Richelle Sopko

Global analysis of protein phosphorylation in yeast

Protein phosphorylation is estimated to affect 30% of the proteome and is a major regulatory mechanism that controls many basic cellular processes. Until recently, our biochemical understanding of protein phosphorylation on a global scale has been extremely limited; only one half of the yeast kinases have known in vivo substrates and the phosphorylating kinase is known for less than 160 phosphoproteins. Here we describe, with the use of proteome chip technology, the in vitro substrates recognized by most yeast protein kinases: we identified over 4,000 phosphorylation events involving 1,325 different proteins. These substrates represent a broad spectrum of different biochemical functions and cellular roles. Distinct sets of substrates were recognized by each protein kinase, including closely related kinases of the protein kinase A family and four cyclin-dependent kinases that vary only in their cyclin subunits. Although many substrates reside in the same cellular compartment or belong to the same functional category as their phosphorylating kinase, many others do not, indicating possible new roles for several kinases. Furthermore, integration of the phosphorylation results with protein–protein interaction and transcription factor binding data revealed novel regulatory modules. Our phosphorylation results have been assembled into a first-generation phosphorylation map for yeast. Because many yeast proteins and pathways are conserved, these results will provide insights into the mechanisms and roles of protein phosphorylation in many eukaryotes.

The Hippo Pathway Regulates Wnt/β-Catenin Signaling

Several developmental pathways contribute to processes that regulate tissue growth and organ size. The Hippo pathway has emerged as one such critical regulator. However, how Hippo signaling is integrated with other pathways to coordinate these processes remains unclear. Here, we show that the Hippo pathway restricts Wnt/beta-Catenin signaling by promoting an interaction between TAZ and DVL in the cytoplasm. TAZ inhibits the CK1delta/epsilon-mediated phosphorylation of DVL, thereby inhibiting Wnt/beta-Catenin signaling. Abrogation of TAZ levels or Hippo signaling enhances Wnt3A-stimulated DVL phosphorylation, nuclear beta-Catenin, and Wnt target gene expression. Mice lacking Taz develop polycystic kidneys with enhanced cytoplasmic and nuclear beta-Catenin. Moreover, in Drosophila, Hippo signaling modulates Wg target gene expression. These results uncover a cytoplasmic function of TAZ in regulating Wnt signaling and highlight the role of the Hippo pathway in coordinating morphogenetic signaling with growth control.

Deciphering Protein Kinase Specificity Through Large-Scale Analysis of Yeast Phosphorylation Site Motifs

A high-throughput peptide array approach reveals insight into kinase substrates and specificity. Exploring Kinase Selectivity Kinases are master regulators of cellular behavior. Because of the large number of kinases and the even larger number of substrates, approaches that permit global analysis are valuable tools for investigating kinase biology. Mok et al. identified the phosphorylation site selectivity for 61 of the 122 kinases in Saccharomyces cerevisiae by screening a miniaturized peptide library. By integrating these data with other data sets and structural information, they revealed information about the relationship between kinase catalytic residues and substrate selectivity. They also identified and experimentally verified substrates for kinases, including one for which limited functional information was previously available, showing the potential for this type of analysis as a launching point for the exploration of the biological functions of kinases. Phosphorylation is a universal mechanism for regulating cell behavior in eukaryotes. Although protein kinases target short linear sequence motifs on their substrates, the rules for kinase substrate recognition are not completely understood. We used a rapid peptide screening approach to determine consensus phosphorylation site motifs targeted by 61 of the 122 kinases in Saccharomyces cerevisiae. By correlating these motifs with kinase primary sequence, we uncovered previously unappreciated rules for determining specificity within the kinase family, including a residue determining P−3 arginine specificity among members of the CMGC [CDK (cyclin-dependent kinase), MAPK (mitogen-activated protein kinase), GSK (glycogen synthase kinase), and CDK-like] group of kinases. Furthermore, computational scanning of the yeast proteome enabled the prediction of thousands of new kinase-substrate relationships. We experimentally verified several candidate substrates of the Prk1 family of kinases in vitro and in vivo and identified a protein substrate of the kinase Vhs1. Together, these results elucidate how kinase catalytic domains recognize their phosphorylation targets and suggest general avenues for the identification of previously unknown kinase substrates across eukaryotes.

