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Cited by 333

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Forkhead Homeobox Type O Transcription Factors in the Responses to Oxidative Stress

Open access
Storz, Peter·2011·Antioxidants & Redox Signaling

Abstract

Reactive oxygen species (ROS) and cellular oxidative stress are involved in many physiological and pathophysiological processes, including cellular and organismal aging, migration, proliferation, senescence or death of normal and cancer cells, and stress resistance of stem cells. The forkhead homeobox type O (FOXO) transcription factors FOXO1, FOXO3a, and FOXO4 are critical mediators of the cellular responses to oxidative stress and have been implicated in many of the above ROS-regulated processes. In cancer cells they converge oxidative stress signaling to cell cycle arrest and cell death or promote a motile phenotype. Dependent on their posttranslational modifications FOXOs can also actively regulate the detoxification of cells from ROS and promote stress resistance. Thus, FOXO transcription factors are of vital importance in processes regulating tumor survival or progression, stem cell maintenance, age-related pathological processes, and lifespan extension.

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Metadata

Authors
Storz, P.
Venue
Antioxidants & Redox Signaling
Published
2011-02-15
Volume
14
Issue
4
Pages
593-605
ISSN
  • 1523-0864 (ISSN-L)
  • 1557-7716
OpenAlex
W2087168227
Cited by
333
References
25
FWCI
7.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Forkhead Homeobox Type O Transcription Factors in the Responses to Oxidative Stress. https://app.cochat.ai/papers/10.1089/ars.2010.3405
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Storz, P. (2011). Forkhead Homeobox Type O Transcription Factors in the Responses to Oxidative Stress. Antioxidants & Redox Signaling. https://doi.org/10.1089/ars.2010.3405

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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.