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

You might also read

Related Articles

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

Sort by
Same author

Proton Transfer Charge Reduction Enables Isobaric Labeling-Based Proteoform Quantification of Overlapping Signals in Top-Down Mass Spectrometry.

Journal of the American Society for Mass Spectrometry·2026
Same author

ADAM10-Mediated Proteolytic Remodelling of Signalling and Adhesion Proteins on Brain Cell-Derived Small Extracellular Vesicles.

Journal of extracellular biology·2026
Same author

Clinical outcome of biomarker-guided therapies in adult neuro-oncology patients: An update from the Tübingen molecular tumor board cohort.

Neuro-oncology advances·2026
Same author

CoMPaseD: advanced planning of proteomic experiments aiming to identify small proteins.

microLife·2026
Same author

An ancient lysozyme in placozoans participates in acidic extracellular digestion.

Communications biology·2026
Same author

Perspectives in computational mass spectrometry: recent developments and key challenges.

Bioinformatics advances·2025
Same journal

Biodegradable Self-Powered Electrotherapy Patch for Integrated Smart Wound Management.

Analytical chemistry·2026
Same journal

Metabolite Fraction Libraries for Quantitative NMR Metabolomics.

Analytical chemistry·2026
Same journal

Self-Contained Lateral-Flow Microfluidic Bead-Based Assay for Rapid Quantification of Early-Stage Kidney Biomarkers.

Analytical chemistry·2026
Same journal

Overcoming the Debye Shielding Effect with Concave-Convex Structures for Sensitivity-Enhanced Thin-Film Transistors.

Analytical chemistry·2026
Same journal

Mode-Phase-Difference Photothermal Spectroscopy Assisted by a Bent Biconically Tapered Microfiber for Gas Sensing.

Analytical chemistry·2026
Same journal

Negative-Pressure-Actuated Microfluidics: A Dual-Mode Point-of-Care Sensor for Allergen-Specific IgE in Interstitial Fluid.

Analytical chemistry·2026
See all related articles

Related Experiment Video

Updated: Jun 10, 2025

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry
10:05

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry

Published on: October 24, 2018

9.4K

FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics.

Jihyung Kim1,2, Kyowon Jeong1,2, Philipp T Kaulich3

  • 1Applied Bioinformatics, Department for Computer Science, University of Tübingen, 72076 Tübingen, Germany.

Analytical Chemistry
|October 18, 2024
PubMed
Summary
This summary is machine-generated.

Accurate quantification of proteoforms using top-down proteomics (TDP) is improved with FLASHQuant. This new method resolves coeluting signals, boosting quantification accuracy and reproducibility in rapid LC-MS runs.

More Related Videos

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot
10:12

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

Published on: October 28, 2021

3.6K
High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis
09:33

High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis

Published on: October 15, 2019

7.2K

Related Experiment Videos

Last Updated: Jun 10, 2025

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry
10:05

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry

Published on: October 24, 2018

9.4K
Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot
10:12

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

Published on: October 28, 2021

3.6K
High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis
09:33

High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis

Published on: October 15, 2019

7.2K

Area of Science:

  • Proteomics
  • Biochemistry
  • Analytical Chemistry

Background:

  • Accurate proteoform quantification is vital for understanding biological states.
  • Top-down proteomics (TDP) using liquid chromatography-mass spectrometry (LC-MS) is a key method.
  • Label-free quantification (LFQ) is preferred for its cost-effectiveness.

Purpose of the Study:

  • To develop a method for accurate quantification of coeluting proteoforms in TDP.
  • To improve the accuracy and reproducibility of MS1-level LFQ in TDP.
  • To provide an open-source software solution for proteoform analysis.

Main Methods:

  • Introduction of FLASHQuant software for MS1-level LFQ analysis in TDP.
  • Utilizing automatic signal resolution for coeluting proteoforms.
  • Employing the ConsensusFeatureGroupDetector algorithm for multi-run alignment.

Main Results:

  • FLASHQuant accurately and reproducibly quantifies coeluting proteoforms in TDP.
  • Resolving overlapping signals significantly enhances quantification accuracy.
  • The method achieves high accuracy in short runtimes (minutes per LC-MS run).

Conclusions:

  • FLASHQuant enhances the accuracy of LFQ in TDP by resolving coeluting proteoforms.
  • The software provides a rapid and reliable solution for proteoform quantification.
  • FLASHQuant is available as open-source software, promoting wider adoption.