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  2. Investigating the mechanism of METTL16-dependent m6A modification regulating the SAMD11 protein signaling pathway to inhibit thyroid cancer phenotypes

Investigating the mechanism of METTL16-dependent m6A modification regulating the SAMD11 protein signaling pathway to inhibit thyroid cancer phenotypes

  • Int J Biol Macromol. 2024 Nov;280(Pt 4):136176. doi: 10.1016/j.ijbiomac.2024.136176.
Yingming Liu 1 Gang Wu 1 Xingru Tao 1 Jiayu Dong 1 Tiefeng Shi 1 Chenlei Shi 2
Affiliations

Affiliations

  • 1 The Fourth Department of General Surgery, the Second Affiliated Hospital, Harbin Medical University, 246 Xuefu Road, Harbin 150001, Heilongjiang Province, China.
  • 2 The Fourth Department of General Surgery, the Second Affiliated Hospital, Harbin Medical University, 246 Xuefu Road, Harbin 150001, Heilongjiang Province, China. Electronic address: chenleishi1982@163.com.
Abstract

Despite substantial progress in the research and treatment of thyroid Cancer, many areas in the molecular mechanisms remain to be explored. This study aims to comprehensively and deeply investigate the key role and potential molecular mechanisms of RNA methyltransferase METTL16 in the development and progression of thyroid Cancer. Firstly, through bioinformatics analysis of tumor databases, we examined the correlation between METTL16 expression levels and patient prognosis. Subsequently, immunofluorescence experiments on clinical patient tissue microarrays were conducted to validate these findings. We also compared the nucleic acid and protein expression levels of METTL16 in different cell lines. By integrating bioinformatics analysis of public databases, laboratory Molecular Biology experiments, and comprehensive data analysis, we revealed the high expression of METTL16 in clinical tissues and thyroid Cancer cells, and confirmed its role in regulating the biological characteristics of cell proliferation, migration, and invasion in thyroid Cancer through in vitro and in vivo experiments. Additionally, we identified SAMD11 as a target gene of METTL16 and further validated its importance and potential regulatory pathways in thyroid Cancer.

Keywords

Bioinformatics analysis; METTL16; SAMD11 protein; Thyroid cancer.

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