Results 191 to 200 of about 1,715,429 (285)
The Gαi1/3 protein is a crucial connecting protein closely related to the signal transduction process of bone formation‐related cytokines such as BMP2. Gαi1/3 mediates downstream signaling pathways such as Smads and MAPK by binding to adaptor proteins like Gab1, thereby promoting the osteogenic effect of BMSCs.
Huajian Shan +10 more
wiley +1 more source
USP5 Stabilizes TGFBR1 to Drive Vascular Smooth Muscle Cell Senescence and Atherosclerosis
This study reveals that USP5 drives vascular smooth muscle cell senescence and atherosclerosis by stabilizing TGFBR1, suppressing IDH2, and promoting glycolytic reprogramming, identifying the USP5‐TGFBR1‐IDH2 axis as a potential therapeutic target. ABSTRACT Vascular smooth muscle cell (VSMC) senescence contributes importantly to atherosclerotic plaque ...
Xinhai Cui +5 more
wiley +1 more source
FBL directly binds to and stabilizes SIRT1 by blocking its ubiquitin‐proteasome degradation, thereby sustaining nicotinamide metabolism and redox homeostasis to counteract cellular senescence in ESCC. Genetic and pharmacological suppression of FBL sensitizes tumor cells to senolytic therapy.
Xing Jin +9 more
wiley +1 more source
The Gela/decitabine/La2(CO3)3 colloidal (GDLC) hydrogel developed here could reverse the epigenetic silencing of the GSDME gene by the synergistic interaction between DAC and La3+, while concurrently activating caspase‐3, thus facilitating pyroptosis induction under the tumor microenvironment.
Yang Hong +6 more
wiley +1 more source
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao +8 more
wiley +1 more source
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
A Two-Stage Classification Method for Improved Fault Detection in Wind Turbines Based on SCADA Data. [PDF]
Dai J, Rotea M, Kehtarnavaz N.
europepmc +1 more source
Misclassification Errors in Unsupervised Classification Methods. Comparison Based on the Simulation of Targeted Proteomics Data. [PDF]
Andreev VP +3 more
europepmc +1 more source
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang +10 more
wiley +1 more source
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen +5 more
wiley +1 more source

