从批量瘤测序中重建克隆解决的转录程序
bioRxiv : the preprint server for biology
|February 6, 2026
概括
PICTographPlus通过整合DNA推断瘤进化来从大量RNA测序数据中重建克隆特异性基因表达. 这种方法将转录程序映射到特定的进化过渡,揭示了癌症克隆动态.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 癌症研究 癌症研究
背景情况:
- 瘤由具有模糊进化结构的相关克隆和在批量测序数据中的克隆特异性转录程序组成.
- 从大量DNA测序推断出克隆架构是可能的,但从大量RNA-seq中恢复克隆解析的转录程序仍然具有挑战性.
研究的目的:
- 开发一个计算框架,PICTographPlus,通过将DNA推断的克隆基因基因与大量RNA-seq.集成来重建克隆解析的转录组.
- 为了使克隆特异性基因表达的推断和特定进化过渡的途径收益和损失的局部化.
主要方法:
- 开发了PICTographPlus,这是一个概率框架,使用了基因结构规则化的混合模型.
- 集成的DNA推断的克隆基因与大量的RNA-seq数据.
- 使用单细胞衍生克隆结构和模拟的散装混合物在不同瘤纯度和采样密度上进行验证.
主要成果:
- 证明了克隆级基因组调节的强大恢复.
- 应用于肺癌和胰腺癌队列,揭示了克隆受限的转录程序.
- 确定了转录程序,瘤抑制剂损失和转移性进展之间的关联.
结论:
- PICTographPlus将批量测试转化为进化,克隆解析的转录地图.
- 允许对瘤进化和转录程序进行回顾性和队列规模的分析,而无需专门的实验数据.
- 为了解癌症异质性和进展提供了一个强大的工具.
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