JOURNAL ARTICLE
A Methyl‐Engineered DNAzyme for Endogenous Alkyltransferase Monitoring and Self‐Sufficient Gene Regulation.
Published In: Small Methods, 2025, v. 9, n. 6. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: He, Yuqiu; Wang Qing; Zhang, Qingqing; Wang, Yifei; Jiang, Yuqian; Zhao, Qiu; Liu, Xiaoqing; Wang, Fuan 3 of 3
Abstract
The on‐demand gene regulation is crucial for extensively exploring specific gene functions and developing personalized gene therapeutics, which shows great promise in precision medicines. Although some nucleic acid‐based gene regulatory tools (antisense oligonucleotides and small interfering RNAs) are devised for achieving on‐demand activation, the introduction of chemical modifications may cause undesired side effects, thereby impairing the gene regulatory efficacy. Herein, a methyl‐engineered DNAzyme (MeDz) is developed for the visualization of endogenous alkyltransferase (AGT) and the simultaneous self‐sufficiently on‐demand gene regulation. The catalytic activity of DNAzyme can be efficiently blocked by O6‐methylguanine (O6MeG) modification and specifically restored via the AGT‐mediated DNA‐repairing pathway. This simply designed MeDz is demonstrated to reveal AGT of varying expression levels in different cells, opening the possibility to explore the AGT‐related biological processes. Moreover, the AGT‐guided MeDz exhibits cell‐selective regulation on the human early growth response‐1 (EGR‐1) gene, with efficient gene repression in breast cancer cells and low effectiveness in normal cells. The proposed MeDz offers an attractive strategy for on‐demand gene regulation, displaying great potential in biomedical applications. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Small Methods. 2025/06, Vol. 9, Issue 6, p1
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:2366-9608
- DOI:10.1002/smtd.202401160
- Accession Number:186462059
- Copyright Statement:Copyright of Small Methods is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.