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Updated: Jul 19, 2025

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Robust Comparison of Protein Levels Across Tissues and Throughout Development Using Standardized Quantitative Western Blotting
Published on: April 9, 2019
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Improving rigor and reproducibility in western blot experiments with the blotRig analysis software
Cleopa Omondi1, Austin Chou1, Kenneth A Fond1
1Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA USA.
Biorxiv : the Preprint Server for Biology
|August 14, 2023
Summary
Reproducible western blot experiments require rigorous quantitative analysis. We present best practices and the blotRig tool to improve western blot data analysis and experimental reproducibility.
Area of Science:
- Biochemistry
- Molecular Biology
- Biotechnology
Background:
- Western blot is a key technique for protein quantification in biological samples.
- Variability in current western blot data analysis challenges experimental reproducibility.
- Existing statistical methods may lead to irreproducible research findings.
Approach:
- This study outlines best practices for western blot experimental design and data analysis.
- Demonstrates how different analytical methods yield varying results.
- Introduces the blotRig tool to enhance western blot rigor and reproducibility.
Key Points:
- The blotRig tool offers functions for counterbalancing experimental design by lane position.
- Includes batch management across gels for consistent analysis.
- Provides advanced analytics with covariates and random effects for robust data interpretation.
Conclusions:
- Implementing rigorous quantitative approaches is crucial for reliable western blot results.
- The blotRig tool facilitates standardized and reproducible western blot experiments.
- Adopting these best practices will improve the validity of inferences drawn from western blot data.
Keywords:
Analytical ChemistryAntibodiesBiostatisticsComputational BiologyComputational ChemistryWestern Blot
