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A Proteomic and Transcriptomic Approach Reveals New Insight into b-methylthiolation of Escherichia coli Ribosomal Protein S12

ABSTRACT: Not available

OTHER RELATED OMICS DATASETS IN: PRJNA126219

INSTRUMENT(S): instrument model

ORGANISM(S): Escherichia Coli

SUBMITTER: Attila Csordas

PROVIDER: PRD000504 | Pride | 2012-07-26

REPOSITORIES: Pride

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			Action	DRS
	PRIDE_Exp_Complete_Ac_18211.pride.mgf.gz	Mgf
	PRIDE_Exp_Complete_Ac_18211.pride.mztab.gz	Mztab
	PRIDE_Exp_Complete_Ac_18211.xml.gz	Xml
	PRIDE_Exp_Complete_Ac_18212.pride.mgf.gz	Mgf
	PRIDE_Exp_Complete_Ac_18212.pride.mztab.gz	Mztab

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Publications

A proteomic and transcriptomic approach reveals new insight into beta-methylthiolation of Escherichia coli ribosomal protein S12.

Strader Michael Brad MB Costantino Nina N Elkins Christopher A CA Chen Cai Yun CY Patel Isha I Makusky Anthony J AJ Choy John S JS Court Donald L DL Markey Sanford P SP Kowalak Jeffrey A JA

Molecular & cellular proteomics : MCP 20101217 3

β-methylthiolation is a novel post-translational modification mapping to a universally conserved Asp 88 of the bacterial ribosomal protein S12. This S12 specific modification has been identified on orthologs from multiple bacterial species. The origin and functional significance was investigated with both a proteomic strategy to identify candidate S12 interactors and expression microarrays to search for phenotypes that result from targeted gene knockouts of select candidates. Utilizing an endoge ...[more]

PMID: 21169565

Similar Datasets

A proteomic and transcriptomic approach reveals new insight into beta-methylthiolation of Escherichia coli ribosomal protein S12.

Project description:β-methylthiolation is a novel post-translational modification mapping to a universally conserved Asp 88 of the bacterial ribosomal protein S12. This S12 specific modification has been identified on orthologs from multiple bacterial species. The origin and functional significance was investigated with both a proteomic strategy to identify candidate S12 interactors and expression microarrays to search for phenotypes that result from targeted gene knockouts of select candidates. Utilizing an endogenous recombinant E. coli S12 protein with an affinity tag as bait, mass spectrometric analysis identified candidate S12 binding partners including RimO (previously shown to be required for this post-translational modification) and YcaO, a conserved protein of unknown function. Transcriptomic analysis of bacterial strains with deleted genes for RimO and YcaO identified an overlapping transcriptional phenotype suggesting that YcaO and RimO likely share a common function. As a follow up, quantitative mass spectrometry additionally indicated that both proteins dramatically impacted the modification status of S12. Collectively, these results indicate that the YcaO protein is involved in β-methylthiolation of S12 and its absence impairs the ability of RimO to modify S12. Additionally, the proteomic data from this study provides direct evidence that the E. coli specific β-methylthiolation likely occurs when S12 is assembled as part of a ribosomal subunit.

| S-EPMC3047162 | biostudies-literature

Ribosomal Hibernation-Associated Factors in Escherichia coli.

Project description:Bacteria convert active 70S ribosomes to inactive 100S ribosomes to survive under various stress conditions. This state, in which the ribosome loses its translational activity, is known as ribosomal hibernation. In gammaproteobacteria such as Escherichia coli, ribosome modulation factor and hibernation-promoting factor are involved in forming 100S ribosomes. The expression of ribosome modulation factor is regulated by (p)ppGpp (which is induced by amino acid starvation), cAMP-CRP (which is stimulated by reduced metabolic energy), and transcription factors involved in biofilm formation. This indicates that the formation of 100S ribosomes is an important strategy for bacterial survival under various stress conditions. In recent years, the structures of 100S ribosomes from various bacteria have been reported, enhancing our understanding of the 100S ribosome. Here, we present previous findings on the 100S ribosome and related proteins and describe the stress-response pathways involved in ribosomal hibernation.

| S-EPMC8778775 | biostudies-literature

Global proteomic profiling of enterohemorrhagic Escherichia coli strain 8624

Project description:Not available

2012-07-26 | PRD000502 | Pride

A systems biology approach sheds new light on Escherichia coli acid resistance.

