Results 31 to 40 of about 6,138 (148)

NQO1‐Mediated Anoikis Resistance and Immune Evasion Define a High‐Risk Multi‐Omic Subtype for Precision Management of T1 High‐Grade Bladder Cancer

Advanced Science, EarlyView.
Multi‐omic profiling of T1 high‐grade bladder cancer identifies a high‐risk subtype (T1HG1) driven by NQO1, which couples anoikis resistance with immune evasion. NQO1 orchestrates macrophage–T cell crosstalk suppression via CXCL9 modulation. Pharmacological NQO1 inhibition with skullcapflavone II enhances cisplatin efficacy, representing a promising ...
Bin Guo, Chunru Xu, Shufan Fu, Qiang Cheng, Juan Li, Linkuo Shang, Gaojie Li, Yang Yang, Ying Wang, Yanqing Gong, Shengwei Xiong, Jian Fan, Changwei Yuan, Mei Zhang, Yifan Zuo, Elena Papaleo, Yue Shi, Yuan Liang, Xuesong Li, Hongzhao Li, Weimin Ci   +20 more
wiley   +1 more source

Biolipid Film‐Fused Electrochemiluminescence for Multipurpose In Situ Bioassays

Advanced Science, EarlyView.
An ECL‐emissive, membrane‐interactive scaffold was fabricated, and facilely fused with natural and non‐native phospholipids into multifactorial mimicries of cytomembranes and vesicles for in vitro representative membrane‐process probing. Such a biointerface‐based, state‐sensitive ECL paradigm not only pinpointed proximal phenomena, including channeling
Jialiang Chen, Bin Li, Yingying Wang, Fulin Zhu, Wenxuan Yang, Xuanyu Fu, Tiantian Man, Qiuyue Wu, Kewei Ren, Shengyuan Deng   +9 more
wiley   +1 more source

MSDmotif: exploring protein sites and motifs [PDF]

, 2008
Background Protein structures have conserved features – motifs, which have a sufficient influence on the protein function. These motifs can be found in sequence as well as in 3D space.
Adel Golovin, Kim Henrick, AJ Shepherd, H Kaur, BL Sibanda, C Bystroff, DJ Craik, HM Berman, ELL Sonnhammer, SF Altschul, WR Pearson, KB Li, TL Bailey, N Hulo, ID Kuntz, EJ Milner-White, JD Watson, J Lee, S Hayward, EJ Milner-White, JYL Questel, JD Watson, EJ Milner-White, WJ Duddy, S Zhirong, AV Efimov, AV Efimov, A Golovin, SF Altschul, CG Hunter, A Golovin, H Boutselakis, CA Orengo, AG Murzin, RD Finn, D Schomburg, M Clamp, ELL Sonnhammer, CH Wu, T Hubbard, A Prlic, MR Nelson, DI Stuart, DCP Kuhn, ND Rawlings, CT Porter, MJ Hartshorn, TJ Oldfield, H Kawasaki, RD Dowell, A Prilc   +50 more
core   +1 more source

Dual Physiological Barriers Bypassed by a Silk‐Based Supramolecular Protein Delivery Platform for Neuroinflammation Mitigation in Alzheimer's Disease

Advanced Science, EarlyView.
A supramolecular nanocomplex based on phenolic‐modified silk sericin is developed to deliver antioxidant enzymes across the blood–brain barrier and escape lysosomal degradation. This dual‐barrier‐crossing system reduces neuroinflammation and improves cognitive performance in Alzheimer's disease mouse model, offering a promising strategy for protein ...
Doudou Hu, Tiandong Li, Jian He, Yujian Jiang, Yeyuan Wang, Jingchen Sun   +5 more
wiley   +1 more source

Gut bacteria responding to dietary change encode sialidases that exhibit preference for red meat-associated carbohydrates. [PDF]

, 2019
Dietary habits have been associated with alterations of the human gut resident microorganisms contributing to obesity, diabetes and cancer1. In Western diets, red meat is a frequently eaten food2, but long-term consumption has been associated with ...
Alisson-Silva, Frederico, Chang, Geoffrey, Chuzel, Léa, Diaz, Sandra L, Ganatra, Mehul B, Huang, Jianbo, Martino, Cameron, Rees, Steven D, Secrest, Patrick, Siegel, Dionicio, Taron, Christopher H, Varki, Ajit, Zaramela, Livia S, Zengler, Karsten, Zuñiga, Cristal   +14 more
core  

Induction of cytotoxic T-cell response against hepatitis C virus structural antigens using a defective recombinant adenovirus [PDF]

, 1997
A replication-defective recombinant adenovirus (RAd), RAdCMV-CE1, containing core and E1 genes of hepatitis C virus (HCV) was constructed. RAdCMV-CE1 was able to express core and E1 proteins both in mice and human cells.
Borras-Cuesta, F. (Francisco), Bruña-Romero, O. (Oscar), Grace, K. (Ken), Klarke, B. (Berwyn), Lasarte, J.J. (Juan José), Prieto, J. (Jesús), Wilkinson, G. (Gavin)   +6 more
core   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Non-coding RNAs in Transcriptional Regulation [PDF]

, 2015
Transcriptional gene silencing guided by small RNAs is a process conserved from protozoa to mammals. Small RNAs loaded into Argonaute family proteins direct repressive histone modifications or DNA cytosine methylation to homologous regions of the genome.
Aravin, Alexei A., Chen, Yung-Chia Ariel
core   +1 more source

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy

Advanced Intelligent Systems, EarlyView.
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson, Y. Lydia Li, Claire A. Shou, Ben Cardoen, John Lim, Timothy H. Wong, Ismail M. Khater, Ivan Robert Nabi, Ghassan Hamarneh   +8 more
wiley   +1 more source