Erin K. O'Shea

Global analysis of protein localization in budding yeast

A fundamental goal of cell biology is to define the functions of proteins in the context of compartments that organize them in the cellular environment. Here we describe the construction and analysis of a collection of yeast strains expressing full-length, chromosomally tagged green fluorescent protein fusion proteins. We classify these proteins, representing 75% of the yeast proteome, into 22 distinct subcellular localization categories, and provide localization information for 70% of previously unlocalized proteins. Analysis of this high-resolution, high-coverage localization data set in the context of transcriptional, genetic, and protein–protein interaction data helps reveal the logic of transcriptional co-regulation, and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.

Global analysis of protein expression in yeast

The availability of complete genomic sequences and technologies that allow comprehensive analysis of global expression profiles of messenger RNA have greatly expanded our ability to monitor the internal state of a cell. Yet biological systems ultimately need to be explained in terms of the activity, regulation and modification of proteins—and the ubiquitous occurrence of post-transcriptional regulation makes mRNA an imperfect proxy for such information. To facilitate global protein analyses, we have created a Saccharomyces cerevisiae fusion library where each open reading frame is tagged with a high-affinity epitope and expressed from its natural chromosomal location. Through immunodetection of the common tag, we obtain a census of proteins expressed during log-phase growth and measurements of their absolute levels. We find that about 80% of the proteome is expressed during normal growth conditions, and, using additional sequence information, we systematically identify misannotated genes. The abundance of proteins ranges from fewer than 50 to more than 106 molecules per cell. Many of these molecules, including essential proteins and most transcription factors, are present at levels that are not readily detectable by other proteomic techniques nor predictable by mRNA levels or codon bias measurements.

Global landscape of protein complexes in the yeast Saccharomyces cerevisiae

Identification of protein–protein interactions often provides insight into protein function, and many cellular processes are performed by stable protein complexes. We used tandem affinity purification to process 4,562 different tagged proteins of the yeast Saccharomyces cerevisiae. Each preparation was analysed by both matrix-assisted laser desorption/ionization–time of flight mass spectrometry and liquid chromatography tandem mass spectrometry to increase coverage and accuracy. Machine learning was used to integrate the mass spectrometry scores and assign probabilities to the protein–protein interactions. Among 4,087 different proteins identified with high confidence by mass spectrometry from 2,357 successful purifications, our core data set (median precision of 0.69) comprises 7,123 protein–protein interactions involving 2,708 proteins. A Markov clustering algorithm organized these interactions into 547 protein complexes averaging 4.9 subunits per complex, about half of them absent from the MIPS database, as well as 429 additional interactions between pairs of complexes. The data (all of which are available online) will help future studies on individual proteins as well as functional genomics and systems biology.

Quantification of protein half-lives in the budding yeast proteome

A complete description of protein metabolism requires knowledge of the rates of protein production and destruction within cells. Using an epitope-tagged strain collection, we measured the half-life of >3,750 proteins in the yeast proteome after inhibition of translation. By integrating our data with previous measurements of protein and mRNA abundance and translation rate, we provide evidence that many proteins partition into one of two regimes for protein metabolism: one optimized for efficient production or a second optimized for regulatory efficiency. Incorporation of protein half-life information into a simple quantitative model for protein production improves our ability to predict steady-state protein abundance values. Analysis of a simple dynamic protein production model reveals a remarkable correlation between transcriptional regulation and protein half-life within some groups of coregulated genes, suggesting that cells coordinate these two processes to achieve uniform effects on protein abundances. Our experimental data and theoretical analysis underscore the importance of an integrative approach to the complex interplay between protein degradation, transcriptional regulation, and other determinants of protein metabolism.

