To profile and characterize the circular RNA (circRNA) expression pattern in poorly differentiated gastric adenocarcinoma (PDGA). CircRNA expression profiles in PDGA and adjacent nontumor tissues were analyzed by microarray. Five randomly selected differentiated expressed circRNAs (DECs) were validated by real-time quantitative PCR. m6A qualification of the top 20 DECs was conducted by m6A-immunoprecipitation and real-time quantitative PCR. A total of 65 DECs were found in PDGA compared with the control. Hsa_circRNA_0077837 had the largest area under the curve. Most DECs had m6A modifications, the trend of m6A modification alteration was mainly consistent with the circRNA expression level. Our study revealed a set of DECs and their m6A modification alterations, which may provide new insight for their potential function in PDGA.
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http://dx.doi.org/10.2217/epi-2019-0153 | DOI Listing |
Cancer Biol Med
January 2025
State Key Laboratory of Advanced Medical Materials and Devices, Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Tianjin Institutes of Health Science, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China.
The diverse radiation types in medical treatments and the natural environment elicit complex biological effects on both cancerous and non-cancerous tissues. Radiation therapy (RT) induces oncological responses, from molecular to phenotypic alterations, while simultaneously exerting toxic effects on healthy tissue. N-methyladenosine (mA), a prevalent modification on coding and non-coding RNAs, is a key epigenetic mark established by a set of evolutionarily conserved enzymes.
View Article and Find Full Text PDFFASEB J
January 2025
Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Macrophage infiltration and activation is a key factor in the progression of diabetic nephropathy (DN). However, aerobic glycolysis induced by m6A methylation modification plays a key role in M1-type activation of macrophages, but the specific mechanism remains unclear in DN. In this study, the expression of m6A demethylase Fto in bone marrow derived macrophages and primary kidney macrophages from db/db mice.
View Article and Find Full Text PDFToxicol Res (Camb)
February 2025
Gastrointestinal Center, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, No. 98, West Nantong Road, Yangzhou, Jiangsu 225001, China.
Purpose: This study aimed to explore the relationship between m6A demethylase ALKBH5 and long noncoding RNA TUG1 (TUG1), as well as their effects on proliferation, migration, and angiogenesis in gastric cancer (GC) cells.
Methods: The Cancer Genome Atlas (TCGA) database was utilized to analyze the relative expression levels of ALKBH5, TUG1, and vascular endothelial growth factor A (VEGFA). Survival analyses of TUG1, ALKBH5, and VEGFA were performed using the Gene Expression Profiling Interactive Analysis (GEPIA) and Kaplan-Meier databases.
is an obligate human parasite of the phylum Apicomplexa and is the causative agent of the most lethal form of human malaria. Although N6-methyladenosine modification is thought to be one of the major post-transcriptional regulatory mechanisms for stage-specific gene expression in apicomplexan parasites, the precise base position of m6A in mRNAs or noncoding RNAs in these parasites remains unknown. Here, we report global nucleotide-resolution mapping of m6A residues in using DART-seq technology, which quantitatively displayed a stage-specific, dynamic distribution pattern with enrichment near mRNA 3' ends.
View Article and Find Full Text PDFJ Cell Mol Med
January 2025
Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lung adenocarcinoma (LUAD) involves complex dysregulated cellular processes, including programmed cell death (PCD), influenced by N6-methyladenosine (m6A) RNA modification. This study integrates bulk RNA and single-cell sequencing data to identify 43 prognostically valuable m6A-related PCD genes, forming the basis of a 13-gene risk model (m6A-related PCD signature [mPCDS]) developed using machine-learning algorithms, including CoxBoost and SuperPC. The mPCDS demonstrated significant predictive performance across multiple validation datasets.
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