Dataset Information

PG-regulated Synechocystis sp. PCC6803

ABSTRACT: Cells from the Synechocystis sp. PCC6803 strain were used to identify phosphatidylglycerol-regulated proteins by label-free quantitative shotgun proteomics combining SDS-PAGE prefractionation and data-dependent LC–MS/MS. Acquired data was searched against a composite protein sequence database of cyanobacteria using the Mascot search algorithm. Protein identifications were accepted after rigorous validation criteria of Peptide Prophet, Protein Prophet and requiring at least two unique proteolytic peptides for each protein. Extracted peptide intensity features were used for the label-free comparison of differential protein expression in the mutant cyanobacteria cells.

INSTRUMENT(S): LTQ FT

ORGANISM(S): Synechocystis Sp. Synechocystis Sp. Pcc 6803

TISSUE(S): Photosynthetic Cell

SUBMITTER: Laszlo Prokai

LAB HEAD: Laszlo Prokai

PROVIDER: PXD000363 | Pride | 2014-03-06

REPOSITORIES: pride

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Label-free LC-MS/MS identification of phosphatidylglycerol-regulated proteins in Synechocystis sp. PCC6803.

Talamantes Tatjana T Ughy Bettina B Domonkos Ildikó I Kis Mihály M Gombos Zoltán Z Prokai Laszlo L

Proteomics 20140501 9

We present a proteomics dataset combining SDS-PAGE prefractionation and data-dependent LC-MS/MS that enables the identification of phosphatidylglycerol-regulated proteins in the pgsA(-) mutant of Synechocystis sp. PCC6803, a cyanobacterium strain that grows with this indispensable phospholipid added exogenously. We searched the acquired raw data against a composite protein sequence database of Synechocystis using MASCOT, and employed Progenesis LC-MS software for label-free quantification based ...[more]

PMID: 24574175

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Project description:The production of biofuels in photosynthetic microalgae and cyanobacteria is considered a promising alternative to the generation of fuels from fossil resources. However, to be economically competitive, producer strains need to be established that synthesize the targeted product at high yield and over a long time. Engineering cyanobacteria to forced fuel producers should considerably interfere with overall cell homeostasis, which in turn might counteract productivity and sustainability of the process. Therefore, in-depth characterization of the cellular response upon long-term production is of high interest for the targeted improvement of a desired strain. Here we report the results of a monitoring experiment, in which the transcriptome-wide response to continuous ethanol production in the unicellular model cyanobacterium Synechocystis sp. PCC6803 was examined using high resolution microarrays. In two independent experiments, ethanol production rates of 0.0338% (v/v) EtOH d-1 M-BM-1 0.002 and 0.0303% (v/v) d-1 M-BM-1 0.002 were obtained over 18 consecutive days, measuring biological triplicates in fully automated photobioreactors. Ethanol production caused a significant (~40%) delay in biomass accumulation in the producer strains and the development of a bleaching phenotype. Absorption spectroscopy indicated in particular a down-regulation of light harvesting capacity. Microarray analyses performed at day 4, 7, 11 and 18 of the experiment revealed only three mRNAs with a strongly modified accumulation level throughout the course of the experiment. In addition to the overexpressed adhA (slr1192) gene, this was an about 4 fold reduction in cpcB (sll1577) and an about 3 to 6 fold increase in rps8 (sll1809) mRNA levels. Much weaker modifications of expression level or modifications restricted to day 18 of the experiment were observed for genes involved in carbon assimilation (Ribulose bisphosphate carboxylase and Glutamate decarboxylase). Molecular analysis of the reduced cpcB levels revealed a post-transcriptional operon discoordination in the cpcBA operon leaving a truncated mRNA cpcA* likely not competent for translation. Moreover, Western blots and zinc-enhanced bilin fluorescence blots confirmed a severe reduction in the amounts of both phycocyanin subunits, explaining the cause of the bleaching phenotype. We conclude that the changes in gene expression upon induction of long term ethanol production in Synechocystis sp. PCC6803 are highly specific. in particular we did not observe a comprehensive stress response contributing to a complex phenotype as might have been expected. Gene expression of Synechocystis sp. PCC 6803 WT (#621) and the isogenic ethanol producing strain #309 was monitored at 4, 7, 11 and 18 days after induction of ethanol production by copper depletion. Each condition was sampled in biological duplicates

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Project description:The loss of von Hippel-Lindau (VHL) protein function leads to highly vascular renal tumors characterized by an aggressive course of disease and refractoriness to chemotherapy and radiotherapy. Loss of VHL in renal tumors also differs from tumors of other organs in that the oncogenic cascade is mediated by an increase in the levels of hypoxia-inducible factor-2alpha (HIF2alpha) instead of hypoxia-inducible factor-1alpha (HIF1alpha). MS/MS data generated by data dependent acquisition via the LTQ-FT were extracted by BioWorks version 3.3 and searched against a composite IPI human protein sequence database (IPI _human_v 3.73.par) containing both forward and randomized sequences using Mascot version 2.2 (Matrix Science, Boston, MA) search algorithm. Mascot was searched with a fragment ion mass tolerance of 0.80 Da and a parent ion tolerance of 15.0 ppm assuming trypsin as the digestion enzyme with the possibility of one missed cleavage. Carbamidomethylation of cysteine was specified as a fixed modification, while oxidation of methionine, N-terminal protein acetylation, N-terminal peptide and lysine carbamoylation, and phosphorylation of serine and threonine were specified as variable modifications. The analysis of VHL-wt (Caki-2) human RCC and VHL-mut (786-O) cells was carried out from three independent, biological samples from each cell line (tryptic digests of Caki-2 and 786-O, respectively) and duplicate injections were made for each sample. Data processing was accomplished using two software tools: Scaffold (version Scaffold 3.0, Proteome Software Inc., Portland, OR) and Progenesis LC-MS (version 3.0, Nonlinear Dynamics, Durham, NC). Scaffold was employed to validate MS/MS-based peptide and protein identifications from Mascot database searching. Initial peptide identifications were accepted if they could be established at greater than 95% probability as specified by the Peptide Prophet algorithm [20]. Protein probabilities were assigned by the Protein Prophet algorithm [21]. Protein identifications were accepted, if they reached greater than 99% probability and contained at least 2 identified unique peptides. These identification criteria typically established < 0.01% false discovery rate based on a decoy database search strategy at the protein level. Extracted peptide intensities were evaluated with Progenesis LC-MS to obtain label-free relative quantification from the raw data files. The software created a single aggregate run based on LC retention time of each analysis to contain all MS data with distinguished peptide ions and, then, further feature outline maps were generated for detection and quantification of peptide ions from individual analyses using default program parameters. Peptide quantifications were performed by summing peak intensities followed by normalization, data filtering to retain only ions with positive charges (z) of two and three, and exporting peak lists to query against the IPI human protein sequence database using Mascot (see Database Search subsection above). Proteins were accepted as differentially expressed following analysis of variance (ANOVA, P<0.05), requiring at least a twofold change in expression and also passing validation by Peptide Prophet and Protein Prophet using protein identifications from Scaffold.

			Action	DRS
	20100617_PG1-_inj1.RAW	Raw
	20100617_PG1-_inj2.RAW	Raw
	20100617_PG1-_inj3.RAW	Raw
	20100617_PG1_inj1.RAW	Raw
	20100617_PG1_inj2.RAW	Raw