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: snoRNAs have traditionally been known for their role as guides in post-transcriptional rRNA modifications. Previously, our research group identified several RNAs that may bind to PIP2 with LIPRNA-seq. Among them, snR191 stood out due to its potential specific interaction with this lipid, distinguishing itself from other snoRNAs. However, a detailed study is needed to define the molecular interactions between RNA and lipids, which remain unknown but may serve as a mechanism for transport or liquid-liquid phase separation. This study aimed to determine the interaction between a snoRNA called snR191 and PIP2. : A novel methodology for RNA-PIP2 interaction was carried out. Total RNA from was incubated with PIP2-bound nitrocellulose membranes and RT-PCR reactions. We performed the prediction of snR191-PIP2 interaction by molecular docking and in silico mutations of snoR191. : From LIPRNA-seq analysis, we identified that PIP2-bound RNAs were significantly enriched in diverse biological processes, including transmembrane transport and redox functions. Our RNA-PIP2 interaction approach was successful. We demonstrated that snR191 specifically interacts with PIP2 in vitro. The elimination of DNA ensured that the interaction assay was RNA-specific, strengthening the robustness of the experiment. PIP2 was docked to snR191 in a stem-loop-stem motif. Six hydrogen bonds across four nucleotides mediated the PIP2-snR191 interaction. Finally, mutations in snR191 affected the structural folding. : In this study, we demonstrate the effectiveness of a new methodology for determining RNA-lipid interactions, providing strong evidence for the specific interaction between snR191 and PIP2. Integrating biochemical and computational approaches has allowed us to understand the binding of these biomolecules. Therefore, this work significantly broadens our understanding of snR191-PIP2 interactions and opens new perspectives for further research.
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http://dx.doi.org/10.3390/ncrna11040055 | DOI Listing |
J Sep Sci
September 2025
Programa De Pós-Graduação em Química, Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brazil.
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View Article and Find Full Text PDFJ Sep Sci
September 2025
Department of Analytical Chemistry, Faculty of Science, Palacký University Olomouc, Olomouc, Czech Republic.
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View Article and Find Full Text PDFAnim Sci J
January 2025
Department of Animal Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.
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View Article and Find Full Text PDFGenome Biol
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Fisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611730, China.
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View Article and Find Full Text PDFBMC Emerg Med
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Department of Neurology and Clinical Neuroscience, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Background: Identifying suspected anterior circulation large-vessel occlusion (aLVO) strokes during emergency calls could enhance dispatch efficiency, particularly in rural areas. However, data on emergency medical dispatchers' (EMDs) ability to recognize aLVO symptoms remain limited. This simulation study aimed to evaluate the feasibility of identifying side-specific arm paresis, side-specific conjugate eye deviation (CED), and aphasia during emergency calls by instructing layperson callers to perform brief, standardized examination steps.
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