Evidence map›Paper›PMID 41836275›Full record

ArticleCurrent opinion in biomedical engineering2026

Rewriting the epigenome: CRISPR tools for biological discovery and therapeutics.

Christian P Otero, Lei S Qi

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Christian P OteroDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
Lei S QiDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.

Funding

High resolution dissection of oncogene enhancer networks via CRISPR screening and live-cell imaging.R01CA266470 · NCI · STANFORD UNIVERSITY · PI Lei Stanley Qi · 2022 to 2026
$1.9M
Probing relationships between DNA methylation and cellular senescence with high-throughput CRISPR-based epigenetic editingR21AG077193 · NIA · STANFORD UNIVERSITY · PI QI, LEI STANLEY · 2023 to 2024
$425k
NCI NIH HHS R01 CA266470NIA NIH HHS R21 AG077193
6 · The paper itself

Abstract

The eukaryotic epigenome plays a central role in regulating gene expression, cellular identity, and development through dynamic, multilayered biochemical modifications to DNA, histones, and chromatin architecture. Disruption of these regulatory mechanisms contributes to a wide range of human diseases, including cancer, neurodegenerative disorders, and immunological conditions. Targeted epigenome editing offers promising discovery and therapeutic strategies by enabling the correction of aberrant epigenetic states without the need for permanent changes to the DNA sequence. The catalytically inactive CRISPR-Cas (dCas) molecule fused to epigenetic effector domains has emerged as a versatile platform for programmable, locus-specific modulation of chromatin states. These CRISPR-based epigenetic editors can deposit or remove desired epigenetic marks and alter three-dimensional genome organization to fine-tune gene expression with high specificity. Recent developments have expanded the CRISPR epigenome editing toolbox by introducing new effector domains, improving multiplexing capabilities, and enabling large-scale genetic screening, leading to novel insights into the functional genomics across various cellular contexts. However, clinical translation remains challenged by inefficient delivery and suboptimal editing efficacy in vivo. This review highlights recent advances in CRISPR-based epigenetic editing, with a focus on applications in primary cells, new tool development, and the translational potential of epigenome modulation for safe, durable, and precise therapies.

Identifiers

PMID41836275
PMCPMC12981727

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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.