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West M, Hedges JB, Chen A, Johnson AW. Defining the order in which Nmd3p and Rpl10p load onto nascent 60S ribosomal subunits. Mol Cell Biol 2005; 25:3802-13. [PMID: 15831484 PMCID: PMC1084314 DOI: 10.1128/mcb.25.9.3802-3813.2005] [Citation(s) in RCA: 103] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2004] [Revised: 01/20/2005] [Accepted: 01/28/2005] [Indexed: 11/20/2022] Open
Abstract
The large ribosomal subunit protein Rpl10p is required for subunit joining and 60S export in yeast. We have recently shown that Rpl10p as well as the cytoplasmic GTPase Lsg1p are required for releasing the 60S nuclear export adapter Nmd3p from subunits in the cytoplasm. Here, we more directly address the order of Nmd3p and Rpl10p recruitment to the subunit. We show that Nmd3p can bind subunits in the absence of Rpl10p. In addition, we examined the basis of the previously reported dominant negative growth phenotype caused by overexpression of C-terminally truncated Rpl10p and found that these Rpl10p fragments are not incorporated into subunits in the nucleus but instead sequester the WD-repeat protein Sqt1p. Sqt1p is an Rpl10p binding protein that is proposed to facilitate loading of Rpl10p into the 60S subunit. Although Sqt1p normally only transiently binds 60S subunits, the levels of Sqt1p that can be coimmunoprecipitated by the 60S-associated GTPase Lsg1p are significantly increased by a dominant mutation in the Walker A motif of Lsg1p. This mutant Lsg1 protein also leads to increased levels of Sqt1p in complexes that are coimmunoprecipitated with Nmd3p. Furthermore, the dominant LSG1 mutant also traps a mutant Rpl10 protein that does not normally bind stably to the subunit. These results support the idea that Sqt1p loads Rpl10p onto the Nmd3p-bound subunit after export to the cytoplasm and that Rpl10p loading involves the GTPase Lsg1p.
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Abstract
During Drosophila embryogenesis, many cells and tissues undergo complex morphogenetic movements, such as ventral furrow formation, germ band extension and retraction, and dorsal closure. The best way to study and understand the cell behaviors during such tissue movements is to image them live using time course analysis. The Drosophila embryo lends itself perfectly to live imaging for several reasons: powerful genetics allow transgenic embryos expressing green fluorescent protein-fusion proteins to be quickly and easily generated and the expression domains of these reporters can be efficiently controlled using the GAL4-upstream activator sequence system. Embryos will survive for several hours mounted on a slide in a gas-permeable oil, such as Voltalef or Halocarbon, during which time they will undergo normal development and can be easily imaged using a confocal laser scanning microscope. Here, we describe in detail a protocol for live imaging of Drosophila embryos which, in our hands, is routinely used to study dorsal closure but is suitable for the live study of any process involving cell motility, be it a coordinated tissue movement such as dorsal closure or the movement of individual cells such as hemocytes within the embryo.
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228
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Wiwatwattana N, Kumar A. Organelle DB: a cross-species database of protein localization and function. Nucleic Acids Res 2005; 33:D598-604. [PMID: 15608270 PMCID: PMC540025 DOI: 10.1093/nar/gki071] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
To efficiently utilize the growing body of available protein localization data, we have developed Organelle DB, a web-accessible database cataloging more than 25,000 proteins from nearly 60 organelles, subcellular structures and protein complexes in 154 organisms spanning the eukaryotic kingdom. Organelle DB is the first on-line resource devoted to the identification and presentation of eukaryotic proteins localized to organelles and subcellular structures. As such, Organelle DB is a strong resource of data from the human proteome as well as from the major model organisms Saccharomyces cerevisiae, Arabidopsis thaliana, Drosophila melanogaster, Caenorhabditis elegans and Mus musculus. In particular, Organelle DB is a central repository of yeast data, incorporating results--and actual fluorescent imagesfrom ongoing large-scale studies of protein localization in S.cerevisiae. Each protein in Organelle DB is presented with its sequence and, as available, a detailed description of its function; functions were extracted from relevant model organism databases, and links to these databases are provided within Organelle DB. To facilitate data interoperability, we have annotated all protein localizations using vocabulary from the Gene Ontology consortium. We also welcome new data for inclusion in Organelle DB, which may be freely accessed at http://organelledb.lsi.umich.edu.
