Cell Type Diversity Statistic: An Entropy-Based Metric to Compare Overall Cell Type Composition Across Samples.
Cell Type Diversity Statistic: An Entropy-Based Metric to Compare Overall Cell Type Composition Across Samples.
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DOI：
10.3389/fgene.2022.855076
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发表时间：
2022
影响因子：
3.7
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中科院分区：
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样品中细胞类型组成的变化可以具有生物学意义，并提供对疾病和其他病症的洞察。单细胞转录组学使得以精细分辨率研究细胞类型组成成为可能。大多数单细胞研究独立地调查每种细胞类型的样品之间的组成变化，而不考虑测序数据中每个样品的固定细胞数。在这里，我们提供了一个样本中细胞类型比例分布的指标，可用于比较多个样本和生物条件下细胞类型的总体分布。这是第一种在单细胞水平上测量总体细胞类型组成的方法。我们使用该方法来评估与衰老和极端衰老相关的外周血单核细胞（PBMC）的组成变化，使用来自人类寿命中四个年龄组个体的多个单细胞数据集。
Changes of cell type composition across samples can carry biological significance and provide insight into disease and other conditions. Single cell transcriptomics has made it possible to study cell type composition at a fine resolution. Most single cell studies investigate compositional changes between samples for each cell type independently, not accounting for the fixed number of cells per sample in sequencing data. Here, we provide a metric of the distribution of cell type proportions in a sample that can be used to compare the overall distribution of cell types across multiple samples and biological conditions. This is the first method to measure overall cell type composition at the single cell level. We use the method to assess compositional changes in peripheral blood mononuclear cells (PBMCs) related to aging and extreme old age using multiple single cell datasets from individuals of four age groups across the human lifespan.