Results 131 to 140 of about 35,955 (232)

GlycanGT: a pretrained graph transformer framework for glycan graph representation and generative learning. [PDF]

Bioinformatics
Kitani A, Zhang B, Himori K, Matsui Y.
europepmc   +1 more source

Cuproptosis and Mitophagy Mediated by the THUMPD1/IGF2R‐Dependent Suppression of AKT and Activation of AMPK Signaling Suppress Lung Adenocarcinoma Progression

Advanced Science, EarlyView.
THUMPD1 drives a tumor‐suppressive signaling cascade in lung adenocarcinoma by promoting IGF2R expression. IGF2R associates with PPP2R1A to suppress AKT and activate AMPK, leading to SLC31A1 upregulation and copper accumulation. Elevated copper disrupts mitochondrial metabolism and induces excessive mitophagy, thereby restraining tumor growth and ...
Kai Wu, Bo Qin, Zhuoyu Gu, Weizheng Ding, Xiaoming Chen, Kaishang Zhang, Yujin Qiao, Shuang Yuan, Song Zhao, Xiangnan Li, Peng Zhang   +10 more
wiley   +1 more source

Distinguishing Ile/Leu Variant Ligands in the Immunopeptidome Using Hybrid EAD + CID Fragmentation (ExCID). [PDF]

Anal Chem
Dorvash M, Potriquet J, Ryumin P, Ayala R, Le N, Aranha R, Illing PT, Croft NP, Ramarathinam SH, Purcell AW.   +9 more
europepmc   +1 more source

A Circuit of Mechanically Regulated Transcription Factors Balances Regenerative and Fibrotic Memory of Mesenchymal Stromal Cells

Advanced Science, EarlyView.
Producing MSCs on rigid culture substrates induces a scar‐making phenotype, jeapordizing therapeutic success. ‘Tissue‐soft’ surfaces prevent MSC fibrogenesis and preserve regenerative traits. An epigenetic network, driven by HOXA11 and SALL1, maintains ‘soft memory’ by keeping chromatin open in relaxed MSCs, promoting anti‐fibrotic programs.
Fereshteh Sadat Younesi, Andrew E. Miller, Li Diao, Xinying Guo, Natalie Andonian, Elham Karimizadeh, Thomas H. Barker, Boris Hinz   +7 more
wiley   +1 more source

Machine Learning-Driven Simulations of the SARS-CoV-2 Fitness Landscape from Deep Mutational Scanning Experiments. [PDF]

J Chem Inf Model
Durumeric AEP, McCarty S, Smith J, Köhler J, Elez K, Raich L, Suriana PA, Sztain T.   +7 more
europepmc   +1 more source

RBM10 Deficiency Promotes Anti‐PD‐1 Resistance in LUAD via STING Alternative Splicing‐Driven CCL7 Signaling and Macrophage Polarization

Advanced Science, EarlyView.
RBM10 deficiency promotes anti‐PD‐1 resistance in lung adenocarcinoma by altering STING alternative splicing, which enhances CCL7 secretion and CCR2‐dependent M2 macrophage polarization. A positive feedback loop via mitochondrial transfer sustains this immunosuppression.
Weitong Gao, Ruqiong Wang, Bo An, Lishuang Qi, Zihan Jing, Xingmei Ren, Yang Zhou, Mingjun Xu, Jiaojiao Li, Jie Liu, Liying Wang, Gang Xu, Rou Li, Dexin Jia, Yan Yu   +14 more
wiley   +1 more source

A hypergraph neural network for prioritizing Alzheimer's disease risk genes. [PDF]

Front Genet
Ma M, Deng C, Liu Y, Cao Q, Liu F, Zhang Y.   +5 more
europepmc   +1 more source

A Chirality‐Converted Bacteriolytic Dodecapeptide Regulates Vibrio‐Induced Polymicrobial Infection and Ameliorates Invasion‐Associated Gut Microbiota Disequilibrium

Advanced Science, EarlyView.
Multidrug‐resistant Vibrio infections are rising rapidly and threaten coastal populations worldwide. This study introduces D‐zp37, a chirality‐engineered antimicrobial peptide with exceptional potency against resistant Vibrio species. D‐zp37 kills planktonic cells, blocks mixed‐species biofilms, disrupts essential bacterial stress responses, and shows ...
Ping Zeng, Qipeng Cheng, Xiaoxu Zhang, Honglan Wang, Jinghan Zhang, Xinyi Ding, Pengfei Zhang, Lanhua Yi, Kwok‐Yin Wong, Kin‐Fai Chan, Sheng Chen, Sharon Shui Yee Leung   +11 more
wiley   +1 more source

Single-cell data integration across weakly linked modalities. [PDF]

PLoS Comput Biol
Zhou Z, Zhang Y, Dai Z.
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source