Hubrecht Laboratory-KNAW, University of Utrecht, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands.
Published: August 2006
AI Article Synopsis
Article Abstract
Small RNA molecules participate in a variety of activities in the cell: in a process known as RNA interference (RNAi), double-stranded RNA triggers the degradation of messenger RNA that has a matching sequence; the small RNA intermediates of this process can also modify gene expression in the nucleus. Here we show that a single episode of RNAi in the nematode Caenorhabditis elegans can induce transcriptional silencing effects that are inherited indefinitely in the absence of the original trigger. Our findings may prove useful in the ongoing development of RNAi to treat disease.
Background: Previous research has demonstrated correlations between the complex types and functions of brain cells and the etiology of glioma. However, the causal relationship between gene expression regulation in specific brain cell types and glioma risk, along with its therapeutic implications, remains underexplored.
Methods: Utilizing brain cell type-specific cis-expression quantitative trait loci (cis-eQTLs) and glioma genome-wide association study (GWAS) datasets in conjunction with Mendelian randomization (MR) and colocalization analyses, we conducted a systematic investigation to determine whether an association exists between the gene expression of specific brain cell types and the susceptibility to glioma, including its subtypes.
Non-small cell lung cancer (NSCLC) is the most pervasive sort of lung cancer with deadly outcome. According to recent studies, a number of neoplastic disorders and ferroptosis are intimately connected. This study aims to identify the role of key ferroptosis-related gene (protein kinase AMP-activated catalytic subunit alpha 2, PRKAA2) and explore new directions for the diagnosis and treatment of NSCLC.
Background: Tumor recurrence or metastasis after surgery is a significant factor influencing bladder cancer (BC) prognosis. Novel molecular biomarkers are necessary to determine each patient's specific outcome because current biomarkers have limited power for predicting prognosis. The proto-oncogene MET encodes c-MET, a tyrosine kinase receptor.
Introduction: Low back pain (LBP) is a significant global health burden, with variable treatment outcomes and an unclear underlying molecular mechanism. Effective prediction of treatment responses remains a challenge. In this study, we aimed to develop gene signature-based machine learning models using transcriptomic data from peripheral immune cells to predict treatment outcomes in patients with LBP.
Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao University, No. 16 Jiangsu Road, Qingdao, 266000, Shandong Province, China.
A poorer prognosis is thought to be associated with "double expressor lymphomas," which are a subtype of diffuse large B cell lymphomas (DLBCL) that co-express MYC and BCL2. While the role of ubiquitin-specific peptidase 37 (USP37) in lung cancer, where it mediates the deubiquitination and stabilization of c-myc, has been well-documented, its involvement in DLBCL remains unexplored. The use of RT-PCR, immunohistochemistry, or WB test allowed for the detection of elevated USP37 in DLBCL tissues and cells.
