Dataset Information

Loss of non-coding RNA expression from the DLK1-DIO3 imprinted locus correlates with reduced neural differentiation potential in human embryonic stem cell lines

ABSTRACT: Pluripotent stem cells are increasingly used for therapeutic models, including transplantation of neural progenitors derived from human embryonic stem cells (hESCs). Recently, long non-coding RNAs (lncRNAs), including Maternally Expressed Gene 3 (MEG3) that is derived from DLK1-DIO3 imprinted locus, were found to be expressed during neural developmental events. Their deregulations are associated with various neurological diseases. The DLK1-DIO3 imprinted locus encodes abundant non-coding RNAs (ncRNAs) that are regulated by differential methylation on the locus. The aim of our research is to study the correlation between the DLK1-DIO3 derived ncRNAs and the capacity of hESC neural lineage differentiation. We classified hESCs into MEG3-ON and MEG3-OFF based on the expression levels of MEG3 as well as its downstream miRNAs by qRT-PCR. Initial embryoid body (EB) formation was conducted to examine the three germ layer differentiation ability. cDNA microarray was used to analyze the gene expression profiles of hESCs. Directed neural lineage differentiation was performed, followed by analysis of neural lineage marker expression levels and neurite formation via qRT-PCR and immunocytochemistry methods to investigate the capacity of neural differentiation in MEG3-ON and MEG3-OFF hESCs

ORGANISM(S): Homo sapiens

PROVIDER: GSE58809 | GEO | 2014/11/05

SECONDARY ACCESSION(S): PRJNA254101

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Epithelial-to-mesenchymal transition (EMT) and its reversed process mesenchymal-to-epithelial transition (MET) play a critical role in epithelial plasticity during development and cancer progression. Among important regulators of these cellular processes are non-coding RNAs (ncRNAs). The imprinted DLK1-DIO3 locus, containing numerous maternally expressed ncRNAs including the lncRNA maternally expressed gene 3 (MEG3) and a cluster of over 50 miRNAs, has been shown to be a modulator of stemness in embryonic stem cells and in cancer progression, potentially through the tumor suppressor role of MEG3. In this study we analyzed the expression pattern and functional role of ncRNAs from the DLK1-DIO3 locus in epithelial plasticity of the breast. We studied their expression in various cell types of breast tissue and revisit the role of the locus in EMT/MET using a breast epithelial progenitor cell line (D492) and its isogenic mesenchymal derivative (D492M). Marked upregulation of ncRNAs from the DLK1-DIO3 locus was seen after EMT induction in two cell line models of EMT. In addition, the expression of MEG3 and the maternally expressed ncRNAs was higher in stromal cells compared to epithelial cell types in primary breast tissue. We also show that expression of MEG3 is concomitant with the expression of the ncRNAs from the DLK1-DIO3 locus and its expression is therefore likely indicative of activation of all ncRNAs at the locus. MEG3 expression is correlated with stromal markers in normal tissue and breast cancer tissue and negatively correlated with the survival of breast cancer patients in two different cohorts. Overexpression of MEG3 using CRISPR activation in a breast epithelial cell line induced partial EMT and enriched for a basal-like phenotype. Conversely, knock down of MEG3 using CRISPR inhibition in a mesenchymal cell line reduced the mesenchymal and basal-like phenotype of the cell line. In summary our study shows that maternally expressed ncRNAs are markers of EMT and suggests that MEG3 is a novel regulator of EMT/MET in breast tissue. Nevertheless, further studies are needed to fully dissect the molecular pathways influenced by non-coding RNAs at the DLK1-DIO3 locus in breast tissue.

Dataset Information

Loss of non-coding RNA expression from the DLK1-DIO3 imprinted locus correlates with reduced neural differentiation potential in human embryonic stem cell lines

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets