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Single-cell transcriptomics identifies aberrant glomerular angiogenic signalling in the early stages of WT1 kidney disease
Chandler, Jennifer C.; Jafree, Daniyal J.; Malik, Saif; Pomeranz, Gideon; Ball, Mary; Kolatsi-Joannou, Maria; Piapi, Alice; Mason, William J.; Benest, Andrew V.; Bates, David O.; Letunovska, Aleksandra; Al-Saadi, Reem; Rabant, Marion; Boyer, Olivia; Pritchard-Jones, Kathy; Winyard, Paul J.; Mason, Andrew S.; Woolf, Adrian S.; Waters, Aoife M.; Long, David A.
DATA AVAILABILITY STATEMENT :
Primary sequencing data reported in this paper are available on NCBI Sequence Read Archive (SRA PRJNA928337). Processed data for scRNA-seq experiments are available on Zenodo at DOI: 10.5281/zenodo.7565867.
The codes generated during this study are available at Github repository https://github.com/daniyal-jafree1995/collaborations. All other unique reagents used in this study are available from the corresponding author on reasonable request.
SUPPLEMENTARY MATERIALS AND METHODS : FIGURE S1. Supporting data for single-cell RNA seq analyses.
FIGURE S2. Characterisation of primary cell lines.
FIGURE S3. Isolation of podocytes from scRNA-seq data from additional murine models of glomerular disease for cross-disease comparison.
FIGURE S4. Dysregulated genes shown by individual sample for each human glomerular pathology (source Nephroseq).
TABLE S1. Differentially expressed genes in glomerular cells in Wt1R394W/+ mice.
TABLE S2. Podocyte differentially expressed genes that are conserved across murine glomerular scRNA-seq datasets or unique to Wt1R394W/+.
TABLE S3. Podocyte differentially expressed genes classified in ‘GO:0002376 – immune system process’ across murine glomerular scRNA-seq datasets.