ReviewNature reviews. Genetics2015
Single-cell epigenomics: techniques and emerging applications.
Review in Nature reviews. Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
154 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Graph neural networks for single-cell omics data: a review of approaches and applications.Briefings in bioinformatics · 2025Pooled it
- Decoding chromosome organization using proximity labeling and long-read sequencing.Journal of genetics and genomics = Yi chuan xue bao · 2026Article
- From epigenetic mark detection to rational design of epigenetic editing strategies.Molecular therapy. Advances · 2026Review
- Scalable, generalizable and uncertainty-aware integration of spatial multiomics across diverse modalities and platforms with SCIGMA.Nature genetics · 2026Article
- Integrative Epigenomics: Bioinformatics Strategies for Multi-Omics Data Analysis in Health and Disease.Epigenomes · 2026Review
- Addressing multiple facets of ligand-receptor network inference including single-cell proteomics.Nucleic acids research · 2026Article
- Histone H1 variants regulate neurodevelopmental transcriptional programs in autism with 16p11.2 deletion.Genome biology · 2026Article
- Single-cell data integration across weakly linked modalities.PLoS computational biology · 2026Article
- Deciphering double-negative prostate cancer: from aggressive subtype to novel therapeutic paradigms.Cell communication and signaling : CCS · 2026Review
- The Future of Epigenetics: Emerging Technologies and Clinical Applications.ACS pharmacology & translational science · 2026Review
- Human-scATAC-Corpus: a comprehensive database of scATAC-seq data.Nucleic acids research · 2026Article
- The Evolution of Gene Sequencing Technologies: Unveiling Genetic Architecture of Nonsyndromic Orofacial Clefts.Genetics research · 2026Review
- Single Cell RNA Sequencing in Colorectal Cancer Immunology: Recent Updates, Application, and Emerging Challenges.Current molecular medicine · 2026Review
- CONCERT predicts niche-aware perturbation responses in spatial transcriptomics.bioRxiv : the preprint server for biology · 2025Article
- Epigenetics in forest trees- key driver to phenotypic plasticity and adaptation under stress.Functional & integrative genomics · 2025Review
- The xIV-LDDMM toolkit of image-varifold based technologies for mapping 3D images and spatial-omics across scales.Communications biology · 2025Article
- Epigenetic Regulation of Aging and its Rejuvenation.MedComm · 2025Review
- Quantifying Landscape and Flux from Single-Cell Omics: Unraveling the Physical Mechanisms of Cell Function.JACS Au · 2025Review
- Article
- Developing a Cell Quenching Method to Facilitate Single Cell Mass Spectrometry Metabolomics Studies.JACS Au · 2025Article
94 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
Epigenomics is the study of the physical modifications, associations and conformations of genomic DNA sequences, with the aim of linking these with epigenetic memory, cellular identity and tissue-specific functions. While current techniques in the field are characterizing the average epigenomic features across large cell ensembles, the increasing interest in the epigenetics within complex and heterogeneous tissues is driving the development of single-cell epigenomics. We review emerging single-cell methods for capturing DNA methylation, chromatin accessibility, histone modifications, chromosome conformation and replication dynamics. Together, these techniques are rapidly becoming a powerful tool in studies of cellular plasticity and diversity, as seen in stem cells and cancer.
Indexed as
Identifiers
26460349What OpenQuestion holds
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.