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Updated: Jul 4, 2025

Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors
Published on: August 5, 2022
DNMT3L inhibits hepatocellular carcinoma progression through DNA methylation of CDO1: insights from big data to basic
Xiaokai Yan1, Yao Qi2,3, Xinyue Yao4
1Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China. yxk11011@163.com.
Background:
DNMT3L is a crucial DNA methylation regulatory factor, yet its function and mechanism in hepatocellular carcinoma (HCC) remain poorly understood. Bioinformatics-based big data analysis has increasingly gained significance in cancer research. Therefore, this study aims to elucidate the role of DNMT3L in HCC by integrating big data analysis with experimental validation.
Methods:
Dozens of HCC datasets were collected to analyze the expression of DNMT3L and its relationship with prognostic indicators, and were used for molecular regulatory relationship evaluation. The effects of DNMT3L on the malignant phenotypes of hepatoma cells were confirmed in vitro and in vivo. The regulatory mechanisms of DNMT3L were explored through MSP, western blot, and dual-luciferase assays.
Results:
DNMT3L was found to be downregulated in HCC tissues and associated with better prognosis. Overexpression of DNMT3L inhibits cell proliferation and metastasis. Additionally, CDO1 was identified as a target gene of DNMT3L and also exhibits anti-cancer effects. DNMT3L upregulates CDO1 expression by competitively inhibiting DNMT3A-mediated methylation of CDO1 promoter.
Conclusions:
Our study revealed the role and epi-transcriptomic regulatory mechanism of DNMT3L in HCC, and underscored the essential role and applicability of big data analysis in elucidating complex biological processes.
Insights
DNA methyltransferase 3-like (DNMT3L) is downregulated in liver cancer (HCC), inhibiting proliferation and metastasis. DNMT3L upregulates CDO1, revealing its anti-cancer role and the power of big data in cancer research.
Area of Science:
- Oncology
- Epigenetics
- Bioinformatics
Background:
- Hepatocellular carcinoma (HCC) pathogenesis involves complex regulatory factors.
- DNA methyltransferase 3-like (DNMT3L) is a key epigenetic regulator with an unclear role in HCC.
- Big data analysis is increasingly vital for understanding cancer mechanisms.
Purpose of the Study:
- To investigate the function and mechanism of DNMT3L in hepatocellular carcinoma (HCC).
- To integrate big data analysis with experimental validation to elucidate DNMT3L's role.
- To explore the epi-transcriptomic regulatory mechanisms of DNMT3L in HCC.
Main Methods:
- Analysis of multiple HCC datasets to assess DNMT3L expression and prognostic correlations.
- In vitro and in vivo experiments to evaluate DNMT3L's impact on hepatoma cell phenotypes.
- Molecular assays including methylation-specific PCR (MSP), western blot, and dual-luciferase assays to explore regulatory pathways.
Main Results:
- DNMT3L expression is downregulated in HCC tissues and correlates with improved patient prognosis.
- Overexpression of DNMT3L suppresses hepatocellular carcinoma cell proliferation and metastasis.
- CDO1 identified as a DNMT3L target gene; DNMT3L enhances CDO1 expression by inhibiting DNMT3A-mediated promoter methylation, conferring anti-cancer effects.
Conclusions:
- DNMT3L plays a significant tumor-suppressive role in HCC through epi-transcriptomic regulation.
- The study highlights the essential role of big data analytics in uncovering complex biological processes in cancer.
- DNMT3L and its regulatory pathway represent potential therapeutic targets for HCC.
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