Multi-omics data integration shines a light on the renal medulla

Jeffrey B Hodgin; Cathy Smith; Matthias Kretzler

doi:10.1016/j.kint.2023.11.014

Multi-omics data integration shines a light on the renal medulla

Kidney Int. 2024 Feb;105(2):242-244. doi: 10.1016/j.kint.2023.11.014.

Authors

Jeffrey B Hodgin¹, Cathy Smith², Matthias Kretzler³

Affiliations

¹ Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: jhodgin@umich.edu.
² Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
³ Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.

PMID: 38245213
DOI: 10.1016/j.kint.2023.11.014

Abstract

The renal medulla maintains salt and water balance and is prone to dysregulation because of high oxygen demand. Challenges in obtaining high-quality tissue have limited characterization of molecular programs regulating the medulla. Haug et al. leveraged gene expression, chromatin accessibility, long-range chromosomal interactions, and spatial transcriptomics to build a reference set of medullary tissue marker genes to define the medullary role in kidney function, exemplifying the strength and utility of multi-omic data integration.

MeSH terms

Kidney Medulla* / metabolism
Multiomics*
Sodium Chloride / metabolism
Sodium Chloride, Dietary / metabolism
Water-Electrolyte Balance

Substances

Sodium Chloride, Dietary
Sodium Chloride