As the relevant literature and the number of experiments increase at a super linear rate, databases that curate and collect experimentally verified microRNA (miRNA) targets have gradually emerged. These databases attempt to provide efficient access to this wealth of experimental data, which is scattered in thousands of manuscripts. Aim of TarBase 6.0 (http://www.microrna.gr/tarbase) is to face this challenge by providing a significant increase of available miRNA targets derived from all contemporary experimental techniques (gene specific and high-throughput), while incorporating a powerful set of tools in a user-friendly interface. TarBase 6.0 hosts detailed information for each miRNA-gene interaction, ranging from miRNA- and gene-related facts to information specific to their interaction, the experimental validation methodologies and their outcomes. All database entries are enriched with function-related data, as well as general information derived from external databases such as UniProt, Ensembl and RefSeq. DIANA microT miRNA target prediction scores and the relevant prediction details are available for each interaction. TarBase 6.0 hosts the largest collection of manually curated experimentally validated miRNA-gene interactions (more than 65,000 targets), presenting a 16.5-175-fold increase over other available manually curated databases.
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http://dx.doi.org/10.1093/nar/gkr1161 | DOI Listing |
PLoS Pathog
January 2025
State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Virus-derived small interfering RNAs (vsiRNAs) have been widely recognized to play an antiviral immunity role. However, it is unclear whether vsiRNAs can also play a positive role in viral infection. Here, we characterized three highly abundant vsiRNAs mapped to the genomic termini of rice stripe virus (RSV), a negative-strand RNA virus transmitted by insect vectors.
View Article and Find Full Text PDFPLoS One
January 2025
College of Veterinary Medicine, Jilin Agricultural University, Changchun, China.
Porcine epidemic diarrhea virus (PEDV) is a significant pathogen affecting swine, causing severe economic losses worldwide. This study explores the regulatory role of miRNA-328-3p to ZO-1 expression and its impact on PEDV proliferation via the PLC-β1-PKC pathway in IPEC-J2 cells. We found that miRNA-328-3p can target ZO-1, influencing its expression and subsequently affecting the integrity of tight junctions in the cells.
View Article and Find Full Text PDFPlanta
January 2025
ICAR-National Institute for Plant Biotechnology, New Delhi, 110012, Delhi, India.
Small RNA sequencing analysis in two chickpea genotypes, JG 62 (Fusarium wilt-susceptible) and WR 315 (Fusarium wilt-resistant), under Fusarium wilt stress led to identification of 544 miRNAs which included 406 known and 138 novel miRNAs. A total of 115 miRNAs showed differential expression in both the genotypes across different combinations. A miRNA, Car-miR398 targeted copper chaperone for superoxide dismutase (CCS) that, in turn, regulated superoxide dismutase (SOD) activity during chickpea-Foc interaction.
View Article and Find Full Text PDFFASEB J
January 2025
Department of Clinical Biochemistry, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Cholesterol is vital for nerve processes. Changes in cholesterol homeostasis lead to neurodegeneration and Alzheimer's disease (AD). In recent years, extensive research has confirmed the influential role of adipose tissue mesenchymal stem cells (MSCs) in managing AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
German Center for Neurodegenerative Diseases (DZNE), Bonn, North Rhine-Westphalia, Germany.
Background: MicroRNAs have been linked to dementia. However, understanding their relation to cognition in the general population is required to determine their potential use for the detection and prevention of age-associated cognitive decline and preclinical dementia. Therefore, we examined the association of circulating microRNAs with cognitive performance in a population-based cohort and the possible underlying mechanisms.
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