打字
癌症
病态的
膜蛋白
计算生物学
膜
生物
计算机科学
医学
病理
遗传学
作者
Qika Jia,Zhaofu Ma,Yujia Wang,Mingjin Zhang,Zou Guijun,Bin Lan,Songyan Li,Zhaobai Lao,Wenbin Shen,Jing Lou,Yanan Jiao,Xiaohui Du
出处
期刊:Research
[American Association for the Advancement of Science]
日期:2025-01-01
卷期号:8: 0625-0625
被引量:11
标识
DOI:10.34133/research.0625
摘要
Exosomes (Exos) are emerging as noninvasive biomarkers for diagnosis and progression monitoring of gastric cancer (GC). However, the heterogeneity discrimination and ultrasensitive quantification of Exos presents a considerable analytical challenge, thereby impeding severely their clinical application. Herein, we propose an integrated terahertz metasensing platform for the discrimination of Exos in distinct subtypes of GC in a single step-through the simultaneous evaluation of the category and richness level of Exos membrane proteins. Characterized by dual-sided independent sensing capabilities with enhanced sensitivity (169 and 325 GHz per refractive index unit, respectively), the metasensor functionalized with antibodies simultaneously reflects the content of 2 membrane proteins in the terahertz spectral response. Our approach concurrently completes accurate differentiation and precise quantification of GC-subtype Exos by integrating dual-sided sensing information in merely a single assay. The dual-sided sensing design enhances the reliability of detection results. Moreover, combined with the signal amplification of gold nanoparticles, the platform experimentally demonstrates a superior dynamic response to Exos concentrations spanning from 1 × 104 to 1 × 108 particles/ml, with the limit of detection being 1 × 104 particles/ml. This work provides new insights into multisensing metasurface design and paves the way for precise and personalized cancer treatment through the specific sensing of Exos.
科研通智能强力驱动
Strongly Powered by AbleSci AI