Results 171 to 180 of about 19,057 (244)
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Acute NIPBL depletion reveals in vivo dynamics of loop extrusion and its role in transcription activation. [PDF]
Popay TM +6 more
europepmc +1 more source
A minimally invasive optical window enables stable, long‐term imaging of peripheral nerves in vivo at single‐axon resolution. Dynamic processes of degeneration, regeneration, and cellular remodeling are visualized across multiple time scales within the same nerve region, providing a unique platform to study a variety of anatomical and molecular events ...
Igor D. Luzhansky +15 more
wiley +1 more source
Schematic illustration of a biomimetic SKEV@AAV platform targeting p21‐high senescent Kupffer cells (sKCs) in hepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT). p21‐high sKCs accumulate in the PVTT microenvironment and establish an immunosuppressive, SASP‐rich environment that facilitates tumor cell proliferation and immune evasion.
Na Ta +10 more
wiley +1 more source
CR8L10 is self‐assembled with catalase (CAT) to form CR8L10@CAT nanocomplexes, which can anchor to mucosal surfaces via thiol‐disulfide exchange with mucin, thereby enhancing their mucosal retention. The efficient reactive oxygen species (ROS) scavenging at inflamed sites would then result in successful treatment in both the intravesical IC/BPS model ...
Xinzhu Li +13 more
wiley +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
You shall not pass! Unveiling the barriers for cohesin-mediated loop extrusion. [PDF]
Meyer-Nava S, Rivera-Mulia JC.
europepmc +1 more source
Competition between transcription and loop extrusion modulates promoter and enhancer dynamics
Sexton T +17 more
europepmc +2 more sources
Liquid condensates: a new barrier to loop extrusion? [PDF]
Selivanovskiy AV +4 more
europepmc +1 more source
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source

