Article
Global translational responses to oxidative stress impact upon multiple levels of protein synthesis.
Faculty of Life Sciences, University of Manchester, Manchester M13 9PT, United Kingdom.
Journal of Biological Chemistry (impact factor:
4.77).
10/2006;
281(39):29011-21.
DOI:10.1074/jbc.M601545200
pp.29011-21
Source: PubMed
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Citations (0)
- Cited In (13)
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Article: Global regulation of gene expression by OxyR in an important human opportunistic pathogen.
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ABSTRACT: Most bacteria control oxidative stress through the H(2)O(2)-responsive transactivator OxyR, a member of the LTTR family (LysR Type Transcriptional Regulators), which activates the expression of defensive genes such as those encoding catalases, alkyl hydroperoxide reductases and superoxide dismutases. In the human opportunistic pathogen Pseudomonas aeruginosa, OxyR positively regulates expression of the oxidative stress response genes katA, katB, ahpB and ahpCF. To identify additional targets of OxyR in P. aeruginosa PAO1, we performed chromatin immunoprecipitation in combination with whole genome tiling array analyses (ChIP-chip). We detected 56 genes including all the previously identified defensive genes and a battery of novel direct targets of OxyR. Electrophoretic mobility shift assays (EMSAs) for selected newly identified targets indicated that ∼70% of those were bound by purified oxidized OxyR and their regulation was confirmed by quantitative real-time polymerase chain reaction. Furthermore, a thioredoxin system was identified to enzymatically reduce OxyR under oxidative stress. Functional classification analysis showed that OxyR controls a core regulon of oxidative stress defensive genes, and other genes involved in regulation of iron homeostasis (pvdS), quorum-sensing (rsaL), protein synthesis (rpsL) and oxidative phosphorylation (cyoA and snr1). Collectively, our results indicate that OxyR is involved in oxidative stress defense and regulates other aspects of cellular metabolism as well.Nucleic Acids Research 01/2012; 40(10):4320-33. · 8.03 Impact Factor -
Article: Translational regulation in nutrigenomics.
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ABSTRACT: The emergence of genome-wide analysis to interrogate cellular DNA, RNA, and protein content has revolutionized the study of the control network that mediates cellular homeostasis. Nutrigenomics addresses the effect of nutrients on gene expression, which provides a basis for understanding the biological activity of dietary components. Translation of mRNAs represents the last step of genetic flow and primarily defines the proteome. Translational regulation is thus critical for gene expression, in particular, under nutrient excess or deficiency. Until recently, it was unclear how the global effects of translational control are influenced by nutrient signaling. An emerging concept of translational reprogramming addresses how to maintain the expression of specific proteins during pathophysiological conditions by translation of selective mRNAs. Here we describe recent advances in our understanding of translational control, nutrient signaling, and their dysregulation in aging and cancer. The mechanistic understanding of translational regulation in response to different nutrient conditions may help identify potential dietary and therapeutic targets to improve human health.Advances in nutrition (Bethesda, Md.). 11/2011; 2(6):511-9. -
Article: Protein expression regulation under oxidative stress.
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ABSTRACT: Oxidative stress is known to affect both translation and protein turnover, but very few large scale studies describe protein expression under stress. We measure protein concentrations in Saccharomyces cerevisiae over the course of 2 h in response to a mild oxidative stress induced by diamide, providing detailed time-resolved information for 815 proteins, with additional data for another ~1,100 proteins. For the majority of proteins, we discover major differences between the global transcript and protein response. Although mRNA levels often return to baseline 1 h after treatment, protein concentrations continue to change. Integrating our data with features of translation and protein degradation, we are able to predict expression patterns for 41% of the proteins in the core data set. Predictive features include, among others, targeting by RNA-binding proteins (Lhp1 and Khd1), RNA secondary structures, RNA half-life, and translation efficiency under unperturbed conditions and in response to oxidative reagents, but not chaperone binding. We are able to both describe general dynamics of protein concentration changes and suggest possible regulatory mechanisms for individual proteins.Molecular & Cellular Proteomics 09/2011; 10(12):M111.009217. · 7.40 Impact Factor
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Keywords
average mRNA transit time
candidate mRNAs
common response
Gcn2 protein kinase
Gcn2-independent manner
Global inhibition
microarray analysis
monosome-associated mRNA pools
mRNA store
mRNAs encoding stress protective molecules
oxidative stress increases
oxidative stress induced
Polysome analysis
post-initiation inhibition
protein synthesis
ribosomal transit times
slower rate
translation elongation
translation initiation dependent
yeast Saccharomyces cerevisiae