Magnetic-Nanowaxberry-Based Simultaneous Detection of Exosome and Exosomal Proteins for the Intelligent Diagnosis of Cancer.
Lihua DingLi-E LiuLeiliang HeClement Yaw EffahRuiying YangDongxun OuyangNingge JianXia LiuYongjun WuLingbo QuPublished in: Analytical chemistry (2021)
Exosome concentration and exosomal proteins are regarded as promising cancer biomarkers. Herein, a waxberry-like magnetic bead (magnetic-nanowaxberry) which has huge surface area and strong affinity was synthesized to couple with aptamer for exosome capture and recovery. Subsequently, we developed a fluorescent assay for the sensitive, accurate, and simultaneous quantification of exosome and cancer-related exosomal proteins [epidermal growth factor receptor (EGFR) and epithelial cell adhesion molecule (EpCAM)] by using triple-colored probes to recognize EGFR and EpCAM or spontaneously anchor to the lipid bilayer. In this design, the interference of soluble proteins can be avoided due to the dual recognition strategy. Moreover, the lipid-based quantification of exosome concentration can improve the accuracy. Besides, the simultaneous detection mode can save samples and simplify the operation steps. Consequently, the assay shows high sensitivity (the limits of detection are down to 0.96 pg/mL for EGFR, 0.19 pg/mL for EpCAM, and 2.4 × 104 particles/μL for exosome), high specificity, and satisfactory accuracy. More importantly, this technique is successfully used to analyze exosomes in plasma to distinguish cancer patients from healthy individuals. To improve the diagnostic efficacy, the deep learning was used to exploit the potential pattern hidden in data obtained by the proposed method. Also, the accuracy for the intelligent diagnosis of cancer can achieve 96.0%. This study provides a new avenue for developing new biosensors for exosome analysis and intelligent disease diagnosis.
Keyphrases
- epidermal growth factor receptor
- cell adhesion
- tyrosine kinase
- papillary thyroid
- small cell lung cancer
- label free
- advanced non small cell lung cancer
- squamous cell
- deep learning
- circulating tumor cells
- real time pcr
- loop mediated isothermal amplification
- high throughput
- stem cells
- mesenchymal stem cells
- living cells
- gold nanoparticles
- lymph node metastasis
- artificial intelligence
- quantum dots
- mass spectrometry
- climate change
- convolutional neural network
- big data
- photodynamic therapy
- human health
- bone marrow
- oxide nanoparticles
- capillary electrophoresis