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Metadata

Name
ARPCs Can Revert Lps-Induced Endothelial-to-Mesenchymal Transition of Endothelial Cells
Repository
Gene Expression Omnibus
Identifier
geo.series:GSE116849
Description
Endothelial dysfunction is a hallmark of LPS-induced acute kidney injury (AKI). Endothelial cells (EC) acquired a fibroblast-like phenotype and contributed to myofibroblasts generation through Endothelial to Mesenchymal Transition (EndMT) process. Noteworthy, ARPCs enhance tubular regenerative mechanism during AKI, but little is known about their effects on EC. Here we investigated whether ARPCs could prevent sepsis-induced EndMT and the related mechanism.
When activated by LPS, Human endothelial cells (EC) proliferated and decreased specific EC markers such as CD31 and VE-cadherin and up-regulated myofibroblast markers such as Collagen I and Vimentin. The co-culture with ARPCs normalized EC proliferation rate and abrogated the LPS-induced EndMT by restoring the high expression of EC markers and the low expression of myofibroblast markers. Gene set enrichment analysis showed that most of genes modulated in LPS-stimulated ARPCs belongs to cell activation and defense response pathways. In particular, among most up-regulated genes we found BPIFA2, SAA2, SAA4 and CXCL6. BPIFA2 is recently described as an early biomarker of AKI but little is known about its function in the kidney. The other genes are frequently involved in the response to bacterial infection and kidney injury. Finally, in a swine model of LPS-induced AKI, we observed an increase of CD133+ARPCs that expressed BPIFA2 respect to healthy pigs. Taken together, these results suggest an underestimate role of ARPCS in preventing endothelial dysfuncton by the production of several proteins. The identification of these molecules may offer novel strategies to protect endothelial compartment and promote kidney repair.
Data or Study Types
Expression profiling by array
Source Organization
National Center for Biotechnology Information
Access Conditions
available
Year
2019
Access Hyperlink
http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GSE116849

Distributions

  • Encoding Format: Bioproject ; URL: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA480439
  • Encoding Format: TXT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE116849/matrix/
  • Encoding Format: MINiML ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE116849/miniml/
  • Encoding Format: SOFT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE116849/soft/
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.