Genome biologyBioinformaticsPeer-reviewed journal article
EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data
Katherine Kelly, Michael SchereriD, Martina Maria BrauniD, Pavlo LutsikiD, Christoph PlassiD
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 applied 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.
- assay: scATAC-seq
- assay: scRNA-seq
- research focus: benchmarking
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 10
- FWCI
- 1.36
- Field percentile
- top 20%
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