Literature DB >> 32651223

Single-Cell Transcriptome Profiling of the Kidney Glomerulus Identifies Key Cell Types and Reactions to Injury.

Jun-Jae Chung1, Leonard Goldstein2, Ying-Jiun J Chen2, Jiyeon Lee1, Joshua D Webster3, Merone Roose-Girma2, Sharad C Paudyal4, Zora Modrusan2, Anwesha Dey5, Andrey S Shaw6.   

Abstract

BACKGROUND: The glomerulus is a specialized capillary bed that is involved in urine production and BP control. Glomerular injury is a major cause of CKD, which is epidemic and without therapeutic options. Single-cell transcriptomics has radically improved our ability to characterize complex organs, such as the kidney. Cells of the glomerulus, however, have been largely underrepresented in previous single-cell kidney studies due to their paucity and intractability.
METHODS: Single-cell RNA sequencing comprehensively characterized the types of cells in the glomerulus from healthy mice and from four different disease models (nephrotoxic serum nephritis, diabetes, doxorubicin toxicity, and CD2AP deficiency).
RESULTS: All cell types in the glomerulus were identified using unsupervised clustering analysis. Novel marker genes and gene signatures of mesangial cells, vascular smooth muscle cells of the afferent and efferent arterioles, parietal epithelial cells, and three types of endothelial cells were identified. Analysis of the disease models revealed cell type-specific and injury type-specific responses in the glomerulus, including acute activation of the Hippo pathway in podocytes after nephrotoxic immune injury. Conditional deletion of YAP or TAZ resulted in more severe and prolonged proteinuria in response to injury, as well as worse glomerulosclerosis.
CONCLUSIONS: Generation of comprehensive high-resolution, single-cell transcriptomic profiles of the glomerulus from healthy and injured mice provides resources to identify novel disease-related genes and pathways.
Copyright © 2020 by the American Society of Nephrology.

Entities:  

Keywords:  anti-GBM disease; chronic kidney disease; diabetic glomerulopathy; glomerular disease; transcriptional profiling

Year:  2020        PMID: 32651223      PMCID: PMC7609001          DOI: 10.1681/ASN.2020020220

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  51 in total

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