The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A Myc Network Accounts for Similarities between Embryonic Stem and Cancer Cell Transcription Programs
Open accessAbstract
SUMMARY c-Myc (Myc) is an important transcriptional regulator in embryonic stem (ES) cells, somatic cell reprogramming, and cancer. Here, we identify a Myc-centered regulatory network in ES cells by combining protein-protein and protein-DNA interaction studies, and show that Myc interacts with the NuA4 complex, a regulator of ES cell identity. In combination with regulatory network information, we define three ES cell modules (Core, Polycomb, and Myc), and show that the modules are functionally separable, illustrating that the overall ES cell transcription program is comprised of distinct units. With these modules as an analytical tool, we have reassessed the hypothesis linking an ES cell signature with cancer or cancer stem cells. We find that the Myc module, independent of the Core module, is active in various cancers and predicts cancer outcome. The apparent similarity of cancer and ES cell signatures reflects in large part the pervasive nature of Myc regulatory network.
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BackgroundThe novel ATM-related protein TRRAP is an essential cofactor for the c-Myc and E2F oncoproteins
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Cited by
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Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
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Self-citationRNAi screen identifies Brd4 as a therapeutic target in acute myeloid leukaemia
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The Hippo transducer TAZ confers cancer stem cell-related traits on breast cancer cells
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Metadata
- Authors
- Kim, J., Woo, A. J., Chu, J., Snow, J. W., Fujiwara, Y., Kim, C. G., Cantor, A. B., & Orkin, S. H.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 143
- Issue
- 2
- Pages
- 313-324
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2027127452
- Cited by
- 669
- References
- 10
- FWCI
- 24.34
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.