Single nucleus RNA-seq, ATAC-seq, and multiomic sequencing of adult human kidney

In this study, we generated a single nucleus multiomic (snRNA-seq and snATAC-seq) dataset of adult human kidney. We developed a bioinformatic tool to analyze this dataset by identifying key cis-regulatory elements and transcription factors associated with specific cell types and states. We applied this tool to identify transcription factors implicated in proximal tubule cell injury and failed repair states. We demonstrate this tool can be applied to single cell multiomic datasets to derive insight into cell type- and state-specific gene regulatory networks. single nucleus RNA-sequencing (snRNA-seq) on 4 adult human kidney biopsy samples, single nucleus ATAC-sequencing (snATAC-seq) on 3 adult human kidney biopsy samples, and single nucleus multiomic (joint snRNA-seq and snATAC-seq) sequencing on an additional 7 adult human kidney samples.