Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P04155 (pS2)
 1,234 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The orphan nuclear hormone receptor estrogen-related receptor alpha (ERRalpha, NR3B1) is a constitutive transcription factor that is structurally and functionally related to the classic estrogen receptors. ERRalpha can recognize both the estrogen response element and its own binding site (ERRE) in either dimeric or monomeric forms. ERRalpha is also a phosphoprotein whose expression in human breast tumors correlates with that of the receptor tyrosine kinase ErbB2, suggesting that its transcriptional activity could be regulated by signaling cascades. Here, we investigated growth factor regulation of ERRalpha function and found that it is phosphorylated in MCF-7 breast cancer cells in response to epidermal growth factor (EGF), an event that enhances its DNA binding. Interestingly, treatment with alkaline phosphatase shifts ERRalpha from a dimeric to a monomeric DNA-binding factor, and only the dimeric form interacts with the coactivator PGC-1alpha. In vitro, the DNA-binding domain of ERRalpha is selectively phosphorylated by protein kinase Cdelta (PKCdelta), which increases its DNA-binding activity, whereas expression of constitutively active PKCdelta enhances TFF1 promoter activity via the ERRE. However, whereas treatment of MCF-7 cells with the phorbol ester phorbol-12-myristate 13-acetate also enhances ERRalpha activation of the TFF1 promoter reporter, it does not affect ERRalpha activity on its own promoter. In agreement, chromatin immunoprecipitation analysis shows that ERRalpha and RNA polymerase II are preferentially recruited to the TFF1 promoter after EGF treatment, whereas recruitment of these factors to its own promoter is not affected. These results reveal a mechanism through which growth factor signaling can selectively activate ERRalpha target genes in breast cancer cells.
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PMID:Epidermal growth factor-induced signaling in breast cancer cells results in selective target gene activation by orphan nuclear receptor estrogen-related receptor alpha. 1602 13

The orphan nuclear receptor estrogen-related receptor alpha (ERRalpha, NR3B1) is a constitutively active transcription factor that controls multiple processes, most notably mitochondrial function. ERRalpha preferentially binds to a nine-nucleotide extended half-site sequence TNAAGGTCA, referred to as the ERRE, as either a monomer or a dimer, although how the mode of DNA binding is dictated remains to be determined. Here, we used variants of the extended half-site sequence and selective DNA binding domain mutants of ERRalpha to investigate the effects of ERRE sequence specificity on ERRalpha DNA binding mode, transactivation and interaction with the coactivator protein peroxisome proliferator-activated receptor gamma coactivator 1alpha (PGC-1alpha). We found that the base at the N position of the TNAAGGTCA sequence dictated ERRalpha binding preference as a monomer or dimer. In addition, we demonstrated that the threonine residue at position 124 (Thr(124)) was a determinant of ERRalpha DNA-dependent dimerization. Transfection experiments also indicated that substituting a thymidine for a cytosine at the N position in the ERRE of the native ERRalpha target promoter trefoil factor 1 (TFF1) considerably diminished the transcriptional response of the ERRalpha/PGC-1alpha complex. These results suggest that a single nucleotide in an ERRalpha binding site can determine specific configuration to the receptor and productive interaction with the coactivator PGC-1alpha.
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PMID:A single nucleotide in an estrogen-related receptor alpha site can dictate mode of binding and peroxisome proliferator-activated receptor gamma coactivator 1alpha activation of target promoters. 1615 Aug 65

Helicobacter pylori infection increases age-related diverse overmethylation in gene-control regions, which increases the risk of gastric cancer. The H. pylori-associated overmethylation changes subsequently disappear when gastric atrophy and cancer develop. To identify cancer-risk epigenotypes, we traced dynamic methylation changes in the background mucosa of the stomach depending on the extent of gastric atrophy. Paired biopsy specimens were obtained from the noncancerous antrum and body mucosa of 102 patients with cancer and 114 H. pylori-positive and 112 H. pylori-negative controls. The grade of gastric atrophy was evaluated using the endoscopic atrophic border score. The methylation-variable sites at the CpG-island margins and near the transcriptional start sites lacking CpG islands were semiquantitatively analyzed by radioisotope-labeling methylation-specific PCR. We selected eight housekeeping genes adjacent to Alu (CDH1, ARRDC4, PPARG, and TRAPPC2L) or LTR retroelements (MMP2, CDKN2A, RUNX2, and RUNX3) and eight stomach-specific genes (TFF2, PGC, ATP4B, TFF1, TFF3, GHRL, PGA, and ATP4A). Analysis of age-related methylation in the H. pylori-positive controls revealed slow overmethylation in the body and in the LTR-adjacent genes. A high-frequency overmethylation defined based on the slowly overmethylated genes was frequently observed in the body of patients with gastric cancer with open-type atrophy (OR, 12.7; 95% confidence interval, 3.2-49.8). The rapidly changing methylation of Alu-adjacent genes was barely increased in the antrum of patients with gastric cancer. Among diverse methylation changes associated with H. pylori infection, an increase in slowly changing methylation could serve as a cancer-risk marker.
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PMID:Slow overmethylation of housekeeping genes in the body mucosa is associated with the risk for gastric cancer. 2465 29

Risk assessment and treatment choice remains a challenge in early non-small-cell lung cancer (NSCLC). The aim of this study was to identify novel genes involved in the risk of early relapse (ER) compared to no relapse (NR) in resected lung adenocarcinoma (AD) patients using a combination of high throughput technology and computational analysis. We identified 18 patients (n.13 NR and n.5 ER) with stage I AD. Frozen samples of patients in ER, NR and corresponding normal lung (NL) were subjected to Microarray technology and quantitative-PCR (Q-PCR). A gene network computational analysis was performed to select predictive genes. An independent set of 79 ADs stage I samples was used to validate selected genes by Q-PCR.From microarray analysis we selected 50 genes, using the fold change ratio of ER versus NR. They were validated both in pool and individually in patient samples (ER and NR) by Q-PCR. Fourteen increased and 25 decreased genes showed a concordance between two methods. They were used to perform a computational gene network analysis that identified 4 increased (HOXA10, CLCA2, AKR1B10, FABP3) and 6 decreased (SCGB1A1, PGC, TFF1, PSCA, SPRR1B and PRSS1) genes. Moreover, in an independent dataset of ADs samples, we showed that both high FABP3 expression and low SCGB1A1 expression was associated with a worse disease-free survival (DFS).Our results indicate that it is possible to define, through gene expression and computational analysis, a characteristic gene profiling of patients with an increased risk of relapse that may become a tool for patient selection for adjuvant therapy.
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PMID:Gene identification for risk of relapse in stage I lung adenocarcinoma patients: a combined methodology of gene expression profiling and computational gene network analysis. 2708