Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles
Extracellular vesicles (EVs) are heterogeneous lipid containers with a complex molecular
cargo comprising several populations with unique roles in biological processes. These …
cargo comprising several populations with unique roles in biological processes. These …
Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering
Abstract Machine learning is shaping up our lives in many ways. In analytical sciences,
machine learning provides an unprecedented opportunity to extract information from …
machine learning provides an unprecedented opportunity to extract information from …
Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers
Early cancer detection has significant clinical value, but there remains no single method that
can comprehensively identify multiple types of early-stage cancer. Here, we report the …
can comprehensively identify multiple types of early-stage cancer. Here, we report the …
Metal–organic framework-functionalized paper-based electrochemical biosensor for ultrasensitive exosome assay
X Liu, X Gao, L Yang, Y Zhao, F Li - Analytical chemistry, 2021 - ACS Publications
The exosome has emerged as a promising noninvasive biomarker for the early diagnosis of
cancer. Therefore, it is highly desirable to develop simple, inexpensive, and user-friendly …
cancer. Therefore, it is highly desirable to develop simple, inexpensive, and user-friendly …
Early-stage lung cancer diagnosis by deep learning-based spectroscopic analysis of circulating exosomes
Lung cancer has a high mortality rate, but an early diagnosis can contribute to a favorable
prognosis. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids …
prognosis. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids …
Present and future of surface-enhanced Raman scattering
The discovery of the enhancement of Raman scattering by molecules adsorbed on
nanostructured metal surfaces is a landmark in the history of spectroscopic and analytical …
nanostructured metal surfaces is a landmark in the history of spectroscopic and analytical …
Precise Capture and Direct Quantification of Tumor Exosomes via a Highly Efficient Dual-Aptamer Recognition-Assisted Ratiometric Immobilization-Free …
L Yang, X Yin, B An, F Li - Analytical Chemistry, 2020 - ACS Publications
Tumor exosomes are promising biomarkers for early cancer diagnosis in a noninvasive
manner. However, precise capture and direct analysis of tumor-specific exosomes in …
manner. However, precise capture and direct analysis of tumor-specific exosomes in …
A sensitive aptasensor based on a hemin/G‐Quadruplex‐assisted signal amplification strategy for electrochemical detection of gastric cancer exosomes
R Huang, L He, Y Xia, H Xu, C Liu, H Xie, S Wang… - Small, 2019 - Wiley Online Library
Emerging evidence indicates that exosomes derived from gastric cancer cells enhance
tumor migration and invasion through the modulation of the tumor microenvironment …
tumor migration and invasion through the modulation of the tumor microenvironment …
[HTML][HTML] Exosome detection via surface-enhanced Raman spectroscopy for cancer diagnosis
J Li, Y Li, P Li, Y Zhang, L Du, Y Wang, C Zhang… - Acta biomaterialia, 2022 - Elsevier
As nanoscale extracellular vesicles, exosomes are secreted by various cell types, and they
are widely distributed in multiple biological fluids. Studies have shown that tumor-derived …
are widely distributed in multiple biological fluids. Studies have shown that tumor-derived …
Single particle automated Raman trapping analysis of breast cancer cell-derived extracellular vesicles as cancer biomarkers
J Penders, A Nagelkerke, EM Cunnane, SV Pedersen… - ACS …, 2021 - ACS Publications
Extracellular vesicles (EVs) secreted by cancer cells provide an important insight into cancer
biology and could be leveraged to enhance diagnostics and disease monitoring. This paper …
biology and could be leveraged to enhance diagnostics and disease monitoring. This paper …