基础医学与临床 ›› 2026, Vol. 46 ›› Issue (5): 666-672.doi: 10.16352/j.issn.1001-6325.2026.05.0666

• 研究论文 • 上一篇    下一篇

基于单细胞多组学解析生长激素腺瘤的转录-翻译解偶联机制

吴加旻1, 吴尹子2, 王芳1, 余佳1, 马艳妮1, 王小爽1*   

  1. 1.中国医学科学院北京协和医学院 基础医学研究所 重大疾病共性机制研究全国重点实验室,北京 100005;
    2.中国医学科学院北京协和医学院 北京协和医院 神经外科,北京 100730
  • 收稿日期:2026-01-19 修回日期:2026-03-24 出版日期:2026-05-05 发布日期:2026-04-28
  • 通讯作者: *cattle1131@163.com
  • 基金资助:
    国家自然科学基金(82170799)

Elucidating the transcription-translation uncoupling mechanism in somatotroph adenomas via single-cell multi-omics

WU Jiamin1, WU Yinzi2, WANG Fang1, YU Jia1, MA Yanni1, WANG Xiaoshuang1*   

  1. 1. State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005;
    2. Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
  • Received:2026-01-19 Revised:2026-03-24 Online:2026-05-05 Published:2026-04-28
  • Contact: *cattle1131@163.com

摘要: 目的 探讨生长激素腺瘤中的稀疏颗粒型(SGST)的转录组与翻译组异质性,并进一步解析基因表达在转录与翻译水平的协同机制。方法 对1例SGST患者的肿瘤组织样本进行单细胞转录组测序(scRNA-seq)与单细胞(翻译组)核糖体印迹测序(scRibo-seq)。利用降维聚类鉴定细胞亚群,通过CytoTRACE算法评估细胞分化状态,并通过比较基因RNA、翻译水平的表达,探究侵袭相关基因的转录-翻译关联特征。结果 识别包括肿瘤细胞、周细胞和内皮细胞在内的3类细胞亚群,其中肿瘤细胞占比94.9%。肿瘤细胞表现出高度异质性,可进一步细分为“增殖型”“氧化磷酸化型”及“垂体样”等不同功能状态。CytoTRACE分析显示,低分化肿瘤亚群显著下调核糖体生物合成与翻译通路,同时上调氧化磷酸化及自噬相关通路,提示翻译活性的抑制可能与维持肿瘤低分化密切相关。联合分析发现显著的转录-翻译解偶联现象:MMP1、SNAI2等侵袭关键基因虽转录水平低,但翻译效率显著升高;相反,核糖体相关基因表现出低翻译效率。结论 SGST具有显著的转录组异质性,低分化亚群通过抑制核糖体生物合成维持低代谢低分化状态。肿瘤细胞并非依赖转录丰度,而是通过特异性提升翻译效率来驱动侵袭相关蛋白的快速合成,这揭示了SGST侵袭性生长的关键转录后调控机制。

关键词: 生长激素腺瘤, 稀疏颗粒型, 单细胞转录组测序, 单细胞(翻译组)核糖体印迹测序, 翻译效率

Abstract: Objective To investigate the transcriptomic and translatomic heterogeneity of sparsely granulated somatotroph tumor (SGST) and to elucidate the synergistic mechanisms of gene expression at the transcriptional and translational level. Methods Single-cell RNA sequencing (scRNA-seq) and single-cell ribosome sequencing(scRibo-seq) were performed on tumor tissue samples from one patient with SGST. Dimensionality reduction and clustering were utilized to identify cell subpopulations. The CytoTRACE algorithm was applied to assess cell differ- entiation states. By comparing gene expression at both RNA and translational level, the transcriptional-translational association characteristics of invasion-related genes were explored. Results Three distinct cell subpopulations were identified, including tumor cells, pericytes, and endothelial cells, with tumor cells accounting for 94.9%. The tumor cells exhibited high heterogeneity and could be further subdivided into distinct functional states, including “proliferative” “oxidative phosphorylation(OXPHOS)” and “pituitary-like” subtypes. CytoTRACE analysis indicated that low different ion state of some tumor subpopulations significantly down-regulated ribosome biogenesis and translation pathways while up-regulated OXPHOS and autophagy-related pathways, suggesting that the inhibition of translational activity might be closely related to the maintenance of a poorly differentiated tumor state. Integrated analysis revealed a significant transcriptional-translational uncoupling: Key invasion genes such as MMP1 and SNAI2 showed low transcriptional levels but significantly elevated translation efficiency. Conversely, ribosome-related genes exhibited low translation efficiency. Conclusions SGST possesses significant transcriptomic heterogeneity, where subpopulations of low differention maintain a hypometabolic and undifferentiated state by suppressing ribosome biogenesis. Rather than relying on transcriptional abundance, tumor cells drive a rapid synthesis of invasion-related proteins by specifically enhancing translation efficiency. This reveals a key post-transcriptional regulatory mechanism underlying the invasive growth of SGST.

Key words: somatotroph adenoma, sparsely granulated, single-cell RNA sequencing, single-cell ribosome sequencing, translation efficiency

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