Supplementary Materials

Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease

Jihwan Park, Rojesh Shrestha, Chengxiang Qiu, Ayano Kondo, Shizheng Huang, Max Werth, Mingyao Li, Jonathan Barasch, Katalin Suszták

Materials/Methods, Supplementary Text, Tables, Figures, and/or References

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  • Materials and Methods
  • Figs. S1 to S25
  • Captions for tables S1 to S3
  • References
Table S1
Cell specific marker gene list for the 16 clusters. P-values and average natural log expression differences were calculated using the Seurat package as described in Materials and Methods. Percent cells 1 and 2 represent the percent of cells expressing the specific gene in the target cell cluster and average of the non-target clusters, respectively.
Tables S2
Cell specific marker gene list for subclusters. P-values and average natural log expression differences were calculated using the Seurat package as described in Materials and Methods. Percent cells 1 and 2 represent the percent of cells expressing the specific gene in the target cell cluster and average of the non-target clusters, respectively.
Tables S3
Gene expression data matrix. Each column represents one cell group (from this study) and each row represents the expression of a single gene.