Identifying transcription factor functions and targets by phenotypic activation

Mapping transcriptional regulatory networks is difficult because many transcription factors (TFs) are activated only under specific conditions. We describe a generic strategy for identifying genes and pathways induced by individual TFs that does not require knowledge of their normal activation cues. Microarray analysis of 55 yeast TFs that caused a growth phenotype when overexpressed showed that the majority caused increased transcript levels of genes in specific physiological categories, suggesting a mechanism for growth inhibition. Induced genes typically included established targets and genes with consensus promoter motifs, if known, indicating that these data are useful for identifying potential new target genes and binding sites. We identified the sequence 5′-TCACGCAA as a binding sequence for Hms1p, a TF that positively regulates pseudohyphal growth and previously had no known motif. The general strategy outlined here presents a straightforward approach to discovery of TF activities and mapping targets that could be adapted to any organism with transgenic technology.

Phosphorylation of the Tumor Suppressor Fat Is Regulated by Its Ligand Dachsous and the Kinase Discs Overgrown

The Drosophila tumor suppressor gene fat encodes a large cadherin that regulates growth and a form of tissue organization known as planar cell polarity (PCP). Fat regulates growth via the Hippo kinase pathway, which controls expression of genes promoting cell proliferation and inhibiting apoptosis (reviewed in). The Hippo pathway is highly conserved and is implicated in the regulation of mammalian growth and cancer development. Genetic studies suggest that Fat activity is regulated by binding to another large cadherin, Dachsous (Ds). The tumor suppressor discs overgrown (dco)/Casein Kinase I delta/epsilon also regulates Hippo activity and PCP. The biochemical nature of how Fat, Ds, and Dco interact to regulate these pathways is poorly understood. Here we demonstrate that Fat is cleaved to generate 450 kDa and 110 kDa fragments (Fat(450) and Fat(110)). Fat(110) contains the cytoplasmic and transmembrane domain. The cytoplasmic domain of Fat binds Dco and is phosphorylated by Dco at multiple sites. Importantly, we show Fat forms cis-dimers and that Fat phosphorylation is regulated by Dachsous and Dco in vivo. We propose that Ds regulates Dco-dependent phosphorylation of Fat and Fat-associated proteins to control Fat signaling in growth and PCP.

Impaired tRNA Nuclear Export Links DNA Damage and Cell-Cycle Checkpoint

In response to genotoxic stress, cells evoke a plethora of physiological responses collectively aimed at enhancing viability and maintaining the integrity of the genome. Here, we report that unspliced tRNA rapidly accumulates in the nuclei of yeast Saccharomyces cerevisiae after DNA damage. This response requires an intact MEC1- and RAD53-dependent signaling pathway that impedes the nuclear export of intron-containing tRNA via differential relocalization of the karyopherin Los1 to the cytoplasm. The accumulation of unspliced tRNA in the nucleus signals the activation of Gcn4 transcription factor, which, in turn, contributes to cell-cycle arrest in G1 in part by delaying accumulation of the cyclin Cln2. The regulated nucleocytoplasmic tRNA trafficking thus constitutes an integral physiological adaptation to DNA damage. These data further illustrate how signal-mediated crosstalk between distinct functional modules, namely, tRNA nucleocytoplasmic trafficking, protein synthesis, and checkpoint execution, allows for functional coupling of tRNA biogenesis and cell-cycle progression.

