilitate construction of biomimetic kidney tubules and disease models at the microscale

    Reflective multi-immersion microscope objectives inspired by the Schmidt telescope

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    Imaging large, cleared samples requires microscope objectives that combine a large field of view (FOV) with a long working distance (WD) and a high numerical aperture (NA). Ideally, such objectives should be compatible with a wide range of immersion media, which is challenging to achieve with conventional lens-based objective designs. Here we introduce the multi-immersion 'Schmidt objective' consisting of a spherical mirror and an aspherical correction plate as a solution to this problem. We demonstrate that a multi-photon variant of the Schmidt objective is compatible with all homogeneous immersion media and achieves an NA of 1.08 at a refractive index of 1.56, 1.1-mm FOV and 11-mm WD. We highlight its versatility by imaging cleared samples in various media ranging from air and water to benzyl alcohol/benzyl benzoate, dibenzyl ether and ethyl cinnamate and by imaging of neuronal activity in larval zebrafish in vivo. In principle, the concept can be extended to any imaging modality, including wide-field, confocal and light-sheet microscopy

    The Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for large cleared samples

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    In 2015, we launched the mesoSPIM initiative (www.mesospim.org), an open-source project for making light-sheet microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging larger samples at higher speed and resolution has increased, requiring major improvements in the capabilities of light-sheet microscopy. Here, we introduce the next-generation mesoSPIM ("Benchtop") with significantly increased field of view, improved resolution, higher throughput, more affordable cost and simpler assembly compared to the original version. We developed a new method for testing objectives, enabling us to select detection objectives optimal for light-sheet imaging with large-sensor sCMOS cameras. The new mesoSPIM achieves high spatial resolution (1.5 μm laterally, 3.3 μm axially) across the entire field of view, a magnification up to 20x, and supports sample sizes ranging from sub-mm up to several centimetres, while being compatible with multiple clearing techniques. The new microscope serves a broad range of applications in neuroscience, developmental biology, and even physics

    Flow induces common and specific transcriptional changes in renal tubular epithelial cells involving the PI3K pathway

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    Flow-induced shear stress affects renal epithelial cells in the nephron tubule with potential implications for differential functionalities of the individual segments. Disruptions of cellular mechanosensation or flow conditions are associated with the development and progression of various renal diseases. This study investigates the effects of flow on the transcriptome of various renal tubular epithelial cell types. We analyzed the transcriptome of induced renal epithelial cells (iREC) cultured under physiological flow (0.57 ± 0.05 dyn/cm2^{2} ) or in static conditions for 72 h. RNA sequencing showed 861 differentially expressed genes (DEGs), with 503 up- and 358 downregulated under flow. DEGs were linked to extracellular matrix (ECM) components (e.g. Col1a1, Col4a3, Col4a4, Fn1, Smoc2), junctions (Gja1, Tubb5), channel activities (Abcc4, Aqp1), and transcription factors (Foxq1, Lgr6). Next, we performed a meta-analysis comparing our data with three published datasets that subjected epithelial cell lines from distinct segments to flow, including proximal tubule and collecting duct cells. We found that TGF-ß, p53, MAPK, and PI3K are common flow-regulated pathways. Tfrc expression and thus the capability of iron uptake is commonly upregulated under flow. Many DEGs were related to kidney diseases, such as fibrosis (e.g. Tgfb1-3 and Serpine1). To obtain further mechanistic insights we investigated the role of the PI3K pathway in flow sensing. Applying flow and inhibition of PI3K showed significantly altered expression of transcripts related to ECM remodeling, angiogenesis, and ion transport. This suggests that the PI3K pathway is a critical mediator in flow-dependent cellular processes and gene expression, potentially influencing renal development and tissue remodeling. Finally, we derived a cross-cell-line summary of common as well as segment-specific transcriptomic effects, thus providing insights into the molecular mechanisms underlying flow sensing in the nephron tubule

    Loss of CBY1 results in a ciliopathy characterized by features of Joubert syndrome

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    Ciliopathies are clinically and genetically heterogeneous diseases. We studied three patients from two independent families presenting with features of Joubert syndrome: abnormal breathing pattern during infancy, developmental delay/intellectual disability, cerebellar ataxia, molar tooth sign on magnetic resonance imaging scans, and polydactyly. We identified biallelic loss-of-function (LOF) variants in CBY1, segregating with the clinical features of Joubert syndrome in the families. CBY1 localizes to the distal end of the mother centriole, contributing to the formation and function of cilia. In accordance with the clinical and mutational findings in the affected individuals, we demonstrated that depletion of Cby1 in zebrafish causes ciliopathy-related phenotypes. Levels of CBY1 transcript were found reduced in the patients compared with controls, suggesting degradation of the mutated transcript through nonsense-mediated messenger RNA decay. Accordingly, we could detect CBY1 protein in fibroblasts from controls, but not from patients by immunofluorescence. Furthermore, we observed reduced ability to ciliate, increased ciliary length, and reduced levels of the ciliary proteins AHI1 and ARL13B in patient fibroblasts. Our data show that CBY1 LOF-variants cause a ciliopathy with features of Joubert syndrome

    Casein Kinase 1 alpha Phosphorylates the Wnt Regulator Jade-1 and Modulates Its Activity

