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
A Classification of Intrinsic Ergodicity for Recognisable Random Substitution Systems. [PDF]
Gohlke P, Mitchell A.
europepmc +1 more source
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
Infants at high and low likelihood for autism show different EEG developmental trajectories in speech tracking and statistical learning. [PDF]
Godel M +4 more
europepmc +1 more source
Supramolecular Degraders: An Emerging Paradigm in Targeted Protein Degradation
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
Dynamics of the stream of thought: insights from an accumulation-to-threshold model. [PDF]
Kérébel A, Sackur J.
europepmc +1 more source
Phase Separation, Material State, and Condensate Fate in Mammalian Autophagy
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
Cognitive Processes of Probabilistic Prediction in Reading: Language Model Surprisal Across Model Sizes, Token Granularity, and Reading Paradigms. [PDF]
Liu S, Mei Y.
europepmc +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
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
An LLM-Based Framework for the Automatic Generation of SysML Models. [PDF]
An B, Lei T, Tian G.
europepmc +1 more source