Project description:In order to develop an infection, diarrhogenic Escherichia coli has to pass through the stomach, where the pH can be as low as 1. Mechanisms that enable E. coli to survive in low pH are thus potentially relevant for pathogenicity. Four acid response systems involved in reducing the concentration of intracellular protons have been identified so far. However, it is still unclear to what extent the regulation of other important cellular functions may be required for survival in acid conditions. Here, we have combined molecular and phenotypic analysis of wild-type and mutant strains with computational network inference to identify molecular pathways underlying E. coli response to mild and strong acid conditions. The interpretative model we have developed led to the hypothesis that a complex transcriptional programme, dependent on the two-component system regulator OmpR and involving a switch between aerobic and anaerobic metabolism, may be key for survival. Experimental validation has shown that the OmpR is responsible for controlling a sizeable component of the transcriptional programme to acid exposure. Moreover, we found that a ΔompR strain was unable to mount any transcriptional response to acid exposure and had one of the strongest acid sensitive phenotype observed.

| S-EPMC3177180 | biostudies-literature

Proteomic analysis of the intestinal epithelial cell response to enteropathogenic Escherichia coli

Project description:Not available

2012-07-26 | PRD000461 | Pride

Rates of gene conversions between Escherichia coli ribosomal operons.

Project description:Due to their universal presence and high sequence conservation, ribosomal RNA (rRNA) sequences are used widely in phylogenetics for inferring evolutionary relationships between microbes and in metagenomics for analyzing the composition of microbial communities. Most microbial genomes encode multiple copies of rRNA genes to supply cells with sufficient capacity for protein synthesis. These copies typically undergo concerted evolution that keeps their sequences identical, or nearly so, due to gene conversion, a type of intragenomic recombination that changes one copy of a homologous sequence to exactly match another. Widely varying rates of rRNA gene conversion have previously been estimated by comparative genomics methods and using genetic reporter assays. To more directly measure rates of rRNA intragenomic recombination, we sequenced the seven Escherichia coli rRNA operons in 15 lineages that were evolved for ∼13,750 generations with frequent single-cell bottlenecks that reduce the effects of selection. We identified 38 gene conversion events and estimated an overall rate of intragenomic recombination within the 16S and 23S genes between rRNA copies of 3.6 × 10-4 per genome per generation or 8.6 × 10-6 per rRNA operon per homologous donor operon per generation. This rate varied only slightly from random expectations at different sites within the rRNA genes and between rRNA operons located at different positions in the genome. Our accurate estimate of the rate of rRNA gene conversions fills a gap in our quantitative understanding of how ribosomal sequences and other multicopy elements diversify and homogenize during microbial genome evolution.

| S-EPMC8022953 | biostudies-literature

Comprehensive Functional Analysis of Escherichia coli Ribosomal RNA Methyltransferases.

Project description:Ribosomal RNAs in all organisms are methylated. The functional role of the majority of modified nucleotides is unknown. We systematically questioned the influence of rRNA methylation in Escherichia coli on a number of characteristics of bacterial cells with the help of a set of rRNA methyltransferase (MT) gene knockout strains from the Keio collection. Analysis of ribosomal subunits sedimentation profiles of the knockout strains revealed a surprisingly small number of rRNA MT that significantly affected ribosome assembly. Accumulation of the assembly intermediates was observed only for the rlmE knockout strain whose growth was retarded most significantly among other rRNA MT knockout strains. Accumulation of the 17S rRNA precursor was observed for rsmA(ksgA) knockout cells as well as for cells devoid of functional rsmB and rlmC genes. Significant differences were found among the WT and the majority of rRNA MT knockout strains in their ability to sustain exogenous protein overexpression. While the majority of the rRNA MT knockout strains supported suboptimal reporter gene expression, the strain devoid of the rsmF gene demonstrated a moderate increase in the yield of ectopic gene expression. Comparative 2D protein gel analysis of rRNA MT knockout strains revealed only minor perturbations of the proteome.

| S-EPMC7056703 | biostudies-literature

Metabolomic and transcriptomic stress response of Escherichia coli.

