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Comparison of Quantitative Mass Spectrometry Platforms for Monitoring Kinase ATP Probe Uptake in Lung Cancer
- Hoffman, Melissa A., Fang, Bin, Haura, Eric B., Rix, Uwe, Koomen, John M.
- Journal of proteome research 2018 v.17 no.1 pp. 63-75
- adenosine triphosphate, bioinformatics, chemical species, data collection, detection limit, drugs, enzyme inhibitors, instrumentation, liquid chromatography, lung neoplasms, monitoring, peptides, phosphotransferases (kinases), protein composition, proteins, proteome, proteomics, resistance mechanisms, tandem mass spectrometry, therapeutics
- Recent developments in instrumentation and bioinformatics have led to new quantitative mass spectrometry platforms including LC–MS/MS with data-independent acquisition (DIA) and targeted analysis using parallel reaction monitoring mass spectrometry (LC–PRM), which provide alternatives to well-established methods, such as LC–MS/MS with data-dependent acquisition (DDA) and targeted analysis using multiple reaction monitoring mass spectrometry (LC–MRM). These tools have been used to identify signaling perturbations in lung cancers and other malignancies, supporting the development of effective kinase inhibitors and, more recently, providing insights into therapeutic resistance mechanisms and drug repurposing opportunities. However, detection of kinases in biological matrices can be challenging; therefore, activity-based protein profiling enrichment of ATP-utilizing proteins was selected as a test case for exploring the limits of detection of low-abundance analytes in complex biological samples. To examine the impact of different MS acquisition platforms, quantification of kinase ATP uptake following kinase inhibitor treatment was analyzed by four different methods: LC–MS/MS with DDA and DIA, LC–MRM, and LC–PRM. For discovery data sets, DIA increased the number of identified kinases by 21% and reduced missingness when compared with DDA. In this context, MRM and PRM were most effective at identifying global kinome responses to inhibitor treatment, highlighting the value of a priori target identification and manual evaluation of quantitative proteomics data sets. We compare results for a selected set of desthiobiotinylated peptides from PRM, MRM, and DIA and identify considerations for selecting a quantification method and postprocessing steps that should be used for each data acquisition strategy.