Exonic circular RNAs (circRNAs) are RNA molecules that are covalently closed by back-splicing via canonical splicing machinery. Despite overlapping sequences, exon circularization generates RNA secondary structures through intramolecular base-pairing that are different from the linear transcript. Here we review factors that may affect circRNA structure and how structure affects circRNA function and regulation. We highlight considerations for RNA sequencing and expression measurement to ensure highly structured circRNAs are accurately represented by the data and discuss issues that need to be addressed in generating circRNAs to recapitulate their endogenous structures. We conclude our review by discussing experimental strategies on revealing the varied roles of RNA structure in circRNA biogenesis, function and decay.
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http://dx.doi.org/10.1016/j.ymeth.2021.02.019 | DOI Listing |
J Am Chem Soc
January 2025
Department of Polymer Science and Engineering, University of Massachusetts, Amherst, Massachusetts 01003, United States.
Direct translocation of RNA with secondary structures using single-molecule electrophoresis through protein nanopores shows significant fluctuations in the measured ionic current, in contrast to unstructured single-stranded RNA or DNA. We developed a multiscale model combining the oxRNA model for RNA with the 3-dimensional Poisson-Nernst-Planck formalism for electric fields within protein pores, aiming to map RNA conformations to ionic currents as RNA translocates through three protein nanopores: α-hemolysin, CsgG, and MspA. Our findings reveal three distinct stages of translocation (pseudoknot, melting, and molten globule) based on contact maps and current values.
View Article and Find Full Text PDFLancet Reg Health Am
January 2025
Departamento de Infectología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Background: The proportion of people living with HIV (PLWHIV) co-infected with HCV in Mexico was unknown. Our aim was to estimate the seroprevalence of HCV among adults with HIV in Mexico.
Methods: Using a complex-survey design, we collected blood samples and applied structured questionnaires between May 2nd, 2019 and February 17th, 2020 in a nationally, representative sample of adults receiving care for HIV-infection in 24 randomly selected HIV-care centres in 8 socio-demographically regions in Mexico.
iScience
January 2025
Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
We and others previously found that a misannotated long noncoding RNA encodes for a conserved mitochondrial transmembrane microprotein named Mitoregulin (Mtln). Beyond an established role for Mtln in lipid metabolism, Mtln has been shown to broadly influence mitochondria, boosting respiratory efficiency and Ca retention capacity, while lowering ROS, yet the underlying mechanisms remain unresolved. Prior studies have identified possible Mtln protein interaction partners; however, a lack of consensus persists, and no claims have been made about Mtln's structure.
View Article and Find Full Text PDFBiol Methods Protoc
January 2025
Department of Physics, George Washington University, Washington, DC 20052, United States.
A mixture-of-experts (MoE) approach has been developed to mitigate the poor out-of-distribution (OOD) generalization of deep learning (DL) models for single-sequence-based prediction of RNA secondary structure. The main idea behind this approach is to use DL models for in-distribution (ID) test sequences to leverage their superior ID performances, while relying on physics-based models for OOD sequences to ensure robust predictions. One key ingredient of the pipeline, named MoEFold2D, is automated ID/OOD detection via consensus analysis of an ensemble of DL model predictions without requiring access to training data during inference.
View Article and Find Full Text PDFCurr Drug Discov Technol
December 2024
Department of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, PushpViharSector-3, M-B Road, New Delhi, 110017, India.
Background: Computer-Aided Drug Design (CADD) approaches are essential in the drug discovery and development process. Both academic institutions and pharmaceutical and biotechnology corporations utilize them to enhance the efficacy of bioactive compounds.
Objective: This study aims to entice researchers by investigating the benefits of Computer-Aided Drug and Design (CADD) and its fundamental principles.
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