ArticleJournal of clinical genomics2018
Emerging techniques in single-cell epigenomics and their applications to cancer research.
Article in Journal of clinical genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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
24 citing papers in PubMed, 40 citations in OpenAlex.
- Review
- Single-Cell Transcriptomics: Technical Advances, Applications and Challenges in Cancer Drug Discovery.Current cancer drug targets · 2025Article
- MetaPhenotype: A Transferable Meta-Learning Model for Single-Cell Mass Spectrometry-Based Cell Phenotype Prediction Using Limited Number of Cells.Analytical chemistry · 2024Article
- Single-cell multi-omics in the study of digestive system cancers.Computational and structural biotechnology journal · 2024Review
- Single-cell multimodal chromatin profiles revealing epigenetic regulations of cells in hepatocellular carcinoma.Clinical and translational discovery · 2024Article
- Applications of single-cell multi-omics in liver cancer.JHEP reports : innovation in hepatology · 2024Review
- Characterisation and reproducibility of the HumanMethylationEPIC v2.0 BeadChip for DNA methylation profiling.BMC genomics · 2024Article
- Oxidative Stress and Epigenetics: miRNA Involvement in Rare Autoimmune Diseases.Antioxidants (Basel, Switzerland) · 2023Review
- Toxicoepigenetics for Risk Assessment: Bridging the Gap Between Basic and Regulatory Science.Epigenetics insights · 2022Article
- Metabolism, HDACs, and HDAC Inhibitors: A Systems Biology Perspective.Metabolites · 2021Review
- Forecasting cellular states: from descriptive to predictive biology via single-cell multiomics.Current opinion in systems biology · 2021Article
- Biomolecular phenotyping and heterogeneity assessment of mesenchymal stromal cells using label-free Raman spectroscopy.Scientific reports · 2021Article
- Computational Methods for Single-Cell Imaging and Omics Data Integration.Frontiers in molecular biosciences · 2021Review
- A Comparative Overview of Epigenomic Profiling Methods.Frontiers in cell and developmental biology · 2021Review
- Methodological Advancements for Investigating Intra-tumoral Heterogeneity in Breast Cancer at the Bench and Bedside.Journal of mammary gland biology and neoplasia · 2020Article
- From whole-mount to single-cell spatial assessment of gene expression in 3D.Communications biology · 2020Review
- Integrative Methods and Practical Challenges for Single-Cell Multi-omics.Trends in biotechnology · 2020Review
- Computational Oncology in the Multi-Omics Era: State of the Art.Frontiers in oncology · 2020Review
- Unraveling the Complexity of the Cancer Microenvironment With Multidimensional Genomic and Cytometric Technologies.Frontiers in oncology · 2020Review
- Epigenetic changes in fibroblasts drive cancer metabolism and differentiation.Endocrine-related cancer · 2019Review
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 at 2 institutions in 1 country.
Funding
Abstract
Epigenomics encompasses studies of the chemical modifications of genomic DNA and associated histones, interactions between genomic DNA sequences and proteins, the dynamics of the chromosomal conformation, the functional relationships between these epigenetic events, and the regulatory impacts of these epigenetic events on gene expression in cells. In comparison to current techniques that are only capable of characterizing average epigenomic features across bulk cell ensembles, single-cell epigenomic methodologies are emerging as powerful new techniques to study cellular plasticity and heterogeneity, as seen in stem cells and cancer. Here we summarize available techniques for studies of single-cell epigenomics, review their current applications to cancer research, and discuss future possibilities. This review also highlights that the full potential of single-cell epigenetic studies will be comprehended through integrating the multi-omics information of genomics, epigenomics and transcriptomics.
Indexed as
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What 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.