Stress response in the yajL (DJ-1 homolog) mutant of Escherichia coli
Ontology highlight
ABSTRACT:
ORGANISM(S): Escherichia coli
SUBMITTER: gilbert richarme
PROVIDER: E-GEOD-42702 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:YajL is the most closely related Escherichia coli homolog of Parkinsonism-associated protein DJ-1, a protein with a yet undefined function in the oxidative stress response. YajL protects cells against oxidative stress-induced protein aggregation and functions as a covalent chaperone for the thiol proteome, including FeS proteins. To clarify the cellular responses to YajL deficiency, transcriptional profiling of the yajL mutant was performed. As compared to the parental strain, the yajL mutant overexpressed genes coding for chaperones, proteases, chemical chaperone transporters, superoxide dismutases, catalases, peroxidases, components of thioredoxin and glutaredoxin systems, iron transporters, ferritins and FeS cluster biogenesis enzymes, DNA-repair proteins, RNA chaperones and small regulatory RNAs. It also overexpressed the RNA polymerase stress sigma factors sigma S (multiple stresses) and sigma 32 (protein stress) and activated the OxyR and SoxRS oxidative stress transcriptional regulators, which together trigger the global stress response. The yajL mutant also overexpressed genes involved in septation and adopted a shorter and rounder shape characteristic of stressed bacteria. Biochemical experiments showed that this upregulation of many stress genes resulted in increased expression of stress proteins and improved biochemical function. Thus, protein defects resulting from the yajL mutation trigger the onset of a robust and global stress response in a prokaryotic model of DJ-1-associated Parkinsonism.
2012-12-04 | GSE42702 | GEO
Project description:Parkinson disease (PD) is a major neurodegenerative condition with several rare Mendelian forms. Oxidative stress and mitochondrial function have been implicated in the pathogenesis of PD but the molecular mechanism(s) involved in the degeneration of specific neuronal groups remains unclear. DJ-1 mutations are one cause of recessive parkinsonism, but this gene is also involved in cancer by promoting Ras signaling and suppressing PTEN-induced apoptosis. The specific function of DJ-1 is unclear, although it is responsive to oxidative stress and may play a role in the maintenance of mitochondria. Here we show that DJ-1 associates with specific RNA targets in cells and in the brain including mitochondrial genes, genes involved in glutathione metabolism and members of the PTEN/PI3K cascade. Pathogenic recessive mutants are deficient in this activity. We show that DJ-1 is sufficient for RNA binding at nanomolar concentrations in vitro and that there is some RNA sequence specificity to the association. Oxidative stress causes DJ-1 to dissociate from RNA. Using in vitro and in vivo models of mild oxidative stress, we show that DJ-1 normally suppresses translation in normal circumstances but allows translation after oxidative stress. We tested the hypothesis that these specific RNA targets are responsible for sensitivity to stress by exposing knockout flies to glutathione synthesis inhibitors and saw the predicted increased sensitivity in vivo. These data implicate a single mechanism for the pleiotropic effects of DJ-1 in different model systems, namely that the protein binds and regulates specific groups of RNA targets in an oxidationdependent manner. Furthermore, these results suggest how a small protein might both be an upstream regulator of processes important in parkinsonism and be a modifier of cancer-related processes. Keywords: Immunoprecipitated RNA comparisons
2008-03-14 | GSE8632 | GEO
Project description:RNA binding activity of the recessive parkinsonism protein DJ-1
| PRJNA101815 | ENA
Project description:Liebal2012 - B.subtilis sigB proteolysis model
An important transcription factor of B.subsilis is sigma B
. Liebal et al. (2012) have performed experiments in B.subtilis wild type and mutant straits to test and validate a mathematical model of the dynamics of sigma B
activity. The following three models were constructed and their ability to fit the experimental data were tested. 1) Transcription inhibition model (MODEL1212180000), 2) sigma B
proteolysis model (MODEL1302080000) and 3) Post-transcriptional instability model (MODEL1302080001). This model corresponds to the sigma B
proteolysis model (MODEL1302080000).
This model is described in the article:
Proteolysis of beta-galactosidase following SigmaB activation in Bacillus subtilis.
Liebal UW, Sappa PK, Millat T, Steil L, Homuth G, Völker U, Wolkenhauer O.
