MassIVE MSV000098345

Imported Reanalysis Dataset Public PXD036094

Quantitative Proteomics Reveals Transforming growth factor beta Axis Induced by Resveratrol and Hesperetin Coformulation in Endothelial Cells

Description

The endothelium is the frontline target of multiple metabolic stressors and pharmacological agents. As a consequence, endothelial cells (ECs) display highly dynamic and diverse proteome profiles. We describe here the culture of human aortic ECs from healthy and type 2 diabetic donors, the treatment with a small molecular conformation of trans-resveratrol and hesperetin (tRES+HESP), followed by proteomic analysis of whole-cell lysate. A number of 3666 proteins were presented in all the samples and thus further analyzed. We found that 179 proteins had a significant difference between diabetic ECs vs. healthy ECs, while 81 proteins had a significant change upon the treatment of tRES+HESP in diabetic ECs. Among them, 16 proteins showed a difference between diabetic ECs and healthy ECs and the difference was reversed by the tRES+HESP treatment, with the top 5 drastically altered proteins being ACVRL1, ADAM9, ITGAV, PCCB, and TGFBR2. Follow-up functional assays identified ACVRL1 and TGFBR2 as the most pronounced mediator for tRES+HESP-induced protection of angiogenesis in vitro. Our study has revealed the global changes in proteins and biological pathways in ECs from diabetic donors, which are potentially reversible by the tRES+HESP formula. Furthermore, we have identified the TGF? signaling axis as a responding mechanism in ECs treated with this formula, shedding light for future studies for deeper molecular characterization [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Endothelial cells ; type 2 diabetes ; trans-resveratrol ; proteomics ; transforming growth factor-beta ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order)
Dr. Zhengping Yi, Integrated Biosciences; Department of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, Michigan, USA, N/A
Submitting User: ccms
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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