细胞增殖偏差 克隆血统跟踪和轨迹推断的推断
Becca Bonham-Carter1, Geoffrey Schiebinger1
1Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Bioinformatics (Oxford, England)
|August 5, 2024
概括
单细胞RNA测序中的采样偏差可能会扭曲发育数据. 我们的研究揭示了细胞生长率如何影响采样,影响轨迹推断,并提供了纠正这种偏差的方法.
科学领域:
- 计算生物学 计算生物学
- 基因组学就是基因组学.
- 发展生物学 发展生物学
背景情况:
- 单细胞RNA测序 (scRNA-seq) 对于理解发育和疾病中的细胞异质性至关重要.
- scRNA-seq旨在提供对组织细胞架构的公正观点.
- 采样偏差可以扭曲scRNA-seq数据集,误解真正的细胞组成.
研究的目的:
- 在scRNA-seq数据中识别和描述一种新型的抽样偏差形式.
- 调查这种偏见对血统追踪和轨迹推断的影响.
- 开发强大的轨迹推断方法,适应采样偏差.
主要方法:
- 在不断增长的细胞群中采样偏差的概率模型.
- 模拟研究以验证理论推导.
- 对T细胞发育的现实世界时间过程scRNA-seq数据集的分析.
主要成果:
- 证明了一种与相对细胞生长率和重复采样相关的新型采样偏差.
- 表明这种偏见可以显著影响在血统追踪中的命运概率预测.
- 确定了影响异质群体样本代表性的特定统计现象.
结论:
- 采样偏差是scRNA-seq的一个固有的挑战,特别是在动态系统中.
- 细胞生长动态极大地影响数据表示和下游分析.
- 需要新的计算方法来减轻偏差并提高轨迹推断的准确性.
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