PO.MCB07.03 · 分子与细胞生物学

METTL1介导的缬氨酸tRNA m7G修饰驱动胰腺导管腺癌进展

METTL1-mediated m7G modification of valine tRNAs drives pancreatic ductal adenocarcinoma progression

海报缩略图:METTL1介导的缬氨酸tRNA m7G修饰驱动胰腺导管腺癌进展
编号 5962 展板 17 时间 4/21 02:00–05:00 区域 Section 22 主讲 jiabei zhu, PhD
分会场 Mechanisms and Dynamics of Gene Expression
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作者与单位 Authors & Affiliations

jiabei zhu1, Qi Zhang2, Rui Su3, Qiuhui Pan2, Ajay Goel1

1Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA,2Department of Clinical Laboratory, Shanghai Children's Medical Center, Shanghai, China,3Department of Systems Biology, Beckman Research Institute of City of Hope, monrovia, CA

摘要 Abstract

中文摘要
背景:转运RNA(tRNA)修饰在调控密码子特异性mRNA翻译和支持肿瘤细胞适应中发挥关键作用。RNA甲基转移酶METTL1在tRNA上安装N7-甲基鸟苷(m7G)修饰,塑造其密码子使用格局并影响蛋白质合成。然而,METTL1/tRNA轴在胰腺导管腺癌(PDAC)中的功能和机制仍知之甚少。本研究考察METTL1介导的m7G tRNA修饰在PDAC进展及其相关代谢重编程中的作用。 方法:利用来自癌症基因组图谱(TCGA)的转录组数据分析METTL1表达,并在一个独立的PDAC组织队列中通过qRT-PCR进行验证。通过CRISPR/Cas9生成METTL1敲除的PDAC细胞系。通过MTT、集落形成和划痕愈合实验评估细胞增殖和迁移,同时在异种移植模型中评估肿瘤生长。使用斑点印迹法测量整体tRNA m7G水平,并用qRT-PCR定量特定tRNA丰度。多聚核糖体谱分析识别METTL1依赖性翻译靶点,通过Seahorse线粒体压力测试评估线粒体功能。 结果:METTL1在PDAC中显著上调(p < 0.001),并与患者生存不良相关(p < 0.05)。METTL1敲除在体外和体内抑制了PDAC细胞增殖、迁移和肿瘤生长(p < 0.001)。机制上,METTL1缺失降低了m7G修饰缬氨酸tRNA的丰度,尤其是Val-AAC、Val-CAC和Val-TAC(均p < 0.001),导致富含缬氨酸密码子的氧化磷酸化基因翻译减少。因此,METTL1缺乏损害了线粒体呼吸和能量生成。一致地,缬氨酸tRNA表达在PDAC组织中升高(p < 0.01),选择性敲低这些tRNA通过破坏线粒体功能抑制了增殖和迁移(p < 0.001)。在METTL1缺陷细胞中重新导入Val-AAC、Val-CAC和Val-TAC恢复了生长(p < 0.001)和迁移能力(p < 0.01)。 结论:METTL1介导的缬氨酸tRNA m7G修饰通过重编程翻译格局以支持线粒体代谢,促进PDAC进展。这一METTL1-tRNA-线粒体轴代表了一个新的代谢脆弱点,也是胰腺癌中有前景的治疗靶点。
查看英文原文 English abstract
Background: Transfer RNA (tRNA) modifications play a critical role in regulating codon-specific mRNA translation and supporting tumor cell adaptation. The RNA methyltransferase METTL1 installs N7-methylguanosine (m7G) modifications on tRNAs, shaping their codon usage landscape and influencing protein synthesis. However, the function and mechanism of the METTL1/tRNA axis in pancreatic ductal adenocarcinoma (PDAC) remain poorly understood. This study examines the role of METTL1-mediated m7G tRNA modification in the progression of PDAC and its associated metabolic reprogramming. Methods: METTL1 expression was analyzed using transcriptomic data from The Cancer Genome Atlas (TCGA) and validated in an independent PDAC tissue cohort by qRT-PCR. METTL1-knockout PDAC cell lines were generated via CRISPR/Cas9. Cellular proliferation and migration were assessed through MTT, colony formation, and wound-healing assays, while tumor growth was evaluated in xenograft models. Global tRNA m7G levels were measured using dot blot, and qRT-PCR was used to quantify specific tRNA abundances. Polysome profiling identified METTL1-dependent translational targets, and mitochondrial function was assessed by Seahorse Mito Stress testing. Results: METTL1 was significantly upregulated in PDAC (p < 0.001) and correlated with poor patient survival (p < 0.05). METTL1 knockout suppressed PDAC cell proliferation, migration, and tumor growth (p < 0.001) in vitro and in vivo. Mechanistically, METTL1 loss decreased the abundance of m7G-modified valine tRNAs, particularly Val-AAC, Val-CAC, and Val-TAC (all p < 0.001), leading to reduced translation of valine codon-enriched oxidative phosphorylation genes. Consequently, METTL1 deficiency impaired mitochondrial respiration and energy production. Consistently, valine tRNA expression was elevated in PDAC tissues (p < 0.01), and selective knockdown of these tRNAs inhibited proliferation and migration (p < 0.001) by disrupting mitochondrial function. Reintroduction of Val-AAC, Val-CAC, and Val-TAC restored growth (p < 0.001) and migratory capacity (p < 0.01) in METTL1-deficient cells. Conclusions: METTL1-mediated m7G modification of valine tRNAs promotes PDAC progression by reprogramming the translational landscape to support mitochondrial metabolism. This METTL1-tRNA-mitochondrial axis represents a novel metabolic vulnerability and a promising therapeutic target in pancreatic cancer.
利益披露 Disclosure
J. zhu, None.. Q. Zhang, None.. R. Su, None.. Q. Pan, None.. A. Goel, None.

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