2012 Jun;8(6):1806-14.
Abstract:
In Bacillus subtilis the σ(B) mediated general stress response provides protection against various environmental and energy related stress conditions. To better understand the general stress response, we need to explore the mechanism by which the components interact. Here, we performed experiments in B. subtilis wild type and mutant strains to test and validate a mathematical model of the dynamics of σ(B) activity. In the mutant strain BSA115, σ(B) transcription is inducible by the addition of IPTG and negative control of σ(B) activity by the anti-sigma factor RsbW is absent. In contrast to our expectations of a continuous β-galactosidase activity from a ctc::lacZ fusion, we observed a transient activity in the mutant. To explain this experimental finding, we constructed mathematical models reflecting different hypotheses regarding the regulation of σ(B) and β-galactosidase dynamics. Only the model assuming instability of either ctc::lacZ mRNA or β-galactosidase protein is able to reproduce the experiments in silico. Subsequent Northern blot experiments revealed stable high-level ctc::lacZ mRNA concentrations after the induction of the σ(B) response. Therefore, we conclude that protein instability following σ(B) activation is the most likely explanation for the experimental observations. Our results thus support the idea that B. subtilis increases the cytoplasmic proteolytic degradation to adapt the proteome in face of environmental challenges following activation of the general stress response. The findings also have practical implications for the analysis of stress response dynamics using lacZ reporter gene fusions, a frequently used strategy for the σ(B) response.
Figure 3a of the reference article has been reproduced. beta-galactosidase (lacz in model) activity at different concentrations of IPTG (100M, 200M and 1000M) has been reproduced. SED-ML (Simulation Experiment Description Markup Language) file is available for this model (see curation tab).
This model is hosted on BioModels Database
and identified
by: MODEL1302080000
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2013-06-06 | BIOMD0000000460 | BioModels
Project description:Liebal2012 - B.subtilis transcription inhibition model
An important transcription factor of B.subsilis is sigma B
. Liebal et al. (2012) have performed experiments in B.subtilis wild type and mutant straits to test and validate a mathematical model of the dynamics of sigma B
activity. The following three models are constructed and their ability to fit the experimental data were tested. 1) Transcription inhibition model (MODEL1212180000), 2) sigma B
proteolysis model (MODEL1302080000) and 3) Post-transcriptional instability model (MODEL1302080001). This model corresponds to the Transcription inhibition model (MODEL1212180000).
This model is described in the article:
Proteolysis of beta-galactosidase following SigmaB activation in Bacillus subtilis.
Liebal UW, Sappa PK, Millat T, Steil L, Homuth G, Völker U, Wolkenhauer O.
2012 Jun;8(6):1806-14.
Abstract:
In Bacillus subtilis the σ(B) mediated general stress response provides protection against various environmental and energy related stress conditions. To better understand the general stress response, we need to explore the mechanism by which the components interact. Here, we performed experiments in B. subtilis wild type and mutant strains to test and validate a mathematical model of the dynamics of σ(B) activity. In the mutant strain BSA115, σ(B) transcription is inducible by the addition of IPTG and negative control of σ(B) activity by the anti-sigma factor RsbW is absent. In contrast to our expectations of a continuous β-galactosidase activity from a ctc::lacZ fusion, we observed a transient activity in the mutant. To explain this experimental finding, we constructed mathematical models reflecting different hypotheses regarding the regulation of σ(B) and β-galactosidase dynamics. Only the model assuming instability of either ctc::lacZ mRNA or β-galactosidase protein is able to reproduce the experiments in silico. Subsequent Northern blot experiments revealed stable high-level ctc::lacZ mRNA concentrations after the induction of the σ(B) response. Therefore, we conclude that protein instability following σ(B) activation is the most likely explanation for the experimental observations. Our results thus support the idea that B. subtilis increases the cytoplasmic proteolytic degradation to adapt the proteome in face of environmental challenges following activation of the general stress response. The findings also have practical implications for the analysis of stress response dynamics using lacZ reporter gene fusions, a frequently used strategy for the σ(B) response.
Figure 3a of the reference article has been reproduced. beta-galactosidase (lacz in model) activity at different concentrations of IPTG (100M, 200M and 1000M) has been reproduced. SED-ML (Simulation Experiment Description Markup Language) file is available for this model (see curation tab).
This model is hosted on BioModels Database
and identified
by: MODEL1212180000
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2013-06-06 | BIOMD0000000461 | BioModels
Project description:Liebal2012 - B.subtilis post-transcription instability model
An important transcription factor of B.subsilis is sigma B
. Liebal et al. (2012) have performed experiments in B.subtilis wild type and mutant straits to test and validate a mathematical model of the dynamics of sigma B
activity. The following three models were constructed and their ability to fit the experimental data were tested. 1) Transcription inhibition model (MODEL1212180000), 2) sigma B
proteolysis model (MODEL1302080000) and 3) Post-transcriptional instability model (MODEL1302080001). This model corresponds to the post-transcription instability model (MODEL1302080001).
This model is described in the article:
Proteolysis of beta-galactosidase following SigmaB activation in Bacillus subtilis.
