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

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.1K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.1K
Labeling DNA Probes03:31

Labeling DNA Probes

8.2K
DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...
8.2K

You might also read

Related Articles

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

Sort by
Same author

Associations between negative life events and depressive symptoms in Chinese adolescents: the mediating role of self-esteem and coping tendency.

Frontiers in psychology·2026
Same author

Injectable pH-responsive gelatin methacryloyl hydrogel for cuproptosis-synergized sunitinib therapy and immune reprogramming in clear cell renal cell carcinoma.

Acta biomaterialia·2026
Same author

The relationship between parental psychological control and adolescent social anxiety: A mediation analysis of self-identity and psychological resilience.

Acta psychologica·2026
Same author

UTR-DynaPro: a CNN-transformer multimodal language model for decoding 5'UTR regulatory mechanisms.

Scientific reports·2026
Same author

VMD-LSTM based water level prediction of aquifer in mining working face.

Scientific reports·2026
Same author

Deformation characteristics of weakly cemented overburden in Western mining areas in China.

Scientific reports·2026

Related Experiment Video

Updated: Jul 4, 2025

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

11.4K

Classification of Molecular Binding Traces for Dynamic Single-Molecule Sensing.

Juntao Chen1, Qiang Zeng2, Yiyang Zhang3

  • 1College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China.

Analytical Chemistry
|February 3, 2024
PubMed
Summary
This summary is machine-generated.

This study enhances biosensor sensitivity by using dynamic single-molecule sensing (DSMS) with multiple kinetic features for accurate biomarker detection. The improved method achieves ultrasensitive detection of microRNAs at the subfemtomolar level.

More Related Videos

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis
08:09

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis

Published on: January 7, 2017

10.6K
Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells
06:48

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Published on: January 5, 2024

3.6K

Related Experiment Videos

Last Updated: Jul 4, 2025

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

11.4K
Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis
08:09

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis

Published on: January 7, 2017

10.6K
Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells
06:48

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Published on: January 5, 2024

3.6K

Area of Science:

  • Biosensing
  • Biomarker Detection
  • Surface Plasmon Resonance Microscopy

Background:

  • Nonspecific binding limits biosensor sensitivity.
  • Dynamic single-molecule sensing (DSMS) offers ultrasensitive detection but requires improved binding trace classification.
  • Current methods struggle with accuracy using single features like bound lifetime.

Purpose of the Study:

  • To enhance the sensitivity and linearity of biosensors using DSMS.
  • To improve the classification of molecular binding traces by incorporating multiple kinetic features.
  • To achieve ultrasensitive detection of microRNAs at the subfemtomolar level.

Main Methods:

  • Developed a DSMS workflow utilizing surface plasmon resonance microscopy.
  • Employed correlation analysis to identify key binding trace features.
  • Applied unsupervised k-clustering for classifying molecular binding traces.

Main Results:

  • Successfully improved sensitivity and linearity in microRNA detection (hsa-miR155-5p, hsa-miR21-5p, hsa-miR362-5p).
  • Achieved a limit of detection at the subfemtomolar level for targeted microRNAs.
  • Demonstrated the efficacy of unsupervised classification using multiple kinetic features.

Conclusions:

  • The novel DSMS workflow significantly enhances biosensor performance.
  • Unsupervised classification of binding traces with multiple kinetic features is crucial for ultrasensitive biomarker detection.
  • This approach paves the way for more accurate and sensitive diagnostic tools.