Evidence map›Paper›PMID 42626210›Full record

ReviewBioengineering & translational medicine2026

CRISPR technologies for detecting DNA and RNA methylation: Mechanisms, platforms, and translational opportunities.

Kaixin Chen, Biyao Yang, Rui Sang, Wenjie Chen, Tingxiu Xiang, Fei Deng

Abstract readReview
In one paragraph

Review in Bioengineering & translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Kaixin ChenSchool of Biomedical Engineering University of New South Wales Sydney Australia.
Biyao YangSchool of Biomedical Engineering University of New South Wales Sydney Australia.ORCID https://orcid.org/0000-0002-8887-5535
Rui SangSchool of Biomedical Engineering University of New South Wales Sydney Australia.ORCID https://orcid.org/0000-0001-8557-2072
Wenjie ChenThe NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences, Department of Emergency, The Second Affiliated Hospital Guangzhou Medical University Guangzhou People's Republic of China.ORCID https://orcid.org/0000-0001-9512-9664
Tingxiu XiangChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Chongqing University Cancer Hospital Chongqing University Chongqing People's Republic of China.ORCID https://orcid.org/0000-0003-4589-0599
Fei DengSchool of Biomedical Engineering University of New South Wales Sydney Australia.ORCID https://orcid.org/0000-0002-5606-0278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 therapeutic stratification. However, conventional methods such as bisulfite sequencing, methylation-specific PCR, MeRIP-seq, SCARLET, and LC-MS/MS often require harsh processing, high sample input, complex instrumentation, or lack site-specific resolution, limiting their clinical and point-of-care applications. CRISPR-based diagnostics provide a promising alternative by combining programmable nucleic acid recognition with collateral cleavage-mediated signal amplification. This review summarizes recent CRISPR strategies for detecting DNA and RNA methylation, including chemical conversion-assisted assays, restriction enzyme-mediated detection, direct amplification-free sensing based on methylation-modulated Cas activity, detection of oxidized cytosine derivatives, reverse transcription-mediated Cas12 detection of m6A, and structure-sensitive Cas13 sensing. We highlight how methylation-dependent sequence conversion, enzyme accessibility, polymerase behavior, and nucleic acid structure can be translated into CRISPR-readable signals. Finally, we discuss current translational challenges and emerging opportunities in point-of-care methylation diagnostics, integrated DNA-RNA profiling, engineered Cas effectors, AI-guided assay design, and CRISPR-compatible methylome analysis.

Indexed as

CRISPR diagnosticsDNA methylationliquid biopsypoint‐of‐care testingRNA methylationtranslational bioengineering

Identifiers

PMID42626210
PMCPMC13490908

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.