EpiCHAOS

• Verfasst von: Kelly, Katherine [VerfasserIn]
• Verfasst von: Scherer, Michael [VerfasserIn]
• Verfasst von: Braun, Martina Maria [VerfasserIn]
• Verfasst von: Lutsik, Pavlo [VerfasserIn]
• Verfasst von: Plass, Christoph [VerfasserIn]
• Titel: EpiCHAOS
• Titelzusatz: a metric to quantify epigenomic heterogeneity in single-cell data
• Verf.angabe: Katherine Kelly, Michael Scherer, Martina Maria Braun, Pavlo Lutsik and Christoph Plass
• E-Jahr: 2024
• Jahr: 03 December 2024
• Umfang: 19 S.
• Illustrationen: Illustrationen
• Fussnoten: Gesehen am 06.05.2025
• Titel Quelle: Enthalten in: Genome biology
• Ort Quelle: London : BioMed Central, 2000
• Jahr Quelle: 2024
• Band/Heft Quelle: 25(2024), Artikel-ID 305, Seite 1-19
• ISSN Quelle: 1474-760X
• DOI: doi:10.1186/s13059-024-03446-w
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Cancer
• Sach-SW: Chromatin
• Sach-SW: DNA methylation
• Sach-SW: Epigenetics
• Sach-SW: Heterogeneity
• Sach-SW: Plasticity
• Sach-SW: Single-cell epigenomics
• K10plus-PPN: 1924807548

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.