Results 161 to 170 of about 3,092 (219)
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source
Aberrant Splicing Signatures Underpin Oligodendrocyte Damage in ALS and Neuron Loss in FTD
Integrating bulk and single‐nucleus RNA‐seq from ALS and FTD patients, we revealed distinct cellular dysfunctions, with severe oligodendrocyte damage in ALS and pronounced neuron loss in FTD. We identified cell‐type‐specific aberrant splicing events as potential biomarkers with robust classification performance, some of which produce de novo peptides ...
Chen Du +6 more
wiley +1 more source
A comprehensive technology platform enables high‐fidelity, volumetric MALDI imaging of 3D cell cultures by integrating custom embedding molds, a semi‐automated computational framework for 3D reconstruction, voxel‐instead of pixel‐based biomarker discovery, and immersive mixed reality data exploration.
Stefania Alexandra Iakab +16 more
wiley +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
In this study, a highly robust N‐glycoproteomics (HRN) platform with a newly developed match‐between‐run scheme is used for biomarker discovery. This study proposes a protein‐centric strategy to prioritize proteins susceptible to aberrant glycosylation.
Lei Liu +15 more
wiley +1 more source
Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou +14 more
wiley +1 more source
Multiomics integration analysis reveals the “cystic fluid–tumor cell” metabolic coupling that mediates active choline/ethanolamine uptake of tumor cells from cystic fluid and PC/PE synthesis pathways reprogramming that mediating autophagy pathway activation within ACP. ABSTRACT Adamantinomatous craniopharyngioma (ACP), a benign yet highly recurrent and
Dongting Chen +9 more
wiley +1 more source
Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang +12 more
wiley +1 more source
Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang +7 more
wiley +1 more source
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source

