Evidence map›Paper›PMID 41505099›Full record

ArticleNucleic acids research2026

Enhanced SfaTnpB enables single-base-specific, one-pot nucleic acid detection for high-sensitivity diagnostics.

Bingrong Xu, Sheng Li, Yong Li, Shuhong Zhao, Xinyun Li, Jianlin Han, Di Wu, Shuaicheng Li, Ling Chen, Shengsong Xie and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 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

12 authors.

Bingrong XuKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, P.R. China.
Sheng LiKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, P.R. China.
Yong LiYazhouwan National Laboratory, Sanya 572024, P.R. China.
Shuhong ZhaoKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, P.R. China.ORCID 0000-0002-3997-2320
Xinyun LiKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, P.R. China.ORCID 0000-0002-7943-1713
Jianlin HanYazhouwan National Laboratory, Sanya 572024, P.R. China.
Di WuDepartment of Computer Science, City University of Hong Kong, Hong Kong 999077, P.R. China.
Shuaicheng LiDepartment of Computer Science, City University of Hong Kong, Hong Kong 999077, P.R. China.ORCID 0000-0001-6246-6349
Ling ChenDepartment of Pathology, Tianjin Central Hospital of Gynecology and Obstetrics, Tianjin 300100, P.R. China.
Shengsong XieKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, P.R. China.ORCID 0000-0002-8301-877X
Xiaosong HanYazhouwan National Laboratory, Sanya 572024, P.R. China.
Changzhi ZhaoKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, P.R. China.ORCID 0009-0006-4470-9259

Funding

Basic Research Project of Yazhouwan National Laboratory SH23YCKY01National Key Research & Developmental Program of China 2023YFF1001000Natural Science Foundation of China 32202634Yazhouwan National Laboratory
6 · The paper itself

Abstract

CRISPR/Cas12-based nucleic acid detection has revolutionized molecular diagnostics but shows limited single-nucleotide specificity, limited high-fidelity subtype discrimination, and limited compatibility with one-pot assays, restricting its broader clinical application. Here, we report a transposon-associated transposase B (TnpB) ortholog, SfaTnpB, with high trans-cleavage activity, robust single-base mismatch discrimination, and broad temperature tolerance. By stepwise engineering of its guide RNA (ωRNA), we developed an enhanced SfaTnpB (enSfaTnpB) system with markedly improved trans-cleavage efficiency. In combination with a TAM-independent split-activator strategy, this system enables precise detection of single-nucleotide polymorphisms. We further developed TOPIC (TnpB-based One-Pot nucleIC acid detection), a one-pot detection platform coupling enSfaTnpB with recombinase-aided amplification (RAA) or loop-mediated isothermal amplification that enables ultrasensitive detection of human papillomavirus (HPV) subtypes 16 and 18 (∼4 copies/μl) and African swine fever virus DNA (∼3 copies/μl). Finally, RAA-TOPIC accurately detected and genotyped 14 high-risk HPV subtypes with high-fidelity subtype discrimination, showing complete concordance with quantitative real-time PCR-based clinical diagnostics. These findings establish TOPIC as a compact, programmable, and scalable molecular detection tool with broad potential for precision diagnostics and point-of-care testing, particularly in resource-limited settings.

Indexed as

Nucleic Acid Amplification TechniquesTransposasesHumansPolymorphism, Single NucleotideTransposases

Identifiers

PMID41505099
PMCPMC12781874

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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.