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Chronos:一个用于 CRISPR 实验的细胞群体动力学模型,可提高基因适合度效应推断的准确性。

Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects.

机构信息

Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.

Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA.

出版信息

Genome Biol. 2021 Dec 20;22(1):343. doi: 10.1186/s13059-021-02540-7.

Abstract

CRISPR loss of function screens are powerful tools to interrogate biology but exhibit a number of biases and artifacts that can confound the results. Here, we introduce Chronos, an algorithm for inferring gene knockout fitness effects based on an explicit model of cell proliferation dynamics after CRISPR gene knockout. We test Chronos on two pan-cancer CRISPR datasets and one longitudinal CRISPR screen. Chronos generally outperforms competitors in separation of controls and strength of biomarker associations, particularly when longitudinal data is available. Additionally, Chronos exhibits the lowest copy number and screen quality bias of evaluated methods. Chronos is available at https://github.com/broadinstitute/chronos .

摘要

CRISPR 功能丧失筛选是探究生物学的有力工具,但存在许多会混淆结果的偏差和假象。在这里,我们引入了 Chronos,这是一种基于 CRISPR 基因敲除后细胞增殖动态的显式模型来推断基因敲除适应性的算法。我们在两个泛癌 CRISPR 数据集和一个纵向 CRISPR 筛选中测试了 Chronos。Chronos 在区分对照和生物标志物关联强度方面通常优于竞争对手,特别是在有纵向数据时。此外,Chronos 表现出评估方法中最低的拷贝数和筛选质量偏差。Chronos 可在 https://github.com/broadinstitute/chronos 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdb/8686573/2f83d3dc008d/13059_2021_2540_Fig1_HTML.jpg

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