Evidence map›Paper›PMID 40243059›Full record

ArticleNucleic acids research2025

Nonequilibrium hybridization-driven CRISPR/Cas adapter with extended energetic penalty for discrimination of single-nucleotide variants.

Qiong Liu, Zhou Jiang, Sheng Li, Yinfeng Li, Yingfei Wan, Zhenyu Hu, Shimeng Ma, Zhen Zou, Ronghua Yang

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. 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.

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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

9 authors.

Qiong LiuDepartment of Key Laboratory of Chemical Biology & Traditional Chinese Medicine, Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China.
Zhou JiangDepartment of Thoracic Medicine, Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha 410006, P. R. China.
Sheng LiDepartment of Key Laboratory of Chemical Biology & Traditional Chinese Medicine, Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China.
Yinfeng LiDepartment of Key Laboratory of Chemical Biology & Traditional Chinese Medicine, Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China.
Yingfei WanDepartment of Key Laboratory of Chemical Biology & Traditional Chinese Medicine, Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China.
Zhenyu HuDepartment of Key Laboratory of Chemical Biology & Traditional Chinese Medicine, Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China.
Shimeng MaDepartment of Key Laboratory of Chemical Biology & Traditional Chinese Medicine, Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China.
Zhen ZouDepartment of Key Laboratory of Chemical Biology & Traditional Chinese Medicine, Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China.ORCID 0000-0001-7670-8951
Ronghua YangDepartment of Key Laboratory of Chemical Biology & Traditional Chinese Medicine, Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China.

Funding

Hunan Normal University 2022XKQ0205National Natural Science Foundation of China 22334005Natural Science Foundation of Hunan Province 2022JJ20038Scientific Research Fund of Hunan Provincial Education Department 23A0059
6 · The paper itself

Abstract

Accurate identification of single-nucleotide variants (SNVs) is critical in clinical diagnostics but remains challenging due to subtle free energy variations, particularly for hard-to-detect SNVs such as wobble base pairs and those in high guanine-cytosine (GC) regions. Here we report a high-energetic-penalty SNV detection (HEPSD) platform that redesigns the hybridization regions of CRISPR RNA (crRNA) in the CRISPR/Cas12a system. This system employs a binary crRNA architecture design that enables the activation of the cleavage activity of Cas12a while amplifying the energetic penalty for single-nucleotide mismatches through nonequilibrium hybridization-driven regulation. Consequently, the entire targeting region of CRISPR/Cas exhibits a marked preference for mutations in genomic DNA, while preventing false activation induced by sequences containing a single mismatched nucleotide. Moreover, HEPSD exhibits exceptional differentiation performance for hard-to-detect SNVs including wobble mutations at extreme GC contents. As proof of principle, profiling of BRAF V600E and EGFR L858R tumor mutations down to a 0.01% variant allele frequency was achieved, enabling accurate discrimination of 132 clinical sample pairs, which showed high consistency with quantitative polymerase chain reaction-based techniques and next-generation sequencing. The proven effectiveness of this platform showcases its potential for clinical molecular diagnostics and expands the fundamental scope of hybridization-based protocols.

Indexed as

CRISPR-Cas SystemsPolymorphism, Single NucleotideBacterial ProteinsBase Pair MismatchCRISPR-Associated ProteinsEndodeoxyribonucleasesErbB ReceptorsHumansMutationNucleic Acid HybridizationProto-Oncogene Proteins B-rafRNA, Guide, CRISPR-Cas SystemsBacterial ProteinsBRAF protein, humanCas12a proteinCRISPR-Associated ProteinsEGFR protein, humanEndodeoxyribonucleasesErbB ReceptorsProto-Oncogene Proteins B-rafRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID40243059
PMCPMC12004117

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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.