Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing.

ABSTRACT: Renal proximal tubule epithelial cells have considerable intrinsic repair capacity following injury. However, a fraction of injured proximal tubule cells fails to undergo normal repair and assumes a proinflammatory and profibrotic phenotype that may promote fibrosis and chronic kidney disease. The healthy to failed repair change is marked by cell state-specific transcriptomic and epigenomic changes. Single nucleus joint RNA- and ATAC-seq sequencing offers an opportunity to study the gene regulatory networks underpinning these changes in order to identify key regulatory drivers. We develop a regularized regression approach to construct genome-wide parametric gene regulatory networks using multiomic datasets. We generate a single nucleus multiomic dataset from seven adult human kidney sample

SUBMITTER: Ledru N 

PROVIDER: S-EPMC10861555 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature