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

Instrument-Software Synergy in Proteomics: Systematic Evaluation across Mass Spectrometry Platforms, Search Engines, and Rescoring Methods.

Journal of proteome research·2026
Same author

Community-driven advances in computational mass spectrometry: The perspective of EuBIC-MS members.

Journal of proteomics·2026
Same author

Hierarchy of MS-Based Evidence.

Journal of proteome research·2026
Same author

bio.tools: an expanded web service for research software in the life sciences.

Nucleic acids research·2026
Same author

Open and sustainable AI: challenges, opportunities and the road ahead in the life sciences.

Nature methods·2026
Same author

Tackling vaccine hyporesponsiveness through global collaboration, diverse population studies, and data integration.

The Lancet. Microbe·2025

Related Experiment Video

Updated: Jul 18, 2026

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

Retention time prediction and protein identification.

Magnus Palmblad1

  • 1The BioCentre, University of Reading, UK.

Methods in Molecular Biology (Clifton, N.J.)
|December 23, 2006
PubMed
Summary

This study introduces retention time prediction methods for improved protein identification using mass spectrometry and chromatography. These techniques enhance the analysis of complex proteomes, including post-translationally modified peptides.

Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Bioinformatics

Background:

  • Protein identification commonly relies on mass spectrometry after enzymatic digestion.
  • Chromatographic and electrophoretic separations provide crucial physicochemical data for protein analysis.
  • Genomic data allows prediction of protein properties like molecular weight and hydrophobicity.

Purpose of the Study:

  • To review methods for protein identification using retention time prediction from chromatographic data.
  • To explore the application of these methods in organisms with varying genome sizes.
  • To present new data on retention time prediction for post-translationally modified peptides.

Main Methods:

  • Utilizing liquid chromatography and electrophoresis for protein and peptide separation.

More Related Videos

A Protein Suspension-Trapping Sample Preparation for Tear Proteomics by Liquid Chromatography-Tandem Mass Spectrometry
08:20

A Protein Suspension-Trapping Sample Preparation for Tear Proteomics by Liquid Chromatography-Tandem Mass Spectrometry

Published on: December 1, 2023

A Mass Spectrometry-Based Proteomics Approach for Global and High-Confidence Protein R-Methylation Analysis
09:40

A Mass Spectrometry-Based Proteomics Approach for Global and High-Confidence Protein R-Methylation Analysis

Published on: April 28, 2022

Related Experiment Videos

Last Updated: Jul 18, 2026

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

A Protein Suspension-Trapping Sample Preparation for Tear Proteomics by Liquid Chromatography-Tandem Mass Spectrometry
08:20

A Protein Suspension-Trapping Sample Preparation for Tear Proteomics by Liquid Chromatography-Tandem Mass Spectrometry

Published on: December 1, 2023

A Mass Spectrometry-Based Proteomics Approach for Global and High-Confidence Protein R-Methylation Analysis
09:40

A Mass Spectrometry-Based Proteomics Approach for Global and High-Confidence Protein R-Methylation Analysis

Published on: April 28, 2022

  • Employing mass spectrometry to generate peptide mass fingerprints.
  • Developing and applying retention time prediction algorithms based on amino acid sequences.

    • Main Results:

    • Retention time prediction offers a valuable approach for protein identification.
    • These methods are effective across organisms with both small and large genomes.
    • Successful prediction of retention times for post-translationally modified peptides was achieved.

    Conclusions:

    • Retention time prediction significantly aids protein identification by integrating separation data.
    • The presented methods offer a powerful tool for proteomic analysis, especially for complex samples.
    • Future applications include enhanced identification of modified proteins in diverse biological systems.