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229
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Del Aguila EM, Dutra MB, Silva JT, Paschoalin VMF. Comparing protocols for preparation of DNA-free total yeast RNA suitable for RT-PCR. BMC Mol Biol 2005; 6:9. [PMID: 15833107 PMCID: PMC1097730 DOI: 10.1186/1471-2199-6-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2004] [Accepted: 04/15/2005] [Indexed: 11/15/2022] Open
Abstract
Background Preparation of RNA free from DNA is a critical step before performing RT-PCR assay. Total RNA isolated from several sources, including those obtained from Saccharomyces cerevisiae, using routine methodologies are frequently contaminated with DNA, which can give rise to amplification products that mimic the amplicons expected from the RNA target. Results We investigated the efficiency of two DNase I based protocols for eliminating DNA contaminations from RNA samples obtained from yeast cells. Both procedures are very efficient in eliminating DNA contamination from RNA samples and entail three main steps, which involve treating of RNA samples with DNase I, inhibition of the enzyme by EDTA and its subsequent inactivation at 65°C. The DNase I treated samples were further purified with phenol: chloroform followed by precipitation with ice-cold ethanol (protocol I) or, alternatively, they were directly used in RT-PCR reactions (protocol II). Transcripts from ACT1, PDA1, CNA1, CNA2, TPS1 and TPS2 analyzed after each treatment showed that all mRNAs tested can be amplified if total RNA was extracted and purified after DNase I treatment, however, only TPS1, TPS2 and ACT1 mRNAs were amplified without extraction/purification step. Conclusion Although more laborious and requiring a higher initial amount of material, the inclusion of an extraction and purification step allows to prepare RNA samples that are free from DNA and from low molecular contaminants and can be applied to amplify any Saccharomyces cerevisiae mRNA by RT-PCR.
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Abstract
The Yeast Resource Center Public Data Repository (YRC PDR) serves as a single point of access for the experimental data produced from many collaborations typically studying Saccharomyces cerevisiae (baker's yeast). The experimental data include large amounts of mass spectrometry results from protein co-purification experiments, yeast two-hybrid interaction experiments, fluorescence microscopy images and protein structure predictions. All of the data are accessible via searching by gene or protein name, and are available on the Web at http://www.yeastrc.org/pdr/.
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231
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Hong P, Liu XS, Zhou Q, Lu X, Liu JS, Wong WH. A boosting approach for motif modeling using ChIP-chip data. Bioinformatics 2005; 21:2636-43. [PMID: 15817698 DOI: 10.1093/bioinformatics/bti402] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION Building an accurate binding model for a transcription factor (TF) is essential to differentiate its true binding targets from those spurious ones. This is an important step toward understanding gene regulation. RESULTS This paper describes a boosting approach to modeling TF-DNA binding. Different from the widely used weight matrix model, which predicts TF-DNA binding based on a linear combination of position-specific contributions, our approach builds a TF binding classifier by combining a set of weight matrix based classifiers, thus yielding a non-linear binding decision rule. The proposed approach was applied to the ChIP-chip data of Saccharomyces cerevisiae. When compared with the weight matrix method, our new approach showed significant improvements on the specificity in a majority of cases.
