ArticleGenome biology2017
Single-cell epigenomic variability reveals functional cancer heterogeneity.
Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.
- Learning single-cell chromatin accessibility profiles using meta-analytic marker genes.Briefings in bioinformatics · 2023Pooled it
- Comprehensive overview of AI methodologies in nano-drug delivery Optimization and Design.NPJ precision oncology · 2026Review
- Epigenetic Regulation of Uterine Smooth Muscle Tumors: Histone Modifications in Uterine Fibroids and Leiomyosarcoma.Biology · 2026Review
- Brain-Derived Exosomes in Neurodevelopmental and Neuropsychiatric Disorders: Molecular Insights, Therapeutic Potential, and Translational Challenges.Molecular neurobiology · 2025Review
- Iterative deep learning design of human enhancers exploits condensed sequence grammar to achieve cell-type specificity.Cell systems · 2025Article
- Deep learning identifies heterogeneous subpopulations in breast cancer cell lines.npj biomedical innovations · 2025Article
- Single-nucleus CUT&RUN elucidates the function of intrinsic and genomics-driven epigenetic heterogeneity in head and neck cancer progression.Genome research · 2025Article
- Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025Review
- Review
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- Effect of genomic and cellular environments on gene expression noise.Genome biology · 2024Article
- Human ASXL1-Mutant Hematopoiesis Is Driven by a Truncated Protein Associated with Aberrant Deubiquitination of H2AK119.Blood cancer discovery · 2024Article
- Contributions of transcriptional noise to leukaemia evolution: KAT2A as a case-study.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review).Oncology letters · 2024Review
- Single molecule MATAC-seq reveals key determinants of DNA replication origin efficiency.Nucleic acids research · 2023Article
- Cancer metastasis under the magnifying glass of epigenetics and epitranscriptomics.Cancer metastasis reviews · 2023Review
- Microfluidic design in single-cell sequencing and application to cancer precision medicine.Cell reports methods · 2023Review
- Toward a systems-level probing of tumor clonality.iScience · 2023Review
- Mitophagy initiates retrograde mitochondrial-nuclear signaling to guide retinal pigment cell heterogeneity.Autophagy · 2023Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundCell-to-cell heterogeneity is a major driver of cancer evolution, progression, and emergence of drug resistance. Epigenomic variation at the single-cell level can rapidly create cancer heterogeneity but is difficult to detect and assess functionally.
resultsWe develop a strategy to bridge the gap between measurement and function in single-cell epigenomics. Using single-cell chromatin accessibility and RNA-seq data in K562 leukemic cells, we identify the cell surface marker CD24 as co-varying with chromatin accessibility changes linked to GATA transcription factors in single cells. Fluorescence-activated cell sorting of CD24 high versus low cells prospectively isolated GATA1 and GATA2 high versus low cells. GATA high versus low cells express differential gene regulatory networks, differential sensitivity to the drug imatinib mesylate, and differential self-renewal capacity. Lineage tracing experiments show that GATA/CD24hi cells have the capability to rapidly reconstitute the heterogeneity within the entire starting population, suggesting that GATA expression levels drive a phenotypically relevant source of epigenomic plasticity.
conclusionSingle-cell chromatin accessibility can guide prospective characterization of cancer heterogeneity. Epigenomic subpopulations in cancer impact drug sensitivity and the clonal dynamics of cancer evolution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.