ReviewNature reviews. Genetics2021
The epigenetic basis of cellular heterogeneity.
Review in Nature reviews. Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 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
178 citing papers in PubMed.
- Type I restriction-modification systems regulate gene expression through DNA topology.Nucleic acids research · 2026Article
- YAP1 induces hepatocellular carcinoma via DNA demethylation rather than by canonical driver gene mutations.Communications biology · 2026Article
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- Epigenetic Alterations in Meningiomas-A Review.Biomedicines · 2026Review
- Article
- Transcriptional Heterogeneity Underlying Cancer Cell Migration Converges on Shared Regulatory Programs.Genes · 2026Article
- ATACompass enables cross-species cell identity mapping for scATAC-seq without gene annotations.Cell reports methods · 2026Article
- Single-cell heterogeneity in interferon induction potential is heritable and governed by variation in cell state.Cell systems · 2026Article
- Tumor heterogeneity: development, mechanisms, and therapeutic implications.Signal transduction and targeted therapy · 2026Review
- Distinct associations of pioneer factor Ascl1-E12a with nucleosomes drive changes in cell fate.Molecular cell · 2026Article
- DNA Framework Nucleator-Enabled Intelligent Hydrogel Interfaces on Living Cells.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Article
- O-SNAP uncovers nanoscale chromatin remodeling in dedifferentiation and stress responses.Nature communications · 2026Article
- Cancer stem cell plasticity in shaping drug resistance landscapes in prostate cancer.Journal of advanced research · 2026Review
- A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data.PLoS computational biology · 2026Article
- Inter-individual gene expression variability implies stable regulation of brain-biased genes across organs in three ray-finned fishes.bioRxiv : the preprint server for biology · 2026Article
- Coming to light: the transcriptional regulatory roles of histone lysine crotonylation in health and disease.Cellular & molecular biology letters · 2026Review
- Single-Cell Transcriptomics Reveals FLS2-Dependent Hypoxia Signaling and ERF13-Mediated Transcription During flg22-Triggered Immunity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Epigenetic Biomarkers for Predicting Nucleoside Analog Drug Response and Resistance in Cancer.Biomolecules · 2026Review
- A comprehensive benchmarking study on computational tools for cross-omics label transfer from single-cell RNA to ATAC data.G3 (Bethesda, Md.) · 2026Article
118 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
2 authors.
Funding
Abstract
Single-cell sequencing-based methods for profiling gene transcript levels have revealed substantial heterogeneity in expression levels among morphologically indistinguishable cells. This variability has important functional implications for tissue biology and disease states such as cancer. Mapping of epigenomic information such as chromatin accessibility, nucleosome positioning, histone tail modifications and enhancer-promoter interactions in both bulk-cell and single-cell samples has shown that these characteristics of chromatin state contribute to expression or repression of associated genes. Advances in single-cell epigenomic profiling methods are enabling high-resolution mapping of chromatin states in individual cells. Recent studies using these techniques provide evidence that variations in different aspects of chromatin organization collectively define gene expression heterogeneity among otherwise highly similar cells.
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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.