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

Computational processing and error reduction strategies for standardized quantitative data in biological networks.

Marcel Schilling1, Thomas Maiwald, Sebastian Bohl

  • 1German Cancer Research Center, Heidelberg, Germany.

The FEBS Journal
|December 13, 2005
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

msBayesImpute as a versatile framework for addressing missing values in biomedical mass spectrometry proteomics data.

Communications chemistry·2026
Same author

Divergent Resilience of Bacterial and Fungal Gut Microbiota After Colorectal Surgery: Insights From a Prospective Longitudinal Cohort Study.

MedComm·2026
Same author

mmContext: an open framework for multimodal contrastive learning of omics and text data.

Bioinformatics (Oxford, England)·2026
Same author

Controlling point defect populations in AlGaN deep UV LEDs.

Nanotechnology·2026
Same author

Combined physical and pharmacological anabolic osteoporosis therapies increase bone response and mechanoregulation in female mice.

Nature communications·2026
Same author

Foxi1 regulates multipotent mucociliary progenitors and ionocyte specification through transcriptional and epigenetic mechanisms.

PLoS biology·2026

This study enhances protein quantification using immunoprecipitation and immunoblotting. Strategies like randomized loading and automated data processing improve precision for cellular process research.

Area of Science:

  • Biochemistry
  • Cell Biology
  • Systems Biology

Background:

  • Quantitative data is crucial for understanding dynamic cellular processes.
  • Standardized conditions are essential for reliable biological measurements.
  • Immunoprecipitation and immunoblotting are widely used but require enhanced precision.

Purpose of the Study:

  • To establish immunoprecipitation and immunoblotting as highly precise methods for protein quantification.
  • To develop strategies for error reduction and automated data processing in blotting techniques.
  • To enable the generation of large quantitative datasets for dynamic pathway modeling.

Main Methods:

  • Implementing randomized gel loading to prevent correlated errors and reduce standard deviations.
  • Utilizing housekeeping proteins as normalizers and purified proteins as calibrators for accurate quantification.

Related Experiment Videos

  • Developing a computational tool for automated normalization, validation, and integration of immunoblot data.

    • Main Results:

    • Demonstrated significant error reduction in protein quantification through standardized methods.
    • Established immunoprecipitation and immunoblotting as precise techniques for measuring protein levels and modifications.
    • Enabled conversion of relative signals to absolute values for experimental comparability and stoichiometry determination.

    Conclusions:

    • The developed strategies and tools significantly enhance the precision of protein quantification.
    • Accurate quantitative data facilitates systems biology approaches, including dynamic pathway modeling.
    • Improved quantification methods aid in identifying systems properties and predicting intervention targets.