PLX261454

GSE105145: Bone marrow-derived and dental pulp-derived human mesenchymal stem cell RNA-Seq

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Lineage commitment and tumorigenesis specify adult stem cells from different tissues or organs. To gain insight into the mechanism of this programming, phenotypic, functional and transcriptome analyses were performed in mesenchymal stem cells derived from human dental pulp (DPSCs) and bone marrow (BMSCs). DPSCs and BMSCs had similar morphologies and flow cytometric profiles, and were capable of tri-lineage differentiation into osteoblast, adipocyte and chondocyte. However, compared with BMSCs, DPSCs increased in osteogenic potential, decreased in adipogenic potential, and formed dentin-pulp-like complexes in vivo. Genome-wide RNA-seq and differential expression analysis revealed that signalings such as, phosphatase and tensin homolog (PTEN)/PI3K/AKT pathway, and cancer-related pathway were different in both cells. Differential PTEN expression, higher in DPSCs than BMSCs, was responsible for the lineage commitment and tumorigenesis differences in both cells. Besides, BMSCs decreased in PTEN DNA methylation compared to DPSCs, which was mediated by increased DNA (cytosine-5) methyltransferase 3B (DNMT3B) expression. Furthermore, histone methyltransferase G9a mediated repressive epigenetic mark H3K9Me2 was selectively enriched in BMSCs. Moreover, DPSCs were more resistant to oncogenic transformation than BMSCs. To link lineage commitment with tumorigenesis, we demonstrated that DPSCs were more resistant to oncogenic transformation than BMSCs and PTEN deficiency increased the sensitivity of DPSCs for tumorigenic transformation. The results help understanding the roles of the epigenetic factors in lineage commitment and tumorigenesis and also for therapeutic uses of adult stem cells. SOURCE: Shih-Chieh Hung (hung3340@gmail.com) - China Medical University Hospital

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team