Evaluating Experimental Bias in Phosphoproteomics
Author Information
Author(s): Jos Boekhorst, Paul J. Boersema, Bastiaan B. J. Tops, Bas van Breukelen, Albert J. R. Heck, Berend Snel
Primary Institution: Utrecht University, The Netherlands
Hypothesis
How do different experimental workflows impact the analysis of phosphoproteomes?
Conclusion
The study shows that using the same experimental workflow significantly improves the overlap in comparative phosphoproteomics.
Supporting Evidence
- The overlap between the tyrosine phosphoproteome of C. elegans and HeLa cells was found to be about 4%.
- Using the same experimental workflow increased the overlap between datasets significantly.
- The study highlights the importance of addressing experimental biases in phosphoproteomics.
Takeaway
This study looks at how different ways of measuring proteins can change the results we see, and it helps us understand how to compare these results better.
Methodology
The study analyzed phosphoproteomes using high-throughput mass spectrometry and compared datasets generated from different experimental techniques.
Potential Biases
Different enrichment strategies can lead to significant biases in the observed phosphoproteome.
Limitations
The study is limited by the incompleteness of current phosphoproteomics datasets and the biases introduced by different experimental workflows.
Statistical Information
P-Value
p<1e-06
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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