数据驱动的网络推断和纵向转录学揭示了慢性淋巴细胞白血病模型中的动态调节
Malvina Marku1,2, Hugo Chenel3,4,5, Julie Bordenave3,4
1Centre de Recherches en Cancérologie de Toulouse, CRCT, Université de Toulouse, INSERM, CNRS, Toulouse, France. malvina.marku@inserm.fr.
NPJ systems biology and applications
|January 15, 2026
概括
慢性淋巴细胞白血病 (CLL) 的癌细胞在免疫细胞存在时显示出改变的激活,但它们的生存取决于内在因素. 这项研究揭示了驱动瘤微环境 (TME) 中的CLL细胞行为的时间基因调节网络.
科学领域:
- 癌症生物学 癌症生物学
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
背景情况:
- 瘤微环境 (TME) 显著影响癌细胞行为,但癌细胞与免疫细胞相互作用的特定调节变化尚未完全理解.
- 这种知识差距阻碍了对慢性淋巴细胞白血病 (CLL) 等疾病的有效治疗策略.
研究的目的:
- 研究控制慢性淋巴细胞白血病 (CLL) 细胞行为的动态调节机制,以应对TME内的免疫细胞相互作用.
- 开发和应用一个计算框架来分析时间序列的转录组数据,以推断基因调节网络 (GRNs).
主要方法:
- 在CLL患者样本上利用时间序列转录学,这些样本在5个时间点 (14天) 内在复制的体外TME中培养.
- 从事数据驱动的GRN推断从转录因子活动来捕捉时间和患者特定的调节相互作用.
- 分析基因表达特征,以确定与免疫癌细胞相互作用相关的基因模块.
主要成果:
- 确定了患者特异性和暂时解决的GRNs,证明了免疫信号如何调节CLL细胞表型.
- 揭示了与细胞因子信号传递,代谢重编程和分化相关的独特基因模块,这对于免疫癌细胞交叉交谈至关重要.
- 发现,虽然免疫细胞影响了CLL细胞激活,但细胞内在特征主要决定了生存.
结论:
- 免疫细胞的存在通过特定的调节网络显著影响CLL细胞激活和表型变化.
- 细胞存活主要由内在因素决定,独立于免疫细胞相互作用.
- 该研究提供了一个强大的计算框架,用于整合时间序列转录学和GRN推断来研究动态细胞行为.
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