AI Article Synopsis

  • Methyl-CpG-binding protein 2 (MeCP2) modulates gene expression by binding to methylated CpG sites, and this study investigates its role in human gastric adenocarcinoma.
  • The researchers employed a combination of expression microarray and ChIP-seq to identify MeCP2's gene targets, finding 5,684 binding peaks and establishing a genome-wide binding pattern.
  • The findings suggest that MeCP2 functions as a versatile transcriptional regulator, with its effects on gene expression being influenced by various factors like the microenvironment and the methylation status of the binding sites.

Article Abstract

Methyl-CpG-binding protein 2 (MeCP2) epigenetically modulates gene expression through genome-wide binding to methylated CpG dinucleotides. This study aimed to evaluate the effect of MeCP2 on the global gene expression profile of human gastric adenocarcinoma to determine the potential molecular mechanism of MeCP2. To identify the gene targets of MeCP2 in gastric cancer cells, we combined the expression microarray and chromatin immunoprecipitation approaches of MeCP2, followed by sequencing (ChIP-seq) to define the MeCP2-binding sites across the whole genome. The methylation levels of the promoters in BGC-823 cells were downloaded from the National Center for Biotechnology Information Gene Expression Omnibus database (GSM1093053). A total of 5,684 ChIP-enriched peaks were identified by comparing IP and Input, using a -value threshold of 10 in ChIP-seq. The bioinformatics analysis presented a predictive model of the genome-wide MeCP2-binding pattern, in which the MeCP2 binding site is closely related to the transcription start site region in the genome. The results of motif detection showed that the MeCP2-binding regions contained not only the core CpG motif but also the extended poly (A/T) motifs. Finally, an integrative analysis of the sequence features and DNA methylation states revealed that MeCP2's function as a multifunctional transcriptional regulator may not be directly related to the methylation status of the binding site. The first MeCP2 ChIP-seq and gene expression microarray analysis in BGC-823 cells revealed that MeCP2 plays multiple roles in the regulation of gene expression depending on the microenvironment, such as sequence characteristics and the methylation levels of binding sites.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414497PMC

Publication Analysis

Top Keywords

gene expression
20
bgc-823 cells
12
mecp2
8
expression microarray
8
methylation levels
8
binding site
8
gene
6
expression
6
genome-wide analysis
4
analysis reveals
4

Similar Publications

Psychological distress, including anxiety or mood disorders, emanates from the onset of chronic/unpredictable stressful events. Symptoms in the form of maladaptive behaviors are learned and difficult to treat. While the origin of stress-induced disorders seems to be where learning and stress intersect, this relationship and molecular pathways involved remain largely unresolved.

View Article and Find Full Text PDF

DCLRE1B as a novel prognostic biomarker associated with immune infiltration: a pancancer analysis.

Sci Rep

December 2024

Department of Orthopedics, The Second Affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi Province, China.

The DNA cross-link repair 1B (DCLRE1B) gene is involved in repairing cross-links between DNA strands, including those associated with Hoyeraal-Hreidarsson syndrome and congenital dyskeratosis. However, its role in tumours is not well understood. DCLRE1B expression profiles were examined in tumour tissues and normal tissues using TCGA, GTEx, and TARGET datasets.

View Article and Find Full Text PDF

Dopamine (DA) plays important roles in various behaviors, including learning and motivation. Recently, THOC5 was identified as an important regulator in the development of dopaminergic neurons. However, how THOC5 is regulated has not been explored.

View Article and Find Full Text PDF

Cuproptosis, a newly identified form of cell death, has drawn increasing attention for its association with various cancers, though its specific role in colorectal cancer (CRC) remains unclear. In this study, transcriptomic and clinical data from CRC patients available in the TCGA database were analyzed to investigate the impact of cuproptosis. Differentially expressed genes linked to cuproptosis were identified using Weighted Gene Co-Expression Network Analysis (WGCNA).

View Article and Find Full Text PDF

Fibrolamellar Hepatocellular Carcinoma (FLC) is a rare liver cancer characterized by a fusion oncokinase of the genes DNAJB1 and PRKACA, the catalytic subunit of protein kinase A (PKA). A few FLC-like tumors have been reported showing other alterations involving PKA. To better understand FLC pathogenesis and the relationships among FLC, FLC-like, and other liver tumors, we performed a massive multi-omics analysis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!