Results 201 to 210 of about 189,272 (301)

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Metabolomic Cerebrospinal Fluid Biomarkers for the Diagnosis of Atypical Parkinsonian Syndromes. [PDF]

Int J Mol Sci
Ye L, Wegner F, Smandzich NJ, Rudtke O, Efe GD, Höllerhage M, Schneidereit IV, Greten S, Schuchardt S, Klietz M.   +9 more
europepmc   +1 more source

WTAP‐Mediated m6A Modification Targets the LRP1‐Lipid Metabolism Axis to Regulate Joint Cartilage Regeneration

Advanced Science, EarlyView.
WTAP drives cartilage regeneration by activating an LRP1‐dependent lipid metabolic program in macrophages, enhancing IL‐10 and TGF‐β secretion to promote chondrogenic differentiation. Leveraging this mechanism, virtual screening identifies LRP1‐targeting compounds that effectively stimulate cartilage repair, highlighting a druggable epigenetic ...
Chenyan Huang, Chenyu Deng, Zhengrong Gao, Chen Chen, Huimin Zheng, Yue Yang, Yan Wei   +6 more
wiley   +1 more source

Correction: Differentiation mechanisms of rhizome clonal propagation strategies in <i>Leymus chinensis</i> based on physiological and metabolomic analyses. [PDF]

Front Plant Sci
Zhang Y, Zhao S, Hou X.
europepmc   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Multi-omics Analysis Reveals the Correlation of Gut Microbiota and Metabolites With Thalidomide Treatment for Chemotherapy-Induced Nausea and Vomiting in Small Cell Lung Cancer. [PDF]

Biotechnol J
Sun QG, Zang D, Xin Y, Cui J, Han X, Chen J.   +5 more
europepmc   +1 more source

Rewiring NADH Metabolism Through NQO1‐Mediated Redox Cycling for Targeted Follicular Lymphoma Therapy

Advanced Science, EarlyView.
ABSTRACT Follicular lymphoma (FL) remains an incurable B‐cell malignancy with high relapse rates, and conventional therapies are often limited by significant toxicity, highlighting the need for novel treatments. We identified that FL exhibits markedly low expression of NAD(P)H: quinone oxidoreductase 1 (NQO1), a key enzyme required for activating ...
Jinxing Zhang, Ziqi Wang, Ye Weng, Yulin Fu, Yuelong Jiang, Beilin Zhuang, Wenzi Zeng, Xiangchun Zhang, Bing Xu, Jie Zha, Hongjun Zhuang   +10 more
wiley   +1 more source

COVID-19 in hemodialysis patients: New insights into metabolomic profile dynamics from 60 days pre- to 60 days post-diagnosis. [PDF]

PLoS One
Dias GF, Fan C, Han M, Wang X, Thwin O, Fuentes L, Wang X, Zhang H, Guo W, Kotanko P, Grobe N, Wang Y.   +11 more
europepmc   +1 more source

Metabolism‐Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing

Advanced Science, EarlyView.
Metabolic differences emerging after antibiotic exposure provide rapid phenotypic signals of susceptibility and resistance. This review summarizes metabolic biomarkers for rapid phenotypic AST, associated with nutrient uptake, respiratory activity, metabolic reprogramming, and enzymatic function. ABSTRACT The accelerating global crisis of antimicrobial
Sha Yu, Bayinqiaoge, Xi Lu, Xin Wang, Rongfeng Wang, Yi Li, Shi‐Yang Tang, Chengchen Zhang   +7 more
wiley   +1 more source

A longitudinal comparative analysis of serum metabolomic signatures in children with SARS-CoV-2 infection and MIS-C. [PDF]

Commun Med (Lond)
Lo Vecchio A, Discepolo V, Pierri L, Catzola A, Lombardi M, Colucci A, Poeta M, Bruzzese E, Troisi J, Guarino A.   +9 more
europepmc   +1 more source