Kidney Single-Cell Atlas Reveals Myeloid Heterogeneity in Progression and Regression of Kidney Disease

被引:137
作者
Conway, Bryan R. [1 ]
O'Sullivan, Eoin D. [2 ]
Cairns, Carolynn [1 ]
O'Sullivan, James [1 ]
Simpson, Daniel J. [3 ]
Salzano, Angela [3 ]
Connor, Katie [1 ,2 ]
Ding, Peng [2 ]
Humphries, Duncan [2 ]
Stewart, Kevin [1 ]
Teenan, Oliver [1 ]
Pius, Riinu [4 ]
Henderson, Neil C. [2 ]
Benezech, Cecile [1 ]
Ramachandran, Prakash [2 ]
Ferenbach, David [2 ]
Hughes, Jeremy [2 ]
Chandra, Tamir [3 ]
Denby, Laura [1 ]
机构
[1] Univ Edinburgh, Ctr Cardiovasc Sci, Queens Med Res Inst, Edinburgh EH16 4TJ, Midlothian, Scotland
[2] Univ Edinburgh, Med Res Council Ctr Inflammat Res, Queens Med Res Inst, Edinburgh, Midlothian, Scotland
[3] Univ Edinburgh, Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland
[4] Univ Edinburgh, Ctr Med Informat, Edinburgh, Midlothian, Scotland
来源
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY | 2020年 / 31卷 / 12期
基金
英国惠康基金; 英国医学研究理事会;
关键词
fibrosis; kidney disease; scRNA sequencing; myeloid cells; DIABETIC-NEPHROPATHY; DENDRITIC CELLS; GROWTH-FACTOR; RENAL INJURY; RNA-SEQ; MACROPHAGES; POPULATION; REPAIR; DIFFERENTIATION; OSTEOPONTIN;
D O I
10.1681/ASN.2020060806
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
Background Little is known about the roles ofmyeloid cell subsets in kidney injury and in the limited ability of the organ to repair itself. Characterizing these cells based only on surfacemarkers using flow cytometry might not provide a full phenotypic picture. Defining these cells at the single-cell, transcriptomic level could reveal myeloid heterogeneity in the progression and regression of kidney disease. Methods Integrated droplet- and plate-based single-cell RNA sequencing were used in the murine, reversible, unilateral ureteric obstruction model to dissect the transcriptomic landscape at the single-cell level during renal injury and the resolution of fibrosis. Paired blood exchange tracked the fate of monocytes recruited to the injured kidney. Results A single-cell atlas of the kidney generated using transcriptomics revealed marked changes in the proportion and gene expression of renal cell types during injury and repair. Conventional flow cytometry markers would not have identified the 12myeloid cell subsets. Monocytes recruited to the kidney early after injury rapidly adopt a proinflammatory, profibrotic phenotype that expresses Arg1, before transitioning to become Ccr21 macrophages that accumulate in late injury. Conversely, a novelMmp121macrophage subset acts during repair. Conclusions Complementary technologies identified novel myeloid subtypes, based on transcriptomics in single cells, that represent therapeutic targets to inhibit progression or promote regression of kidney disease.
引用
收藏
页码:2833 / 2854
页数:22
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