EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data

IF 10.1 1区生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Genome Biology Pub Date : 2024-12-03 DOI:10.1186/s13059-024-03446-w

Katherine Kelly, Michael Scherer, Martina Maria Braun, Pavlo Lutsik, Christoph Plass

引用次数: 0

Abstract

Epigenetic heterogeneity is a fundamental property of biological systems and is recognized as a potential driver of tumor plasticity and therapy resistance. Single-cell epigenomics technologies have been widely employed to study epigenetic variation between—but not within—cellular clusters. We introduce epiCHAOS: a quantitative metric of cell-to-cell heterogeneity, applicable to any single-cell epigenomics data type. After validation in synthetic datasets, we apply epiCHAOS to investigate global and region-specific patterns of epigenetic heterogeneity across diverse biological systems. EpiCHAOS provides an excellent approximation of stemness and plasticity in development and malignancy, making it a valuable addition to single-cell cancer epigenomics analyses.

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EpiCHAOS：在单细胞数据中量化表观基因组异质性的度量

表观遗传异质性是生物系统的基本特性，被认为是肿瘤可塑性和治疗耐药性的潜在驱动因素。单细胞表观基因组学技术已被广泛用于研究细胞簇之间的表观遗传变异，而不是细胞簇内的表观遗传变异。我们介绍epiCHAOS：细胞间异质性的定量度量，适用于任何单细胞表观基因组学数据类型。在合成数据集验证后，我们应用epiCHAOS来研究不同生物系统中表观遗传异质性的全球和区域特异性模式。EpiCHAOS提供了发育和恶性肿瘤的干性和可塑性的极好近似，使其成为单细胞癌症表观基因组学分析的有价值的补充。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Genome Biology Biochemistry, Genetics and Molecular Biology-Genetics

CiteScore

21.00

自引率

3.30%

发文量

241

审稿时长

2 months

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