Tet2 regulates Barx2 expression in undifferentiated and early differentiated mouse embryonic stem cells.

The methylcytosine oxidase TET proteins play important roles in DNA demethylation and development. In developing embryos, TET2 are upregulated during pre-implantation development, and significantly expressed in the trophectoderm and inner cell mass. In this study, we identified Barx2 as a new target of Tet2. Tet2 bound and demethylated the promoter of Barx2 in mouse embryonic stem cells (mESCs) to maintain the expression of Barx2. During mESC differentiation, Tet2 bound the promoter of Barx2 in day 4 embryonic bodies but not in day 8 EBs. However, Barx2 expression remained unchanged. Thus, Tet2 functioned as a demethylase and maintained the expression of Barx2 in undifferentiated and early differentiated mESCs.

eIF3a mediates HIF1α-dependent glycolytic metabolism in hepatocellular carcinoma cells through translational regulation.

eIF3a is the largest subunit of eIF3 complex and is a key player in translational control. Recently eIF3a is recognized as a proto-oncogene, which is overexpressed and connected to tumorigenesis of many cancers. However, the mechanistic roles of eIF3a during the tumorigenesis remain largely elusive. Here, we report that depletion of eIF3a significantly reduced HIF1α protein level and cellular glycolysis ability. Mechanistically, we found that eIF3a regulates HIF1α protein synthesis through internal ribosomal entry site (IRES)-dependent translation. Importantly, through analyses of our own sample collection, we found that eIF3a is overexpressed in hepatocellular carcinoma (HCC) tissues, and a high level of eIF3a predicts poor prognosis of HCC patients. TCGA analyses further confirmed that eIF3a is coincident with an elevated activity of HIF1α pathway genes. Collectively, we identify eIF3a as a regulator for glycolysis through HIF1α IRES-dependent translational regulation, which may be a potential therapeutic target for HCC.

Network Cluster Analysis of Protein-Protein Interaction Network-Identified Biomarker for Type 2 Diabetes.

Type 2 diabetes mellitus (T2DM) is a complex disease that is caused by an impairment in the secretion of ß-cell insulin and by a peripheral resistance to insulin. Most patients suffering from T2DM and from obesity exhibit insulin resistance in the muscles, liver, and fat, resulting in a reduced response of these tissues to insulin. In healthy individuals, pancreatic islet ß-cells secrete insulin to regulate the increase in blood glucose levels. Once these ß-cells fail to function, T2DM develops. Despite the progress achieved in this field in recent years, the genetic causes for insulin resistance and for T2DM have not yet been fully discovered. The present study aims to characterize T2DM by comparing its gene expression with that of normal controls, as well as to identify biomarkers for early T2DM. Gene expression profiles were downloaded from the Gene Expression Omnibus, and differentially expressed genes (DEGs) were identified for type 2 diabetes. Furthermore, functional analyses were conducted for the gene ontology and for the pathway enrichment. In total, 781 DEGs were identified in the T2DM samples relative to healthy controls. These genes were found to be involved in several biological processes, including cell communication, cell proliferation, cell shape, and apoptosis. We constructed a protein-protein interaction (PPI) network, and the clusters in the PPI were analyzed by using ClusterONE. Six functional genes that may play important roles in the initiation of T2DM were identified within the network.