Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancer Cell Migration through Invadopodia01:35

Cancer Cell Migration through Invadopodia

2.4K
Invadosome is a broad category of cell surface structures with proteolytic activity that  degrades the extracellular matrix (ECM). Invadosomes are present in normal cell types, including macrophages, endothelial cells, and neurons, as well as tumor cells. Although the macrophage podosomes and tumor cell invadopodia are classified as invadosomes, they have different structures, molecular pathways, and functions. Podosomes are short structures that last for a few minutes. However,...
2.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Moderate-temperature DNA cleavage activity of TtAgo activated by dCTP/TthSSB for one-step isothermal microRNAs detection.

Nature communications·2026
Same author

A Pocketed Immunoblotting Disc for Field-Deployable Profiling of Multiantibody Spectrum.

ACS nano·2026
Same author

High-fidelity molecular decoding through tile-guided in situ self-assembly.

Science advances·2026
Same author

Flexible Dual-Apt Scaffolds Reveal gPD-L1-sEVs in Breast Cancer.

Analytical chemistry·2026
Same author

APE1-Triggered Inhalable Microsphere (ATIM) for In Situ Non-Small Cell Lung Cancer Theranostics.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

PEG-Modified Selenium Nanoparticles Dramatically Increases Antibody Binding Sites for Ultrasensitive Point-of-Care Detection of NT-proBNP.

Analytical chemistry·2026
Same journal

Machine Learning-Assisted Label-Free SERS Decoding of Mitochondrial Molecular Dynamics in Ovarian Granulosa Cells during Aging.

Analytical chemistry·2026
Same journal

Revealing the Regulatory Interplay of NHE1 mRNA and Na<sup>+</sup> in Cancer Cells Using a DNA Nanosensor.

Analytical chemistry·2026
Same journal

Towards Cellular Resolution of Tryptic Peptides in Tissue Sections by MALDI MS Imaging: A Focus on Enzyme Application and Reproducibility.

Analytical chemistry·2026
Same journal

Bioinspired Bilayer Hydrogel Colorimetric Sensor Array for Low-Temperature Food Freshness Analysis.

Analytical chemistry·2026
Same journal

Quartz Crystal Microbalance-Based Point-of-Care Testing Systems: Principles, Device Design, and Applications.

Analytical chemistry·2026
Same journal

Heterojunction Gate-Empowered OPECT Aptasensing: A Valid Protocol for Realizing High Current Gain at Low Electron Donor Dependency.

Analytical chemistry·2026
See all related articles

Related Experiment Video

Updated: Sep 1, 2025

Extraction of Extracellular Vesicles from Whole Tissue
09:03

Extraction of Extracellular Vesicles from Whole Tissue

Published on: February 7, 2019

15.2K

Cancer-Derived Small Extracellular Vesicles PICKER.

Xiaohui Chen1,2, Yun Deng1,2, Ruyan Niu1,2

  • 1Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China.

Analytical Chemistry
|August 18, 2022
PubMed
Summary
This summary is machine-generated.

A new PICKER method accurately detects cancer-derived small extracellular vesicles (csEVs) in complex samples. The novel particle ratio index (PRcsEV/tsEV) shows potential for breast cancer staging.

More Related Videos

An Enrichment Method for Small Extracellular Vesicles Derived from Liver Cancer Tissue
10:33

An Enrichment Method for Small Extracellular Vesicles Derived from Liver Cancer Tissue

Published on: February 3, 2023

1.4K
Isolation of Low Endotoxin Content Extracellular Vesicles Derived from Cancer Cell Lines
06:28

Isolation of Low Endotoxin Content Extracellular Vesicles Derived from Cancer Cell Lines

Published on: February 17, 2023

1.2K

Related Experiment Videos

Last Updated: Sep 1, 2025

Extraction of Extracellular Vesicles from Whole Tissue
09:03

Extraction of Extracellular Vesicles from Whole Tissue

Published on: February 7, 2019

15.2K
An Enrichment Method for Small Extracellular Vesicles Derived from Liver Cancer Tissue
10:33

An Enrichment Method for Small Extracellular Vesicles Derived from Liver Cancer Tissue

Published on: February 3, 2023

1.4K
Isolation of Low Endotoxin Content Extracellular Vesicles Derived from Cancer Cell Lines
06:28

Isolation of Low Endotoxin Content Extracellular Vesicles Derived from Cancer Cell Lines

Published on: February 17, 2023

1.2K

Area of Science:

  • Biomedical Engineering
  • Molecular Diagnostics
  • Cancer Research

Background:

  • Cancer-derived small extracellular vesicles (csEVs) are crucial in cancer development but difficult to detect in clinical samples.
  • Accurate quantification of csEVs is essential for cancer diagnosis and monitoring.

Purpose of the Study:

  • To develop a reliable method for detecting and quantifying low-abundance csEVs in complex biological samples.
  • To establish a novel index for assessing the relative abundance of csEVs and its correlation with cancer progression.

Main Methods:

  • Constructed a Programmable Isothermal Cascade Keen Enzyme-free Reporter (PICKER) integrating dual-aptamer recognition (EpCAM, CD63) and catalytic hairpin assembly (CHA) amplification.
  • Developed a particle ratio index (PRcsEV/tsEV) based on fluorescence ratios to normalize csEV detection against total sEVs (tsEVs).
  • Validated the PICKER system's sensitivity, specificity, and clinical applicability using simulated and patient-derived samples.

Main Results:

  • Achieved a detection limit of 420 particles/μL for csEVs.
  • Demonstrated a 1/10,000 discrimination capability, distinguishing 1.0 × 10^3 csEVs from 1.0 × 10^7 tsEVs per microliter.
  • Showed that the PRcsEV/tsEV value positively correlated with breast cancer stages in patient plasma samples.

Conclusions:

  • The PICKER strategy enables accurate discrimination and quantification of csEVs in complex mixtures.
  • The PRcsEV/tsEV index serves as a potential biomarker for breast cancer staging, aiding clinical diagnosis.
  • This approach facilitates advancements in cancer diagnostics and precision therapeutics.