Quantitative proteomic analysis of ClpX in Synechocystis
Ontology highlight
ABSTRACT:
ORGANISM(S): Synechocystis Sp. Pcc 6803
SUBMITTER: 
Feng Ge
PROVIDER: PXD035313 | iProX | Tue Jul 12 00:00:00 BST 2022
REPOSITORIES: iProX
Similar Datasets
Project description:Quantification of circadian gene expression in WT Synechocystis sp. PCC 6803 cells
2013-04-02 | GSE45667 | GEO
Project description:Deciphering structure, function and mechanism of a new lysine methyltransferase cKMT1 in model cyanobacterium Synechocystis sp. PCC 6803
2022-07-29 | PXD035617 |
Project description:Iron is an essential cofactor in many metabolic reactions. Mechanisms controlling iron homeostasis need to respond to changes in extracellular conditions, but must also keep the concentration of intracellular iron under strict control, as free ferrous iron (Fe2+) can lead to the generation of reactive oxygen species. Due to its role as redox carrier in photosynthesis, the iron quota in cyanobacteria is about 10 times higher than in model enterobacteria, but the molecular details how such high quota is tightly regulated have remained obscure. Here, we measured time-resolved gene expression changes after iron depletion in the cyanobacterium Synechocystis sp. PCC 6803 using a comprehensive microarray platform monitoring both protein-coding and non-coding transcripts. In total, 644 protein-coding genes were differentially expressed during the first 72h. Many of these proteins are associated with iron transport, photosynthesis or ATP synthesis. Comparing our data with three previous studies, we identified a core set of 28 genes involved in the iron stress response. Among them were genes encoding proteins important for assimilation of inorganic carbon, suggesting a previously unknown link between the carbon and iron regulatory networks. Nine of the 28 genes are of unknown function and constitute key targets for detailed functional analysis. Applying identical statistical and clustering criteria as for the protein-coding fraction, we also identified 10 small RNAs, 62 anti-sense RNAs, four 5M-bM-^@M-^YUTRs and 7 intergenic elements as likely to be involved in the iron regulatory network. Hence, our genome-wide profiling results indicate an unprecedented complexity in the iron-related regulatory network of cyanobacteria. We monitored iron limitation stress induced gene expression changes in the cyanobacterial model organism Synechocystis sp. PCC 6803. We included a control sample without iron-stress (0h) and 5 samples from timepoints after stress induction (3h, 12h, 24h, 48h, 72h). Each timepoint was sampled from two independent biological replicates.
2012-07-31 | E-GEOD-39804 | biostudies-arrayexpress
Project description:Targeted proteome analysis of Synechocystis sp. PCC 6803 under photoautotrophic and mixotrophic conditions
2020-06-02 | PXD010010 | JPOST Repository
Project description:The model cyanobacterium Synechocystis sp. PCC 6803 was used for a systematic survey on the number and types of antisense (as)RNAs. A tiled microarray was constructed with probes for both strands of the genes or intergenic spacers with candidate transcripts predicted by an algorithm and an equally sized and distributed control set. The resulting 102,739 individual probes cover an accumulated length of 1,441,146 nt or about 40% of the total chromosome sequence of Synechocystis 6803. Hybridization of this array with total RNA isolated from cultures raised under different growth conditions identified a high number of transcripts from intergenic spacers and in antisense orientation to known genes (natural cis-asRNAs). Extrapolated to the whole genome, around 10% of all open reading frames in Synechocystis 6803 may have a corresponding asRNA, suggesting a much more important role of chromosomally encoded asRNAs in bacteria then anticipated so far. Keywords: stress response
2009-01-14 | GSE14410 | GEO
Project description:Like many other organisms, cyanobacteria exhibit rhythmic gene expression with a period length of 24 hours to adapt to daily environmental changes. In the model organism Synechococcus elongatus PCC 7942 the central oscillator consists of three proteins: KaiA, KaiB and KaiC and utilizes the histidine kinase SasA and its response regulator RpaA as output-signaling pathway. Synechocystis sp. PCC 6803 contains two additional homologs of the kaiB and kaiC genes. Here we demonstrate that RpaA interacts with the core oscillator KaiAB1C1 of Synechocystis sp. PCC 6803 via SasA, similar to Synechococcus elongatus PCC 7942. However, interaction with the additional Kai homologs was not detected, suggesting different signal transduction components for the clock homologs. Inactivation of rpaA in Synechocystis sp. PCC 6803, lead to reduced viability of the mutant in light-dark cycles that aggravated under mixotrophic growth conditions. Chemoheterotrophic growth in the dark was abolished completely. In accordance, transcriptomic data revealed that RpaA is involved in the regulation of genes related to CO2‑acclimation and carbon metabolism under diurnal light conditions. Further, our results indicate that RpaA functions in the posttranslational regulation of glycogen metabolism as well, and a potential link between the circadian clock and motility was identified.
