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Journal of Cellular Physiology
Article . 2013 . Peer-reviewed
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Journal of Cellular Physiology
Article
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PubMed Central
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miR‐10a restores human mesenchymal stem cell differentiation by repressing KLF4

Authors: Li, Jiao; Dong, Jun; Zhang, Zhen-hui; Zhang, Dong-Cheng; You, Xiang-Yu; Zhong, Yun; Chen, Min-Sheng; +1 Authors

miR‐10a restores human mesenchymal stem cell differentiation by repressing KLF4

Abstract

AbstractmiRNAs have recently been shown to play a significant role in human aging. However, data demonstrating the effects of aging‐related miRNAs in human mesenchymal stem cells (hMSCs) are limited. We observed that hMSC differentiation decreased with aging. We also identified that miR‐10a expression was significantly decreased with age by comparing the miRNA expression of hMSCs derived from young and aged individuals. Therefore, we hypothesized that the downregulation of miR‐10a may be associated with the decreased differentiation capability of hMSCs from aged individuals. Lentiviral constructs were used to up‐ or downregulate miR‐10a in young and old hMSCs. Upregulation of miR‐10a resulted in increased differentiation to adipogenic, osteogenic, and chondrogenic lineages and in reduced cell senescence. Conversely, downregulation of miR‐10a resulted in decreased cell differentiation and increased cell senescence. A chimeric luciferase reporter system was generated, tagged with the full‐length 3′‐UTR region of KLF4 harboring the seed‐matched sequence with or without four nucleotide mutations. These constructs were cotransfected with the miR‐10a mimic into cells. The luciferase activity was significantly repressed by the miR‐10a mimic, proving the direct binding of miR‐10a to the 3′‐UTR of KLF4. Direct suppression of KLF4 in aged hMSCs increased cell differentiation and decreased cell senescence. In conclusion, miR‐10a restores the differentiation capability of aged hMSCs through repression of KLF4. Aging‐related miRNAs may have broad applications in the restoration of cell dysfunction caused by aging. J. Cell. Physiol. 228: 2324–2336, 2013. © The Authors. Published by Wiley Periodicals, Inc.

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Keywords

Adult, Aged, 80 and over, Male, Adolescent, Nucleotides, Kruppel-Like Transcription Factors, Down-Regulation, Cell Differentiation, Mesenchymal Stem Cells, Up-Regulation, Kruppel-Like Factor 4, MicroRNAs, Young Adult, Original Research Articles, Mutation, Humans, Female, 3' Untranslated Regions, Cellular Senescence, Aged

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
Green
hybrid