ReviewTrends in genetics : TIG2019
Live-Animal Epigenome Editing: Convergence of Novel Techniques.
Review in Trends in genetics : TIG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- CRISPR/Cas‑based epigenome editing for osteogenic lineage commitment.Cell and tissue research · 2026Review
- Epigenetic editing: from concept to clinic.Nature reviews. Drug discovery · 2026Review
- Epigenome Engineering Using dCas Systems for Biomedical Applications and Biotechnology: Current Achievements, Opportunities and Challenges.International journal of molecular sciences · 2025Review
- Epigenetics and individuality: from concepts to causality across timescales.Nature reviews. Genetics · 2025Review
- Comparative ethical evaluation of epigenome editing and genome editing in medicine: first steps and future directions.Journal of medical ethics · 2024Article
- Toward the Development of Epigenome Editing-Based Therapeutics: Potentials and Challenges.International journal of molecular sciences · 2023Review
- Functional Validation of the Putative Oncogenic Activity ofBiomedicines · 2022Article
- Future Prospects for Epigenetics in Autism Spectrum Disorder.Molecular diagnosis & therapy · 2022Review
- Gene-Targeted DNA Methylation: Towards Long-Lasting Reprogramming of Gene Expression?Advances in experimental medicine and biology · 2022Review
- Patch-seq: Past, Present, and Future.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Review
- The Epigenetics of Gametes and Early Embryos and Potential Long-Range Consequences in Livestock Species-Filling in the Picture With Epigenomic Analyses.Frontiers in genetics · 2021Review
- Unravelling the role of epigenetics in reproductive adaptations to early-life environment.Nature reviews. Endocrinology · 2020Review
- KRAB-Induced Heterochromatin Effectively SilencesInternational journal of molecular sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Epigenome editing refers to the generation of precise chromatin alterations and their effects on gene expression and cell biology. Until recently, much of the efforts in epigenome editing were limited to tissue culture models of disease. However, the convergence of techniques from different fields including mammalian genetics, virology, and CRISPR engineering is advancing epigenome editing into a new era. Researchers are increasingly embracing the use of multicellular model organisms to test the role of specific chromatin alterations in development and disease. The challenge of successful live-animal epigenomic editing will depend on a well-informed foundation of the current methodologies for cell-specific delivery and editing accuracy. Here we review the opportunities for basic research and therapeutic applications.
Indexed as
Identifiers
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.