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Cited by 542

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Repression of gene expression by oxidative stress

Open access
Yannick Morel, Robert Barouki·1999·Biochemical Journal

Abstract

Gene expression is modulated by both physiological signals (hormones, cytokines, etc.) and environmental stimuli (physical parameters, xenobiotics, etc.). Oxidative stress appears to be a key pleiotropic modulator which may be involved in either pathway. Indeed, reactive oxygen species (ROS) have been described as second messengers for several growth factors and cytokines, but have also been shown to rise following cellular insults such as xenobiotic metabolism or enzymic deficiency. Extensive studies on the induction of stress-response genes by oxidative stress have been reported. In contrast, owing to the historical focus on gene induction, less attention has been paid to gene repression by ROS. However, a growing number of studies have shown that moderate (i.e. non-cytotoxic) oxidative stress specifically down-regulates the expression of various genes. In this review, we describe the alteration of several physiological functions resulting from oxidative-stress-mediated inhibition of gene transcription. We will then focus on the repressive oxidative modulation of various transcription factors elicited by ROS.

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OpenAlex · 10.1042/0264-6021:3420481

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Metadata

Authors
Morel, Y., & Barouki, R.
Venue
Biochemical Journal
Publisher
Portland Press
Published
1999-09-05
Volume
342
Issue
3
Pages
481-481
ISSN
0264-6021 (ISSN-L)
OpenAlex
W2045338351
Cited by
542
References
6
FWCI
9.13
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Repression of gene expression by oxidative stress. https://app.cochat.ai/papers/10.1042/0264-6021:3420481
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Morel, Y., & Barouki, R. (1999). Repression of gene expression by oxidative stress. Biochemical Journal. https://doi.org/10.1042/0264-6021%3A3420481

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.