Literature DB >> 30641220

Identification of key genes and transcription factors in aging mesenchymal stem cells by DNA microarray data.

Yang'ou Wu1, Jing Yang2, Zexin Ai1, Miao Yu1, Jia Li3, Shengjiao Li4.   

Abstract

BACKGROUND: Mesenchymal stem cells (MSCs) are multipotent cells that can be widely used in stem cell therapy. However, few studies have revealed the potential mechanisms of the changes in aging MSC.
MATERIALS AND METHODS: In this study, microarray data GSE35955 was downloaded from the Gene Expression Omnibus database. Then limma package in R was used to filtrate differentially expressed genes (DEGs), Transcription factors (TFs) were predicted by DCGL package. After predicting TFs, protein-protein interaction (PPI) network and TF-mediated transcriptional regulation network were constructed. The functional and pathway enrichment analysis of screened DEGs, hub genes and TFs were conducted by the DAVID.
RESULTS: Totally 156 up-regulated DEGs and 343 down-regulated DEGs were obtained. 6 hub genes (CTNNB1, PPP2R1A, FYN, MAPK1, PIK3C2A and EP300) were obtained from PPI network. 11 TFs (CREB1, CUX1, EGR1, EP300, FOXC1, HSF2, MEF2A, PLAU, SP1, STAT1 and USF1) for DEGs were predicted and 2 highly scored co-expression relationships (EP300-PPP2R1A and STAT1-FOXC1) were acquired from the TF-mediated transcriptional regulation network.
CONCLUSIONS: The discovery of the hub genes, TFs and pathways might contribute to the understanding of genetic and molecular functions of aging-related changes in MSC. Further validation studies on genes and TFs such as CTNNB1, FYN, PPP2R1A, MAPK1, EP300 and related biological processes and pathways, including adherens junction, DNA damage caused from oxidative stress, attribution of telomere, MSC differentiation and epigenetic regulation, are urgent for clinical prevention and treatment.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Differentially expressed genes; Enrichment analysis; Gene Expression Omnibus; Hub genes; Microarray analysis; Protein-protein interaction network; Transcriptional regulatory network

Mesh:

Substances:

Year:  2019        PMID: 30641220     DOI: 10.1016/j.gene.2018.12.063

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  3 in total

1.  Identification of molecular pathways and protein-protein interactions in adipose tissue-derived mesenchymal stromal cells (ASCs) under physiological oxygen concentration in a diabetic rat model.

Authors:  Luis-Miguel Paco-Meza; MDolores Carmona; Sagrario Cañadillas; Ana Lopez-Diaz; Francisco Muñoz-López; Alvaro Jimenez-Arranz; Ipek Guler; Concha Herrera
Journal:  Iran J Basic Med Sci       Date:  2022-02       Impact factor: 2.532

2.  lncRNA MALAT1 mediates osteogenic differentiation of bone mesenchymal stem cells by sponging miR-129-5p.

Authors:  Junhao Yin; Zhanglong Zheng; Xiaoli Zeng; Yijie Zhao; Zexin Ai; Miao Yu; Yang'ou Wu; Jirui Jiang; Jia Li; Shengjiao Li
Journal:  PeerJ       Date:  2022-04-22       Impact factor: 3.061

Review 3.  Aging of mesenchymal stem cell: machinery, markers, and strategies of fighting.

Authors:  Mahmoud Al-Azab; Mohammed Safi; Elina Idiiatullina; Fadhl Al-Shaebi; Mohamed Y Zaky
Journal:  Cell Mol Biol Lett       Date:  2022-08-19       Impact factor: 8.702

  3 in total

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