The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Epigenetic mechanisms in mammals
Open accessAbstract
Enzymatic modifications of cytosine bases and histone proteins in the nucleosome core provide heritable epigenetic information in vertebrates that is not encoded in the nucleotide sequence of the cell. Chromatin replication during S phase of the cell cycle offers a window of opportunity for these enzymes and accessory factors to load onto the newly synthesized DNA and robustly propagate all the modification marks, as found in the parental cells. Failure to maintain correct epigenetic information leads to catastrophic consequences for the cell, including incorrect gene expression and apoptosis [ 1 – 3 ]. Importantly, cytosine methylation in mammalian cells is faithfully preserved between successive cell divisions. The preservation of DNA methylation during cell division is catalyzed by DNA (cytosine-5) methyltransferases (DNMTs). The major maintenance DNMT enzyme is DNA (cytosine-5) methyltransferase 1 (DNMT1) and has strong preference for hemimethylated DNA in vitro [ 4 ]. Previous studies demonstrate that DNMT1 is stably associated with newly replicated origin in the mammalian cells [ 5 – 7 ]. Therefore, it is plausible that DNMT1 can methylate the newly synthesized daughter strands soon after replication by reading the methylation pattern of the parental strand [ 8 ]. Similarly, there is strong evidence supporting the heritability of histone modifications in multicellular organisms. The strongest evidence links histone H3K27 and H3K4 modification catalyzed by the Polycomb group (PcG) and trithorax group (trxG) to mitotic inheritance of lineage-specific gene expression patterns [ 9 ]. Although some components of trxG and PcG possess histone methyltransferase activities for H3, other components of trxG and PcG interpret those histone marks. These two protein complexes are shown to be critical regulators of numerous developmental genes. They silence or activate a gene via binding to specific regions of a gene and post-translationally modifying the histones. Some recent works have also demonstrated that PcG-mediated gene silencing may involve non-coding RNA and RNAi machinery [ 9 ]. Thus, the model of histone modification inheritance is more complex than DNA methylation due to replication-independent histone deposition on DNA [ 10 ]. Nevertheless, there is strong speculation that a large number of histone modifications may follow epigenetic inheritance mechanisms. Recent advances in sequencing technology, higher computational capacity and highly specific antibodies against histone modifications have resulted in greater understanding of epigenetic marks in the context of mammalian genome. The flurry of research activity has resulted in several very excellent publications [ 11 – 13 ]. In this review, we have attempted to give readers a general overview of the epigenetic mechanisms in mammals by discussing histone and DNA modifications along with the involvement of RNA in both developmental and biological context.
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
Chromatin modifications and their function
Kouzarides, T. (2007) · Cell · doi:10.1016/j.cell.2007.02.005 · Cited by 10,883
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
DNA methylation patterns and epigenetic memory
Bird, A. (2002) · Genes & Development · doi:10.1101/gad.947102 · Cited by 7,124
A bivalent chromatin structure marks key developmental genes in embryonic stem cells
Bernstein, B. E., Mikkelsen, T. S., Xie, X., Kamal, M., Huebert, D. J., Cuff, J., Fry, B., Meissner, A., Wernig, M., Plath, K., et al. (2006) · Cell · doi:10.1016/j.cell.2006.02.041 · Cited by 5,361
Epigenetic differences arise during the lifetime of monozygotic twins
Fraga, M. F., Ballestar, E., Paz, M. F., Ropero, S., Setien, F., Ballestar, M. L., Heine-Suñer, D., Cigudosa, J. C., Urioste, M., Benitez, J., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500398102 · Cited by 3,602
Epigenetic Reprogramming in Mammalian Development
Reik, W., Dean, W., & Walter, J. (2001) · Science · doi:10.1126/science.1063443 · Cited by 3,078
Genome-scale DNA methylation maps of pluripotent and differentiated cells
Meissner, A., Mikkelsen, T. S., Gu, H., Wernig, M., Hanna, J., Sivachenko, A., Zhang, X., Bernstein, B. E., Nusbaum, C., Jaffe, D. B., et al. (2008) · Nature · doi:10.1038/nature07107 · Cited by 2,536
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
Methylation of a CTCF-dependent boundary controls imprinted expression of the Igf2 gene
Bell, A. C., & Felsenfeld, G. (2000) · Nature · doi:10.1038/35013100 · Cited by 1,746
Schlesinger, Y., Straussman, R., Keshet, I., Farkash, S., Hecht, M., Zimmerman, J., Eden, E., Yakhini, Z., Ben-Shushan, E., Reubinoff, B. E., et al. (2007) · Nature Genetics · doi:10.1038/ng1950 · Cited by 1,226
Transcription of IAP endogenous retroviruses is constrained by cytosine methylation
Walsh, C. P., Chaillet, J. R., & Bestor, T. H. (1998) · Nature Genetics · doi:10.1038/2413 · Cited by 1,105
Whole-Genome Analysis of Histone H3 Lysine 4 and Lysine 27 Methylation in Human Embryonic Stem Cells
Pan, G., Tian, S., Nie, J., Yang, C., Ruotti, V., Wei, H., Jonsdottir, G. A., Stewart, R., & Thomson, J. A. (2007) · Cell Stem Cell · doi:10.1016/j.stem.2007.08.003 · Cited by 711
Mobile elements and mammalian genome evolution
Deininger, P. L., Moran, J. V., Batzer, M. A., & Kazazian, H. H. (2003) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2003.10.013 · Cited by 479
Cited by
Epigenetics and gene expression
Gibney, E. R., & Nolan, C. M. (2010) · Heredity · doi:10.1038/hdy.2010.54 · Cited by 1,109
Transcriptional and epigenetic mechanisms of addiction
Robison, A. J., & Nestler, E. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3111 · Cited by 993
Yim, I. S., Tanner Stapleton, L. R., Guardino, C. M., Hahn-Holbrook, J., & Dunkel Schetter, C. (2015) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-101414-020426 · Cited by 749
Developmental origins of metabolic disease: Life course and intergenerational perspectives
Godfrey, K. M., Gluckman, P. D., & Hanson, M. A. (2010) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2009.12.008 · Cited by 485
Genetics and epigenetics of eating disorders
Bulik, C., Yilmaz, Z., & HArdaway, A. (2015) · Advances in Genomics and Genetics · doi:10.2147/agg.s55776 · Cited by 278
Metadata
- Authors
- Kim, J. K., Samaranayake, M., & Pradhan, S.
- Venue
- Cellular and Molecular Life Sciences
- Published
- 2008-11-03
- Volume
- 66
- Issue
- 4
- Pages
- 596-612
- ISSN
- 1420-682X (ISSN-L)
- 1420-9071
- OpenAlex
- W2079784129
- Cited by
- 498
- References
- 13
- FWCI
- 11.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.