Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jun 4:11:582.
doi: 10.3389/fgene.2020.00582. eCollection 2020.

Extracellular Vesicles of Human Periodontal Ligament Stem Cells Contain MicroRNAs Associated to Proto-Oncogenes: Implications in Cytokinesis

Luigi Chiricosta  1 , Serena Silvestro  1 , Agnese Gugliandolo  1 , Guya Diletta Marconi  2 , Jacopo Pizzicannella  3 , Placido Bramanti  1 , Oriana Trubiani  2 , Emanuela Mazzon  1
Affiliations

Extracellular Vesicles of Human Periodontal Ligament Stem Cells Contain MicroRNAs Associated to Proto-Oncogenes: Implications in Cytokinesis

Luigi Chiricosta et al. Front Genet. .

Abstract

The human Periodontal Ligament Stem Cells (hPDLSCs) exhibit self-renewal capacity and clonogenicity potential. The Extracellular Vesicles (EVs) secreted by hPDLSCs are particles containing lipids, proteins, mRNAs, and non-coding RNAs, among which microRNAs, that are important in intercellular communication. The purpose of this study was the analysis of the non-coding RNAs contained in the EVs derived from hPDLSCs using Next Generation Sequencing. Moreover, our data were enriched using bioinformatic tools. The analysis highlighted the presence of non-coding RNAs and five microRNAs: MIR24-2, MIR142, MIR335, MIR490, and MIR296. Our results show that these miRNAs target the genes classified in two terms of the Gene Ontology: "Ras protein signal transduction" and "Actin/microtubule cytoskeleton organization." Noteworthy, the in-deep analysis of our EVs highlights that the miRNAs could be implicated in the silencing of proto-oncogenes involved in 12 different types of tumors.

Keywords: cytokinesis; extracellular vesicles; human periodontal ligament stem cells; microRNAs; next generation sequencing; non-coding RNAs.

PubMed Disclaimer

Figures

FIGURE 1
FIGURE 1
Classification of the non-coding RNAs families contained in EVs belong using HUGO database.
FIGURE 2
FIGURE 2
Representation of the biological processes in which the genes targeted by the miRNAs in EVs are mainly involved. The miRNAs MIR24, MIR142, MIR335, MIR296, and MIR490 mainly target genes belonging to the “Cellular processes” category of the Gene Ontology. More specifically, the genes fall into two sub-categories “Ras protein signal transduction” and “Actin/microtubule cytoskeleton organization.” The genes involved in these subprocesses are characteristic of the pathways represented in the outer ring.
FIGURE 3
FIGURE 3
Venn diagram. The plot represents for each miRNA in EVs the genes that inhibits in comparison to the others. MIR24 and MIR142 target exclusively the highest number of genes.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Abella J. V., Galloni C., Pernier J., Barry D. J., Kjaer S., Carlier M. F., et al. (2016). Isoform diversity in the Arp2/3 complex determines actin filament dynamics. Nat. Cell Biol. 18 76–86. 10.1038/ncb3286 - DOI - PubMed
    1. Agarwal V., Bell G. W., Nam J. W., Bartel D. P. (2015). Predicting effective microRNA target sites in mammalian mRNAs. eLife 4:e05005. - PMC - PubMed
    1. Aspenström P. (2019). The intrinsic gdp/gtp exchange activities of Cdc42 and rac1 are critical determinants for their specific effects on mobilization of the actin filament system. Cells 8:759. 10.3390/cells8070759 - DOI - PMC - PubMed
    1. Bartel D. P. (2004). MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116 281–297. - PubMed
    1. Bolger A. M., Lohse M., Usadel B. (2014). Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30 2114–2120. 10.1093/bioinformatics/btu170 - DOI - PMC - PubMed

LinkOut - more resources