The study of macromolecular complexes by quantitative proteomics.

We describe a generic strategy for determining the specific composition, changes in the composition, and changes in the abundance of protein complexes. It is based on the use of isotope-coded affinity tag (ICAT) reagents and mass spectrometry to compare the relative abundances of tryptic peptides derived from suitable pairs of purified or partially purified protein complexes. In a first application, the genuine protein components of a large RNA polymerase II (Pol II) preinitiation complex (PIC) were distinguished from a background of co-purifying proteins by comparing the relative abundances of peptides derived from a control sample and the specific complex that was purified from nuclear extracts by a single-step promoter DNA affinity procedure. In a second application, peptides derived from immunopurified STE12 protein complexes isolated from yeast cells in different states were used to detect quantitative changes in the abundance of the complexes, and to detect dynamic changes in the composition of the samples. The use of quantitative mass spectrometry to guide identification of specific complex components in partially purified samples, and to detect quantitative changes in the abundance and composition of protein complexes, provides the researcher with powerful new tools for the comprehensive analysis of macromolecular complexes.

Kap121p-mediated nuclear import is required for mating and cellular differentiation in yeast.

To further our understanding of how the nucleocytoplasmic transport machinery interfaces with its cargoes and how this affects cellular physiology, we investigated the molecular mechanisms of phenotypes associated with mutations in karyopherin Kap121p. Two previously unreported phenotypes of kap121 cells were observed: defects in mating and in the transition from the normal yeast form to the pseudohyphal, invasive form. In parallel, we searched for Kap121p cargoes by using Kap121p as a probe in overlay assays of yeast nuclear proteins. One of the major interacting proteins identified by this procedure was Ste12p, a transcription factor central to both the mating response and the pseudohyphal transition. We therefore investigated whether defects in these differentiation processes were due to an inability to import Ste12p. Both immunopurification and in vitro binding studies demonstrated that Ste12p interacted specifically with Kap121p in a Ran-GTP-sensitive manner and that Ste12p was mislocalized to the cytoplasm by inactivation of Kap121p in a temperature-sensitive mutant. The Kap121p-specific nuclear localization signal (NLS) of Ste12p was determined to reside within a C-terminal region of Ste12p. Furthermore, by overexpression of STE12 or expression of a STE12-cNLS fusion in kap121 cells, the invasive-growth defect and the mating defect were both suppressed. Together these data demonstrate that Ste12p is imported into nuclei by Kap121p and that mating and differentiation defects associated with kap121 mutants are primarily attributable to the mislocalization of Ste12p.

Characterization of karyopherin cargoes reveals unique mechanisms of Kap121p-mediated nuclear import.

In yeast there are at least 14 members of the beta-karyopherin protein family that govern the movement of a diverse set of cargoes between the nucleus and cytoplasm. Knowledge of the cargoes carried by each karyopherin and insight into the mechanisms of transport are fundamental to understanding constitutive and regulated transport and elucidating how they impact normal cellular functions. Here, we have focused on the identification of nuclear import cargoes for the essential yeast beta-karyopherin, Kap121p. Using an overlay blot assay and coimmunopurification studies, we have identified 30 putative Kap121p cargoes. Among these were Nop1p and Sof1p, two essential trans-acting protein factors required at the early stages of ribosome biogenesis. Characterization of the Kap121p-Nop1p and Kap121p-Sof1p interactions demonstrated that, in addition to lysine-rich nuclear localization signals (NLSs), Kap121p recognizes a unique class of signals distinguished by the abundance of arginine and glycine residues and consequently termed rg-NLSs. Kap104p is also known to recognize rg-NLSs, and here we show that it compensates for the loss of Kap121p function. Sof1p is also transported by Kap121p; however, its import can be mediated by a piggyback mechanism with Nop1p bridging the interaction between Sof1p and Kap121p. Together, our data elucidate additional levels of complexity in these nuclear transport pathways.

Studying nuclear protein import in yeast.

