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

You might also read

Related Articles

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

Sort by
Same author

Development and validation of interpretable machine learning models to predict 30-day mortality in patients with intracerebral hemorrhage.

Scientific reports·2026
Same author

Identification of a lncRNA prognostic signature reveals that SNAI3-AS1 cooperates with erastin to reshape macrophage polarization in glioma.

Medical oncology (Northwood, London, England)·2026
Same author

Solar-powered microbial synergy in wastewater treatment: Enhanced hydrogen production and nitrogen removal through defined co-culture systems with bio-photosensitizers.

Bioresource technology·2026
Same author

Clinicopathological Features and Postoperative Complication Management of a Postauricular Granular Cell Tumor: A Case Report.

Clinical case reports·2026
Same author

Deterministic radial displacement: modular, reconfigurable, and reusable.

Lab on a chip·2026
Same author

Endoscopic-Assisted evacuation vs. burr-hole drainage for chronic subdural hematoma: a retrospective comparative study.

Frontiers in surgery·2026

Related Experiment Video

Updated: Jul 13, 2025

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
10:08

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions

Published on: February 24, 2021

6.0K

Glioma Single-Cell Biomechanical Analysis by Cyclic Conical Constricted Microfluidics.

Xin Geng1, Zi-Ang Zhou2, Yang Mi1

  • 1Department of Neurosurgery, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China.

Analytical Chemistry
|October 16, 2023
PubMed
Summary

A novel cyclic conical constricted (CCC) microfluidic device effectively differentiates glioma cells from normal cells by analyzing biomechanical properties. This technology aids in grading brain tumors, offering a faster, more efficient alternative to traditional pathological methods.

More Related Videos

Author Spotlight: Patient-Informed 3D Model for Studying Glioblastoma Invasion via Interstitial Fluid Flow
04:30

Author Spotlight: Patient-Informed 3D Model for Studying Glioblastoma Invasion via Interstitial Fluid Flow

Published on: October 18, 2024

885
Real-Time Monitoring of Human Glioma Cell Migration on Dorsal Root Ganglion Axon-Oligodendrocyte Co-Cultures
06:51

Real-Time Monitoring of Human Glioma Cell Migration on Dorsal Root Ganglion Axon-Oligodendrocyte Co-Cultures

Published on: December 13, 2019

6.3K

Related Experiment Videos

Last Updated: Jul 13, 2025

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
10:08

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions

Published on: February 24, 2021

6.0K
Author Spotlight: Patient-Informed 3D Model for Studying Glioblastoma Invasion via Interstitial Fluid Flow
04:30

Author Spotlight: Patient-Informed 3D Model for Studying Glioblastoma Invasion via Interstitial Fluid Flow

Published on: October 18, 2024

885
Real-Time Monitoring of Human Glioma Cell Migration on Dorsal Root Ganglion Axon-Oligodendrocyte Co-Cultures
06:51

Real-Time Monitoring of Human Glioma Cell Migration on Dorsal Root Ganglion Axon-Oligodendrocyte Co-Cultures

Published on: December 13, 2019

6.3K

Area of Science:

  • Biomedical Engineering
  • Oncology
  • Cell Biology

Background:

  • Glioma grading is crucial for treatment planning but current pathological methods are time-consuming and costly.
  • Existing microfluidic devices struggle with heterogeneous glioma cells, leading to low yields.
  • There is a need for advanced techniques to accurately assess glioma cell characteristics.

Purpose of the Study:

  • To introduce an innovative cyclic conical constricted (CCC) microfluidic device for improved glioma cell differentiation.
  • To compare the efficacy of CCC microfluidics against traditional uniform-width-constriction channels for glioma analysis.
  • To establish a method for grading single glioma cells based on their biomechanical properties.

Main Methods:

  • Development and application of a cyclic conical constricted (CCC) microfluidic device.
  • Utilizing human-derived glioma cell lines (U-87, U-251) and normal glial cells (HA-1800) for proof of concept.
  • Testing patient glioma samples (WHO grades II, III, IV) using CCC channels.
  • Employing Elastic Net (ENet) and Lasso analysis for parameter selection and grade differentiation.

Main Results:

  • The CCC microfluidic device successfully obtained biomechanical characteristics of various glial cell lines (12-25 μm).
  • CCC channels effectively differentiated single glioma cells based on their biomechanical parameters.
  • The combination of CCC channels and ENet analysis accurately differentiated glioma grades (WHO II, III, IV).

Conclusions:

  • The CCC microfluidic device offers a promising approach for precise glioma cell analysis and grading.
  • This technology provides a more efficient and potentially less expensive alternative to conventional pathological diagnostics.
  • The CCC device has potential applications for various brain tumors at the single-cell level.