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232
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Mosammaparast N, Del Rosario BC, Pemberton LF. Modulation of histone deposition by the karyopherin kap114. Mol Cell Biol 2005; 25:1764-78. [PMID: 15713633 PMCID: PMC549354 DOI: 10.1128/mcb.25.5.1764-1778.2005] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The nuclear import of histones is a prerequisite for the downstream deposition of histones to form chromatin. However, the coordinate regulation of these processes remains poorly understood. Here we demonstrate that Kap114p, the primary karyopherin/importin responsible for the nuclear import of histones H2A and H2B, modulates the deposition of histones H2A and H2B by the histone chaperone Nap1p. We show that a complex comprising Kap114p, histones H2A and H2B, and Nap1p is present in the nucleus and that the presence of this complex is specifically promoted by Nap1p. This places Kap114p in a position to modulate Nap1p function, and we demonstrate by the use of two different assay systems that Kap114p inhibits Nap1p-mediated chromatin assembly. The inhibition of H2A and H2B deposition by Kap114p results in the concomitant inhibition of RCC1 loading onto chromatin. Biochemical evidence suggests that the mechanism by which Kap114p modulates histone deposition primarily involves direct histone binding, while the interaction between Kap114p and Nap1p plays a secondary role. Furthermore, we found that the inhibition of histone deposition by Kap114p is partially reversed by RanGTP. Our results indicate a novel mechanism by which cells can regulate histone deposition and establish a coordinate link between histone nuclear import and chromatin assembly.
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233
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Köffel R, Tiwari R, Falquet L, Schneiter R. The Saccharomyces cerevisiae YLL012/YEH1, YLR020/YEH2, and TGL1 genes encode a novel family of membrane-anchored lipases that are required for steryl ester hydrolysis. Mol Cell Biol 2005; 25:1655-68. [PMID: 15713625 PMCID: PMC549362 DOI: 10.1128/mcb.25.5.1655-1668.2005] [Citation(s) in RCA: 109] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Sterol homeostasis in eukaryotic cells relies on the reciprocal interconversion of free sterols and steryl esters. The formation of steryl esters is well characterized, but the mechanisms that control steryl ester mobilization upon cellular demand are less well understood. We have identified a family of three lipases of Saccharomyces cerevisiae that are required for efficient steryl ester mobilization. These lipases, encoded by YLL012/YEH1, YLR020/YEH2, and TGL1, are paralogues of the mammalian acid lipase family, which is composed of the lysosomal acid lipase, the gastric lipase, and four novel as yet uncharacterized human open reading frames. Lipase triple-mutant yeast cells are completely blocked in steryl ester hydrolysis but do not affect the mobilization of triacylglycerols, indicating that the three lipases are required for steryl ester mobilization in vivo. Lipase single mutants mobilize steryl esters to various degrees, indicating partial functional redundancy of the three gene products. Lipase double-mutant cells in which the third lipase is expressed from the inducible GAL1 promoter have greatly reduced steady-state levels of steryl esters, indicating that overexpression of any of the three lipases is sufficient for steryl ester mobilization in vivo. The three yeast enzymes constitute a novel class of membrane-anchored lipases that differ in topology and subcellular localization.
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234
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Busold CH, Winter S, Hauser N, Bauer A, Dippon J, Hoheisel JD, Fellenberg K. Integration of GO annotations in Correspondence Analysis: facilitating the interpretation of microarray data. Bioinformatics 2005; 21:2424-9. [PMID: 15746280 DOI: 10.1093/bioinformatics/bti367] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION The functional interpretation of microarray datasets still represents a time-consuming and challenging task. Up to now functional categories that are relevant for one or more experimental context(s) have been commonly extracted from a set of regulated genes and presented in long lists. RESULTS To facilitate interpretation, we integrated Gene Ontology (GO) annotations into Correspondence Analysis to display genes, experimental conditions and gene-annotations in a single plot. The position of the annotations in these plots can be directly used for the functional interpretation of clusters of genes or experimental conditions without the need for comparing long lists of annotations. Correspondence Analysis is not limited in the number of experimental conditions that can be compared simultaneously, allowing an easy identification of characterizing annotations even in complex experimental settings. Due to the rapidly increasing amount of annotation data available, we apply an annotation filter. Hereby the number of displayed annotations can be significantly reduced to a set of descriptive ones, further enhancing the interpretability of the plot. We validated the method on transcription data from Saccharomyces cerevisiae and human pancreatic adenocarcinomas. AVAILABILITY The M-CHiPS software is accessible for collaborators at http://www.mchips.org
