The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Non-coding RNAs as regulators in epigenetics
Open accessAbstract
Epigenetics is a discipline that studies heritable changes in gene expression that do not involve altering the DNA sequence. Over the past decade, researchers have shown that epigenetic regulation plays a momentous role in cell growth, differentiation, autoimmune diseases, and cancer. The main epigenetic mechanisms include the well-understood phenomenon of DNA methylation, histone modifications, and regulation by non-coding RNAs, a mode of regulation that has only been identified relatively recently and is an area of intensive ongoing investigation. It is generally known that the majority of human transcripts are not translated but a large number of them nonetheless serve vital functions. Non-coding RNAs are a cluster of RNAs that do not encode functional proteins and were originally considered to merely regulate gene expression at the post-transcriptional level. However, taken together, a wide variety of recent studies have suggested that miRNAs, piRNAs, endogenous siRNAs, and long non-coding RNAs are the most common regulatory RNAs, and, significantly, there is a growing body of evidence that regulatory non-coding RNAs play an important role in epigenetic control. Therefore, these non-coding RNAs (ncRNAs) highlight the prominent role of RNA in the regulation of gene expression. Herein, we summarize recent research developments with the purpose of coming to a better understanding of non-coding RNAs and their mechanisms of action in cells, thus gaining a preliminary understanding that non-coding RNAs feed back into an epigenetic regulatory network.
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1 retracted
Induction of DNA methylation and gene silencing by short interfering RNAs in human cells
Kawasaki, H., & Taira, K. (2004) · Nature · doi:10.1038/nature02889 · Cited by 367
RetractedMicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Jenuwein, T., & Allis, C. D. (2001) · Science · doi:10.1126/science.1063127 · Cited by 9,756
DNA methylation patterns and epigenetic memory
Bird, A. (2002) · Genes & Development · doi:10.1101/gad.947102 · Cited by 7,124
Okano, M., Bell, D. W., Haber, D. A., & Li, E. (1999) · Cell · doi:10.1016/s0092-8674(00)81656-6 · Cited by 6,143
Long non-coding RNAs: insights into functions
Mercer, T. R., Dinger, M. E., & Mattick, J. S. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2521 · Cited by 5,654
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
Origins and Mechanisms of miRNAs and siRNAs
Carthew, R. W., & Sontheimer, E. J. (2009) · Cell · doi:10.1016/j.cell.2009.01.035 · Cited by 5,018
Molecular Mechanisms of Long Noncoding RNAs
Wang, K. C., & Chang, H. Y. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.08.018 · Cited by 4,396
Cited by
Histone Modifications and Non-Coding RNAs: Mutual Epigenetic Regulation and Role in Pathogenesis
Bure, I. V., Nemtsova, M. V., & Kuznetsova, E. B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23105801 · Cited by 253
Targeting histone deacetylases for cancer therapy: Trends and challenges
Liang, T., Wang, F., Elhassan, R. M., Cheng, Y., Tang, X., Chen, W., Fang, H., & Hou, X. (2023) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2023.02.007 · Cited by 222
Physical exercise and epigenetic modifications in skeletal muscle
Widmann, M., Nieß, A. M., & Munz, B. (2019) · Sports Medicine · doi:10.1007/s40279-019-01070-4 · Cited by 165
Mossink, B., Negwer, M., Schubert, D., & Nadif Kasri, N. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-020-03714-5 · Cited by 114
The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review
Webb, L. M., Phillips, K. E., Ho, M. C., Veldic, M., & Blacker, C. J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21030826 · Cited by 84
Metadata
- Authors
- Wei, J.-W., Huang, K., Yang, C., & Kang, C.-S.
- Venue
- Oncology Reports
- Publisher
- Spandidos Publications
- Published
- 2016-11-08
- Volume
- 37
- Issue
- 1
- Pages
- 3-9
- ISSN
- 1021-335X (ISSN-L)
- 1791-2431
- OpenAlex
- W2552680036
- Cited by
- 744
- References
- 78
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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