The yeast Saccharomyces cerevisiae is a common model organism for biological discovery. It has become popularized primarily because it is biochemically and genetically amenable for many fundamental studies on eukaryotic cells. These features, as well as the development of a number of procedures and reagents for isolating protein complexes, and for following macromolecules in vivo, have also fueled studies on nucleo-cytoplasmic transport in yeast. One limitation of using yeast to study transport has been the absence of a reconstituted in vitro system that yields quantitative data. However, advances in microscopy and data analysis have recently enabled quantitative nuclear import studies, which, when coupled with the significant advantages of yeast, promise to yield new fundamental insights into the mechanisms of nucleo-cytoplasmic transport.

A data integration methodology for systems biology: experimental verification.

The integration of data from multiple global assays is essential to understanding dynamic spatiotemporal interactions within cells. In a companion paper, we reported a data integration methodology, designated Pointillist, that can handle multiple data types from technologies with different noise characteristics. Here we demonstrate its application to the integration of 18 data sets relating to galactose utilization in yeast. These data include global changes in mRNA and protein abundance, genome-wide protein-DNA interaction data, database information, and computational predictions of protein-DNA and protein-protein interactions. We divided the integration task to determine three network components: key system elements (genes and proteins), protein-protein interactions, and protein-DNA interactions. Results indicate that the reconstructed network efficiently focuses on and recapitulates the known biology of galactose utilization. It also provided new insights, some of which were verified experimentally. The methodology described here, addresses a critical need across all domains of molecular and cell biology, to effectively integrate large and disparate data sets.

A data integration methodology for systems biology.

Different experimental technologies measure different aspects of a system and to differing depth and breadth. High-throughput assays have inherently high false-positive and false-negative rates. Moreover, each technology includes systematic biases of a different nature. These differences make network reconstruction from multiple data sets difficult and error-prone. Additionally, because of the rapid rate of progress in biotechnology, there is usually no curated exemplar data set from which one might estimate data integration parameters. To address these concerns, we have developed data integration methods that can handle multiple data sets differing in statistical power, type, size, and network coverage without requiring a curated training data set. Our methodology is general in purpose and may be applied to integrate data from any existing and future technologies. Here we outline our methods and then demonstrate their performance by applying them to simulated data sets. The results show that these methods select true-positive data elements much more accurately than classical approaches. In an accompanying companion paper, we demonstrate the applicability of our approach to biological data. We have integrated our methodology into a free open source software package named POINTILLIST.

Utp8p is an essential intranuclear component of the nuclear tRNA export machinery of Saccharomyces cerevisiae.

A yeast tRNA three-hybrid interaction approach and an in vivo nuclear tRNA export assay based on amber suppression was used to identify proteins that participate in the nuclear tRNA export process in Saccharomyces cerevisiae. One of the proteins identified by this strategy is Utp8p, an essential 80-kDa nucleolar protein that has been implicated in 18 S ribosomal RNA biogenesis. Our characterization indicated that the major function of Utp8p is in nuclear tRNA export. Like the S. cerevisiae Los1p and the mammalian exportin-t, which are proteins known to facilitate nuclear tRNA export, overexpression of Utp8p restored export of tRNAamTyr mutants defective in nuclear export. Furthermore, depletion of Utp8p blocked nuclear export of mature tRNAs derived from both intronless and intron-containing pre-tRNAs but did not affect tRNA and rRNA maturation, nuclear export of mRNA and ribosomes, or nuclear tRNA aminoacylation. Overexpression of Utp8p also alleviated nuclear retention of non-aminoacylated tRNATyr in a tyrosyl-tRNA synthetase mutant strain. Utp8p binds tRNA directly and saturably, indicating that it has a tRNA-binding site. Utp8p does not appear to function as a tRNA export receptor, because it does not shuttle between the nucleus and the cytoplasm. Taken together, the results suggest that Utp8p is an essential intranuclear component of the nuclear tRNA export machinery, which may channel tRNA to the various tRNA export pathways operating in S. cerevisiae.