Evidence map›Paper›PMID 42634480›Full record

ReviewChemical biology & drug design2026

Chemical and Structural Engineering of Guide RNAs for Precision Genome Editing: From Design Principles to Clinical Applications.

Masaki Kawamata, Satoshi Niwa, Atsushi Suzuki

Abstract readReview
In one paragraph

Review in Chemical biology & drug design, 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

3 authors.

Masaki KawamataConvergence Research Promotion Office, Research Institute for Cell Design Medical Science (RICeD), Yamaguchi University, Ube, Yamaguchi, Japan.ORCID https://orcid.org/0000-0002-2607-9672
Satoshi NiwaDepartment of Oral and Maxillofacial Surgery, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan.ORCID https://orcid.org/0009-0009-4472-4055
Atsushi SuzukiDivision of Organogenesis and Regeneration, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.ORCID https://orcid.org/0000-0002-6347-5498

Funding

Japan Society for the Promotion of Science JP18H04737Japan Society for the Promotion of Science JP18H05102Japan Society for the Promotion of Science JP19H01177Japan Society for the Promotion of Science JP19H05267Japan Society for the Promotion of Science JP20H05040Japan Society for the Promotion of Science JP20H05041Japan Society for the Promotion of Science JP22H00592Japan Society for the Promotion of Science JP22H04698Japan Society for the Promotion of Science JP22H05634Japan Society for the Promotion of Science JP23K18097Japan Society for the Promotion of Science JP23K18579Japan Society for the Promotion of Science JP23K27462Japan Society for the Promotion of Science JP25H00445Japan Society for the Promotion of Science JP25K22439Japan Society for the Promotion of Science JP25K22908MEXT Promotion of Development of a Joint Usage/Research System Project: Coalition of Universities for Research Excellence Program JPMXP1323015486Naito Foundationthe Center for Clinical and Translational Research of Kyushu University Hospitalthe Fukuoka Financial Group Enterprise Development Foundation (KYUTEC)the Medical Research Center Initiative for High Depth Omicsthe Takeda Science Foundation (to M.K., and A.S.), the Uehara Memorial Foundation
6 · The paper itself

Abstract

CRISPR-Cas9 has revolutionised genome editing by enabling efficient and programmable modification of defined DNA sequences, with guide RNAs (gRNAs) serving as indispensable elements that direct Cas9 to specific genomic loci. Initially regarded as auxiliary components, gRNAs are now recognized as critical determinants of editing efficiency and specificity and have attracted growing attention as independent targets for engineering. Chemical modification, sequence optimisation, and structural alteration of gRNAs have been shown to enhance on-target activity, suppress off-target effects and cytotoxicity, and even achieve allele-selective precision editing in a programmable manner. Moreover, advances in artificial intelligence and machine learning have markedly improved the predictive accuracy of gRNA design through large-scale data analysis. Despite rapid progress, a consolidated review that integrates chemical, structural, and computational advances in gRNA engineering and highlights their translational potential for therapeutic genome editing has been lacking. This review uniquely addresses that gap by presenting an integrated framework that connects molecular design principles with clinical applicability.

Indexed as

Gene EditingRNA, Guide, CRISPR-Cas SystemsAnimalsCRISPR-Cas SystemsGenetic EngineeringHumansMachine LearningRNA, Guide, CRISPR-Cas SystemsCRISPR‐Cas9fine‐tuning activitygenome editinggRNA modificationoff‐target

Identifiers

PMID42634480
PMCPMC13501202

What OpenQuestion holds

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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.