The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Metabolic control of methylation and acetylation
Open accessAbstract
Methylation and acetylation of DNA and histone proteins are the chemical basis for epigenetics. From bacteria to humans, methylation and acetylation are sensitive to cellular metabolic status. Modification rates depend on the availability of one-carbon and two-carbon substrates (S-adenosylmethionine, acetyl-CoA, and in bacteria also acetyl-phosphate). In addition, they are sensitive to demodification enzyme cofactors (α-ketoglutarate, NAD+) and structural analog metabolites that function as epigenetic enzyme inhibitors (e.g., S-adenosylhomocysteine, 2-hydroxyglutarate). Methylation and acetylation likely initially evolved to tailor protein activities in microbes to their metabolic milieu. While the extracellular environment of mammals is more tightly controlled, the combined impact of nutrient abundance and metabolic enzyme expression impacts epigenetics in mammals sufficiently to drive important biological outcomes such as stem cell fate and cancer.
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
1 retracted
Age related changes in NAD+ metabolism oxidative stress and Sirt1 activity in wistar rats
Braidy, N., Guillemin, G. J., Mansour, H., Chan-Ling, T., Poljak, A., & Grant, R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019194 · Cited by 594
RetractedCancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
Self-citationXu, W., Yang, H., Liu, Y., Yang, Y., Wang, P., Kim, S.-H., Ito, S., Yang, C., Wang, P., Xiao, M.-T., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2010.12.014 · Cited by 2,875
Figueroa, M. E., Abdel-Wahab, O., Lu, C., Ward, P. S., Patel, J., Shih, A., Li, Y., Bhagwat, N., Vasanthakumar, A., Fernandez, H. F., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.11.015 · Cited by 2,766
ATP-citrate lyase links cellular metabolism to histone acetylation
Wellen, K. E., Hatzivassiliou, G., Sachdeva, U. M., Bui, T. V., Cross, J. R., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1164097 · Cited by 2,298
Self-citationKaeberlein, M., McVey, M., & Guarente, L. (1999) · Genes & Development · doi:10.1101/gad.13.19.2570 · Cited by 2,253
Ward, P. S., Patel, J., Wise, D. R., Abdel-Wahab, O., Bennett, B. D., Coller, H. A., Cross, J. R., Fantin, V. R., Hedvat, C. V., Perl, A. E., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.01.020 · Cited by 2,020
Self-citationIDH1 mutation is sufficient to establish the glioma hypermethylator phenotype
Turcan, S., Rohle, D., Goenka, A., Walsh, L. A., Fang, F., Yilmaz, E., Campos, C., Fabius, A. W. M., Lu, C., Ward, P. S., et al. (2012) · Nature · doi:10.1038/nature10866 · Cited by 1,974
Cantó, C., Houtkooper, R. H., Pirinen, E., Youn, D. Y., Oosterveer, M. H., Cen, Y., Fernandez-Marcos, P. J., Yamamoto, H., Andreux, P. A., Cettour-Rose, P., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.04.022 · Cited by 1,238
Xiao, M., Yang, H., Xu, W., Ma, S., Lin, H., Zhu, H., Liu, L., Liu, Y., Yang, C., Xu, Y., et al. (2012) · Genes & Development · doi:10.1101/gad.191056.112 · Cited by 1,188
Cited by
One-Carbon Metabolism in Health and Disease
Ducker, G. S., & Rabinowitz, J. D. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.009 · Cited by 2,239
Self-citationMacrophage Immunometabolism: Where Are We (Going)?
Van den Bossche, J., O’Neill, L. A., & Menon, D. (2017) · Trends in Immunology · doi:10.1016/j.it.2017.03.001 · Cited by 1,163
Metabolic Control of Longevity
López-Otín, C., Galluzzi, L., Freije, J. M. P., Madeo, F., & Kroemer, G. (2016) · Cell · doi:10.1016/j.cell.2016.07.031 · Cited by 753
Metabolism of Amino Acids in Cancer
Wei, Z., Liu, X., Cheng, C., Yu, W., & Yi, P. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.603837 · Cited by 429
Spatiotemporal Control of Acetyl-CoA Metabolism in Chromatin Regulation
Sivanand, S., Viney, I., & Wellen, K. E. (2018) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2017.11.004 · Cited by 357
Self-citation
Metadata
- Authors
- Su, X., Wellen, K. E., & Rabinowitz, J. D.
- Venue
- Current Opinion in Chemical Biology
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 30
- Pages
- 52-60
- ISSN
- 1367-5931 (ISSN-L)
- OpenAlex
- W2181681557
- Cited by
- 295
- References
- 24
- FWCI
- 1.73
- 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: Metabolic control of methylation and acetylation. https://app.cochat.ai/papers/10.1016/j.cbpa.2015.10.030
- The paper
- Su, X., Wellen, K. E., & Rabinowitz, J. D. (2016). Metabolic control of methylation and acetylation. Current Opinion in Chemical Biology. https://doi.org/10.1016/j.cbpa.2015.10.030
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.