2018-10-01 | GSE116795 | GEO
Project description:In contrast to Synechococcus elongatus PCC 7942, which has been the model cyanobacterium for the study of the prokaryotic circadian clock for more than 20 years, only few data exist on the circadian behaviour of the widely used cyanobacterium Synechocystis sp. PCC 6803. The standard kaiABC operon present in this organism was shown to encode a functional KaiC protein which interacts with KaiA, similar to the Synechococcus elongatus PCC 7942 clock. Inactivation of this operon in Synechocystis sp. PCC 6803 resulted in a mutant with a strong growth defect in light-dark cycles, which was even more pronounced when glucose was added to the growth medium. In addition, mutants showed a bleaching phenotype. No effects were detected in mutant cells grown in constant light. Microarray experiments performed with cells grown for one day in a light-dark cycle revealed many differentially regulated genes with known functions in the ΔkaiABC mutant in comparison to the wild type. Most interestingly, we identified genes like the gene encoding the cyanobacterial phytochrome Cph1 and the light repressed protein LrtA as well as several hypothetical open reading frames with a complete inverse behaviour in the light cycle. These transcripts showed a stronger accumulation in the light but a weaker accumulation in the dark in ΔkaiABC cells in comparison to the wild type. In addition, we found a considerable overlap with microarray data obtained for hik31 and sigE mutants. These genes are known to be important regulators of cell metabolism in the dark.
2014-06-18 | GSE58572 | GEO
Project description:The model cyanobacterium Synechocystis sp. PCC 6803 was used for a systematic survey on the number and types of antisense (as)RNAs. A tiled microarray was constructed with probes for both strands of the genes or intergenic spacers with candidate transcripts predicted by an algorithm and an equally sized and distributed control set. The resulting 102,739 individual probes cover an accumulated length of 1,441,146 nt or about 40% of the total chromosome sequence of Synechocystis 6803. Hybridization of this array with total RNA isolated from cultures raised under different growth conditions identified a high number of transcripts from intergenic spacers and in antisense orientation to known genes (natural cis-asRNAs). Extrapolated to the whole genome, around 10% of all open reading frames in Synechocystis 6803 may have a corresponding asRNA, suggesting a much more important role of chromosomally encoded asRNAs in bacteria then anticipated so far. Keywords: stress response 4 RNA hybridizations, 2 DNA controls. The raw data from the DNA hybridizations are in the GSE14410_DNA_1.txt and GSE14410_DNA_2.txt files.
2010-05-14 | E-GEOD-14410 | biostudies-arrayexpress
Project description:In contrast to Synechococcus elongatus PCC 7942, which has been the model cyanobacterium for the study of the prokaryotic circadian clock for more than 20 years, only few data exist on the circadian behaviour of the widely used cyanobacterium Synechocystis sp. PCC 6803. The standard kaiABC operon present in this organism was shown to encode a functional KaiC protein which interacts with KaiA, similar to the Synechococcus elongatus PCC 7942 clock. Inactivation of this operon in Synechocystis sp. PCC 6803 resulted in a mutant with a strong growth defect in light-dark cycles, which was even more pronounced when glucose was added to the growth medium. In addition, mutants showed a bleaching phenotype. No effects were detected in mutant cells grown in constant light. Microarray experiments performed with cells grown for one day in a light-dark cycle revealed many differentially regulated genes with known functions in the M-NM-^TkaiABC mutant in comparison to the wild type. Most interestingly, we identified genes like the gene encoding the cyanobacterial phytochrome Cph1 and the light repressed protein LrtA as well as several hypothetical open reading frames with a complete inverse behaviour in the light cycle. These transcripts showed a stronger accumulation in the light but a weaker accumulation in the dark in M-NM-^TkaiABC cells in comparison to the wild type. In addition, we found a considerable overlap with microarray data obtained for hik31 and sigE mutants. These genes are known to be important regulators of cell metabolism in the dark. Three timepoints with two samples (WT and Mutant). Two replicates for each timepoint/sample. RNA hybridization.
2014-06-18 | E-GEOD-58572 | biostudies-arrayexpress
Project description:We treated a unicellular photosynthetic model cyanobacterium, Synechocystis sp. PCC 6803, with five different types of abiotic stresses including nitrogen starvation, iron deficiency, cold, heat, and darkness, and systematically identified proteins showing stress-induced differential expression and/or redistribution between the membrane and the soluble compartments using a quantitative proteomics approach.
2023-03-20 | PXD035771 | Pride