期刊
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
卷 20, 期 -, 页码 6578-6585出版社
ELSEVIER
DOI: 10.1016/j.csbj.2022.11.045
关键词
RNA; Cancer biology; Diagnosis; Therapy
资金
- National Key Research and Development Program of China [2022YFC2601800]
- National Natural Science Foundation of China [32161143017, 82173833, 82173126, 81973343]
- International Cooperation Project of the Science and Technology Planning Project of Guangdong Province, China [2021A0505030029]
- Open Program of Shenzhen Bay Laboratory [SZBL202009051006]
- Fundamental Research Funds for the Central Universities (Sun Yat-sen University) [19ykzd24, 19ykpy130]
- Guangdong Provincial Key Laboratory of Chiral Molecule and Drug Discovery [2019B030301005]
- Guangdong Basic and Applied Basic Research Foundation [2020A1515010290]
- Shenzhen Bay Scholars Program
Post-transcriptional modifications, such as m1A modification, play a crucial role in regulating the behavior and function of RNAs. m1A modification, regulated by writers, erasers, and readers, is reversible and found in various types of RNA. It affects RNA processing, structure, and function, and has been shown to be involved in tumorigenesis.
Post-transcriptional modifications in RNAs regulate their biological behaviors and functions. N1methyladenosine (m1A), which is dynamically regulated by writers, erasers and readers, has been found as a reversible modification in tRNA, mRNA, rRNA and long non-coding RNA (lncRNA). m1A modification has impacts on the RNA processing, structure and functions of targets. Increasing studies reveal the critical roles of m1A modification and its regulators in tumorigenesis. Due to the positive relevance between m1A and cancer development, targeting m1A modification and m1A-related regulators has been of attention. In this review, we summarized the current understanding of m1A in RNAs, covering the modulation of m1A modification in cancer biology, as well as the possibility of targeting m1A modification as a potential target for cancer diagnosis and therapy. CO 2022 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据