Multi-omic analysis of human kidney tissue identified medulla-specific gene expression patterns

Area of Science:

• Nephrology
• Genomics
• Epigenetics

Background:

• The kidney medulla is vital for homeostasis but its molecular signatures are poorly understood.
• Medullary dysfunction is linked to various kidney diseases and developmental issues.

Purpose of the Study:

• To comprehensively characterize the adult human kidney medulla's gene expression and epigenomic landscape.
• To establish a foundational dataset for understanding medullary function and disease.

Main Methods:

• Generated and analyzed RNA-seq, ATAC-seq, Hi-C, and spatial transcriptomic data from adult human kidney cortex and medulla.
• Utilized macroscopically dissected, tumor-adjacent normal tissue from nephrectomy specimens.
• Integrated multi-omics data and validated findings with spatial transcriptomics and immunohistochemistry.

Main Results:

• Established detailed gene expression and epigenomic profiles for the adult human kidney medulla.
• Identified key medullary gene expression signatures and regulatory elements.
• Successfully reassigned mislabeled samples in the Genotype-Tissue Expression (GTEx) Project.

Conclusions:

• The generated datasets offer valuable insights into kidney medulla development and function.
• This resource aids in the functional annotation of genome-wide association study variants.
• Data is publicly accessible via an epigenome browser portal for broader research use.