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235
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Kolkman A, Dirksen EHC, Slijper M, Heck AJR. Double Standards in Quantitative Proteomics. Mol Cell Proteomics 2005; 4:255-66. [PMID: 15632418 DOI: 10.1074/mcp.m400121-mcp200] [Citation(s) in RCA: 75] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Quantitative protein expression profiling is a crucial part of proteomics and requires methods that are able to efficiently provide accurate and reproducible differential expression values for proteins in two or more biological samples. In this report we evaluate in a direct comparative assessment two state-of-the-art quantitative proteomic approaches, namely difference in gel electrophoresis (DiGE) and metabolic stable isotope labeling. Therefore, Saccharomyces cerevisiae was grown under well defined experimental conditions in chemostats under two single nutrient-limited growth conditions using (14)N- or (15)N-labeled ammonium sulfate as the single nitrogen source. Following lysis and protein extraction from the two yeast samples, the proteins were fluorescently labeled using different fluorescent CyDyes. Subsequently, the yeast samples were mixed, and the proteins were separated by two-dimensional gel electrophoresis. Following in-gel digestion, the resulting peptides were analyzed by mass spectrometry using a MALDI-TOF mass spectrometer. Relative ratios in protein expression between these two yeast samples were determined using both DiGE and metabolic stable isotope labeling. Focusing on a small, albeit representative, set of proteins covering the whole gel range, including some protein isoforms and ranging from low to high abundance, we observe that the correlation between these two methods of quantification is good with the differential ratios determined following the equation R(Met.Lab.) = 0.98R(DiGE) with r(2) = 0.89. Although the correlation between DiGE and metabolic stable isotope labeling is exceptionally good, we do observe and discuss (dis)advantages of both methods as well as in relation to other (quantitative) approaches.
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236
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Okazaki S, Naganuma A, Kuge S. Peroxiredoxin-mediated redox regulation of the nuclear localization of Yap1, a transcription factor in budding yeast. Antioxid Redox Signal 2005; 7:327-34. [PMID: 15706081 DOI: 10.1089/ars.2005.7.327] [Citation(s) in RCA: 70] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
A redox reaction involving cysteine thiol-disulfide exchange is crucial for the intracellular monitoring of oxidation status. The yeast transcription factor Yap1 is activated by formation of a disulfide bond, which inhibits nuclear export in response to peroxide stress, with resultant enhancement of the nuclear localization of Yap1. A glutathione peroxidase-like protein, Gpx3, which has peroxiredoxin activity, is required for formation of the disulfide bond in Yap1. We show here that the requirement for Gpx3 in the regulation of Yap1 is strain-specific. Thus, Tsa1, a ubiquitous thioredoxin peroxidase, is required for the activation of Yap1 in yeast strain Y700, which is derived from W303. The strain-specific utilization of different peroxiredoxins appears to be determined by Ybp1, a Yap1-binding protein. The Ybp1 of Y700 has a nonsense mutation, and a wild-type YBP1 gene can restore the Gpx3-dependent activation of Yap1. These results suggest that Tsa1, a ubiquitous peroxiredoxin, has the potential for transducing redox signals to a particular sensor protein.
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237
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Baldwin EL, Berger AC, Corbett AH, Osheroff N. Mms22p protects Saccharomyces cerevisiae from DNA damage induced by topoisomerase II. Nucleic Acids Res 2005; 33:1021-30. [PMID: 15718301 PMCID: PMC549411 DOI: 10.1093/nar/gki246] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
The cleavage reaction of topoisomerase II, which creates double-stranded DNA breaks, plays a central role in both the cure and initiation of cancer. Therefore, it is important to understand the cellular processes that repair topoisomerase II-generated DNA damage. Using a genome-wide approach with Saccharomyces cerevisiae, we found that Δmre11, Δxrs2, Δrad50, Δrad51, Δrad52, Δrad54, Δrad55, Δrad57 and Δmms22 strains were hypersensitive to etoposide, a drug that specifically increases levels of topoisomerase II-mediated DNA breaks. These results confirm that the single-strand invasion pathway of homologous recombination is the major pathway that repairs topoisomerase II-induced DNA damage in yeast and also indicate an important role for Mms22p. Although Δmms22 strains are sensitive to several DNA-damaging agents, little is known about the function of Mms22p. Δmms22 cultures accumulate in G2/M, and display an abnormal cell cycle response to topoisomerase II-mediated DNA damage. MMS22 appears to function outside of the single-strand invasion pathway, but levels of etoposide-induced homologous recombination in Δmms22 cells are lower than wild-type. MMS22 is epistatic with RTT101 and RTT107, genes that encode its protein binding partners. Finally, consistent with a role in DNA processes, Mms22p localizes to discrete nuclear foci, even in the absence of etoposide or its binding partners.
