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The large-scale analysis of small-molecule binding to diverse RNA structures is key to understanding the required interaction properties and selectivity for developing RNA-binding molecules toward RNA-targeted therapies. Here, we report a new system for performing the large-scale analysis of small molecule-RNA interactions using a multiplexed pull-down assay with RNA structure libraries. The system profiled the RNA-binding landscapes of G-clamp and thiazole orange derivatives, which recognizes an unpaired guanine base and are good probes for fluorescent indicator displacement (FID) assays, respectively. We discuss the binding preferences of these molecules based on their large-scale affinity profiles. In addition, we selected combinations of fluorescent indicators and different ranks of RNA based on the information and screened for RNA-binding molecules using FID. RNAs with high- and intermediate-rank RNA provided reliable results. Our system provides fundamental information about small molecule-RNA interactions and facilitates the discovery of novel RNA-binding molecules.
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http://dx.doi.org/10.1038/s42004-024-01181-8 | DOI Listing |
Genome Biol
September 2025
Center for Genomic Medicine, Cardiovascular Research Center, , Massachusetts General Hospital Simches Research Center, 185 Cambridge Street, CPZN 5.238,, Boston, MA, 02114, USA.
Background: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability.
View Article and Find Full Text PDFEur J Clin Pharmacol
September 2025
Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
Background And Objective: While current clinical guidelines generally advocate for beta-blocker therapy following acute myocardial infarction (AMI), conflicting findings have surfaced through large-scale observational studies and meta-analyses. We conducted this systematic review and meta-analysis of published observational studies to quantify the long-term therapeutic impact of beta-blocker across heterogeneous AMI populations.
Methods: We conducted comprehensive searches of the PubMed, Embase, Cochrane, and Web of Science databases for articles published from 2000 to 2025 that examine the link between beta-blocker therapy and clinical outcomes (last search update: March 1, 2025).
Psychogeriatrics
September 2025
Department of Psychiatry, The 4th People's Hospital of Ziyang, Ziyang Psychosis Hospital, Ziyang, China.
Background: Olfactory training (OT) has been proposed as a non-pharmacological intervention to improve cognitive functions and depressive symptomatology, but evidence remains fragmented.
Methods: In this study, we conducted a systematic review and meta-analysis of randomised controlled trials (RCTs) comparing OT versus control in middle-aged and elderly adults. Four databases (PubMed, Cochrane Library, Web of Science, Embase) were systematically searched from database inception through June 2025.
Environ Res
September 2025
Thrust of Sustainable Energy and Environment, Function Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 510000, China. Electronic address:
China's aluminum-products industry, a large-scale consumer of industrial paints, is a potentially significant source of full-volatility organic compounds (F-VOCs). However, the emission characteristics of F-VOCs, including VOCs, intermediate-, semi-, and low-volatility organic compounds (I/S/LVOCs), and their role in ozone formation potentials (OFP), and secondary organic aerosol formation potentials (SOAP) remain unclear. In this study, we collected in-field samples from three industrial paints (solvent-based, water-based and powder paints) at spraying and drying processes, and treatment devices to analyze the emission characteristics of F-VOCs, OFP, SOAP.
View Article and Find Full Text PDFJ Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Dissolved oxygen (DO) is a key water quality indicator reflecting river health. Modeling and understanding the spatiotemporal dynamics of DO and its influencing factors are crucial for effective river management. Machine learning (ML) models have gained popularity in water quality prediction; however, their accuracy strongly depends on the predictor variables.
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