Results 261 to 270 of about 103,350 (330)

Production Process Optimization of Recombinant Erwinia carotovoral-Asparaginase II in Escherichia coli Fed-Batch Cultures and Analysis of Antileukemic Potential. [PDF]

open access: yesACS Omega
de Andrade BC   +11 more
europepmc   +1 more source

Hepatocyte Mettl3 Deficiency Drives Primary Sclerosing Cholangitis and Liver Fibrosis via Cholangiocyte‐Macrophage Crosstalk

open access: yesAdvanced Science, EarlyView.
Schematic illustration demonstrating that hepatic Mettl3 depletion significantly elevates the secretion of Mif and Csf1. This elevation facilitates Trem2+ macrophage infiltration and triggers cholangiocyte remodeling through the Spp1‐Cd44 interaction, resulting in spontaneous PSC development in vivo.
Wenting Pan   +19 more
wiley   +1 more source

Unraveling the Morphological and Functional Maturation Mechanisms Underlying Human Neural Development Using iPSCs‐Derived Neuronal Model

open access: yesAdvanced Science, EarlyView.
Using human induced pluripotent stem cells (hiPSCs)‐derived neuronal model, Tian and colleagues reveal that voltage‐gated calcium channels Cav1.2 and Cav1.3, and their mediated calcium ion influx, are essential for early morphogenesis of human neuronal development, while ECEL1 underlies human neuronal functional developmental maturation through CALM3 ...
Yue Tian   +5 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

open access: yesAdvanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park   +7 more
wiley   +1 more source

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