No abstract

A high-resolution map of human phosphorylation networks was constructed by integrating experimentally determined kinase-substrate relationships with other resources, such as in vivo phosphorylation sites.

The current complement of fluorescent proteins (FPs) contains color variants whose emission spectra span most of the visible spectrum, providing researchers with a versatile toolset of fluorescent probes for live cell imaging applications. FP family members generate their chromophores autocatalytically through a series of posttranslational modifications. The fluorescence characteristics of GFP-family members are influenced in important ways by the local microenvironment surrounding the chromophore. In this tutorial review, we first examine the molecular factors that influence the photophysical properties of FP family members and then briefly discuss some of the ways in which these fascinating proteins have been applied to the field of live cell imaging.

http://www.phosphonetworks.org

The PIK3CA gene is frequently mutated in human cancers. Here we carry out a SILAC-based quantitative phosphoproteomic analysis using isogenic knockin cell lines containing ‘driver’ oncogenic mutations of PIK3CA to dissect the signaling mechanisms responsible for oncogenic phenotypes induced by mutant PIK3CA. From 8,075 unique phosphopeptides identified, we observe that aberrant activation of PI3K pathway leads to increased phosphorylation of a surprisingly wide variety of kinases and downstream signaling networks. Here, by integrating phosphoproteomic data with human protein microarray-based AKT1 kinase assays, we discover and validate six novel AKT1 substrates, including cortactin. Through mutagenesis studies, we demonstrate that phosphorylation of cortactin by AKT1 is important for mutant PI3K enhanced cell migration and invasion. Our study describes a quantitative and global approach for identifying mutation-specific signaling events and for discovering novel signaling molecules as readouts of pathway activation or potential therapeutic targets.

Background: Protein succinylation has recently emerged as an important and common post-translation modification (PTM) that occurs on lysine residues. Succinylation is notable both in its size (e.g., at 100 Da, it is one of the larger chemical PTMs) and in its ability to modify the net charge of the modified lysine residue from + 1 to − 1 at physiological pH. The gross local changes that occur in proteins upon succinylation have been shown to correspond with changes in gene activity and to be perturbed by defects in the citric acid cycle. These observations, together with the fact that succinate is generated as a metabolic intermediate during cellular respiration, have led to suggestions that protein succinylation may play a role in the interaction between cellular metabolism and important cellular functions. For instance, succinylation likely represents an important aspect of genomic regulation and repair and may have important consequences in the etiology of a number of disease states. In this study, we developed DeepSuccinylSite, a novel prediction tool that uses deep learning methodology along with embedding to identify succinylation sites in proteins based on their primary structure. Results: Using an independent test set of experimentally identified succinylation sites, our method achieved efficiency scores of 79%, 68.7% and 0.48 for sensitivity, specificity and MCC respectively, with an area under the receiver operator characteristic (ROC) curve of 0.8. In side-by-side comparisons with previously described succinylation predictors, DeepSuccinylSite represents a significant improvement in overall accuracy for prediction of succinylation sites. Conclusion: Together, these results suggest that our method represents a robust and complementary technique for advanced exploration of protein succinylation.

Protein kinases and phosphatases are organized into complex intracellular signaling networks designed to coordinate their activities in both space and time. In order to better understand the molecular mechanisms underlying the regulation of signal transduction networks, it is important to define the spatiotemporal dynamics of both protein kinases and phosphatases within their endogenous environment. Herein, we report the development of a genetically-encoded protein biosensor designed to specifically probe the activity of the Ca2+/calmodulin-dependent protein phosphatase, calcineurin. Our reporter design utilizes a phosphatase activity-dependent molecular switch based on the N-terminal regulatory domain of the nuclear factor of activated T-cells as a specific substrate of calcineurin, sandwiched between cyan fluorescent protein and yellow fluorescent protein. Using this reporter, calcineurin activity can be monitored as dephosphorylation-induced increases in fluorescence resonance energy transfer and can be simultaneously imaged with intracellular calcium dynamics. The successful design of a prototype phosphatase activity sensor lays a foundation for studying targeting and compartmentation of phosphatases.

Many members of the G protein-coupled receptor family, including examples with clear therapeutic potential, remain poorly characterised. This often reflects limited availability of suitable tool ligands with which to interrogate receptor function. In the case of GPR84, currently a target for the treatment of idiopathic pulmonary fibrosis, recent times have seen the description of novel orthosteric and allosteric agonists. Using 2-(hexylthiol)pyrimidine-4,6 diol (2-HTP) and di(5,7-difluoro-1H-indole-3-yl)methane (PSB-16671) as exemplars of each class, in cell lines transfected to express either human or mouse GPR84, both ligands acted as effective on-target activators and with high co-operativity in their interactions. This was also the case in lipopolysaccharide-activated model human and mouse immune cell lines. However in mouse bone-marrow-derived neutrophils, where expression of GPR84 is particularly high, the capacity of PSB-16671 but not of 2-HTP to promote G protein activation was predominantly off-target because it was not blocked by an antagonist of GPR84 and was preserved in neutrophils isolated from GPR84 deficient mice. These results illustrate the challenges of attempting to study and define functions of poorly characterised receptors using ligands that have been developed via medicinal chemistry programmes, but where assessed activity has been limited largely to the initially identified target.