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定融合可以在大量和单细胞RNA测序数据中进行有针对性的融合搜索

Xilu Yuan¹, Haishuai Wang², Zhongquan Sun³

¹Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou, China.

Cell reports methods

|March 19, 2024

概括

基因融合是一种新型工具,用于高度灵敏地检测融合基因,即使测序数据较低. 它准确地识别真核聚变事件,同时过出假阳性,超过现有方法.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

融合基因在癌症发展中至关重要.
精确检测融合基因对于诊断和治疗至关重要.
现有的工具在较低的测序深度和假阳性结果方面扎.

研究的目的:

开发一种高度敏感的融合基因检测工具.
为了提高融合基因识别的准确性.
为了在低测序深度场景中实现核聚变检测.

主要方法:

定融合定一个感兴趣的基因,以恢复非唯一的短读匹配.
包含一个深度学习模块 (层次视图学习和蒸 [HVLD]) 来过假阳性.
与其他工具进行基准测试,使用模拟的大量RNA测序 (bRNA-seq) 和单细胞RNA测序 (scRNA-seq) 数据.

主要成果:

定聚变在检测各种数据类型的聚变事件方面表现出卓越的性能.
该工具有效地过了假阳性仿真碎片,同时保留了真正的融合基因.
实现了高灵敏度,使其适用于低测序深度应用.

结论:

定融合是临床RNA-seq数据中融合基因检测的宝贵工具.
它具有很高的灵敏度和精度,性能优于现有方法.
适用于使用scRNA-seq数据调查瘤内部异质性.

关键词:

科普:遗传学在CP:遗传学.CP:系统生物学系统生物学

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