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CRISPR technology provides unprecedented precision for molecular imaging and target detection at the cellular level. However, interested researchers inevitably encounter challenges, including weak labeling signals, low delivery efficiency, and off-target effects when establishing application frameworks. Therefore, discussing signal labeling strategies and delivery systems is crucial to further improving the performance of CRISPR-based live cell biosensing. In this review, we first focus on signal labeling strategies for CRISPR-based cellular imaging, including fluorescent protein fusion, fluorescent protein recruitment, RNA modification and hybridization, and irrelevant signal reporters. Depending on the effector proteins and application scenarios, selecting the appropriate signal labeling method can help improve imaging sensitivity and signal intensity. Second, we summarize materials that can be used for CRISPR intracellular delivery, such as nanoparticles, nanosheets, and other nanomaterials. Some nanomaterials have been shown to further enhance the activity of effector proteins, in addition to facilitating the cellular entry of active components. Furthermore, we discuss the challenges and future directions of CRISPR imaging technologies. By integrating multidisciplinary innovations, the CRISPR-based live cell biosensor holds promise as a next-generation visualization tool for life science research and precision medicine.
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http://dx.doi.org/10.1021/acssensors.5c01973 | DOI Listing |
IEEE Trans Cybern
September 2025
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
September 2025
Sentence-level semantics plays a key role in language understanding. There exist subtle relations and dependencies among sentence-level samples, which is to be exploited. For example, in relational triple extraction, existing models overemphasize extraction modules, ignoring the sentence-level semantics and relation information, which causes (1) the semantics fed to extraction modules is relation-unaware; (2) each sample is trained individually without considering inter-sample dependency.
View Article and Find Full Text PDFACS Sens
September 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Alpha-2-macroglobulin (A2M) is a critical biomarker implicated in inflammation, immune regulation, coagulation, and various pathological conditions such as liver fibrosis, neurodegenerative diseases, and cancers. However, its precise quantification remains challenging due to complex conformational dynamics, subtle abundance fluctuations, and interference from plasma proteins. Here, we present a label-free dynamic single-molecule sensing (LFDSMS) strategy for the sensitive and specific detection of A2M.
View Article and Find Full Text PDFAndrology
September 2025
Department of Urology, The Second Affiliated Hospital of Shanxi Medical University, Taiyuan, China.
Background: Drug-induced hypogonadism is an underrecognized but significant adverse effect of various medications, contributing to male sexual dysfunction and infertility. Despite its clinical significance, comprehensive studies systematically identifying high-risk drugs remain limited.
Objectives: This study aimed to investigate the potential drugs associated with hypogonadism from FDA Adverse Event Reporting System.
NMR Biomed
October 2025
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
The human kidneys play a pivotal role in regulating blood pressure, water, and salt homeostasis, but assessment of renal function typically requires invasive methods. Deuterium metabolic imaging (DMI) is a novel, noninvasive technique for mapping tissue-specific uptake and metabolism of deuterium-labeled tracers. This study evaluates the feasibility of renal DMI at 7-Tesla (7T) to track deuterium-labeled tracers with high spatial and temporal resolution, aiming to establish a foundation for potential clinical applications in the noninvasive investigation of renal physiology and pathophysiology.
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