论文标题
FACS-seq中的参数估计使表型异质性的高通量表征
Parameter estimation in FACS-seq enables high-throughput characterization of phenotypic heterogeneity
论文作者
论文摘要
表型异质性是细胞群中最迷人的特性，它显示了个体之间的差异，即使具有相同的遗传背景和细胞外环境条件。但是，缺乏对表型多样性的高通量分析限制了我们的研究进步。为了处理它，我们在一个常用的实验框架FACS-Seq中构建了一种新的参数估计方法，以同时表征库中数千种变体。我们进一步证明了该模型在估计每个变体的表达特性方面的能力，我们认为这可以帮助破译表型异质性的机理。
Phenotypic heterogeneity is a most fascinating property of a population of cells, which shows the differences among individuals even with the same genetic background and extracellular environmental conditions. However, the lack of high-throughput analysis of phenotypic diversity has limited our research progress. To deal with it, we constructed a novel parameter estimation method in FACS-seq, a commonly used experimental framework, to achieve simultaneous characterization of thousands of variants in a library. We further demonstrated the model's ability in estimating the expression properties of each variant, which we believe can help to decipher the mechanisms of phenotypic heterogeneity.
