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OGDHL Is a Modifier of AKT-Dependent Signaling and NF-κB Function

Overview of attention for article published in PLOS ONE, November 2012
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Title
OGDHL Is a Modifier of AKT-Dependent Signaling and NF-κB Function
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048770
Pubmed ID
Authors

Tanusree Sen, Nilkantha Sen, Maartje G. Noordhuis, Rajani Ravi, T-C Wu, Patrick K. Ha, David Sidransky, Mohammad Obaidul Hoque

Abstract

Oxoglutarate dehydrogenase (OGDH) is the first and rate-limiting component of the multi-enzyme OGDH complex (OGDHC) whose malfunction is associated with neuro-degeneration. The essential role of this complex is in the degradation of glucose and glutamate and the OGDHL gene (one component of OGDHC) is down-regulated by promoter hypermethylation in many different cancer types. These properties suggest a potential growth modulating role of OGDHL in cancer; however, the molecular mechanism through which OGDHL exerts its growth modulating function has not been elucidated.Here, we report that restoration of OGDHL expression in cervical cancer cells lacking endogenous OGDHL expression suppressed cell proliferation, invasion and soft agar colony formation in vitro. Knockdown of OGDHL expression in cervical cancer cells expressing endogenous OGDHL had the opposite effect. Forced expression of OGDHL increased the production of reactive oxygen species (ROS) leading to apoptosis through caspase 3 mediated down-regulation of the AKT signaling cascade and decreased NF-κB phosphorylation. Conversely, silencing OGDHL stimulated the signaling pathway via increased AKT phosphorylation. Moreover, the addition of caspase 3 or ROS inhibitors in the presence of OGDHL increased AKT signaling and cervical cancer cell proliferation.Taken together, these data suggest that inactivation of OGDHL can contribute to cervical tumorigenesis via activation of the AKT signaling pathway and thus support it as an important anti-proliferative gene in cervical cancer.

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Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Researcher 8 19%
Student > Master 6 14%
Student > Bachelor 4 10%
Other 2 5%
Other 6 14%
Unknown 8 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Biochemistry, Genetics and Molecular Biology 7 17%
Medicine and Dentistry 7 17%
Neuroscience 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 3 7%
Unknown 10 24%