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Abstract
Intracellular protein degradation is one of the most precisely regulated processes in living cells. The main component of the degradation machinery is the 20S proteasome present in eukaryotes as well as in prokaryotes. We have developed successful purification protocols for the 20S proteasome in its native state using an affinity tag strategy. This chapter describes in detail the purification protocols, proteolytic activity assays, crystallization, and structure determination for the yeast 20S proteasome. The crystal structure of the eukaryotic proteasome opens new possibilities for identifying, characterizing, and elucidating the mode of action for natural and synthetic inhibitors, which affect its function. Some of these compounds may find therapeutic applications in contemporary medicine.
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239
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Abstract
HECT domain ubiquitin ligases (HECT E3s), typified by human E6AP and yeast Rsp5p, are unique among the several classes of known ubiquitin ligases in that they participate directly in the chemistry of substrate ubiquitination reactions. This chapter discusses strategies for the expression of active HECT E3s and the assays that are available for analyzing E2 interaction, ubiquitin-thioester formation, and substrate ubiquitination.
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240
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Yamada T, Kawashima S, Mamitsuka H, Goto S, Kanehisa M. Comprehensive analysis and prediction of synthetic lethality using subcellular locations. GENOME INFORMATICS. INTERNATIONAL CONFERENCE ON GENOME INFORMATICS 2005; 16:150-8. [PMID: 16362917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The lethality of a gene is a fundamental and representative measure for understanding the function of a gene and its associated bio-systems. Recently, many research groups have started focusing on the concept of synthetic lethality. The synthetic lethality between genes is defined by the combination of mutations in two genes causing cell death. Here, we confirm that synthetic lethality and cellular location have close relationships among the Saccharomyces cerevisiae genes. Furthermore, we attempt the prediction of candidate gene pairs with synthetic lethality. The prediction is based on the hierarchical aspect model (HAM) which learns from a data set of cellular location to estimate a likelihood value indicating the synthetic lethality between genes.
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241
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Makrantoni V, Antrobus R, Botting CH, Coote PJ. Rapid enrichment and analysis of yeast phosphoproteins using affinity chromatography, 2D-PAGE and peptide mass fingerprinting. Yeast 2005; 22:401-14. [PMID: 15806615 DOI: 10.1002/yea.1220] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
A combination of affinity purification, 2D-PAGE and peptide mass fingerprinting was employed to study the phosphoprotein complement of Saccharomyces cerevisiae. Protein extracts were first passed through a phosphoprotein affinity column, and the phosphoprotein-enriched eluate fractions were then separated on 2D gels and visualized by staining with SYPRO Ruby. Proteins were excised from the gels and identified by peptide mass fingerprinting; 11/13 protein spots identified from a gel of the phosphoprotein-enriched fraction had prior published evidence indicating that they were phosphoproteins. Additional experiments using a specific stain for phosphoproteins, prior incubation of the protein extract with alkaline phosphatase and blotting with monoclonal antibodies to phosphothreonine, phosphoserine and phosphotyrosine demonstrated that the phosphoprotein affinity column was an effective method for enriching phosphoproteins. Further validating the method, growth of yeast in the presence of sorbic acid resulted in altered phosphorylation of 17 proteins, 13 of which had prior published evidence that they were phosphoproteins or had ATP binding activity.
