Improving rigor and reproducibility in western blot experiments with the blotRig analysis

Western blot is a popular biomolecular analysis method for measuring the relative quantities of independent proteins in complex biological samples. However, variability in quantitative western blot data analysis poses a challenge in designing reproducible experiments. The lack of rigorous quantitative approaches in current western blot statistical methodology may result in irreproducible inferences. Here we describe best practices for the design and analysis of western blot experiments, with examples and demonstrations of how different analytical approaches can lead to widely varying outcomes. To facilitate best practices, we have developed the blotRig tool for designing and analyzing western blot experiments to improve their rigor and reproducibility. The blotRig application includes functions for counterbalancing experimental design by lane position, batch management across gels, and analytics with covariates and random effects.

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Publication Details

Journal
Scientific Reports
Published
2024-09-17
DOI
https://doi.org/10.1038/s41598-024-70096-0
Citations
5
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.17

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article

Improving rigor and reproducibility in western blot experiments with the blotRig analysis

Jacob A. Davis, Adam R. Ferguson, Cleopa Omondi, Abel Torres‐Espín et al.
5 citations
Scientific Reports
Metabolomics and Mass Spectrometry Studies
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article

Improving rigor and reproducibility in western blot experiments with the blotRig analysis

Jacob A. Davis, Adam R. Ferguson, Cleopa Omondi, Abel Torres‐Espín, Kenneth A. Fond, Austin Chou, Jason H. Gumbel, Kazuhito Morioka, Hannah L. Radabaugh, Jeffrey Sacramento, Emma Iorio, J. Russell Huie, Nadine R. Joseph
article en
5 citations

Abstract

Western blot is a popular biomolecular analysis method for measuring the relative quantities of independent proteins in complex biological samples. However, variability in quantitative western blot data analysis poses a challenge in designing reproducible experiments. The lack of rigorous quantitative approaches in current western blot statistical methodology may result in irreproducible inferences. Here we describe best practices for the design and analysis of western blot experiments, with examples and demonstrations of how different analytical approaches can lead to widely varying outcomes. To facilitate best practices, we have developed the blotRig tool for designing and analyzing western blot experiments to improve their rigor and reproducibility. The blotRig application includes functions for counterbalancing experimental design by lane position, batch management across gels, and analytics with covariates and random effects.

Scientific ReportsVol. 14(1)
San Francisco VA Medical Center (US), University of Waterloo (CA), University of Alberta (CA), University of California, San Francisco (US)
U.S. Department of Veterans Affairs, Craig H. Neilsen Foundation, National Institutes of Health, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 22%
Metabolomics and Mass Spectrometry Studies
1.17
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