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在肝细胞母细胞瘤瘤细胞中使用scRNA-seq的激活代谢转录程序的表征

Claudia Monge¹, Raquel Francés², Agnès Marchio¹

¹Unité Organisation Nucléaire et Oncogenèse, INSERM U993, Institut Pasteur, Université Paris Cité, 75015 Paris, France.

International journal of molecular sciences

|December 17, 2024

概括

这项研究使用机器学习识别了儿科肝母细胞瘤 (肝癌) 的代谢特征. 这种特征准确地预测瘤细胞,揭示了关键的代谢途径和参与疾病进展的酶.

科学领域:

在瘤学瘤学.
代谢学代谢学代谢学
生物信息学是一种生物信息学.

背景情况:

肝母细胞瘤是最常见的儿科肝癌.
代谢重编程,包括增强的葡萄糖分解和脂肪酸合成,驱动肝细胞瘤的进展.
了解这些代谢变化对于确定治疗点至关重要.

研究的目的:

查肝细胞瘤中代谢酶表达的变化.
开发和验证基于机器学习的肝细胞瘤代谢评分.
在组织和单细胞水平上确定关键的代谢标志物.

主要方法:

分析了大量的RNA测序数据 (GSE104766,GSE131329) 和单细胞RNA测序数据 (GSE180665).
使用KEGG通路进行差异基因表达分析和功能丰富.
机器学习 (Elasticnet) 来构建和验证肝细胞母细胞瘤表达代谢得分.

主要成果:

鉴定了287种明显调节的代谢酶,其中59种在瘤中过度表达.
确定了瘤细胞具有高预测准确度 (AUC 0.98) 的验证代谢得分.
突出显示了氨基酸,碳水化合物和其他代谢途径的丰富,确定了关键的预测标记物,如FKBP10和OXCT1.

结论:

肝母细胞瘤表现出在组织和单细胞水平上检测到的激活的代谢转录程序.
开发的代谢评分和识别的标记可以帮助诊断和理解肝细胞瘤.
代谢重编程,可能与表观遗传功能有关,是肝细胞瘤的一个关键特征.

关键词:

通过DNA甲基化.癌症癌症癌症癌症癌症表观遗传学是指表观遗传学.肝炎母细胞瘤是什么代谢代谢代谢代谢一个一碳的碳.

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