The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
EUKARYOTIC CYTOSINE METHYLTRANSFERASES
Abstract
▪ Abstract Large-genome eukaryotes use heritable cytosine methylation to silence promoters, especially those associated with transposons and imprinted genes. Cytosine methylation does not reinforce or replace ancestral gene regulation pathways but instead endows methylated genomes with the ability to repress specific promoters in a manner that is buffered against changes in the internal and external environment. Recent studies have shown that the targeting of de novo methylation depends on multiple inputs; these include the interaction of repeated sequences, local states of histone lysine methylation, small RNAs and components of the RNAi pathway, and divergent and catalytically inert cytosine methyltransferase homologues that have acquired regulatory roles. There are multiple families of DNA (cytosine-5) methyltransferases in eukaryotes, and each family appears to be controlled by different regulatory inputs. Sequence-specific DNA-binding proteins, which regulate most aspects of gene expression, do not appear to be involved in the establishment or maintenance of genomic methylation patterns.
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Cites
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2
Amir, R. E., Van den Veyver, I. B., Wan, M., Tran, C. Q., Francke, U., & Zoghbi, H. Y. (1999) · Nature Genetics · doi:10.1038/13810 · Cited by 4,990
Targeted mutation of the DNA methyltransferase gene results in embryonic lethality
Li, E., Bestor, T. H., & Jaenisch, R. (1992) · Cell · doi:10.1016/0092-8674(92)90611-f · Cited by 3,984
Self-citationInduction of tumors in mice by genomic hypomethylation
Gaudet, F., Hodgson, J. G., Eden, A., Jackson-Grusby, L., Dausman, J., Gray, J. W., Leonhardt, H., & Jaenisch, R. (2003) · Science · doi:10.1126/science.1083558 · Cited by 1,499
De novo DNA cytosine methyltransferase activities in mouse embryonic stem cells
Lei, H., Oh, S. P., Okano, M., Jüttermann, R., Goss, K. A., Jaenisch, R., & Li, E. (1996) · Development · doi:10.1242/dev.122.10.3195 · Cited by 816
On the mechanism of inhibition of DNA-cytosine methyltransferases by cytosine analogs
Santi, D. V., Garrett, C. E., & Barr, P. J. (1983) · Cell · doi:10.1016/0092-8674(83)90327-6 · Cited by 401
Schübeler, D., Lorincz, M. C., Cimbora, D. M., Telling, A., Feng, Y.-Q., Bouhassira, E. E., & Groudine, M. (2000) · Molecular and Cellular Biology · doi:10.1128/mcb.20.24.9103-9112.2000 · Cited by 165
Cited by
Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1
Tahiliani, M., Koh, K. P., Shen, Y., Pastor, W. A., Bandukwala, H., Brudno, Y., Agarwal, S., Iyer, L. M., Liu, D. R., Aravind, L., et al. (2009) · Science · doi:10.1126/science.1170116 · Cited by 5,836
Tet proteins can convert 5-methylcytosine to 5-formylcytosine and 5-carboxylcytosine
Ito, S., Shen, L., Dai, Q., Wu, S. C., Collins, L. B., Swenberg, J. A., He, C., & Zhang, Y. (2011) · Science · doi:10.1126/science.1210597 · Cited by 3,451
Genomic DNA methylation: the mark and its mediators.
Klose, R. J., & Bird, A. P. (2006) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2005.12.008 · Cited by 2,501
Epigenetics: A landscape takes shape
Goldberg, A. D., Allis, C. D., & Bernstein, E. (2007) · Cell · doi:10.1016/j.cell.2007.02.006 · Cited by 2,466
Bernstein, B. E., Meissner, A., & Lander, E. S. (2007) · Cell · doi:10.1016/j.cell.2007.01.033 · Cited by 2,086
Metadata
- Authors
- Goll, M. G., & Bestor, T. H.
- Venue
- Annual Review of Biochemistry
- Publisher
- Annual Reviews
- Published
- 2005-06-01
- Volume
- 74
- Issue
- 1
- Pages
- 481-514
- ISSN
- 0066-4154 (ISSN-L)
- 1545-4509
- OpenAlex
- W2124049725
- Cited by
- 2,063
- References
- 7
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Goll, M. G., & Bestor, T. H. (2005). EUKARYOTIC CYTOSINE METHYLTRANSFERASES. Annual Review of Biochemistry. https://doi.org/10.1146/annurev.biochem.74.010904.153721
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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