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从单细胞谱系追踪推断系统发育的理论保证。

Theoretical guarantees for phylogeny inference from single-cell lineage tracing.

机构信息

Algorithms and Complexity Group, David R. Cheriton School of Computer Science, University of Waterloo, Waterloo ON N2L 3G1, Canada.

Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720.

出版信息

Proc Natl Acad Sci U S A. 2023 Mar 21;120(12):e2203352120. doi: 10.1073/pnas.2203352120. Epub 2023 Mar 16.

Abstract

Lineage-tracing technologies based on Clustered Regularly Interspaced Short Palindromic Repeats and CRISPR-associated protein 9 (CRISPR-Cas9) genome editing have emerged as a powerful tool for investigating development in single-cell contexts, but exact reconstruction of the underlying clonal relationships in experiment is complicated by features of the data. These complications are functions of the experimental parameters in these systems, such as the Cas9 cutting rate, the diversity of indel outcomes, and the rate of missing data. In this paper, we develop two theoretically grounded algorithms for the reconstruction of the underlying single-cell phylogenetic tree as well as asymptotic bounds for the number of recording sites necessary for exact recapitulation of the ground truth phylogeny at high probability. In doing so, we explore the relationship between the problem difficulty and the experimental parameters, with implications for experimental design. Lastly, we provide simulations showing the empirical performance of these algorithms and showing that the trends in the asymptotic bounds hold empirically. Overall, this work provides a theoretical analysis of phylogenetic reconstruction in single-cell CRISPR-Cas9 lineage-tracing technologies.

摘要

基于簇状规律间隔短回文重复序列和 CRISPR 相关蛋白 9 (CRISPR-Cas9) 基因组编辑的谱系追踪技术已经成为在单细胞环境中研究发育的有力工具,但由于数据的特点,精确重建实验中潜在的克隆关系变得复杂。这些复杂性是这些系统中实验参数的函数,例如 Cas9 切割率、缺失数据的发生率和缺失数据的速率。在本文中,我们开发了两种理论上的算法,用于重建潜在的单细胞系统发育树,并对高概率下精确再现真实系统发育所需的记录站点数量的渐近界进行了研究。通过这样做,我们探讨了问题难度与实验参数之间的关系,这对实验设计具有启示意义。最后,我们提供了模拟结果,展示了这些算法的经验性能,并表明渐近界的趋势在经验上是成立的。总的来说,这项工作提供了对单细胞 CRISPR-Cas9 谱系追踪技术中系统发育重建的理论分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a81/10041172/21c1f2c850e6/pnas.2203352120fig01.jpg

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