The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
NANOG Metabolically Reprograms Tumor-Initiating Stem-like Cells through Tumorigenic Changes in Oxidative Phosphorylation and Fatty Acid Metabolism
Open accessAbstract
SUMMARY Stem cell markers such as NANOG have been implicated in various cancers; however, the functional contribution of NANOG to cancer pathogenesis has remained unclear. Here, we show that Toll-like receptor 4 (TLR4) signaling phosphorylates E2F1 to transactivate NANOG. Down-regulation of Nanog reduces tumor progression. NANOG ChIP-seq identified genes associated with NANOG-dependent mitochondrial metabolic pathways to maintain tumor-initiating stem-like cells (TICs). The causal roles of NANOG in mitochondrial metabolic reprogramming occurred through the inhibition of oxidative phosphorylation (OXPHOS) with decreased production of mitochondrial ROS and activation of fatty acid oxidation (FAO), which was required for self-renewal and drug resistance. Restoration of OXPHOS activity and inhibition of FAO rendered TICs susceptible to a standard care chemotherapy drug, sorafenib. This study provides insights into the mechanisms of NANOG-mediated generation of TICs, tumorigenesis and chemo-resistance due to metabolic reprograming of mitochondrial functions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Promotion of Hepatocellular Carcinoma by the Intestinal Microbiota and TLR4
Dapito, D. H., Mencin, A., Gwak, G.-Y., Pradere, J.-P., Jang, M.-K., Mederacke, I., Caviglia, J. M., Khiabanian, H., Adeyemi, A., Bataller, R., et al. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.007 · Cited by 1,346
Machida, K., Tsukamoto, H., Mkrtchyan, H., Duan, L., Dynnyk, A., Liu, H. M., Asahina, K., Govindarajan, S., Ray, R., Ou, J.-H. J., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807390106 · Cited by 223
Self-citation
Cited by
Stem cell programs in cancer initiation, progression, and therapy resistance
Huang, T., Song, X., Xu, D., Tiek, D., Goenka, A., Wu, B., Sastry, N., Hu, B., & Cheng, S.-Y. (2020) · Theranostics · doi:10.7150/thno.41648 · Cited by 524
Mechanisms of drug resistance in HCC
Ladd, A. D., Duarte, S., Sahin, I., & Zarrinpar, A. (2024) · Hepatology · doi:10.1097/hep.0000000000000237 · Cited by 363
Metabolic signatures of cancer cells and stem cells
Intlekofer, A. M., & Finley, L. W. S. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0032-0 · Cited by 322
The role of mitochondria in stem cell fate and aging
Zhang, H., Menzies, K. J., & Auwerx, J. (2018) · Development · doi:10.1242/dev.143420 · Cited by 284
STAT proteins in cancer: orchestration of metabolism
Li, Y.-J., Zhang, C., Martincuks, A., Herrmann, A., & Yu, H. (2023) · Nature Reviews Cancer · doi:10.1038/s41568-022-00537-3 · Cited by 282
Metadata
- Authors
- Chen, C.-L., Uthaya Kumar, D. B., Punj, V., Xu, J., Sher, L., Tahara, S. M., Hess, S., & Machida, K.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 23
- Issue
- 1
- Pages
- 206-219
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2198606871
- Cited by
- 388
- References
- 2
- FWCI
- 9.10
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: NANOG Metabolically Reprograms Tumor-Initiating Stem-like Cells through Tumorigenic Changes in Oxidative Phosphorylation and Fatty Acid Metabolism. https://app.cochat.ai/papers/10.1016/j.cmet.2015.12.004
- The paper
- Chen, C.-L., Uthaya Kumar, D. B., Punj, V., Xu, J., Sher, L., Tahara, S. M., Hess, S., & Machida, K. (2016). NANOG Metabolically Reprograms Tumor-Initiating Stem-like Cells through Tumorigenic Changes in Oxidative Phosphorylation and Fatty Acid Metabolism. Cell Metabolism. https://doi.org/10.1016/j.cmet.2015.12.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.