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单细胞转录组学和微生物组数据的技术支持整合识别了结直肠腺瘤中可准RNA的宿主-微生物群网络

Boyang Ma¹, Haiyan Hu², Yu Lin¹

¹The First Affiliated Hospital, Qiqihar Medical University, Heilongjiang, 161000, China.

SLAS technology

|November 15, 2025

概括

一个新的计算管道整合了对结直肠腺瘤的宿主微生物组和单细胞RNA数据. 它确定了关键的微生物参与者和宿主目标,用于开发基于RNA的新疗法.

科学领域:

计算生物学计算生物学
微生物组研究微生物组研究
单细胞RNA测序单细胞RNA测序
结肠直肠癌研究研究

背景情况:

整合宿主微生物组分析与单细胞RNA测序用于结直肠腺瘤研究仍然具有挑战性.
在这种情况下,现有的目标识别方法是分散的,阻碍了治疗的发展.
单细胞技术和RNA疗法的进步需要统一的分析框架.

研究的目的:

开发一种可重复的计算管道,用于结合宿主微生物组和结直肠腺瘤单细胞RNA分析.
为了确定特定的宿主微生物群相互作用和治疗干预的潜在RNA可向候选人.
建立一个框架,将转录基因数据转化为结直肠疾病的精密治疗方法.

主要方法:

创建了一个新的计算管道,集成MaAsLin2,QIIME2/DADA2和Seurat/Harmony.
分析了三个单细胞RNA测序数据集 (426,425个细胞) 和三个微生物组数据集 (975个样本).
严格的统计控制 (FDR <0.05) 应用,以确定重要的宿主微生物群相互作用和治疗点.

主要成果:

在腺瘤相关样本中观察到肠道微生物群多样性的显著减少 (香农指数).
发现了Fusobacterium核的丰富和Faecalibacterium prausnitzii的枯竭.
单细胞分析显示了免疫激活,杯状细胞功能障碍 (MUC2下降) 和干细胞扩张 (LGR5增加).
确定了847种重要的宿主微生物群相互作用,其中F. nucleatum与炎症 (NFKB1) 和增殖 (LGR5) 有着强烈的相关性.
优先考虑了25个可向RNA的候选人,包括MUC2和FOXP3用于mRNA恢复,以及NFKB1和IL1B用于抑制.

结论:

开发的管道成功地整合了多omics数据,用于在结直肠腺瘤中进行全面的宿主微生物组分析.
这种方法有助于系统地识别可向RNA的候选物,为新的治疗策略提供了潜力.
该框架提供了一个可重复的模型,用于将复杂的生物相互作用转化为可操作的结直肠疾病的精确干预措施.

关键词:

结直肠腺瘤是什么意思计算集成的计算集成.主体微生物群的相互作用网络分析网络分析对于RNA疗法来说,它是一种治疗方法.单细胞转录组学单细胞转录组学

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