Results 211 to 220 of about 437,099 (249)

Embedded CRISPRi Enhances Gene‐Silencing Efficiency in Drosophila

open access: yesAdvanced Science, EarlyView.
Current CRISPR interference (CRISPRi) technology in Drosophila has limited efficiency. This study introduces the emCRISPRi platform, which significantly enhances transcriptional silencing efficacy by embedding inhibitory domains within the dCas9 architecture.
Pengchong Fu   +7 more
wiley   +1 more source

An Open‐Source Pipeline for Calcium Imaging and All‐Optical Physiology in Human Stem Cell‐Derived Neurons

open access: yesAdvanced Science, EarlyView.
This work introduces an open‐source all‐optical platform for functional phenotyping of human stem cell‐derived neurons. The system integrates optogenetics, calcium imaging, automated acquisition, and analysis to resolve single‐cell and network activity, enabling longitudinal measurements, disease modeling, and pharmacological screening in preclinical ...
Wardiya Afshar‐Saber   +12 more
wiley   +1 more source

A Tac1‐Expressing Brainstem Pathway Underlies the Pathogenesis of Trigeminal Neuralgia

open access: yesAdvanced Science, EarlyView.
A critical TG‐Sp5CTac1‐PBNTac1 pathway drives trigeminal neuropathic pain (TNP). Tac1‐expressing parabrachial nucleus (PBNTac1) neurons exhibit heightened responses to innocuous stimuli in TNP, and chemogenetic inhibition of these neurons effectively prevents TNP development.
Liting Sun   +11 more
wiley   +1 more source

A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules. [PDF]

open access: yesJ Chem Theory Comput
Adams C   +6 more
europepmc   +1 more source

Unveil Fundamental Graph Properties for Neural Architecture Search

open access: yesAdvanced Science, EarlyView.
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang   +4 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

open access: yesAdvanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan   +24 more
wiley   +1 more source

Home - About - Disclaimer - Privacy