Ask about this productRelated genes to: GTF2E1 antibody
- Gene:
- GTF2E1 NIH gene
- Name:
- general transcription factor IIE subunit 1
- Previous symbol:
- -
- Synonyms:
- TFIIE-A, FE
- Chromosome:
- 3q13.33
- Locus Type:
- gene with protein product
- Date approved:
- 1993-08-20
- Date modifiied:
- 2016-10-05
Related products to: GTF2E1 antibody
Related articles to: GTF2E1 antibody
- Previous studies on general transcription factor II E (GTF2E) showed that it is associated with certain groups of diseases, such as colon cancer and trichothiodystrophy, but the global effect of GTF2E on cellular processes is still not widely characterized. This study aimed to investigate and characterize the effect of GTF2E on the transcription level of genes and identify the cellular processes and diseases associated with GTF2E. - Source: PubMed
Publication date: 2024/10/22
Baysal Serdar - MicroRNAs play important roles in the pathogenesis of human diseases by regulating target gene expression in specific cells or tissues. Previously, we identified microRNA 452 (), which was specifically upregulated in early stage of human colorectal cancer (CRC) tissues. Here, we show the biological role of and general transcription factor IIE subunit 1 () in colorectal cancer. A luciferase reporter system was used to confirm the effect of on expression. The expression levels of and the target genes were evaluated by quantitative RT-PCR (qRT-PCR) and western blotting. We verified the association between and the GTF2E1 expression and found that transcripts were directly downregulated by . The mRNA and protein levels of were also downregulated in CRC cells upon transfection with . GTF2E1 protein expression was decreased in CRC tissues compared to adjacent nontumour tissues. These results suggest that might directly or indirectly regulate the genes transcription related to CRC by downregulating GTF2E1 expression. - Source: PubMed
Su Mo JiCheon Chae Soo - The present study aims to investigate the correlation between the gene polymorphisms of the multidrug resistance protein 1 (ABCB1), the intron region of transcriptional factor (GTF2E1) and catechol--methyltransferase (COMT), dopamine receptor (DRD2), and the control of chemotherapy-induced nausea and vomiting (CINV) by olanzapine or aprepitant in a Chinese population under a fractionated cisplatin dosing pattern. - Source: PubMed
Publication date: 2021/07/15
Jin YilanJin GaowaZhao JunJiang CaihongZhao LanzhenJiang YingChen FengLi HuiWang WenjuanWu YungaowaLiu GuangLi XiaorongGu MinLi XiaomeiLi Quanfu - Several studies have already identified the prognostic markers in colorectal cancer (CRC) based on somatic copy number alteration (SCNA). However, very little information is available regarding their value as a prognostic marker. Gene dosage effect is one important mechanism of copy number and dosage-sensitive genes are more likely to behave like driver genes. In this work, we propose a new pipeline to identify the dosage-sensitive prognostic genes in CRC. The RNAseq data, the somatic copy number of CRC from TCGA were assayed to screen out the SCNAs. Wilcoxon rank-sum test was used to identify the differentially expressed genes in alteration samples with |SCNA| > 0.3. Cox-regression was used to find the candidate prognostic genes. An iterative algorithm was built to identify the stable prognostic genes. Finally, the Pearson correlation coefficient was calculated between gene expression and SCNA as the dosage effect score. The cell line data from CCLE was used to test the consistency of the dosage effect. The differential co-expression network was built to discover their function in CRC. A total of six amplified genes (NDUFB4, WDR5B, IQCB1, KPNA1, GTF2E1, and SEC22A) were found to be associated with poor prognosis. They demonstrate a stable prognostic classification in more than 50% threshold of SCNA. The average dosage effect score was 0.5918 ± 0.066, 0.5978 ± 0.082 in TCGA and CCLE, respectively. They also show great stability in different data sets. In the differential co-expression network, these six genes have the top degree and are connected to the driver and tumor suppressor genes. Function enrichment analysis revealed that gene NDUFB4 and GTF2E1 affect cancer-related functions such as transmembrane transport and transformation factors. In conclusion, the pipeline for identifying the prognostic dosage-sensitive genes in CRC was proved to be stable and reliable. - Source: PubMed
Publication date: 2020/01/09
Chang ZhiqiangMiao XiuxiuZhao Wenyuan - Copy-number variations (CNVs) are ubiquitous in cancer and often act as driver events, but the effects of CNVs on the proteome of tumors are poorly understood. Here, we analyze recently published genomics, transcriptomics, and proteomics datasets made available by CPTAC and TCGA consortia on 282 breast, ovarian, and colorectal tumor samples to investigate the impact of CNVs in the proteomes of these cells. We found that CNVs are buffered by post-transcriptional regulation in 23%-33% of proteins that are significantly enriched in protein complex members. Our analyses show that complex subunits are highly co-regulated, and some act as rate-limiting steps of complex assembly, as their depletion induces decreased abundance of other complex members. We identified 48 such rate-limiting interactions and experimentally confirmed our predictions on the interactions of AP3B1 with AP3M1 and GTF2E2 with GTF2E1. This study highlights the importance of post-transcriptional mechanisms in cancer that allow cells to cope with their altered genomes. - Source: PubMed
Publication date: 2017/10/11
Gonçalves EmanuelFragoulis AthanassiosGarcia-Alonso LuzCramer ThorstenSaez-Rodriguez JulioBeltrao Pedro