Abstract
Extracellular vesicles (EVs) derived from stem /progenitor cells harbor immense potential to promote cardiomyocyte survival and neovascularization, and to mitigate ischemic injury. However, EVs’ parental stem/progenitor cells showed modest benefits in clinical trials, suggesting autologous stem cell/EV quality might have been altered by stimuli associated with the co-morbidities such as hyperglycemia associated with diabetes. Hyperglycemia is a characteristic of diabetes and a major driving factor in cardiovascular disease. The functional role of stem/progenitor cell-derived EVs and the molecular signature of their secreted EV cargo under hyperglycemic conditions remain elusive. Therefore, we hypothesized that hyperglycemic stress causes transcriptome changes in stem/progenitor cell-derived EVs that may compromise their reparative function. In this study, we performed an unbiased analysis of EV transcriptome signatures from 3 different stem/progenitor cell types by RNA sequencing. The analysis revealed differential expression of a variety of RNA species in EVs. Specifically, we identified 241 common-dysregulated mRNAs, 21 ncRNAs, and 16 miRNAs in three stem cell-derived EVs. Gene Ontology revealed that potential function of common mRNAs mostly involved in metabolism and transcriptional regulation. This study provides potential candidates for preventing the adverse effects of hyperglycemia-induced stem/progenitor cell-derived EV dysfunction, and reference data for future biological studies and application of stem/progenitor cell-derived EVs.
Original language | English |
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Article number | 2098 |
Pages (from-to) | 1-14 |
Journal | Cells |
Volume | 9 |
Issue number | 9 |
DOIs | |
State | Published - Aug 15 2020 |
Keywords
- Animals
- Bone Marrow Cells/metabolism
- Cells, Cultured
- Extracellular Vesicles/metabolism
- Gene Expression Regulation
- Gene Ontology
- Hyperglycemia/genetics
- Mice
- Mice, Inbred C57BL
- MicroRNAs/genetics
- RNA, Long Noncoding/genetics
- RNA, Messenger/genetics
- RNA-Seq
- Stem Cells/metabolism
- Transcriptome
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Biostatistics and Bioinformatics Facility
Ross, PhD, ScM, E. A. (Director), Devarajan, PhD, K. (Staff), Zhou, PhD, Y. (Staff), Zhou, MSE, PhD, Y. (Staff), Egleston, PhD, MPP, B. (Staff), Hasler, PhD, J. S. (Staff) & Zhang, PhD, L. (Staff)
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