An in vitro approach to understand contribution of kidney cells to human urinary extracellular vesicles.

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Version: Final published version
License: CC BY-NC 4.0
Serval ID
serval:BIB_3117D72EF0EF
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
An in vitro approach to understand contribution of kidney cells to human urinary extracellular vesicles.
Journal
Journal of extracellular vesicles
Author(s)
Barreiro K., Lay A.C., Leparc G., Tran VDT, Rosler M., Dayalan L., Burdet F., Ibberson M., Coward RJM, Huber T.B., Krämer B.K., Delic D., Holthofer H.
ISSN
2001-3078 (Electronic)
ISSN-L
2001-3078
Publication state
Published
Issued date
02/2023
Peer-reviewed
Oui
Volume
12
Number
2
Pages
e12304
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Extracellular vesicles (EV) are membranous particles secreted by all cells and found in body fluids. Established EV contents include a variety of RNA species, proteins, lipids and metabolites that are considered to reflect the physiological status of their parental cells. However, to date, little is known about cell-type enriched EV cargo in complex EV mixtures, especially in urine. To test whether EV secretion from distinct human kidney cells in culture differ and can recapitulate findings in normal urine, we comprehensively analysed EV components, (particularly miRNAs, long RNAs and protein) from conditionally immortalised human kidney cell lines (podocyte, glomerular endothelial, mesangial and proximal tubular cells) and compared to EV secreted in human urine. EV from cell culture media derived from immortalised kidney cells were isolated by hydrostatic filtration dialysis (HFD) and characterised by electron microscopy (EM), nanoparticle tracking analysis (NTA) and Western blotting (WB). RNA was isolated from EV and subjected to miRNA and RNA sequencing and proteins were profiled by tandem mass tag proteomics. Representative sets of EV miRNAs, RNAs and proteins were detected in each cell type and compared to human urinary EV isolates (uEV), EV cargo database, kidney biopsy bulk RNA sequencing and proteomics, and single-cell transcriptomics. This revealed that a high proportion of the in vitro EV signatures were also found in in vivo datasets. Thus, highlighting the robustness of our in vitro model and showing that this approach enables the dissection of cell type specific EV cargo in biofluids and the potential identification of cell-type specific EV biomarkers of kidney disease.
Keywords
Humans, Extracellular Vesicles/metabolism, MicroRNAs/metabolism, Epithelial Cells/metabolism, Microscopy, Electron, Kidney/metabolism, RNA, exosomes, extracellular vesicles, glomerular endothelial cells, kidney, mesangial cells, miRNA, podocytes, proteomics, proximal tubule cells
Pubmed
Web of science
Open Access
Yes
Create date
06/03/2023 14:53
Last modification date
25/01/2024 7:33
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