Mechanism of Specificity in the Fos-Jun Oncoprotein Heterodimer

Fos and Jun, the protein products of the nuclear proto-oncogenes c-fos and c-jun, associate preferentially to form a heterodimer that binds to DNA and modulates transcription of a wide variety of genes in response to mitogenic stimuli. Both Fos and Jun contain a single leucine zipper region. Previous studies have shown that the leucine zippers of Fos and Jun are necessary and sufficient to mediate preferential heterodimer formation. The leucine zipper regions from Fos and Jun are also known to fold autonomously, most likely as two-stranded, parallel coiled coils. We show here that 8 amino acids from Fos and from Jun are sufficient to mediate preferential heterodimer formation in a background of the GCN4 leucine zipper sequence. Using pH titration and amino acid replacements, we also show that destabilization of the Fos homodimer by acidic residues provides a major thermodynamic driving force for preferential heterodimer formation.

The receptor Msn5 exports the phosphorylated transcription factor Pho4 out of the nucleus.

The movement of many transcription factors, kinases and replication factors between the nucleus and cytoplasm is important in regulating their activity. In some cases, phosphorylation of a protein regulates its entry into the nucleus; in others, it causes the protein to be exported to the cytoplasm. The mechanism by which phosphorylation promotes protein export from the nucleus is poorly understood. Here we investigate how the export of the yeast transcription factor Pho4 is regulated in response to changes in phosphate availability. We show that phosphorylation of Pho4 by a nuclear complex of a cyclin with a cyclin-dependent kinase, Pho80–Pho85, triggers its export from the nucleus. We also find that the shuttling receptor used by Pho4 for nuclear export is the importin-β-family member Msn5 (refs 7, 8), which is required for nuclear export of Pho4 in vivo and binds only to phosphorylated Pho4 in the presence of the GTP-bound form of yeast Ran in vitro. Our results reveal a simple mechanism by which phosphorylation can control the nuclear export of a protein.

Signaling phosphate starvation

Phosphate starvation induces the transcription of several genes involved in phosphate metabolism in the budding yeast Saccharomyces cerevisiae. The signal transduction pathway that mediates this response consists of components that resemble those used to regulate the eukaryotic cell cycle; these include a cyclin-dependent kinase or CDK (Pho85), a cyclin (Pho80) and a CDK inhibitor (Pho81). The possibility that this pathway mediates cell-cycle responses to phosphate starvation is discussed.

Regulation of PHO4 Nuclear Localization by the PHO80-PHO85 Cyclin-CDK Complex

PHO4, a transcription factor required for induction of the PHO5 gene in response to phosphate starvation, is phosphorylated by the PHO80-PHO85 cyclin-CDK (cyclin-dependent kinase) complex when yeast are grown in phosphate-rich medium. PHO4 was shown to be concentrated in the nucleus when yeast were starved for phosphate and was predominantly cytoplasmic when yeast were grown in phosphate-rich medium. The sites of phosphorylation on PHO4 were identified, and phosphorylation was shown to be required for full repression of PHO5 transcription when yeast were grown in high phosphate. Thus, phosphorylation of PHO4 by PHO80-PHO85 turns off PHO5 transcription by regulating the nuclear localization of PHO4.

Yeast go the whole HOG for the hyperosmotic response

An evolutionarily conserved mitogen-activated protein kinase pathway--the high osmolarity glycerol (HOG) pathway--mediates the hyperosmotic response in Saccharomyces cerevisiae. A variety of powerful approaches has generated a comprehensive picture of how cells respond to this stress condition. Several presumptive osmosensors on the cell surface recruit and activate downstream signaling components, which regulate the activity of transcription factors to control gene expression.

Structure and function of a transcriptional network activated by the MAPK Hog1

Cells regulate gene expression using a complex network of signaling pathways, transcription factors and promoters. To gain insight into the structure and function of these networks, we analyzed gene expression in single- and multiple-mutant strains to build a quantitative model of the Hog1 MAPK-dependent osmotic stress response in budding yeast. Our model reveals that the Hog1 and general stress (Msn2/4) pathways interact, at both the signaling and promoter level, to integrate information and create a context-dependent response. This study lays out a path to identifying and characterizing the role of signal integration and processing in other gene regulatory networks.