ArticleStem cell reports2018
High-Resolution Single-Cell DNA Methylation Measurements Reveal Epigenetically Distinct Hematopoietic Stem Cell Subpopulations.
Article in Stem cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed.
- SMORE: joint dimension reduction and cell population discovery on single-cell methylome data.bioRxiv : the preprint server for biology · 2026Article
- A systematic benchmarking framework and dual-view optimization strategy for single-cell DNA methylation imputation.Briefings in bioinformatics · 2026Article
- Cell-to-cell variability and gain of methylation at polycomb CpG islands as a hallmark of aging.Nature communications · 2026Article
- Initial leukemic epigenomic state determines hypomethylating agent response.Nature communications · 2026Article
- RAMEN: Dissecting individual, additive and interactive gene-environment contributions to DNA methylome variability in cord blood.Genome biology · 2025Article
- Mapping the landscape of cell type-dependent genetic regulation of DNA methylation across human tissues.Research square · 2025Article
- High-coverage allele-resolved single-cell DNA methylation profiling reveals cell lineage, X-inactivation state, and replication dynamics.Nature communications · 2025Article
- Article
- Atlas-scale single-cell DNA methylation profiling with sciMETv3.Cell genomics · 2025Article
- High resolution tissue and cell type identification via single cell transcriptomic profiling.PloS one · 2025Article
- Review
- sciMET-cap: high-throughput single-cell methylation analysis with a reduced sequencing burden.Genome biology · 2024Article
- Synovial Sarcoma Chromatin Dynamics Reveal a Continuum in SS18:SSX Reprograming.bioRxiv : the preprint server for biology · 2024Article
- Low-input and single-cell methods for Infinium DNA methylation BeadChips.Nucleic acids research · 2024Article
- Maternal upbringing and selective breeding for voluntary exercise behavior modify patterns of DNA methylation and expression of genes in the mouse brain.Genes, brain, and behavior · 2023Article
- scHiMe: predicting single-cell DNA methylation levels based on single-cell Hi-C data.Briefings in bioinformatics · 2023Article
- sciMET-cap: High-throughput single-cell methylation analysis with a reduced sequencing burden.bioRxiv : the preprint server for biology · 2023Article
- Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models.Genome research · 2023Article
- Unraveling Heterogeneity in the Aging Hematopoietic Stem Cell Compartment: An Insight From Single-cell Approaches.HemaSphere · 2023Review
- Computational Methods for Single-cell DNA Methylome Analysis.Genomics, proteomics & bioinformatics · 2023Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Increasing evidence of functional and transcriptional heterogeneity in phenotypically similar cells examined individually has prompted interest in obtaining parallel methylome data. We describe the development and application of such a protocol to index-sorted murine and human hematopoietic cells that are highly enriched in their content of functionally defined stem cells. Utilizing an optimized single-cell bisulfite sequencing protocol, we obtained quantitative DNA methylation measurements of up to 5.7 million CpGs in single hematopoietic cells. In parallel, we developed an analytical strategy (PDclust) to define single-cell DNA methylation states through pairwise comparisons of single-CpG methylation measurements. PDclust revealed that a single-cell epigenetic state can be described by a small (<1%) stochastically sampled fraction of CpGs and that these states are reflective of cell identity and state. Using relationships revealed by PDclust, we derive near complete methylomes for epigenetically distinct subpopulations of hematopoietic cells enriched for functional stem cell content.
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Registered trials
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