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Single-cell RNA sequencing reveals the mesangial identity and species diversity of glomerular cell transcriptomes.
- Source :
-
Nature communications [Nat Commun] 2021 Apr 09; Vol. 12 (1), pp. 2141. Date of Electronic Publication: 2021 Apr 09. - Publication Year :
- 2021
-
Abstract
- Molecular characterization of the individual cell types in human kidney as well as model organisms are critical in defining organ function and understanding translational aspects of biomedical research. Previous studies have uncovered gene expression profiles of several kidney glomerular cell types, however, important cells, including mesangial (MCs) and glomerular parietal epithelial cells (PECs), are missing or incompletely described, and a systematic comparison between mouse and human kidney is lacking. To this end, we use Smart-seq2 to profile 4332 individual glomerulus-associated cells isolated from human living donor renal biopsies and mouse kidney. The analysis reveals genetic programs for all four glomerular cell types (podocytes, glomerular endothelial cells, MCs and PECs) as well as rare glomerulus-associated macula densa cells. Importantly, we detect heterogeneity in glomerulus-associated Pdgfrb-expressing cells, including bona fide intraglomerular MCs with the functionally active phagocytic molecular machinery, as well as a unique mural cell type located in the central stalk region of the glomerulus tuft. Furthermore, we observe remarkable species differences in the individual gene expression profiles of defined glomerular cell types that highlight translational challenges in the field and provide a guide to design translational studies.
- Subjects :
- Animals
Cell Separation
Computational Biology
Flow Cytometry
Genetic Heterogeneity
Glomerular Mesangium cytology
Humans
Male
Mice
RNA-Seq
Receptor, Platelet-Derived Growth Factor beta genetics
Receptors, Phospholipase A2 genetics
Single-Cell Analysis
Species Specificity
Endothelial Cells metabolism
Glomerular Mesangium metabolism
Podocytes metabolism
Protein Biosynthesis genetics
Transcriptome physiology
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 12
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 33837218
- Full Text :
- https://doi.org/10.1038/s41467-021-22331-9