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242
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Kolkman A, Olsthoorn MMA, Heeremans CEM, Heck AJR, Slijper M. Comparative Proteome Analysis of Saccharomyces cerevisiae Grown in Chemostat Cultures Limited for Glucose or Ethanol. Mol Cell Proteomics 2005; 4:1-11. [PMID: 15502163 DOI: 10.1074/mcp.m400087-mcp200] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The use of chemostat culturing enables investigation of steady-state physiological characteristics and adaptations to nutrient-limited growth, while all other relevant growth conditions are kept constant. We examined and compared the proteomic response of wild-type Saccharomyces cerevisiae CEN.PK113-7D to growth in aerobic chemostat cultures limited for carbon sources being either glucose or ethanol. To obtain a global overview of changes in the proteome, we performed triplicate analyses using two-dimensional gel electrophoresis and identified proteins of interest using MS. Relative quantities of about 400 proteins were obtained and analyzed statistically to determine which protein steady-state expression levels changed significantly under glucose- or ethanol-limited conditions. Interestingly, only enzymes involved in central carbon metabolism showed a significant change in steady-state expression, whereas expression was only detected in one of both carbon source-limiting conditions for 15 of these enzymes. Side effects that were previously reported for batch cultivation conditions, such as responses to continuous variation of specific growth rate, to carbon-catabolite repression, and to accumulation of toxic substrates, were not observed. Moreover, by comparing our proteome data with corresponding mRNA data, we were able to unravel which processes in the central carbon metabolism were regulated at the level of the proteome, and which processes at the level of transcriptome. Importantly, we show here that the combined approach of chemostat cultivation and comprehensive proteome analysis allowed us to study the primary effect of single limiting conditions on the yeast proteome.
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243
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Vaena de Avalos S, Su X, Zhang M, Okamoto Y, Dowhan W, Hannun YA. The phosphatidylglycerol/cardiolipin biosynthetic pathway is required for the activation of inositol phosphosphingolipid phospholipase C, Isc1p, during growth of Saccharomyces cerevisiae. J Biol Chem 2004; 280:7170-7. [PMID: 15611094 DOI: 10.1074/jbc.m411058200] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Inositolsphingolipid phospholipase C (Isc1p) is the Saccharomyces cerevisiae member of the extended family of neutral sphingomyelinases that regulates the generation of bioactive ceramides. Recently, we reported that Isc1p is post-translationally activated in the post-diauxic phase of growth and that it localizes to mitochondria (Vaena de Avalos, S., Okamoto, Y., and Hannun, Y. A. (2004) J. Biol. Chem. 279, 11537-11545). In this study the in vivo mechanisms of activation and function of Isc1p were investigated. Deletion of ISC1 resulted in markedly lower growth in non-fermentable carbon sources. Interestingly, the growth defect of isc1Delta strains resembled that of pgs1Delta strains, lacking the committed step in the synthesis of phosphatidylglycerol (PG) and cardiolipin (CL), which were shown to activate Isc1p in vitro. Therefore, the role of Pgs1p in activation of Isc1p in vivo was investigated. The results showed that in the pgs1Delta strain, the growth-dependent activation of Isc1p was impaired as was the ISC1-dependent increase in the levels of phytoceramide during the post-diauxic phase, demonstrating that the activation of Isc1p in vivo is dependent on PGS1 and on the mitochondrial phospholipids PG/CL. Mechanistically, loss of Isc1p resulted in lower levels of mitochondrial cytochrome c oxidase subunits cox3p and cox4p, previously established targets of both PG and CL (Ostrander, D. B., Zhang, M., Mileykovskaya, E., Rho, M., and Dowhan, W. (2001) J. Biol. Chem. 276, 25262-25272), thus suggesting that Isc1p mediates at least some functions downstream of PG/CL. This study provides the first evidence for the mechanism of in vivo activation and function of Isc1p. A model with endogenous PG/CL as the in vivo activator of Isc1p is proposed.
