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利用RNA-seq解来改善复杂的体外模型表征

Brad C Hansen¹, Christopher M Arian², Yuting Zeng³

¹Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA; Institute for Stem Cells and Regenerative Medicine, University of Washington, Seattle, Washington, USA.

The Journal of biological chemistry

|July 23, 2025

概括

通过预测细胞比例,RNA-seq解卷有效地表征复杂的体外模型 (CIVM). 使用归算的单细胞引用可以提高毒理学和药物开发应用的准确性.

科学领域:

生物技术是生物技术.
基因组学就是基因组学.
毒理学毒理学毒理学

背景情况:

复杂的体外模型 (CIVM) 对于药物开发至关重要,但需要先进的表征方法.
传统的单细胞分析工具不适合CIVM,因为细胞应激,损失和成本.
RNA-seq解卷为分析CIVM细胞组成提供了一个有希望的替代方案.

研究的目的:

为了对RNA-seq解卷方法进行基准测试,以表征两个不同的CIVM:肠道器官和新生儿动物丸.
评估单细胞RNA测序 (scRNA-seq) 归算方法对解卷精度的影响.
评估解卷的实用性,以了解CIVMs内的细胞动态.

主要方法:

使用来自CIVMs的大量RNA-seq数据对多个RNA-seq解卷算法的基准测试.
使用公开可用的scRNA-seq数据集作为解卷的参考.
将各种各样的归算技术应用于scRNA-seq数据,以恢复基因分布.
分析解卷结果以推断肠道和丸CIVMs中的细胞群动态.

主要成果:

解封精度在方法之间有所不同,但为细胞群动态提供了洞察力.
在肠道有机体中,解封揭示了在分化过程中从LGR5+干细胞中出现肠细胞的出现.
在丸有机体中,解卷检测出保留的生殖细胞,增殖的周管肌细胞和在荷尔蒙刺激下稳定的莱迪格细胞.
假定的单细胞引用显著提高了解卷精度.

结论:

RNA-seq解卷是一种有价值的工具,用于表征复杂的体外模型 (CIVMs).
该方法有助于在工程组织模型中理解细胞组成和动态.
通过归算scRNA-seq引用提高了解卷精度,支持其在毒理学和药物开发中的应用.

关键词:

细胞培养培养的细胞培养.计算生物学是计算生物学.我们的肠道是肠道.测试测试测试测试转录组学转录组学是指转录组学.

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