Dissecting ubiquitylation and DNA damage response pathways in the yeast Saccharomyces cerevisiae using a proteome-wide approach
Ontology highlight
ABSTRACT:
INSTRUMENT(S): ultraflex, maXis, LTQ, LCQ Classic, Orbitrap Fusion, 6520A Quadrupole Time-of-Flight LC/MS, Orbitrap Fusion Lumos, Synapt MS, 6410 Triple Quadrupole LC/MS, LTQ Orbitrap Elite, Q Exactive, 6340 Ion Trap LC/MS, LTQ Orbitrap, autoflex, LTQ Orbitrap Velos, 4800 Proteomics Analyzer, Q-Tof Ultima, LTQ FT, 6220 Time-of-Flight LC/MS, TripleTOF 5600, Q Exactive HF, MALDI Synapt MS, Q TRAP, QSTAR, 4700 Proteomics Analyzer
ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)
SUBMITTER: 
Ewa Blaszczak
LAB HEAD: Ewa Blaszczak
PROVIDER: PXD043291 | Pride | 2023-12-13
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| 1813004-F1-F8-globally.mzML | Mzml | |||
| 1813004-F1-F8-globally.mzid.gz | Mzid | |||
| 1813004-F1-F8-globally.pdResult | Other | |||
| 1813004-F1-F8-globally.pdResultView | Other | |||
| 1813004-F1.raw | Raw |
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Project description:The DNA-damage response (DDR) is a critical network for maintaining genomic integrity, and mutations in the DDR are among the most frequently identified in tumors. Phosphorylation is a key signaling event in the DDR network. We sought to design high throughput, mass spectrometry based assays to monitor phosphopeptides in the DDR network for biological experiments and pharmacodynamics studies. These assays require an enrichment step, which can be done using antibodies. Developing antibodies de novo for phosphopeptide enrichment is costly and time-consuming, so we assessed the feasibility of immobilized-metal affinity chromatography (IMAC) enrichment coupled with multiple reaction monitoring-mass spectrometry (MRM-MS) for precise measurement of large numbers of phosphopeptides in the DDR network. Towards this goal, we evaluate the ability of the approach to reproducibly measure the endogenous phosphorylation levels of proteins associated with the DDR. Reproducibly detectable phosphopeptide targets for MRM-based assay development were empirically identified from LC-MS/MS analyses of SILAC-labeled MCF10A human breast epithelial cells exposed or mock-exposed to DNA damage. Samples were treated in triplicate with either ionizing radiation (IR) or methyl methanesulfonate (MMS) as the DNA-damaging agent. SILAC-labeled cells were prepared in two separate (label swap) experiments. First, treated cell lines were grown in heavy SILAC medium and untreated in light, and second, this labeling scheme was reversed. Untreated and treated cells were mixed at a 1:1 ratio by protein mass. To identify phosphopeptides at levels observable by MRM in an approach amenable to moderate throughput, a single step IMAC enrichment was developed for rapid processing of whole cell lysate.
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Project description:To cause disease, Salmonella enterica serovar Typhimurium requires two type-III secretion systems, encoded on Salmonella Pathogenicity Islands 1 and 2 (SPI-1 and -2). These secretion systems serve to deliver virulence proteins, termed effectors, into the host cell cytosol. While the importance of these effector proteins to promote colonization and replication within the host has been established, the specific roles of individual secreted effectors in the disease process are not well understood. In this study, we used an in vivo gallbladder epithelial cell infection model to study the function of the SPI-2-encoded effector, SseL. Deletion of the sseL gene resulted in bacterial filamentation and elongation and unusual localization of Salmonella within infected epithelial cells. Infection with the ?sseL strain also caused dramatic changes in lipid metabolism and led to massive accumulation of lipid droplets in infected cells. Some of these changes were investigated through metabolomics of gallbladder tissue. This phenotype was directly attributed to the deubiquitinase activity of SseL, as a Salmonella strain carrying a single point mutation in the catalytic cysteine resulted in the same phenotype as the deletion mutant. Excessive buildup of lipids due to the absence of a functional sseL gene was also observed in S. Typhimurium-infected livers. These results demonstrate that SseL alters host lipid metabolism in infected epithelial cells by modifying ubiquitination patterns of cellular targets. Female C57BL/6 mice were infected with the indicated strain of Salmonella enterica serovar Typhimurium by oral gavage. Four gallbladders were collected and pooled per sample group and metabolites extracted using a mixture of methanol and chloroform. Extracts were infused into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140). To identify differences in metabolite composition between different groups of samples, we filtered the list of masses for metabolites which were present on one set of samples but not the other. Additionally, we calculated the ratios between averaged intensities of metabolites from each group of mice. To assign possible metabolite identities, monoisotopic neutral masses of interest were queried against MassTrix (http://masstrix.org). Masses were searched against the Mus musculus database within a mass error of 3 ppm.
2011-08-22 | E-GEOD-27604 | biostudies-arrayexpress
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Project description:The interplay between pathogens and hosts has been studied for decades using targeted approaches such as the analysis of mutants and host immunological responses. Although much has been learned from such studies, they focus on individual pathways and fail to reveal the global effects of infection on the host. To alleviate this issue, high-throughput methods such as transcriptomics and proteomics have been used to study host-pathogen interactions. Recently, metabolomics was established as a new method to study changes in the biochemical composition of host tissues. We report a metabolomics study of Salmonella enterica serovar Typhimurium infection. We used Fourier Transform Ion Cyclotron Resonance Mass Spectrometry with Direct Infusion to reveal that dozens of host metabolic pathways are affected by Salmonella in a murine infection model. In particular, multiple host hormone pathways are disrupted. Our results identify unappreciated effects of infection on host metabolism and shed light on mechanisms used by Salmonella to cause disease, and by the host to counter infection. Female C57BL/6 mice were infected with Salmonella enterica serovar Typhimurium SL1344 cells by oral gavage. Feces and livers were collected and metabolites extracted using acetonitrile. For experiments with feces, samples were collected from 4 mice before and after infection. For liver experiments, 11 uninfected and 11 infected mice were used. Samples were combined into 3 groups of 3-4 mice each, resulting in the analysis of 3 group samples of uninfected and 3 of infected mice. Extracts were infused into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140 [PMID 19081807]). To identify differences in metabolite composition between uninfected and infected samples, we filtered the list of masses for metabolites which were present on one set of samples but not the other. Additionally, we calculated the ratios between averaged intensities of metabolites from uninfected and infected mice. To assign possible metabolite identities, monoisotopic neutral masses of interest were queried against MassTrix (http://masstrix.org). Masses were searched against the Mus musculus database within a mass error of 3 ppm. Data were analyzed by unpaired t tests with 95% confidence intervals.
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Project description:DNA damage response (DDR) plays pivotal roles in maintaining genome integrity and stability. An effective DDR requires the involvement of hundreds of genes that compose a complicated network. To identify novel genes involved in DDR, we screened a genome-wide Schizosaccharomyces pombe (S. pombe) haploid deletion library against six different DNA damage reagents. We identified 52 genes that were actively involved in DDR. Among the 52 genes, 20 genes were linked to DDR for the first time. For a better understanding of DDR genes function, we performed a DNA microarray assay to analyze the gene expression profiles of eight deletions. Cells of wild type and eight deletions involved in DDR were collected during the expontentially growing stage, and were subjected to RNA extraction and hybridization on Affymetrix microarrays. We tried to understand the role of genes in DDR by comparing the expression profiles of deletions with that of wild type.
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2021-08-30 | PXD003549 | Pride