Targeted In-Depth Quantification of Signaling Using Label-Free Mass Spectrometry.

Protein phosphorylation encodes information on the activity of kinase-driven signaling pathways that regulate cell biology. This chapter discusses an approach, named TIQUAS (targeted in-depth quantification of signaling), to quantify cell signaling comprehensively and without bias. The workflow-based on mass spectrometry (MS) and computational science-consists of targeting the analysis of phosphopeptides previously identified by shotgun liquid chromatography tandem MS (LC-MS/MS) across the samples that are being compared. TIQUAS therefore takes advantage of concepts derived from both targeted (data-independent) and data-dependent acquisition methods; phosphorylation sites are quantified in all experimental samples regardless of whether or not these phosphopeptides were identified by MS/MS in all runs. As a result, datasets are obtained containing quantitative information on several thousand phosphorylation sites in as many samples and replicates as required in the experimental design, and these rich datasets are devoid of a significant number of missing data points. This chapter discussed the biochemical, analytical, and computational procedures required to apply the approach and for obtaining a biological interpretation of the data in the context of our understanding of cell signaling regulation and kinase-substrate relationships.

Oxidative stress downstream of mTORC1 but not AKT causes a proliferative defect in cancer cells resistant to PI3K inhibition.

Compounds targeting phosphatidylinositol-3-kinase/mammalian target of rapamycin (PI3K/mTOR) signaling are being investigated in multiple clinical settings, but drug resistance may reduce their benefit. Compound rechallenge after drug holidays can overcome such resistance, yet little is known about the impact of drug holidays on cell biochemistry. We found that PI3K inhibitor (PI3Ki)-resistant cells cultured in the absence of PI3Ki developed a proliferative defect, increased oxygen consumption and accumulated reactive oxygen species (ROS), leading to lactate production through hypoxia-inducible factor-1α. This metabolic imbalance was reversed by mammalian target of rapamycin complex 1 (mTORC1) inhibitors. Interestingly, neither AKT nor c-MYC was involved in mediating the metabolic phenotype, despite the latter contributing to resistant cells' proliferation. These data suggest that an AKT-independent PI3K/mTORC1 axis operates in these cells. The excessive ROS hampered cell division, and the metabolic phenotype made resistant cells more sensitive to hydrogen peroxide and nutrient starvation. Thus, the proliferative defect of PI3Ki-resistant cells during drug holidays is caused by defective metabolic adaptation to chronic PI3K/mTOR pathway inhibition. This metabolic imbalance may open the therapeutic window for challenge with metabolic drugs during drug holidays.

Regulation of class IA PI3Ks: is there a role for monomeric PI3K subunits?

Class IA PI3Ks (phosphoinositide 3-kinases) consist of a p110 catalytic subunit bound to one of five regulatory subunits, known as p85s. Under unstimulated conditions, p85 stabilizes the labile p110 protein, while inhibiting its catalytic activity. Recruitment of the p85-p110 complex to receptors and adaptor proteins via the p85 SH2 (Src homology 2) domains alleviates this inhibition, leading to PI3K activation and production of PIP(3) (phosphatidylinositol 3,4,5-trisphosphate). Four independent p85 KO (knockout) mouse lines have been generated. Remarkably, PI3K signalling in insulin-sensitive tissues of these mice is increased. The existence of p110-free p85 in insulin-responsive cells has been invoked to explain this observation. Such a monomeric p85 would compete with heterodimeric p85-p110 for pTyr (phosphotyrosine) recruitment, and thus repress PI3K activity. Reduction in the pool of p110-free p85 in p85 KO mice was thought to allow recruitment of functional heterodimeric p85-p110, leading to increased PI3K activity. However, recent results indicate that monomeric p85, like p110, is unstable in cells. Moreover, overexpressed free p85 does not necessarily compete with heterodimeric p85-p110 for receptor binding. Using a variety of approaches, we have observed a 1:1 ratio between the p85 and p110 subunits in murine cell lines and primary tissues. Alternative models to explain the increase in PI3K signalling in insulin-responsive cells of p85 KO mice, based on possible effects of p85 deletion on phosphatases acting on PIP(3), are discussed.