EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data
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 intro...
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| Main Authors: | , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
03 December 2024
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| In: |
Genome biology
Year: 2024, Volume: 25, Pages: 1-19 |
| ISSN: | 1474-760X |
| DOI: | 10.1186/s13059-024-03446-w |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s13059-024-03446-w
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| Author Notes: | Katherine Kelly, Michael Scherer, Martina Maria Braun, Pavlo Lutsik and Christoph Plass |
| Summary: | 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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| Item Description: | Gesehen am 06.05.2025 |
| Physical Description: | Online Resource |
| ISSN: | 1474-760X |
| DOI: | 10.1186/s13059-024-03446-w |