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244
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Wykoff DD, O'Shea EK. Identification of sumoylated proteins by systematic immunoprecipitation of the budding yeast proteome. Mol Cell Proteomics 2004; 4:73-83. [PMID: 15596868 DOI: 10.1074/mcp.m400166-mcp200] [Citation(s) in RCA: 85] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The identification of post-translational modifications to proteins is critical for understanding many important aspects of biology. Utilizing a collection of epitope-tagged yeast strains, we developed a novel approach to determine which proteins are modified by the small ubiquitin-related modifier (SUMO). We crossed traits useful for the detection of SUMO conjugation into 4246 tandem affinity purification-tagged strains and successfully immunoprecipitated and screened 2893 of these proteins for association with SUMO ( approximately 70% of the expressed proteome detectable by immunoblot analysis). We found 82 proteins associated with SUMO, including many of low abundance. Because our screen was performed under non-denaturing conditions, we were able to identify multiple members of four complexes that were associated with SUMO: the RSC chromatin remodeling complex, the mediator complex, the TFIID complex, and the septin complex. In addition, we describe five new direct conjugates of SUMO, and we mutated SUMO conjugation sites in four proteins. This is the first attempt to immunoprecipitate a large fraction of the proteome of a eukaryote, and it demonstrates the utility of this method to identify post-translational modifications in the yeast proteome.
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245
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Chen Y, Xu D. Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae. Nucleic Acids Res 2004; 32:6414-24. [PMID: 15585665 PMCID: PMC535686 DOI: 10.1093/nar/gkh978] [Citation(s) in RCA: 94] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2004] [Revised: 11/15/2004] [Accepted: 11/15/2004] [Indexed: 11/14/2022] Open
Abstract
As we are moving into the post genome-sequencing era, various high-throughput experimental techniques have been developed to characterize biological systems on the genomic scale. Discovering new biological knowledge from the high-throughput biological data is a major challenge to bioinformatics today. To address this challenge, we developed a Bayesian statistical method together with Boltzmann machine and simulated annealing for protein functional annotation in the yeast Saccharomyces cerevisiae through integrating various high-throughput biological data, including yeast two-hybrid data, protein complexes and microarray gene expression profiles. In our approach, we quantified the relationship between functional similarity and high-throughput data, and coded the relationship into 'functional linkage graph', where each node represents one protein and the weight of each edge is characterized by the Bayesian probability of function similarity between two proteins. We also integrated the evolution information and protein subcellular localization information into the prediction. Based on our method, 1802 out of 2280 unannotated proteins in yeast were assigned functions systematically.
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246
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Burdine L, Gillette TG, Lin HJ, Kodadek T. Periodate-triggered cross-linking of DOPA-containing peptide-protein complexes. J Am Chem Soc 2004; 126:11442-3. [PMID: 15366882 DOI: 10.1021/ja045982c] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Chemical cross-linking is a powerful methodology for analyzing proteins-small molecule and protein-protein interactions. We describe the development of a new chemical cross-linking reaction for the study of protein complexes. Specifically, we show that molecules containing an ortho dihydroxyarene unit can be oxidized selectively with sodium periodate in the presence of native proteins, producing an ortho quinone intermediate that can cross-link with suitable nearby protein residues. We demonstrate the efficacy and specificity of this chemistry for a peptide-protein complex and also deduce the binding site of an artificial activation domain on a proteasome subcomplex.
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247
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de Lichtenberg U, Jensen LJ, Fausbøll A, Jensen TS, Bork P, Brunak S. Comparison of computational methods for the identification of cell cycle-regulated genes. Bioinformatics 2004; 21:1164-71. [PMID: 15513999 DOI: 10.1093/bioinformatics/bti093] [Citation(s) in RCA: 155] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION DNA microarrays have been used extensively to study the cell cycle transcription programme in a number of model organisms. The Saccharomyces cerevisiae data in particular have been subjected to a wide range of bioinformatics analysis methods, aimed at identifying the correct and complete set of periodically expressed genes. RESULTS Here, we provide the first thorough benchmark of such methods, surprisingly revealing that most new and more mathematically advanced methods actually perform worse than the analysis published with the original microarray data sets. We show that this loss of accuracy specifically affects methods that only model the shape of the expression profile without taking into account the magnitude of regulation. We present a simple permutation-based method that performs better than most existing methods.
