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CRISPR-Cas9 genome engineering is a powerful technology for correcting genetic diseases. However, the targeting range of Cas9 proteins is limited by their requirement for a protospacer adjacent motif (PAM), and in vivo delivery is challenging due to their large size. Here, we use phage-assisted continuous directed evolution to broaden the PAM compatibility of Campylobacter jejuni Cas9 (CjCas9), the smallest Cas9 ortholog characterized to date. The identified variant, termed evoCjCas9, primarily recognizes NAH and NHA PAM sequences, which occur tenfold more frequently in the genome than the canonical NVRYAC PAM site. Moreover, evoCjCas9 exhibits higher nuclease activity than wild-type CjCas9 on canonical PAMs, with editing rates comparable to commonly used PAM-relaxed SpCas9 variants. Combined with deaminases or reverse transcriptases, evoCjCas9 enables robust base and prime editing, with the small size of evoCjCas9 base editors allowing for tissue-specific installation of A-to-G or C-to-T transition mutations from single adeno-associated virus vector systems.
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http://dx.doi.org/10.1038/s41589-023-01427-x | DOI Listing |
BMC Med Inform Decis Mak
September 2025
Emergency Department, Helios Spital, Überlingen, Germany.
Background: The increasing amount of data routinely collected on ICUs poses a challenge for clinicians which is aggravated with data-heavy therapies like Continuous Kidney Replacement Therapy (CKRT). We developed the CKRT Supporting Software Prototype (CKRT-SSP), a clinical decision support system for use before, during and after CKRT. The aim of this user experience (UX) study was to prospectively evaluate CKRT-SSP in terms of usability, user experience, and workload in a simulated ICU setting.
View Article and Find Full Text PDFLight Sci Appl
September 2025
National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Nanjing University, 210023, Nanjing, China.
Planar optical elements incorporating space-varying Pancharatnam-Berry phase have revolutionized the manipulation of light fields by enabling continuous control over amplitude, phase, and polarization. While previous research focusing on linear functionalities using apolar liquid crystals (LCs) has attracted much attention, extending this concept to the nonlinear regime offers unprecedented opportunities for advanced optical processing. Here, we demonstrate the reconfigurable nonlinear Pancharatnam-Berry LC diffractive optics in photopatterned ion-doped ferroelectric nematics.
View Article and Find Full Text PDFAlcohol Clin Exp Res (Hoboken)
September 2025
Research Unit of Psychiatry, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Background: Alcohol use disorder (AUD) among older adults, particularly with respect to gender differences in treatment outcomes, remains underexplored. Our objective was to explore gender differences in AUD treatment outcomes among older adults, focusing on continuous measures (e.g.
View Article and Find Full Text PDFJ Safety Res
September 2025
Institute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Introduction: The continuous progression of autonomous driving technology is propelling the automotive industry into an unprecedented era, with the intelligence and driving safety capabilities of autonomous vehicles serving as crucial benchmarks for assessing industry development. However, crashes involving autonomous vehicles have raised concerns among both government authorities and the general public regarding this technology. Consequently, conducting a comprehensive analysis of crash causes and key causal factors holds immense significance for technological progress, personnel safety, and shaping the future direction of the automotive industry.
View Article and Find Full Text PDFHeart
September 2025
Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Computational models, both knowledge-driven and data-driven, have the potential to reshape cardiovascular medicine by offering innovative tools that integrate patient-specific information with physiological understanding or statistical inference to generate insights beyond conventional diagnostics. This review traces how computational modelling has evolved from theoretical research tools into clinical decision support systems that enable personalised cardiovascular care.
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