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 Experiment Videos

Automated reporting from gel-based proteomics experiments using the open source Proteios database application.

Fredrik Levander1, Morten Krogh, Kristofer Wårell

  • 1Protein Technology, Lund University, BMC D13, Lund, Sweden. Fredrik.Levander@elmat.lth.se

Proteomics
|February 14, 2007
PubMed
Summary
This summary is machine-generated.

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

Comprehensive comparison of homologous recombination deficiency predictors in early-stage triple-negative breast cancer.

Breast cancer research : BCR·2026
Same author

Protein signatures of aging in the hemolymph of marbled crayfish: Insights into crustacean immune aging.

Comparative biochemistry and physiology. Part D, Genomics & proteomics·2026
Same author

Homologous recombination deficiency in primary ER-positive and HER2-negative breast cancer.

Communications medicine·2026
Same author

Allergen-specific human IgE isolated through an allergen-agnostic pipeline-understanding immune response and allergen recognition.

Communications biology·2026
Same author

Multiomic profiling of ER-positive HER2-negative breast cancer reveals markers associated with metastatic spread.

Breast cancer research : BCR·2026
Same author

Pharmacological activation of p53 induces dose-dependent changes in endothelial cell fate during angiogenic sprouting.

Cell death & disease·2025
Same journal

Identification of Novel Interacting Proteins of FUZ and GPR161.

Proteomics·2026
Same journal

Light-Induced Proteomic Changes in Pseudomonas aeruginosa Biofilms.

Proteomics·2026
Same journal

Decade-Resolved Proteomic Profiling of Gastric Cancer FFPE Archives: Evaluating Storage-Associated Shifts and Signal Stability Over 50 Years.

Proteomics·2026
Same journal

Proteome-Scale Mining of Metal-Associated Proteins of Monkeypox Virus.

Proteomics·2026
Same journal

Optimized Sample Handling Minimizes Peptide Adsorption to Plastics to Enable High Sensitivity Evosep Based Chemical Proteomics.

Proteomics·2026
Same journal

Toward Predicting Pandemic Potential: A Comparative Analysis of Virus-Host Interactions Between Diverse Influenza A Viruses and the Human Innate Immune System.

Proteomics·2026
See all related articles

This study introduces automated data assembly for gel-based proteomics workflows using Proteios software. It enhances protein identification reporting to meet journal standards and manage false discovery rates effectively.

Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Data assembly in proteomics workflows presents significant challenges, often acting as a bottleneck.
  • Accurate protein identification is crucial, yet complicated by false-positive and false-negative results.
  • Increasing demand exists for detailed reporting of protein identification data in publications.

Purpose of the Study:

  • To automate the assembly of data from gel-based proteomics workflows.
  • To enhance Proteios software for improved protein identification reporting.
  • To address the need for transparent and reliable protein identification data.

Main Methods:

  • Expansion of the open-source Proteios software.
  • Implementation of automated data assembly for proteomics workflows.

Related Experiment Videos

  • Development of customizable protein identification reports with user-defined false positive ratios.

    • Main Results:

    • Proteios software now automates the integration of data from various stages of gel-based proteomics.
    • Generated reports include all necessary information for publication in proteomics journals.
    • Automatic calculation of score cut-offs based on user-specified false positive ratios is now possible.
    • For multi-engine searches, score thresholds correlating to error rates are calculated for overlapping protein identifications.

    Conclusions:

    • The enhanced Proteios software effectively automates proteomics data assembly and reporting.
    • The software facilitates compliance with journal requirements for protein identification data.
    • Proteios provides robust tools for managing and reporting protein identification accuracy, including false discovery rates.