FiLM-Enhanced Biologically Informed Neural Networks for Multiclass Omics Analysis and Biomarker Discovery [0.03%]
用于多类组学分析和生物标志物发现的增强型生物信息神经网络
Wei Liu,Zhenxiang Zheng,Xujie Wang et al.
Wei Liu et al.
High-throughput proteomics enables detailed molecular phenotyping but poses challenges for predictive modeling and interpretation due to high dimensionality, sparsity, and nonlinear interactions. Biologically informed neural networks (BINNs...
Unlocking Spatiotemporal Dynamics: Precise Dual-Modal Bioimaging of Endogenous c-MYC mRNA in Tumors via a CHA-Activated Ratiometric Nanoplatform [0.03%]
解密时空演变规律：开发激活比值纳米平台精准双模式成像探测肿瘤内源c-MYC信使核糖核酸
Xiangwu Wu,Shengrong Yu,Tao Zhang et al.
Xiangwu Wu et al.
Fluorescence bioimaging technology is widely applied in the biomedical field. However, single-modal fluorescence bioimaging faces limitations such as autofluorescence interference, inability for long-term bioimaging, and insufficient tissue...
Target-Induced Tandem Built-In Electric Fields in the Hollow SnS2/ZIS@ZnS Heterojunction for the Photoelectrochemical Immunoassay [0.03%]
靶标诱导串联内建电场在空心SnS2/ZIS@ZnS异质结光电解免疫测定中的应用
Jiao Qin,Di Wu,Zhichao Yu et al.
Jiao Qin et al.
Both sluggish charge transfer and rapid recombination of photogenerated carriers lead to low photoelectric conversion efficiency, still presenting challenges for the photoelectrochemical (PEC) immunoassay. Herein, an innovative PEC sensing ...
A Six-Membered Concerted Mechanism for CO2 Capture by Amines Studied under Charged Microdroplet Reaction Conditions [0.03%]
电荷微滴反应条件下研究胺类捕集二氧化碳的六元环协同作用机制
Taghi Sahraeian,Dmytro S Kulyk,Ayesha Seth et al.
Taghi Sahraeian et al.
Carbon dioxide (CO2) capture and storage represents an important technological challenge. A mechanistic understanding of interactions involved in the capture process is necessary not only for technological development but also for efficient...
Epitope-Imprinted Polymers: Fabrication Technologies and Emerging Applications [0.03%]
epitope-印迹聚合物：制备技术和新兴应用
Yuzeng Li,Zhen Fan,Zeyu Wei et al.
Yuzeng Li et al.
Amino Acid-Intercalated LDH as a Chiral Nanozyme for Dual-Mode Enantioselective Catalysis and Recognition [0.03%]
手性纳米酶用于对映体选择性催化和识别的氨基酸插层LDH材料
Qianxiu Pan,Shida Ma,Hongmei Sun et al.
Qianxiu Pan et al.
Designing a nanozyme with high enantioselectivity and efficient catalytic activity is of great significance in enantioselective analysis and asymmetric catalysis. In this work, chiral cysteine-inserted iron/cobalt layered double hydroxide n...
Photoresponsive HOF-Based Intelligent Packaging for Real-Time Monitoring Food Freshness [0.03%]
一种基于HOF的光响应智能食品包装用于实时监测食品新鲜度
Zishuo Zhang,Bing Yan
Zishuo Zhang
Real-time monitoring of food freshness is critical for public health, yet conventional packaging lacks the capability for quality feedback. While biogenic amines (BAs) are well-established indicators of food freshness assessment, most of re...
FlashMRM: An Automated Platform for MRM Method Generation and Iterative Optimization Based on High-Resolution Spectra [0.03%]
基于高分辨率光谱的MRM方法生成和迭代优化的自动化平台
Zecang You,Ao Guo,Changzhi Shi et al.
Zecang You et al.
High-throughput targeted analysis in exposomics relies on multiple reaction monitoring (MRM) using liquid chromatography-triple quadrupole mass spectrometry (LC-TQMS), yet its method development remains limited by dependence on chemical sta...
Magnetic Metal-Organic Framework (MOF)-Mediated Precision Capture of Mitochondria Reveals Subcellular Metabolic and Lipid Remodeling of Crabtree Effect in Yeast [0.03%]
磁性金属有机框架（MOF）介导的酵母Crabtree效应亚细胞代谢和脂质重塑的精准捕获
Tinghu Du,Ting Li,Fating Chen et al.
Tinghu Du et al.
Crabtree effect, defined as the propensity of yeast to prioritize fermentation over respiration in high-glucose environments, is a classic metabolic adaptation. However, the limitations of conventional mitochondrial isolation methods have h...
Peptide-to-Protein Data Aggregation Using Fisher's Method Improves Target Identification in Chemical Proteomics [0.03%]
费舍尔方法的肽-蛋白数据聚合可改进化学蛋白质组学中的目标识别
Hezheng Lyu,Hassan Gharibi,Zhaowei Meng et al.
Hezheng Lyu et al.
Protein-level statistical tests in proteomics, aimed at obtaining p-values, are conventionally made on protein abundances aggregated from peptide data. This integral approach overlooks peptide-level heterogeneity and ignores important infor...