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

2.5K
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...
2.5K

You might also read

Related Articles

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

Sort by
Same author

Age-based approach to characterize the dynamics of cellular processes.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Systematic discovery of enzyme promiscuity in Escherichia coli using in vitro metabolomics.

Communications biology·2026
Same author

Vsb1, Ypq1, and Ypq2 control dynamic cationic amino acid storage in the yeast vacuole.

Life science alliance·2026
Same author

The environmental stress response regulates biophysics of the cytoplasm and survival in quiescence.

The Journal of cell biology·2026
Same author

Metabolic thermodynamics: pertinent reference state and energy potentials.

The FEBS journal·2026
Same author

Limited proteolysis-coupled mass spectrometry captures proteome-wide protein structural alterations and biomolecular condensation in living cells.

Molecular systems biology·2026

Related Experiment Video

Updated: Nov 25, 2025

Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry
08:52

Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry

Published on: April 6, 2022

3.8K

Maturation Kinetics of a Multiprotein Complex Revealed by Metabolic Labeling.

Evgeny Onischenko1, Elad Noor2, Jonas S Fischer3

  • 1Department of Biological Sciences, University of Bergen, Bergen 5020, Norway; Institute of Biochemistry, Department of Biology, ETH Zurich, Zurich CH-8093, Switzerland.

Cell
|December 17, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method to study how protein complexes assemble. They found that the nuclear pore complex (NPC) in yeast forms hierarchically, with subcomplexes assembling first and then maturing over an hour.

Keywords:
DIA mass spectrometryINST-MFARITEassembly orderdata independent acquisitionmacromolecular complex biogenesismaturation kineticsmetabolic labelingnuclear pore complexpulse-SILAC AP-MS

More Related Videos

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry
08:04

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

Published on: March 13, 2014

12.5K
Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures
11:44

Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures

Published on: September 28, 2013

14.5K

Related Experiment Videos

Last Updated: Nov 25, 2025

Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry
08:52

Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry

Published on: April 6, 2022

3.8K
A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry
08:04

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

Published on: March 13, 2014

12.5K
Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures
11:44

Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures

Published on: September 28, 2013

14.5K

Area of Science:

  • Cell Biology
  • Biochemistry
  • Structural Biology

Background:

  • Protein complexes are essential for cellular functions.
  • Characterizing the assembly dynamics of large protein complexes like the nuclear pore complex (NPC) remains challenging.
  • Understanding protein complex assembly is key to deciphering cellular processes.

Purpose of the Study:

  • To develop a high-throughput strategy for analyzing the native assembly kinetics of protein complexes.
  • To characterize the co-assembly dynamics of nucleoporins (NUPs) within the yeast NPC.
  • To reveal principles of NPC biogenesis and protein complex assembly.

Main Methods:

  • Developed a high-throughput strategy to analyze native assembly kinetics.
  • Applied the method to study the co-assembly of 320 nucleoporin pairs in yeast.
  • Investigated the timescales and hierarchical assembly of the nuclear pore complex.

Main Results:

  • Identified varying co-assembly rates among nucleoporins, from rapid exchange to lengthy maturation.
  • Revealed a hierarchical NPC biogenesis model: subcomplex formation (minutes) followed by center-to-periphery assembly (∼1 hour).
  • Discovered that Mlp1 (a nucleoporin) joins late, preferentially associating with mature NPCs.

Conclusions:

  • The developed high-throughput strategy enables analysis of protein complex assembly dynamics.
  • NPC assembly follows a hierarchical, time-dependent process.
  • The findings provide insights into the dynamic assembly of large cellular machinery and can be applied to other multiprotein assemblies.