Many RNA architectures were discovered to be involved in a wide range of essential biological processes in all organisms from carrying genetic information to gene expression regulation. The remarkable ability of RNAs to adopt various architectures depending on their environment enables the achievement of their myriads of biological functions. Nuclear Magnetic Resonance (NMR) is a powerful technique to investigate both their structure and dynamics. NMR is also a key tool for studying interactions between RNAs and their numerous partners such as small molecules, ions, proteins, or other nucleic acids.In this chapter, to illustrate the use of NMR for 3D structure determination of small noncoding RNA, we describe detailed methods that we used for the yeast C/D box small nucleolar RNA U14 from sample preparation to 3D structure calculation.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/978-1-0716-1386-3_19 | DOI Listing |
Anal Chim Acta
January 2025
State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 315211, PR China. Electronic address:
Background: Foodborne pathogens, particularly Vibrio parahaemolyticus (VP) found in seafood, pose significant health risks, including abdominal pain, nausea, and even death. Rapid, accurate, and sensitive detection of these pathogens is crucial for food safety and public health. However, existing detection methods often require complex sample pretreatment, which limits their practical application.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, Punjab, 140001, India. Electronic address:
Background: The unregulated use of pesticides by farmers, for crop productivity results in widespread contamination of organophosphates in real environmental samples, which is a growing societal concern about their potential health effects. The conventional approaches for the monitoring these organophosphate-based pesticides which include immunoassays, electrochemical methods, immunosensors, various chromatography techniques, along with some spectroscopic methods, are either costly, sophisticated, or involves the use of different metal complexes. Therefore, there is an urgent need for sensitive, quick, and easy-to-use detection techniques for the screening of widely used organophosphate-based pesticides.
View Article and Find Full Text PDFWiley Interdiscip Rev Nanomed Nanobiotechnol
January 2025
Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China.
Iron-based nanomaterials (IBNMs) have been widely applied in biomedicine applications including magnetic resonance imaging, targeted drug delivery, tumor therapy, and so forth, due to their unique magnetism, excellent biocompatibility, and diverse modalities. Further research on its enormous biomedical potential is still ongoing, and its new features are constantly being tapped and demonstrated. Among them, various types of IBNMs have demonstrated significant cancer therapy capabilities by regulating the tumor microenvironment (TME).
View Article and Find Full Text PDFNeurosci Lett
January 2025
Max Super Speciality Hospital, Saket, New Delhi, India. Electronic address:
Background: Clinical brain MRI scans, including contrast-enhanced (CE-MR) images, represent an underutilized resource for neuroscience research due to technical heterogeneity.
Purpose: To evaluate the reliability of morphometric measurements from CE-MR scans compared to non-contrast MR (NC-MR) scans in normal individuals.
Methods: T1-weighted CE-MR and NC-MR scans from 59 normal participants (aged 21-73 years) were compared using CAT12 and SynthSeg + segmentation tools.
Magn Reson Imaging
January 2025
Background: Huai-he Hospital of Henan University, Kaifeng, China. Electronic address:
Objective: To explore the application value of MRI-based imaging histology and deep learning model in the identification and classification of breast phyllodes tumors.
Methods: Seventy-seven patients diagnosed as breast phyllodes tumors and fibroadenomas by pathological examination were retrospectively analyzed, and traditional radiomics features, subregion radiomics features, and deep learning features were extracted from MRI images, respectively. The features were screened and modeled using variance selection method, statistical test, random forest importance ranking method, Spearman correlation analysis, least absolute shrinkage and selection operator (LASSO).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!