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The Nuclear Receptor ESRRA Protects from Kidney Disease by Coupling Metabolism and Differentiation

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Abstract
Using single-cell RNA sequencing, Susztak and colleagues, show major changes in cell diversity in mouse models of kidney fibrosis. Proximal tubule (PT) cells are highly vulnerable to dysfunction in fibrosis and show altered differentiation. Nuclear receptors such as ESRRA maintain both PT cell metabolism and differentiation by directly regulating PT-cell-specific genes. © 2020 Elsevier Inc.

Kidney disease is poorly understood because of the organ's cellular diversity. We used single-cell RNA sequencing not only in resolving differences in injured kidney tissue cellular composition but also in cell-type-specific gene expression in mouse models of kidney disease. This analysis highlighted major changes in cellular diversity in kidney disease, which markedly impacted whole-kidney transcriptomics outputs. Cell-type-specific differential expression analysis identified proximal tubule (PT) cells as the key vulnerable cell type. Through unbiased cell trajectory analyses, we show that PT cell differentiation is altered in kidney disease. Metabolism (fatty acid oxidation and oxidative phosphorylation) in PT cells showed the strongest and most reproducible association with PT cell differentiation and disease. Coupling of cell differentiation and the metabolism was established by nuclear receptors (estrogen-related receptor alpha [ESRRA] and peroxisomal proliferation-activated receptor alpha [PPARA]) that directly control metabolic and PT-cell-specific gene expression in mice and patient samples while protecting from kidney disease in the mouse model. © 2020 Elsevier Inc.
Author(s)
Dhillon, PoonamPark, Jihwandel Pozo, Carmen HurtadoLi, LingzhiDoke, TomohitoHuang, ShizhengZhao, JuanjuanKang, Hyun MiShrestra, RojeshBalzer, Michael S.Chatterjee, ShataksheePrado, PatriciaHan, Seung YubLiu, HongboSheng, XinDierickx, PieterjanBatmanov, KirillRomero, Juan P.Prosper, FelipeLi, MingyaoPei, LimingKim, JunhyongMontserrat, NuriaSusztak, Katalin
Issued Date
2021-02
Type
Article
DOI
10.1016/j.cmet.2020.11.011
URI
https://scholar.gist.ac.kr/handle/local/11711
Publisher
Cell Press
Citation
Cell Metabolism, v.33, no.2, pp.1 - 16
ISSN
1550-4131
Appears in Collections:
Department of Life Sciences > 1. Journal Articles
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