98%
921
2 minutes
20
The RNA helicase Moloney leukemia virus 10 (MOV10) is involved in several RNA processing pathways, including RNA silencing, defense against viral RNA and nonsense-mediated mRNA decay (NMD). MOV10 is a member of the Up-frameshift 1 (UPF1)-family of superfamily 1 (SF1) helicases and like its prototype member, unwinds RNA duplexes bearing a 5'-single-stranded overhang. Sequence comparisons of MOV10 and UPF1 revealed significant identity between their RecA domains and considerable divergence between the N-terminal domains preceding the helicase core. Using in vitro biochemical approaches, we show that the N-terminal domain of MOV10 is functionally distinct from the CH domain of UPF1, both in terms of its impact on catalytic activity and the protein-protein interactions it mediates. MOV10 engages the NMD factor UPF2 via its N-terminal regulatory domain but binds a different region than the UPF1-CH domain. We propose that the interactions mediated by the MOV10-N-terminal domain dictate its localization to cytoplasmic RNA condensates such as P-bodies and stress granules. This is distinct from UPF1, whose localization appears to be driven by its interaction with RNA. Taken together, our work presents a mechanistic model for the recruitment and involvement of MOV10 in NMD, where it was proposed to act as an RNA clearance factor for UPF1.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12305709 | PMC |
http://dx.doi.org/10.1016/j.jbc.2025.110418 | DOI Listing |
Genome Biol
September 2025
Fisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611730, China.
Background: Fish are the largest group of vertebrates. Studying the characteristics, functions, and interactions of different fish cells is important for understanding their roles in disease and evolution. However, most single cell RNA-seq studies in fish are restricted to a few specific organs, leaving a comprehensive cell landscape that aims to characterize the heterogeneity and connections among body-wide organs largely unexplored.
View Article and Find Full Text PDFPhotochem Photobiol Sci
September 2025
Department of Genetics and Plant Breeding, C. P. College of Agriculture, S. D. Agricultural University, Sardarkrushinagar, 385506, India.
The electromobility shift assay (EMSA) is a popular and productive molecular biology tool for studying protein-nucleic acid interactions. EMSA is a technique applied to the revelation of the binding dynamics of proteins, like transcription factors, to DNA or RNA. There are ample essential phases in the technique.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
September 2025
Inner Mongolia Medical University Affiliated Hospital, Hohhot, 010030, Inner Mongolia, China.
Purpose: Lung cancer is currently the most common malignant tumor worldwide and one of the leading causes of cancer-related deaths, posing a serious threat to human health. MicroRNAs (miRNAs) are a class of endogenous non-coding small RNA molecules that regulate gene expression and are involved in various biological processes associated with lung cancer. Understanding the mechanisms of lung carcinogenesis and detecting disease biomarkers may enable early diagnosis of lung cancer.
View Article and Find Full Text PDFBiochem Genet
September 2025
Department of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University Cerrahpasa, Kocamustafapasa, 34098, Istanbul, Turkey.
Glioblastoma is the most aggressive and malignant tumor of the central nervous system. Current treatment options, including surgical excision, radiotherapy, and chemotherapy, have Limited efficacy, with a median survival rate of approximately 15 months. To develop novel therapeutics, it is crucial to understand the underlying molecular mechanisms driving glioblastoma.
View Article and Find Full Text PDFTheor Appl Genet
September 2025
Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Sanitz, 18190, Germany.
Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations.
View Article and Find Full Text PDF