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Here, we describe a highly efficient, medium-throughput strategy for cloning and screening of putative enhancers using the chick embryo. By incorporating 48 unique nanotags for use in NanoString nCounter® across three different fluorescent reporters and developing a rapid and efficient digestion/ligation type IIs restriction enzyme-based cloning protocol, we develop a multiplexed approach for rapidly identifying enhancer activity. For complete details on the use and execution of this protocol, please see Williams et al. (2019).
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http://dx.doi.org/10.1016/j.xpro.2021.100507 | DOI Listing |
Acc Chem Res
September 2025
Department of Chemistry, FRQNT Centre for Green Chemistry and Catalysis, McGill University, 801 Sherbrooke Street W, Montréal, Québec H3A 0B8, Canada.
ConspectusMolecular photochemistry, by harnessing the excited states of organic molecules, provides a platform fundamentally distinct from thermochemistry for generating reactive open-shell or spin-active species under mild conditions. Among its diverse applications, the resurgence of the Minisci-type reaction, a transformation historically reliant on thermally initiated radical conditions, has been fueled by modern photochemical strategies with improved efficiency and selectivity. Consequently, the photochemical Minisci-type reaction ranks among the most enabling methods for C()-H functionalizations of heteroarenes, which are of particular significance in medicinal chemistry for the rapid diversification of bioactive scaffolds.
View Article and Find Full Text PDFAnal Methods
September 2025
Jilin Province Product Quality Supervision and Inspection Institute, Changchun 130103, China.
A method for determination of ten kinds of sweeteners in soybean products by multi-plug filtration cleanup (-PFC) combined with ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was established. The sample was extracted with acetonitrile (containing 1% formic acid), degreased by using -hexane liquid-liquid extraction and purified by solid phase extraction using an -PFC column (Oasis PRiME HLB). The analytes were separated by using a Waters ACQUITY UPLC® BEH C (2.
View Article and Find Full Text PDFAnal Bioanal Chem
September 2025
Hebei Key Laboratory of Public Health Safety, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, College of Public Health, College of Chemistry and Materials Science, Hebei University, Baoding, 071002, China.
This work presents the development of a highly sensitive, selective, and efficient aptamer-based fluorescent sensor for detecting cortisol in human urine. Carbon quantum dots-nucleic acid aptamer (CQDs-Apt) synthesized with excellent photoluminescent properties and stability, were selected as the fluorescent probe. In the presence of MoS-NSs, CQDs-Apt adsorbed onto the surface of MoS-NSs via electrostatic and π-π interactions, leading to strong and rapid fluorescence quenching due to static quenching mechanism between them.
View Article and Find Full Text PDFIntroduction: Effective triage in the emergency department (ED) is essential for optimizing resource allocation, improving efficiency, and enhancing patient outcomes. Conventional systems rely heavily on clinical judgment and standardized guidelines, which may be insufficient under growing patient volumes and increasingly complex presentations.
Methods: We developed a machine learning triage model, MIGWO-XGBOOST, which incorporates a Multi-strategy Improved Gray Wolf Optimization (MIGWO) algorithm for parameter tuning.
Radiology
September 2025
Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA 02115.
Despite the rapid growth of Food and Drug Administration-cleared artificial intelligence (AI)- and machine learning-enabled medical devices for use in radiology, current tools remain limited in scope, often focusing on narrow tasks and lacking the ability to comprehensively assist radiologists. These narrow AI solutions face limitations in financial sustainability, operational efficiency, and clinical utility, hindering widespread adoption and constraining their long-term value in radiology practice. Recent advances in generative and multimodal AI have expanded the scope of image interpretation, prompting discussions on the development of generalist medical AI.
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