Supplementary processed data for Chandler et al. Single-cell transcriptomics identifies aberrant glomerular angiogenic signalling in the early stages of a murine model of WT1 kidney disease
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<strong><em>Summary datafiles for Chandler et al.</em></strong> Processed single-cell RNA sequencing data, derived from murine glomeruli (isolated using the dynabead technique) from <em>n = 2</em> wild-type <em>Wt1<sup>+/+</sup></em> (Ctrl) and <em>n = 2</em> mutant <em>Wt1<sup>R394W/+</sup></em> (Mut) littermates of WT1 glomerulopathy, followed by 10x Genomics Chromium v3 platform. Please refer to associated scripts for analysis of the data: https://github.com/daniyal-jafree1995/collaborations/blob/main/Chandleretal_2022_WT1glomerulopathyscRNAseq.R File descriptions as below: barcodes.tsv.gz - barcodes file required for input to Read10X function in Seurat features.tsv.gz - features file required for input to Read10X function in Seurat matrix.mtx.gz - matrix file required for input to Read10X function in Seurat WT1_scRNAseq.rds - RDS file containing processed and annotated Seurat object for downstream analysis
