Jove
Visualize
Contact Us

Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.2K
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...
2.2K

You might also read

Related Articles

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

Sort by
Same author

Granulocyte colony-stimulating factor acts through calcium-permeable AMPA receptors to potentiate cocaine reward.

bioRxiv : the preprint server for biology·2026
Same author

Basic Science and Pathogenesis.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

MicroRNA-mediated metabolic disruption as an emerging driver of alcohol use disorder.

Nature communications·2025
Same author

Chronic Intermittent Ethanol and Withdrawal Suppress Evoked and Spontaneous GABA Release Onto Distinct Populations of Basolateral Amygdala Principal Neurons.

Addiction biology·2025
Same author

17β-estradiol status alters NMDAR function and antipsychotic-like activity in female rats.

Molecular psychiatry·2025
Same author

17β-estradiol status alters NMDAR function and antipsychotic-like activity in female rats.

bioRxiv : the preprint server for biology·2025
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 Experiment Video

Updated: Sep 4, 2025

DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density
09:10

DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density

Published on: July 22, 2022

3.4K

DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density.

Chelcie F Heaney1, Colin J McArdle2, Kimberly F Raab-Graham3

  • 1Wake Forest Translational Alcohol Research Center, Wake Forest School of Medicine; Physiology and Pharmacology, Wake Forest School of Medicine.

Journal of Visualized Experiments : Jove
|July 22, 2022
PubMed
Summary

DetectSyn is a new, accessible fluorescent method to measure synapse density changes. This technique rapidly assesses neuronal communication changes in disease and drug studies, offering a more representative analysis than traditional methods.

More Related Videos

Real-Time Fluorescent Measurement of Synaptic Functions in Models of Amyotrophic Lateral Sclerosis
08:59

Real-Time Fluorescent Measurement of Synaptic Functions in Models of Amyotrophic Lateral Sclerosis

Published on: July 16, 2021

2.7K
Quantifying Synapses: an Immunocytochemistry-based Assay to Quantify Synapse Number
18:11

Quantifying Synapses: an Immunocytochemistry-based Assay to Quantify Synapse Number

Published on: November 16, 2010

36.0K

Related Experiment Videos

Last Updated: Sep 4, 2025

DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density
09:10

DetectSyn: A Rapid, Unbiased Fluorescent Method to Detect Changes in Synapse Density

Published on: July 22, 2022

3.4K
Real-Time Fluorescent Measurement of Synaptic Functions in Models of Amyotrophic Lateral Sclerosis
08:59

Real-Time Fluorescent Measurement of Synaptic Functions in Models of Amyotrophic Lateral Sclerosis

Published on: July 16, 2021

2.7K
Quantifying Synapses: an Immunocytochemistry-based Assay to Quantify Synapse Number
18:11

Quantifying Synapses: an Immunocytochemistry-based Assay to Quantify Synapse Number

Published on: November 16, 2010

36.0K

Area of Science:

  • Neuroscience
  • Cell Biology
  • Biochemistry

Background:

  • Synaptic density is crucial for neuronal circuit function and is impaired in neurological disorders like Alzheimer's disease and major depressive disorder (MDD).
  • Current methods for assessing synapse numbers, such as fluorescent markers or spine protein detection, often only capture postsynaptic changes.
  • Gold-standard techniques like electron microscopy are time-consuming, costly, and analyze limited neuronal populations, hindering comprehensive study of synaptic changes.

Purpose of the Study:

  • To introduce DetectSyn, a novel, rapid fluorescent technique for quantifying synapse formation and elimination.
  • To provide an accessible alternative to traditional, labor-intensive methods for analyzing synaptic density.
  • To enable more representative and unbiased assessment of synaptic changes in various biological contexts.

Main Methods:

  • DetectSyn employs a rapid proximity ligation assay to identify juxtaposed presynaptic and postsynaptic proteins.
  • The assay utilizes standard fluorescent microscopy, a widely available laboratory technique.
  • The method allows for the analysis of fluorescent puncta, enabling quick and unbiased data interpretation.

Main Results:

  • DetectSyn successfully identifies changes in synapse formation or elimination.
  • The technique is applicable to both in vitro cultured neurons and fixed tissue slices.
  • It allows for the analysis of larger areas compared to electron microscopy, yielding more representative data.

Conclusions:

  • DetectSyn offers a rapid and accessible procedure for measuring relative changes in synapse density.
  • This method is suitable for studying the impact of disease states or drug activity on neuronal connections.
  • DetectSyn overcomes limitations of traditional techniques, providing a more efficient and representative approach to synapse analysis.