多组学数据整合揭示了肾脏髓质的奥秘。

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

机构信息

Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.

Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.

出版信息

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

DOI:10.1016/j.kint.2023.11.014

PMID:38245213

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.

摘要

肾髓质维持盐和水平衡，由于氧需求高，容易失调。由于难以获得高质量的组织，限制了对调节髓质的分子程序的特征描述。Haug 等人利用基因表达、染色质可及性、长距离染色体相互作用和空间转录组学构建了一套髓质组织标记基因的参考集，以定义髓质在肾功能中的作用，这体现了多组学数据集成的优势和实用性。