Project description:Environmental fluctuations lead to a rapid adjustment of the physiology of Escherichia coli, necessitating changes on every level of the underlying cellular and molecular network. Thus far, the majority of global analyses of E. coli stress responses have been limited to just one level, gene expression. Here, we incorporate the metabolite composition together with gene expression data to provide a more comprehensive insight on system level stress adjustments by describing detailed time-resolved E. coli response to five different perturbations (cold, heat, oxidative stress, lactose diauxie, and stationary phase). The metabolite response is more specific as compared with the general response observed on the transcript level and is reflected by much higher specificity during the early stress adaptation phase and when comparing the stationary phase response to other perturbations. Despite these differences, the response on both levels still follows the same dynamics and general strategy of energy conservation as reflected by rapid decrease of central carbon metabolism intermediates coinciding with downregulation of genes related to cell growth. Application of co-clustering and canonical correlation analysis on combined metabolite and transcript data identified a number of significant condition-dependent associations between metabolites and transcripts. The results confirm and extend existing models about co-regulation between gene expression and metabolites demonstrating the power of integrated systems oriented analysis.

| S-EPMC2890322 | biostudies-literature

A proteome chip approach reveals new DNA damage recognition activities in Escherichia coli.

Project description:Despite the fact that many genomes have been decoded, proteome chips comprising individually purified proteins have been reported only for budding yeast, mainly because of the complexity and difficulty of high-throughput protein purification. To facilitate proteomics studies in prokaryotes, we have developed a high-throughput protein purification protocol that allowed us to purify 4,256 proteins encoded by the Escherichia coli K12 strain within 10 h. The purified proteins were then spotted onto glass slides to create E. coli proteome chips. We used these chips to develop assays for identifying proteins involved in the recognition of potential base damage in DNA. By using a group of DNA probes, each containing a mismatched base pair or an abasic site, we found a small number of proteins that could recognize each type of probe with high affinity and specificity. We further evaluated two of these proteins, YbaZ and YbcN, by biochemical analyses. The assembly of libraries containing DNA probes with specific modifications and the availability of E. coli proteome chips have the potential to reveal important interactions between proteins and nucleic acids that are time-consuming and difficult to detect using other techniques.

| S-EPMC2576280 | biostudies-literature

Functional architecture of Escherichia coli: new insights provided by a natural decomposition approach.

Project description:BackgroundPrevious studies have used different methods in an effort to extract the modular organization of transcriptional regulatory networks. However, these approaches are not natural, as they try to cluster strongly connected genes into a module or locate known pleiotropic transcription factors in lower hierarchical layers. Here, we unravel the transcriptional regulatory network of Escherichia coli by separating it into its key elements, thus revealing its natural organization. We also present a mathematical criterion, based on the topological features of the transcriptional regulatory network, to classify the network elements into one of two possible classes: hierarchical or modular genes.ResultsWe found that modular genes are clustered into physiologically correlated groups validated by a statistical analysis of the enrichment of the functional classes. Hierarchical genes encode transcription factors responsible for coordinating module responses based on general interest signals. Hierarchical elements correlate highly with the previously studied global regulators, suggesting that this could be the first mathematical method to identify global regulators. We identified a new element in transcriptional regulatory networks never described before: intermodular genes. These are structural genes that integrate, at the promoter level, signals coming from different modules, and therefore from different physiological responses. Using the concept of pleiotropy, we have reconstructed the hierarchy of the network and discuss the role of feedforward motifs in shaping the hierarchical backbone of the transcriptional regulatory network.ConclusionsThis study sheds new light on the design principles underpinning the organization of transcriptional regulatory networks, showing a novel nonpyramidal architecture composed of independent modules globally governed by hierarchical transcription factors, whose responses are integrated by intermodular genes.

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