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

被引:0
|
作者
Hodgin, Jeffrey B. [1 ,4 ,5 ]
Smith, Cathy [2 ]
Kretzler, Matthias [2 ,3 ]
机构
[1] Univ Michigan, Dept Pathol, Ann Arbor, MI USA
[2] Univ Michigan, Dept Internal Med, Div Nephrol, Ann Arbor, MI USA
[3] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI USA
[4] Univ Michigan, Dept Pathol, 4520B MSRB I,1150 W Med Ctr Dr, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Dept Med, 4520B MSRB I,1150 W Med Ctr Dr, Ann Arbor, MI 48109 USA
关键词
D O I
10.1016/j.kint.2023.11.014
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:242 / 244
页数:3
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