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Cited by 200

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Redox sensor CtBP mediates hypoxia-induced tumor cell migration

Open access
Zhang, Qinghong, Wang, Su-Yan, Nottke, Amanda C., Rocheleau, Jonathan V., Piston, David W., Goodman, Richard H.·2006·Proceedings of the National Academy of Sciences

Abstract

The rapid growth and poor vascularization of solid tumors expose cancer cells to hypoxia, which promotes the metastatic phenotype by reducing intercellular adhesion and increasing cell motility and invasiveness. In this study, we found that hypoxia increased free NADH levels in cancer cells, promoting CtBP recruitment to the E-cadherin promoter. This effect was blocked by pyruvate, which prevents the NADH increase. Furthermore, hypoxia repressed E-cadherin gene expression and increased tumor cell migration, effects that were blocked by CtBP knockdown. We propose that CtBP senses levels of free NADH to control expression of cell adhesion genes, thereby promoting tumor cell migration under hypoxic stress.

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Metadata

Authors
Zhang, Q., Wang, S.-Y., Nottke, A. C., Rocheleau, J. V., Piston, D. W., & Goodman, R. H.
Venue
Proceedings of the National Academy of Sciences
Published
2006-06-13
Volume
103
Issue
24
Pages
9029-9033
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2111365962
Cited by
200
References
4
FWCI
3.66
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Redox sensor CtBP mediates hypoxia-induced tumor cell migration. https://app.cochat.ai/papers/10.1073/pnas.0603269103
The paper
Zhang, Q., Wang, S.-Y., Nottke, A. C., Rocheleau, J. V., Piston, D. W., & Goodman, R. H. (2006). Redox sensor CtBP mediates hypoxia-induced tumor cell migration. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0603269103

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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.