Sep 2026· Cellular and Molecular Life Sciences· 0 citations
CRISPR and Genetic Engineering
TL;DR
This review synthesizes current advances in CRISPR-based DNA methylation editing for cancer epigenomics, critically evaluates key challenges, including off-target activity, context-dependent outcomes, delivery and durability, and outlines future directions integrating locus-specific editing with multi-omics profiling, machine-learning-guided target selection, and rational combination therapies to accelerate clinical translation.
Abstract
Aberrant DNA methylation is a fundamental hallmark of cancer, characterized by widespread global hypomethylation, focal hypermethylation of key regulatory regions, and extensive disruption of gene regulatory and epigenomic networks. Despite comprehensive methylome profiling and the development of diagnostic and prognostic assays, most cancer-associated methylation changes remain purely correlational, obscuring which marks function as true drivers of tumor phenotypes. Conventional hypomethylating agents can partially reverse these alterations and are clinically effective in selected settings, but their genome-wide activity and lack of locus specificity limit mechanistic insight and precision therapeutic deployment. CRISPR-based DNA methylation editing now offers a powerful strategy to move from association to causality by enabling potentially reversible, locus-specific installation or removal of methylation marks without altering the underlying DNA sequence. By coupling catalytically inactive Cas proteins to methylation “writers” or “erasers” and leveraging modular recruitment platforms, these systems can quantitatively tune methylation at promoters, enhancers, and CpG shores to interrogate gene function, chemoresistance, and immune modulation in diverse cancer models. This review synthesizes current advances in CRISPR-based DNA methylation editing for cancer epigenomics, critically evaluates key challenges, including off-target activity, context-dependent outcomes, delivery and durability, and outlines future directions integrating locus-specific editing with multi-omics profiling, machine-learning-guided target selection, and rational combination therapies to accelerate clinical translation.
An overview of the conceptual and technical foundations of CRISPR-based epigenetic editing, including tools for gene activation and repression, DNA methylation, histone modifications, and multiplexed systems that permit coordinated regulation of multiple genomic loci or epigenetic marks are provided.
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DNA methylation regulates transcription, yet the demethylation of canonical elements like promoter CpG islands exhibits inconsistent correlations with gene activation. We hypothesize that causal regulatory elements are defined by biophysical hypersensitivity. Profiling 24 whole-genome bisulfite sequencing samples acros...
Y.-V. Liu, J. Suryatenggara, H. Wong et al.· Nature Communications· 0 citations
Abstract DNA and RNA methylation are key epigenetic and epitranscriptomic modifications involved in gene regulation, genome stability, RNA metabolism, and disease progression. Aberrant methylation patterns in cell‐free DNA and RNA have emerged as valuable biomarkers for cancer detection, disease monitoring, and therape...
Kai-Xin Chen, Bi-Yao Yang, Rui Sang et al.· Bioengineering & Translation...· 0 citations
The recent integration of methylation readers into various biosensor platforms has enabled a significant advancement in epigenetic analysis, offering rapid, sensitive, and conversion-free DNA methylation detection without the need for relatively complex sample preparation.
Samer Aphrham, M. Verheijden, J. Huskens· ACS Sensors· 0 citations
DNA methylation deregulation is an essential feature of tumor biology, influencing cancer formation and pathogenesis. Analyses of DNA methylation in bulk cancer specimens are challenging due to the high data dimensionality, noise, and mixture of different cell types. Here, we characterized methylation dynamics in cance...
Iñaki Sasiain, D. F. Nacer, M. Jönsson et al.· npj Breast Cancer· 1 citation
Cell-specific epigenetic editing holds very high therapeutic value for atherosclerosis, cardiomyopathy, and fibrosis, provided that delivery, specificity, and safety challenges are also addressed.
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Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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