This study describes the first application of unlocked nucleic acid (UNA)-modified small interfering RNAs (siRNAs) directed against a medically relevant target, the coxsackievirus B3. We systematically analyzed the impact of different siRNA modification patterns and observed good compatibility of the introduction of UNA with the maintenance of high antiviral activity. Additionally, the polarity of an siRNA was successfully reversed by modulating the relative stability of the termini with locked nucleic acid (LNA) and UNA as shown in a reporter assay. The potency of the reversed siRNA against the full-length target was, however, too low to inhibit the infectious virus. Altogether, combined modification of siRNAs with LNA und UNA provides a promising approach to alter and improve properties of an siRNA.
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http://dx.doi.org/10.1016/j.febslet.2009.12.007 | DOI Listing |
Sci Rep
December 2024
Department of Microbiology, Faculty of Sciences, CEI·MAR-International Campus of Excellence in Marine Science, University of Malaga, Málaga, Spain.
The inclusion of microalgae in functional fish diets has a notable impact on the welfare, metabolism and physiology of the organism. The microbial communities associated with the fish are directly influenced by the host's diet, and further understanding the impact on mucosal microbiota is needed. This study aimed to analyze the microbiota associated with the skin and gills of Sparus aurata fed a diet containing 10% microalgae.
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December 2024
Department of Drug Prohibition and Public Security, Criminal Investigation Police University of China, Shenyang, 110035, China.
Methamphetamine use disorder has emerged as a significant public health concern globally. This study endeavors to elucidate the alterations in expression changes of miRNAs in the plasma of methamphetamine use disorder and elucidate the alterations in miRNA expression in the plasma of individuals with methamphetamine use disorder and investigate the relationship between these differentially expressed miRNAs and the disorder itself, cravings for methamphetamine, and associated mental disorders. Furthermore, the study seeks to clarify the expression of downstream target molecules of specific miRNAs in the plasma of methamphetamine use disorder, assess the diagnostic utility of these miRNAs and their target molecules, explore their potential as biomarkers, and identify potential targets for the diagnosis and treatment of methamphetamine use disorder.
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December 2024
Department of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China.
While circular RNAs (circRNAs) exhibit lower abundance compared to corresponding linear RNAs, they demonstrate potent biological functions. Nevertheless, challenges arise from the low concentration and distinctive structural features of circRNAs, rendering existing methods operationally intricate and less sensitive. Here, we engineer an intelligent tetrahedral DNA framework (TDF) possessing precise spatial pattern-recognition properties with exceptional sensing speed and sensitivity for circRNAs.
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December 2024
Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, 2-2-E2, Yamada-Oka, Suita, Osaka, 565-0871, Japan.
Esophageal cancer is a highly aggressive disease, and acquired resistance to chemotherapy remains a significant hurdle in its treatment. mtDNA, crucial for cellular energy production, is prone to mutations at a higher rate than nuclear DNA. These mutations can accumulate and disrupt cellular function; however, mtDNA mutations induced by chemotherapy in esophageal cancer remain unexplored.
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December 2024
School of Data Science, The Chinese University of Hong Kong-Shenzhen, Shenzhen, China.
Recently, RNA velocity has driven a paradigmatic change in single-cell RNA sequencing (scRNA-seq) studies, allowing the reconstruction and prediction of directed trajectories in cell differentiation and state transitions. Most existing methods of dynamic modeling use ordinary differential equations (ODE) for individual genes without applying multivariate approaches. However, this modeling strategy inadequately captures the intrinsically stochastic nature of transcriptional dynamics governed by a cell-specific latent time across multiple genes, potentially leading to erroneous results.
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