The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
SIRT7 links H3K18 deacetylation to maintenance of oncogenic transformation
Open accessAbstract
Sirtuin proteins regulate diverse cellular pathways that influence genomic stability, metabolism and ageing. SIRT7 is a mammalian sirtuin whose biochemical activity, molecular targets and physiological functions have been unclear. Here we show that SIRT7 is an NAD+-dependent H3K18Ac (acetylated lysine 18 of histone H3) deacetylase that stabilizes the transformed state of cancer cells. Genome-wide binding studies reveal that SIRT7 binds to promoters of a specific set of gene targets, where it deacetylates H3K18Ac and promotes transcriptional repression. The spectrum of SIRT7 target genes is defined in part by its interaction with the cancer-associated E26 transformed specific (ETS) transcription factor ELK4, and comprises numerous genes with links to tumour suppression. Notably, selective hypoacetylation of H3K18Ac has been linked to oncogenic transformation, and in patients is associated with aggressive tumour phenotypes and poor prognosis. We find that deacetylation of H3K18Ac by SIRT7 is necessary for maintaining essential features of human cancer cells, including anchorage-independent growth and escape from contact inhibition. Moreover, SIRT7 is necessary for a global hypoacetylation of H3K18Ac associated with cellular transformation by the viral oncoprotein E1A. Finally, SIRT7 depletion markedly reduces the tumorigenicity of human cancer cell xenografts in mice. Together, our work establishes SIRT7 as a highly selective H3K18Ac deacetylase and demonstrates a pivotal role for SIRT7 in chromatin regulation, cellular transformation programs and tumour formation in vivo.
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
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
Self-citationDAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
Rapamycin fed late in life extends lifespan in genetically heterogeneous mice
Harrison, D. E., Strong, R., Sharp, Z. D., Nelson, J. F., Astle, C. M., Flurkey, K., Nadon, N. L., Wilkinson, J. E., Frenkel, K., Carter, C. S., et al. (2009) · Nature · doi:10.1038/nature08221 · Cited by 3,766
Rappsilber, J., Ishihama, Y., & Mann, M. (2003) · Analytical Chemistry · doi:10.1021/ac026117i · Cited by 2,644
Combinatorial patterns of histone acetylations and methylations in the human genome
Wang, Z., Zang, C., Rosenfeld, J. A., Schones, D. E., Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Peng, W., Zhang, M. Q., et al. (2008) · Nature Genetics · doi:10.1038/ng.154 · Cited by 2,331
Mammalian Sirtuins: Biological Insights and Disease Relevance
Haigis, M. C., & Sinclair, D. A. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev.pathol.4.110807.092250 · Cited by 2,085
Michishita, E., Park, J. Y., Burneskis, J. M., Barrett, J. C., & Horikawa, I. (2005) · Molecular Biology of the Cell · doi:10.1091/mbc.e05-01-0033 · Cited by 1,364
Evidence for a Novel Gene Associated With Low Tumor Metastatic Potential
Steeg, P. S., Bevilacqua, G., Kopper, L., Thorgeirsson, U. P., Talmadge, J. E., Liotta, L. A., & Sobel, M. E. (1988) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/80.3.200 · Cited by 1,300
SIRT6 is a histone H3 lysine 9 deacetylase that modulates telomeric chromatin
Michishita, E., McCord, R. A., Berber, E., Kioi, M., Padilla-Nash, H., Damian, M., Cheung, P., Kusumoto, R., Kawahara, T. L. A., Barrett, J. C., et al. (2008) · Nature · doi:10.1038/nature06736 · Cited by 1,111 · cited 1×
“In vitro histone deacetylation assays were performed as previously described 28 using acetylated peptides or poly-nucleosomes purified from HeLa cells as substrate.”
Self-citation
Cited by
The growing landscape of lysine acetylation links metabolism and cell signalling
Choudhary, C., Weinert, B. T., Nishida, Y., Verdin, E., & Mann, M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3841 · Cited by 1,324
NAD+ metabolism: pathophysiologic mechanisms and therapeutic potential
Xie, N., Zhang, L., Gao, W., Huang, C., Huber, P. E., Zhou, X., Li, C., Shen, G., & Zou, B. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00311-7 · Cited by 1,052
Modulation of cellular processes by histone and non-histone protein acetylation
Shvedunova, M., & Akhtar, A. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00441-y · Cited by 936
The world of protein acetylation
Drazic, A., Myklebust, L. M., Ree, R., & Arnesen, T. (2016) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2016.06.007 · Cited by 804
The NAD metabolome — a key determinant of cancer cell biology
Chiarugi, A., Dölle, C., Felici, R., & Ziegler, M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3340 · Cited by 639
Metadata
- Authors
- Barber, M. F., Michishita-Kioi, E., Xi, Y., Tasselli, L., Kioi, M., Moqtaderi, Z., Tennen, R. I., Paredes, S., Young, N. L., Chen, K., Struhl, K., Garcia, B. A., Gozani, O., Li, W., & Chua, K. F.
- Venue
- Nature
- Published
- 2012-05-06
- Volume
- 487
- Issue
- 7405
- Pages
- 114-118
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2104886883
- Cited by
- 620
- References
- 43
- FWCI
- 20.96
- Type
- journal article
- Language
- en
- Open access
- green
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: SIRT7 links H3K18 deacetylation to maintenance of oncogenic transformation. https://app.cochat.ai/papers/10.1038/nature11043
- The paper
- Barber, M. F., Michishita-Kioi, E., Xi, Y., Tasselli, L., Kioi, M., Moqtaderi, Z., Tennen, R. I., Paredes, S., Young, N. L., Chen, K., Struhl, K., Garcia, B. A., Gozani, O., Li, W., & Chua, K. F. (2012). SIRT7 links H3K18 deacetylation to maintenance of oncogenic transformation. Nature. https://doi.org/10.1038/nature11043
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.