Activation of the Cdc42p GTPase by cyclin-dependent protein kinases in budding yeast

Cyclin‐dependent kinases (CDKs) trigger essential cell cycle processes including critical events in G1 phase that culminate in bud emergence, spindle pole body duplication, and DNA replication. Localized activation of the Rho‐type GTPase Cdc42p is crucial for establishment of cell polarity during G1, but CDK targets that link the Cdc42p module with cell growth and cell cycle commitment have remained largely elusive. Here, we identify the GTPase‐activating protein (GAP) Rga2p as an important substrate related to the cell polarity function of G1 CDKs. Overexpression of RGA2 in the absence of functional Pho85p or Cdc28p CDK complexes is toxic, due to an inability to polarize growth. Mutation of CDK consensus sites in Rga2p that are phosphorylated both in vivo and in vitro by Pho85p and Cdc28p CDKs results in a loss of G1 phase‐specific phosphorylation. A failure to phosphorylate Rga2p leads to defects in localization and impaired polarized growth, in a manner dependent on Rga2p GAP function. Taken together, our data suggest that CDK‐dependent phosphorylation restrains Rga2p activity to ensure appropriate activation of Cdc42p during cell polarity establishment. Inhibition of GAPs by CDK phosphorylation may be a general mechanism to promote proper G1‐phase progression.

The Transgenic RNAi Project at Harvard Medical School: Resources and Validation

To facilitate large-scale functional studies in Drosophila, the Drosophila Transgenic RNAi Project (TRiP) at Harvard Medical School (HMS) was established along with several goals: developing efficient vectors for RNAi that work in all tissues, generating a genome-scale collection of RNAi stocks with input from the community, distributing the lines as they are generated through existing stock centers, validating as many lines as possible using RT–qPCR and phenotypic analyses, and developing tools and web resources for identifying RNAi lines and retrieving existing information on their quality. With these goals in mind, here we describe in detail the various tools we developed and the status of the collection, which is currently composed of 11,491 lines and covering 71% of Drosophila genes. Data on the characterization of the lines either by RT–qPCR or phenotype is available on a dedicated website, the RNAi Stock Validation and Phenotypes Project (RSVP, http://www.flyrnai.org/RSVP.html), and stocks are available from three stock centers, the Bloomington Drosophila Stock Center (United States), National Institute of Genetics (Japan), and TsingHua Fly Center (China).

Protein complex-based analysis framework for high-throughput data sets.

An analysis tool maps network dynamics at the protein complex level in multiple species. Complexes Reveal Signaling Dynamics Analysis of high-throughput data sets can provide information about changes in gene expression, protein abundance, and signaling pathway activity. However, current data mining approaches do not identify changes to functional protein complexes within a pathway over time, a critical aspect for network analysis. Vinayagam et al. developed an interactive Web tool called COMPLEAT, which uses raw genome-wide, RNA interference data to map protein complex dynamics during the cellular response to stimuli in humans, flies, and yeast. Using phosphorylated extracellular signal–regulated kinase as a marker for pathway activation, COMPLEAT identified the Brahma complex in the cellular response to insulin, a prediction that was validated in a Drosophila cell line. Analysis of high-throughput data increasingly relies on pathway annotation and functional information derived from Gene Ontology. This approach has limitations, in particular for the analysis of network dynamics over time or under different experimental conditions, in which modules within a network rather than complete pathways might respond and change. We report an analysis framework based on protein complexes, which are at the core of network reorganization. We generated a protein complex resource for human, Drosophila, and yeast from the literature and databases of protein-protein interaction networks, with each species having thousands of complexes. We developed COMPLEAT (http://www.flyrnai.org/compleat), a tool for data mining and visualization for complex-based analysis of high-throughput data sets, as well as analysis and integration of heterogeneous proteomics and gene expression data sets. With COMPLEAT, we identified dynamically regulated protein complexes among genome-wide RNA interference data sets that used the abundance of phosphorylated extracellular signal–regulated kinase in cells stimulated with either insulin or epidermal growth factor as the output. The analysis predicted that the Brahma complex participated in the insulin response.

The skinny on Fat: an enormous cadherin that regulates cell adhesion, tissue growth, and planar cell polarity.

Fat is an extremely large atypical cadherin involved in the regulation of cell adhesion, tissue growth, and planar cell polarity (PCP). Recent studies have begun to illuminate the mechanisms by which Fat performs these functions during development. Fat relays signals to the Hippo pathway to regulate tissue growth, and to PCP proteins to regulate tissue patterning. In this review we briefly cover the historical data demonstrating that Fat regulates tissue growth and tissue patterning, and then focus on advances in the past three years illuminating the mechanisms by which Fat controls growth and planar polarity in flies and mammals.