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...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
03 December 2024
|
| In: |
Genome biology
Year: 2024, Jahrgang: 25, Pages: 1-19 |
| ISSN: | 1474-760X |
| DOI: | 10.1186/s13059-024-03446-w |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s13059-024-03446-w
|
| Verfasserangaben: | Katherine Kelly, Michael Scherer, Martina Maria Braun, Pavlo Lutsik and Christoph Plass |
| Zusammenfassung: | 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. |
|---|---|
| Beschreibung: | Gesehen am 06.05.2025 |
| Beschreibung: | Online Resource |
| ISSN: | 1474-760X |
| DOI: | 10.1186/s13059-024-03446-w |