Results 211 to 220 of about 2,463,782 (306)

Conditionally Significant eQTL and TWAS Analyses Identify MsRD26 as a Major Candidate Positive Regulator of Salt Tolerance in Medicago sativa L

open access: yesAdvanced Science, EarlyView.
Salt stress significantly impacts plant growth. Through population transcriptome, eQTL and TWAS analyses, we identified several candidate genes potentially associated with salt stress response. Functional assays suggested that some of these genes may contribute to salt tolerance.
Lin Chen   +12 more
wiley   +1 more source

Gut Microbiota‐Isoallolithocholic Acid Crosstalk Promotes Calcium Oxalate Kidney Stone Formation via PARP1‐Mediated Parthanatos

open access: yesAdvanced Science, EarlyView.
ABSTRACT Bile acids have been implicated in calcium oxalate (CaOx) nephrolithiasis. Here, we employ multi‐omics approaches to identify isoallolithocholic acid (isoalloLCA) as the key bile acid elevated in the feces, serum, kidney, and urine of CaOx rats, confirmed by spatial metabolomics.
Zijian Zhou   +9 more
wiley   +1 more source

Supramolecular Degraders: An Emerging Paradigm in Targeted Protein Degradation

open access: yesAdvanced Science, EarlyView.
Dynamic supramolecular assembly reshapes targeted protein degradation by coordinating modular degrader construction, delivery, functional integration, and intracellular assembly or activation across proteasomal, endosomal–lysosomal, and autophagy–lysosomal pathways.
Kongjun Liu   +8 more
wiley   +1 more source

Phase Separation, Material State, and Condensate Fate in Mammalian Autophagy

open access: yesAdvanced Science, EarlyView.
ABSTRACT Biomolecular phase separation has emerged as a key organizing principle in macroautophagy (hereafter autophagy). In mammalian cells, phase‐separated condensates not only serve as substrates for selective degradation, but also act as dynamic platforms for cargo recognition, signaling integration, and autophagosome assembly.
Yuanqiang Lin   +8 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

open access: yesAdvanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko   +8 more
wiley   +1 more source

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