Dataset Information

S1P mediates key targets associated with survival, proliferation and pluripotency in human embryonic stem cells

ABSTRACT: Human embryonic stem cells (hESCs) replicate by the process of self-renewal, whilst maintaining their pluripotency. Understanding the pathways involved in the regulation of this self-renewal process will assist in developing fully-defined conditions for the proliferation of hESCS required for therapeutic applications. We previously demonstrated a role for Sphingosine-1-phosphate (S1P) in the survival and proliferation of hESCs. The present study investigates further key signalling pathways and the downstream targets of S1P. Microarrays were used to examine changes in gene expression invoked by treatment of human embryonic stem cells grown upon different matrices Keywords: Karyotypically normal human Esc's

ORGANISM(S): Homo sapiens

PROVIDER: GSE7896 | GEO | 2007/05/25

SECONDARY ACCESSION(S): PRJNA99943

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:To gain new insights in the effect of S1P on angiogenesis and invasion of this type of malignant tumor, we used microarrays to investigate the gene expression in glioblastoma as a response to S1P administration in vitro. We compared the expression profiles for the same cell lines under the influence of epidermal growth factor (EGF), an important growth factor. Sphingosine 1-phosphate (S1P), a lysophospholipid, is involved in various cellular processes such as migration, proliferation, and survival. To date, the impact of S1P on human glioblastoma is not fully understood. Particularly, the concerted role played by matrix metalloproteinases (MMP) and S1P in aggressive tumor behavior and angiogenesis remains to be elucidated. To gain new insights in the effect of S1P on angiogenesis and invasion of this type of malignant tumor, we used microarrays to investigate the gene expression in glioblastoma as a response to S1P administration in vitro. We compared the expression profiles for the same cell lines under the influence of epidermal growth factor (EGF), an important growth factor. We found a set of 72 genes that are significantly differentially expressed as a unique response to S1P. Based on the result of mining full-text articles from 20 scientific journals in the field of cancer research published over a period of five years, we inferred gene-gene interaction networks for these 72 differentially expressed genes. Among the generated networks, we identified a particularly interesting one. It describes a cascading event, triggered by S1P, leading to the transactivation of MMP-9 via neuregulin-1 (NRG-1), vascular endothelial growth factor (VEGF), and the urokinase-type plasminogen activator (uPA). This interaction network has the potential to shed new light on our understanding of the role played by MMP-9 in invasive glioblastomas. Automated extraction of information from biological literature promises to play an increasingly important role in biological knowledge discovery. This is particularly true for high-throughput approaches, such as microarrays, and for combining and integrating data from different sources. Mining full-text articles, as opposed to abstracts only, may hold the key to unraveling previously unknown relationships between biological entities and could develop into an indispensable instrument in the process of formulating novel and potentially promising hypotheses.

Dataset Information

S1P mediates key targets associated with survival, proliferation and pluripotency in human embryonic stem cells

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets