Transcriptomics

Dataset Information

0

The renal capsule, a vibrant and adaptive cell environment of the kidney in homeostasis and aging [scRNA-seq]


ABSTRACT: The kidney is a complex organ that governs many physiological parameters. It is roughly divided into three parts, the renal pelvis, medulla, and cortex. Covering the cortex is the renal capsule, a serosal tissue that provides protection and forms a barrier for the kidney. Serosal tissues of many organs have been recently shown to play a vital role in homeostasis and disease. Analyses of the cells that reside in these tissues have identified distinct cell types with unique phenotypes. Surprisingly, despite the importance of serosal tissues, little is known about cells of the renal capsule. Here, we characterized this niche and found that it is mainly comprised of fibroblasts and macrophages, but also includes many other diverse cell types. Characterizing renal capsule- associated macrophages, we found that they consist of a distinct subset (i.e., TLF+ macrophages) that is nearly absent in the kidney parenchyma. Injury, disease, and other changes within the kidney, affected the cell composition and phenotype of the renal capsule, indicating its dynamic and vibrant response to changes within the organ parenchyma. Lastly, we studied age-related changes in the renal capsule and found that aging affected the cell composition and pro- inflammatory phenotype of macrophages, increased CD8 T cells and other lymphocyte counts, and promoted a senescence-associated phenotype in fibroblasts. Taken together, our data illustrate the complexity and heterogeneity of the renal capsule and its underlying changes during aging and disease, improving our understanding of the kidney serosa that may be valuable for novel renal therapies.

ORGANISM(S): Mus musculus

PROVIDER: GSE239538 | GEO | 2024/02/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-02-01 | GSE239530 | GEO
2007-06-13 | GSE8114 | GEO
2024-04-15 | GSE207999 | GEO
2010-01-31 | E-GEOD-19460 | biostudies-arrayexpress
2007-06-12 | E-GEOD-8114 | biostudies-arrayexpress
2024-09-01 | GSE240374 | GEO
2024-09-01 | GSE240373 | GEO
2022-01-26 | GSE151930 | GEO
2012-02-21 | E-GEOD-30718 | biostudies-arrayexpress
2022-11-17 | GSE199080 | GEO