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Paper Details

Single-cell epigenomic variability reveals functional cancer heterogeneity.
Genome Biol
71
2017
CD24, CD24 high versus low cells, CD24hi, CD24hi cells, Epigenomic, Epigenomic subpopulations, GATA, GATA high versus low cells, GATA transcription factors, GATA/CD24hi cells, GATA1, GATA1 and GATA2 high versus low cells, GATA2, K562 leukemic, K562 leukemic cells, RNA-seq, cancer, chromatin, gene regulatory networks, imatinib mesylate, single, single cells
Antigens, Surface, Biomarkers, Cell Line, Tumor, Epigenesis, Genetic, Epigenomics, Genetic Heterogeneity, Genetic Variation, High-Throughput Nucleotide Sequencing, Humans, Immunophenotyping, K562 Cells, Neoplasms, Nucleotide Motifs, Reproducibility of Results, Single-Cell Analysis
Author NameAffiliation
Ulrike M LitzenburgerCenter for Personal Dynamic Regulomes, Stanford University School of Medicine
Jason D BuenrostroBroad Institute of MIT and Harvard
Jason D BuenrostroHarvard University
Beijing WuStanford University School of Medicine
Ying ShenCenter for Personal Dynamic Regulomes, Stanford University School of Medicine
Nathan Sheffield (CM4AI)Center for Personal Dynamic Regulomes, Stanford University School of Medicine
Arwa KathiriaCenter for Personal Dynamic Regulomes, Stanford University School of Medicine
Arwa KathiriaStanford University School of Medicine
William J GreenleafCenter for Personal Dynamic Regulomes, Stanford University School of Medicine
William J GreenleafStanford University
William J GreenleafStanford University School of Medicine
William J GreenleafCenter for Personal Dynamic Regulomes, Stanford University School of Medicine
William J GreenleafStanford University School of Medicine
William J GreenleafStanford University
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University School of Medicine
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