Results 171 to 180 of about 371,710 (261)

Spatial Transcriptomics Reveals a T Cell‐Mediated Microglial Activation Axis of Immune Checkpoint Inhibition‐Related Adverse Events in the Brain

open access: yesAdvanced Science, EarlyView.
Immune checkpoint inhibition (ICI) reshapes the hippocampal neuroimmune niche. Spatial transcriptomic profiling and human brain histological analyses identify neuroinflammation and altered neuronal and glial programs. Notably, T cell depletion prevents ICI‐driven microglial activation, establishing the T cell–microglia crosstalk axis as a driving ...
Devyani Swami   +7 more
wiley   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

open access: yesAdvanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang   +5 more
wiley   +1 more source

Ammonification Process Is Limited by Transformation of Medium Molecular Weight Nitrogenous Organics but Not Hydrolysis of Proteins

open access: yesAdvanced Science, EarlyView.
A multi‐level analytical framework, integrating protein‐level persistence analysis, nontargeted HRMS formula tracking, peptide‐level proteomics, and targeted monomer quantification under varying redox conditions, together with FMO calculations reveal that ammonification is limited by medium molecular weight nitrogenous multimers.
Jing Li   +4 more
wiley   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

open access: yesAdvanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen   +11 more
wiley   +1 more source

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