You are here: Home / Publications / Linding Lab, REWIRE, HUB [2019-present] / Probability-based detection of phosphoproteomic uncertainty reveals rare signaling events driven by oncogenic kinase gene fusion

Probability-based detection of phosphoproteomic uncertainty reveals rare signaling events driven by oncogenic kinase gene fusion

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Robin X, Völlmy F, Ferkinghoff-Borg J, Howard C, Altenburg T, Engel M, Simpson CD, Saginc G, Koplev S, Klipp E, Longden J, Linding R.

 

 

We describe a novel Bayesian method for estimating protein concentration and phosphorylation site occupancy ratios from mass spectrometry experiments. Our variance model assigns standard deviations to all quantitative ratios, even when only a single peptide is observed, increasing the number of quantifiable observations in a sample compared to conventional methods. We further demonstrate the application of this method using a dataset investigating the impact of the PRKAR1A-RET gene fusion in immortalized thyroid cells.

 

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[BioRxiv]

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