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Nye TMW, Berzuini C, Gilks WR, Babu MM, Teichmann SA. Statistical analysis of domains in interacting protein pairs. Bioinformatics 2004; 21:993-1001. [PMID: 15509600 DOI: 10.1093/bioinformatics/bti086] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
MOTIVATION Several methods have recently been developed to analyse large-scale sets of physical interactions between proteins in terms of physical contacts between the constituent domains, often with a view to predicting new pairwise interactions. Our aim is to combine genomic interaction data, in which domain-domain contacts are not explicitly reported, with the domain-level structure of individual proteins, in order to learn about the structure of interacting protein pairs. Our approach is driven by the need to assess the evidence for physical contacts between domains in a statistically rigorous way. RESULTS We develop a statistical approach that assigns p-values to pairs of domain superfamilies, measuring the strength of evidence within a set of protein interactions that domains from these superfamilies form contacts. A set of p-values is calculated for SCOP superfamily pairs, based on a pooled data set of interactions from yeast. These p-values can be used to predict which domains come into contact in an interacting protein pair. This predictive scheme is tested against protein complexes in the Protein Quaternary Structure (PQS) database, and is used to predict domain-domain contacts within 705 interacting protein pairs taken from our pooled data set.
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Guglielmi B, van Berkum NL, Klapholz B, Bijma T, Boube M, Boschiero C, Bourbon HM, Holstege FCP, Werner M. A high resolution protein interaction map of the yeast Mediator complex. Nucleic Acids Res 2004; 32:5379-91. [PMID: 15477388 PMCID: PMC524289 DOI: 10.1093/nar/gkh878] [Citation(s) in RCA: 181] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2004] [Revised: 09/20/2004] [Accepted: 09/20/2004] [Indexed: 11/13/2022] Open
Abstract
Mediator is a large, modular protein complex remotely conserved from yeast to man that conveys regulatory signals from DNA-binding transcription factors to RNA polymerase II. In Saccharomyces cerevisiae, Mediator is thought to be composed of 24 subunits organized in four sub-complexes, termed the head, middle, tail and Cdk8 (Srb8-11) modules. In this work, we have used screening and pair-wise two-hybrid approaches to investigate protein-protein contacts between budding yeast Mediator subunits. The derived interaction map includes the delineation of numerous interaction domains between Mediator subunits, frequently corresponding to segments that have been conserved in evolution, as well as novel connections between the Cdk8 (Srb8-11) and head modules, the head and middle modules, and the middle and tail modules. The two-hybrid analysis, together with co-immunoprecipitation studies and gel filtration experiments revealed that Med31 (Soh1) is associated with the yeast Mediator that therefore comprises 25 subunits. Finally, analysis of the protein interaction network within the Drosophila Mediator middle module indicated that the structural organization of the Mediator complex is conserved from yeast to metazoans. The resulting interaction map provides a framework for delineating Mediator structure-function and investigating how Mediator function is regulated.
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Haack MB, Eliasson A, Olsson L. On-line cell mass monitoring of Saccharomyces cerevisiae cultivations by multi-wavelength fluorescence. J Biotechnol 2004; 114:199-208. [PMID: 15464613 DOI: 10.1016/j.jbiotec.2004.05.009] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2004] [Revised: 05/27/2004] [Accepted: 05/28/2004] [Indexed: 10/26/2022]
Abstract
The catalyst in bioprocesses, i.e. the cell mass, is one of the most challenging and important variables to monitor in bioprocesses. In the present study, cell mass in cultivations with Saccharomyces cerevisiae was monitored on-line with a non-invasive in situ placed sensor measuring multi-wavelength culture fluorescence. The excitation wavelength ranged from 270 to 550 nm with 20 nm steps and the emission wavelength range was from 310 to 590 nm also with 20 nm steps. The obtained spectra were analysed chemometrically with the multi-way technique, parallel factor analysis (PARAFAC), resulting in a decomposition of the multivariate fluorescent landscape, whereby underlying spectra of the individual intrinsic fluorophors present in the cell mass were estimated. Furthermore, gravimetrically determined cell mass concentration was used together with the fluorescence spectra for calibration and validation of multivariate partial least squares (PLS) regression models. Both two- and three-way models were calculated, the models behaved similarly giving root mean square error of prediction (RMSEPs) of 0.20 and 0.19 g l(-1), respectively, when test set validation was used. Based on this work, it is evident that on-line monitoring of culture fluorescence can be used for estimation of the cell mass concentration during cultivations.
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