Liebal UW, Sappa PK, Millat T, Steil L, Homuth G, Völker U, Wolkenhauer O.
2012 Jun;8(6):1806-14.
Abstract:
In Bacillus subtilis the σ(B) mediated general stress response provides protection against various environmental and energy related stress conditions. To better understand the general stress response, we need to explore the mechanism by which the components interact. Here, we performed experiments in B. subtilis wild type and mutant strains to test and validate a mathematical model of the dynamics of σ(B) activity. In the mutant strain BSA115, σ(B) transcription is inducible by the addition of IPTG and negative control of σ(B) activity by the anti-sigma factor RsbW is absent. In contrast to our expectations of a continuous β-galactosidase activity from a ctc::lacZ fusion, we observed a transient activity in the mutant. To explain this experimental finding, we constructed mathematical models reflecting different hypotheses regarding the regulation of σ(B) and β-galactosidase dynamics. Only the model assuming instability of either ctc::lacZ mRNA or β-galactosidase protein is able to reproduce the experiments in silico. Subsequent Northern blot experiments revealed stable high-level ctc::lacZ mRNA concentrations after the induction of the σ(B) response. Therefore, we conclude that protein instability following σ(B) activation is the most likely explanation for the experimental observations. Our results thus support the idea that B. subtilis increases the cytoplasmic proteolytic degradation to adapt the proteome in face of environmental challenges following activation of the general stress response. The findings also have practical implications for the analysis of stress response dynamics using lacZ reporter gene fusions, a frequently used strategy for the σ(B) response.
Figure 3a of the reference article has been reproduced. beta-galactosidase (lacz in model) activity at different concentrations of IPTG (100M, 200M and 1000M) has been reproduced. SED-ML (Simulation Experiment Description Markup Language) file is available for this model (see curation tab).
This model is hosted on BioModels Database
and identified
by: MODEL1302080001
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2013-06-06 | BIOMD0000000459 | BioModels
Project description:Excessive reactive oxygen species (ROS) underlie the pathogenesis of multiple disorders. Nevertheless, physiological levels of ROS are required for intracellular signalling and maintenance of metabolic homeostasis. DJ-1, a Parkinson’s disease-associated protein, is involved in the regulation of oxidative stress. Our aim in this study was to determine the effect of DJ-1 disruption on gene expression in muscle cells. To this end, we transfected a murine myoblast cell line, C2C12 cells with siRNA targeting DJ-1.
2014-11-07 | GSE63051 | GEO
Project description:Oxidative stress is a contingent trigger of Parkinson`s disease (PD). DJ-1, a protein involved in oxidative stress sensing, gained major attention when mutations in its gene were identified in PD patients. Although the study of the corresponding protein function is still in its infancy, a crucial oxidation sensor at a conserved cysteine was linked to the disease. Inspired by inhibition studies with a bacterial homolog of DJ-1 we here screen several amino-epoxycylcohexenones and identify a chemical probe that exhibits specificity for the human protein in various cell lines. The probe selectively labeled the oxidation sensor via nucleophilic attack of the conserved cysteine onto the epoxide ring. This covalent addition occurred only in the reduced state. Whole proteome studies in HeLa, A549 and SHSY5Y cell lines confirmed strong enrichment of solely reduced DJ-1 which was diminished by increasing oxidative stress. The probe thus facilitates the first selective in situ monitoring of DJ-1 in its reduced state and enables studying the function of this important biomarker in dependence of oxidative stress.
2018-07-17 | PXD009444 | Pride
Project description:To study the expression profile of ECF sigma factor PG1660 mutant under anaerobic conditions and hydrogen peroxide stress conditions compared to the wild-type W83 by using DNA-microarray. The role of ECF sigma factor PG1660 involved in oxidative stress was published Yuetan Dou, Devon Osbourne, Rachelle McKenzie, Hansel M Fletcher. (2010) Involvement of extracytoplasmic function sigma factors in virulence regulation in Porphyromonas gingivalis W83. FEMS Microbiology Letter, 312(1):24-32.
2017-09-14 | GSE103838 | GEO
Project description:our data showed that the absence of DJ-1 had no adverse effects on proliferation, differentiation, and oxidative stress responses of human stem cells such as hNSCs and hMSCs as well as hVECs, suggesting that loss of DJ-1 function alone is insufficient to disrupt the homeostasis of these human cells. In addition, we found that CHCHD2 was upregulated upon DJ-1 deficiency, which may account for the absence of severe phenotypes in various types of DJ-1-deficient cells. For the first time, our study revealed the 'see-saw' expression pattern of two Parkinson’s disease-associated genes, providing potential clues for understanding the mechanisms of DJ-1- and CHCHD2-associated Parkinson’s disease.
2019-09-05 | GSE136834 | GEO