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    Tight regulation of Wnt/beta-catenin signaling is critical for vertebrate development and tissue maintenance, and deregulation can lead to a host of disease phenotypes, including developmental disorders and cancer. Proteins associated with primary cilia and centrosomes have been demonstrated to negatively regulate canonical Wnt signaling in interphase cells. The plant homeodomain zinc finger protein Jade-1 can act as an E3 ubiquitin ligase-targeting beta-catenin for proteasomal degradation and concentrates at the centrosome and ciliary basal body in addition to the nucleus in interphase cells. We demonstrate that the destruction complex component casein kinase 1 beta(CK1 alpha) phosphorylates Jade-1 at a conserved SLS motif and reduces the ability of Jade-1 to inhibit beta-catenin signaling. Consistently, Jade-1 lacking the SLS motif is more effective than wild-type Jade-1 in reducing beta-catenin-induced secondary axis formation in Xenopus laevis embryos in vivo. Interestingly, CK1 alpha also phosphorylates beta-catenin and the destruction complex component adenomatous polyposis coli at a similar SLS motif to the effect that beta-catenin is targeted for degradation. The opposing effect of Jade-1 phosphorylation by CK1 alpha suggests a novel example of the dual functions of CK1 alpha activity to either oppose or promote canonical Wnt signaling in a context-dependent manner

    Fabrication of Kidney Proximal Tubule Grafts Using Biofunctionalized Electrospun Polymer Scaffolds

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    The increasing prevalence of end-stage renal disease and persistent shortage of donor organs call for alternative therapies for kidney patients. Dialysis remains an inferior treatment as clearance of large and protein-bound waste products depends on active tubular secretion. Biofabricated tissues could make a valuable contribution, but kidneys are highly intricate and multifunctional organs. Depending on the therapeutic objective, suitable cell sources and scaffolds must be selected. This study provides a proof-of-concept for stand-alone kidney tubule grafts with suitable mechanical properties for future implantation purposes. Porous tubular nanofiber scaffolds are fabricated by electrospinning 12%, 16%, and 20% poly-ε-caprolactone (PCL) v/w (chloroform and dimethylformamide, 1:3) around 0.7 mm needle templates. The resulting scaffolds consist of 92%, 69%, and 54% nanofibers compared to microfibers, respectively. After biofunctionalization with L-3,4-dihydroxyphenylalanine and collagen IV, 10 × 106 proximal tubule cells per mL are injected and cultured until experimental readout. A human-derived cell model can bridge all fiber-to-fiber distances to form a monolayer, whereas small-sized murine cells form monolayers on dense nanofiber meshes only. Fabricated constructs remain viable for at least 3 weeks and maintain functionality as shown by inhibitor-sensitive transport activity, which suggests clearance capacity for both negatively and positively charged solutes

    Fabrication of Kidney Proximal Tubule Grafts Using Biofunctionalized Electrospun Polymer Scaffolds

    No full text
    The increasing prevalence of end-stage renal disease and persistent shortage of donor organs call for alternative therapies for kidney patients. Dialysis remains an inferior treatment as clearance of large and protein-bound waste products depends on active tubular secretion. Biofabricated tissues could make a valuable contribution, but kidneys are highly intricate and multifunctional organs. Depending on the therapeutic objective, suitable cell sources and scaffolds must be selected. This study provides a proof-of-concept for stand-alone kidney tubule grafts with suitable mechanical properties for future implantation purposes. Porous tubular nanofiber scaffolds are fabricated by electrospinning 12%, 16%, and 20% poly-ε-caprolactone (PCL) v/w (chloroform and dimethylformamide, 1:3) around 0.7 mm needle templates. The resulting scaffolds consist of 92%, 69%, and 54% nanofibers compared to microfibers, respectively. After biofunctionalization with L-3,4-dihydroxyphenylalanine and collagen IV, 10 × 106 proximal tubule cells per mL are injected and cultured until experimental readout. A human-derived cell model can bridge all fiber-to-fiber distances to form a monolayer, whereas small-sized murine cells form monolayers on dense nanofiber meshes only. Fabricated constructs remain viable for at least 3 weeks and maintain functionality as shown by inhibitor-sensitive transport activity, which suggests clearance capacity for both negatively and positively charged solutes

    Deep learning is widely applicable to phenotyping embryonic development and disease

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    Genome editing simplifies the generation of new animal models for congenital disorders. However, the detailed and unbiased phenotypic assessment of altered embryonic development remains a challenge. Here, we explore how deep learning (U-Net) can automate segmentation tasks in various imaging modalities, and we quantify phenotypes of altered renal, neural and craniofacial development in Xenopus embryos in comparison with normal variability. We demonstrate the utility of this approach in embryos with polycystic kidneys (pkd1 and pkd2) and craniofacial dysmorphia (six1). We highlight how in toto light-sheet microscopy facilitates accurate reconstruction of brain and craniofacial structures within X. tropicalis embryos upon dyrk1a and six1 loss of function or treatment with retinoic acid inhibitors. These tools increase the sensitivity and throughput of evaluating developmental malformations caused by chemical or genetic disruption. Furthermore, we provide a library of pre-trained networks and detailed instructions for applying deep learning to the reader's own datasets. We demonstrate the versatility, precision and scalability of deep neural network phenotyping on embryonic disease models. By combining light-sheet microscopy and deep learning, we provide a framework for higher-throughput characterization of embryonic model organisms. This article has an associated 'The people behind the papers' interview
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