Evidence map›Paper›PMID 41620608›Full record

ArticleGenome biology2026

Comprehensive profiling of CRISPR/dCas9 epigenome editors indicates a complex link between on and off target effects.

Majid Pahlevan Kakhki, Fatemeh Rangani, Ewoud Ewing, Chiara Starvaggi Cucuzza, Galina Zheleznyakova, Maria Kalomoiri, Lea Kenny, Anika Raghavan, Chandana Rao Prakash, Gabe van den Hoeven and 6 more

Abstract read
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Epigenome Editing for Cannabinoid Yield: Targets, Tools, and Priorities inInternational journal of molecular sciences · 2026
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Majid Pahlevan KakhkiDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden. majid.pahlevan.kakhki@ki.se.
Fatemeh RanganiDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Ewoud EwingDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Chiara Starvaggi CucuzzaDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Galina ZheleznyakovaDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Maria KalomoiriDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Lea KennyDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Anika RaghavanDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Chandana Rao PrakashDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Gabe van den HoevenDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Tejaswi Venkata S BadamDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Ruxandra CovacuDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Ioanna AndreouNGS Applications Development, Research and Development, QIAGEN GmbH, Hilden, Germany.
Maria NeedhamsenDepartment of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Lara Kular *Department of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Maja Jagodic *Department of Clinical Neuroscience, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden. maja.jagodic@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCRISPR/dCas9-based epigenome editing systems, including DNA methylation epimodifiers, have greatly advanced molecular functional studies, revolutionizing their precision and applicability. Despite their promise, challenges such as the magnitude and stability of the on-target editing and unwanted off-target effects underscore the need for improved tool characterization and design.

resultsWe systematically compare specific targeting and genome-wide off-target effects of available and novel dCas9-based DNA methylation editing tools over time. We demonstrate that multimerization of the catalytic domain of DNA methyltransferase 3A enhances editing potency but also induces widespread, early methylation deposition at low-to-medium methylated promoter-related regions with specific gRNAs and also with non-targeting gRNAs. A small fraction of the methylation changes associated with transcriptional dysregulation and mapped predominantly to bivalent chromatin associating both with transcriptional repression and activation. Additionally, specific non-targeting control gRNAs cause pervasive and long-lasting methylation-independent transcriptional alterations particularly in genes linked to RNA and energy metabolism. CRISPRoff emerges as the most efficient tool for stable promoter targeting, with fewer and less stable off-target effects compared to other epimodifiers but with persistent transcriptome alterations.

conclusionsOur findings highlight the delicate balance between potency and specificity of epigenome editing and provide critical insights into the design and application of future tools to improve their precision and minimize unintended consequences.

Indexed as

CRISPR-Cas SystemsEpigenomeEpigenome EditingGene EditingDNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3AHumansPromoter Regions, GeneticRNA, Guide, CRISPR-Cas SystemsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ARNA, Guide, CRISPR-Cas SystemsCRISPR/dCas9DNA methylationDNMT3AEpigeneticsEpigenome EditingGene expression

Identifiers

PMID41620608
PMCPMC12924462

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Registered trials

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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.