Project description:Single-cell RNA-seq of engineered healthy human kidney organoids. These data are part of a larger investigation (data not provided here) showing that SARS-CoV-2 can directly infect engineered human blood vessel organoids and human kidney organoids which can be inhibited by human recombinant soluble ACE2 (hrsACE2), demonstrating that hrsACE2 can significantly block early stages of SARS-CoV-2 infections.
Project description:We used scRNA-Seq (and other biological experiments) to study the impact of a high oscillatory glucose regime in the differentiation and metabolic status of human kidney organoids further emulating early hallmarks of the diabetic kidney. To study the interplay between those changes and SARS-CoV-2 infection we assessed the effect of early stages of infection (1 day post infection) in normoglicemic (5 mM), hyperglicemic (5-25 mM oscillatory regime) and differentiating (11 mM) conditions. We retrieved metabolic changes and an upregulation of inflammatory related processes upon infection, whilst there was not an impact in the viability of the different cell types in the kidney organoids. Also, we studied the differences between ACE2 CRISPR/Cas9 knockouts and ACE2 WT organoids, using single cell RNA sequencing to resolve cell-type specific and cell proportion changes.
Project description:To reveal the key pathways involved in kidney cystogenesis. We performed single nuclei gene expression and ATAC profiling using kidney organoids from ARPKD patients-iPSCs derived organoids.
Project description:These files represent single cell RNA-Seq data generated on a 10x Chromium genomics platform from four biological replicates of iPSC-derived human kidney organoids, in two batches, differentiated according to our published protocol (Takasato et al., Nature Protocols 2016). The aggregated human organoid data contains populations representing endothelial cells, podocytes, stroma, nephron, and off-target populations with similarity to neurons.
Project description:These files represent single cell RNA-Seq data generated on a 10x Chromium genomics platform from three biological replicates from the embryonic day (E)18.5 developing mouse kidney and three biological replicates of iPSC-derived human kidney organoids differentiated according to our published protocol (Takasato et al., Nature Protocols 2016). When aggregated, the mouse data represents >6000 cells that passed our QC, containing most major cell types known to exist in the developing mouse kidney. The aggregated human organoid data contains of >7000 cells that passed our QC and contains populations representing endothelial cells, podocytes, stroma, nephron, and off-target populations with similarity to neurons.
Project description:Kidney organoids are ideal models to study the complex process of human kidney development. Here we report the generation of functional kidney organoids by reprogramming human urine epithelial cells (hUCs). RNA-seq and ATAC-seq revealed the three-stage process of the 2D U-iRO induction. Single cell RNA-seq further reveals the cell types in 2D and 3D organoids, 2D U-iRO dominated with mesenchyme and 3D U-iRO with tubule.