Evidence map›Paper›PMID 42489285›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Systematic Position Mapping of Split CRISPR-Cas12a Activators Enables Highly Sensitive miRNA Detection and Cancer Cell Stratification.

Xiaoyan Tang, Zhe Li, Yuning Lu, Miao Ma, Zijian Mo, Jiajun Ke, Xinyu Luan, Tiangang Luan, Junqiu Zhai

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

9 authors.

Xiaoyan TangKey Laboratory of Chinese Medicinal Resource from Lingnan, Ministry of Education, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, P. R. China.
Zhe LiGuangdong Provincial Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, P. R. China.
Yuning LuKey Laboratory of Chinese Medicinal Resource from Lingnan, Ministry of Education, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, P. R. China.
Miao MaState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, P. R. China.
Zijian MoKey Laboratory of Chinese Medicinal Resource from Lingnan, Ministry of Education, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, P. R. China.
Jiajun KeKey Laboratory of Chinese Medicinal Resource from Lingnan, Ministry of Education, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, P. R. China.
Xinyu LuanState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, P. R. China.ORCID https://orcid.org/0009-0006-5957-4238
Tiangang LuanSchool of Environmental and Chemical Engineering, Wuyi University, Jiangmen, P. R. China.ORCID https://orcid.org/0000-0002-1546-0902
Junqiu ZhaiKey Laboratory of Chinese Medicinal Resource from Lingnan, Ministry of Education, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, P. R. China.ORCID https://orcid.org/0000-0003-1074-8330

Funding

Guangdong Provincial Basic and Applied Basic Research Fund 2025A1515012805National Natural Science Foundation of China 22127810National Natural Science Foundation of China 22536007
6 · The paper itself

Abstract

Amplification-free Cas12a diagnostics with split crRNA enable rapid and programmable target recognition, yet insufficient understanding of DNA activator architecture prevents predictable control over trans-cleavage activity and sensitivity. Here we systematically map over 200 split DNA activator configurations by introducing nicks at every position across both strands. The mapping reveals that target strand nicks suppress activity with position-dependent severity, while non-target strand nicks enhance activity. Guided by these rules, we engineer an optimized split activator pair that achieves attomolar microRNA detection (LOD: 112 aM), ∼480-fold higher sensitivity than intact activators. The enhanced sensitivity supports multiplexed live-cell profiling of five miRNAs for machine learning-based cancer cell stratification, and is further generalized to non-nucleic acid targets, including APE1 enzyme (0.0073 U/L) and HClO (2.37 pM) through position-informed cleavable sites. This work provides a generalizable methodology for engineering CRISPR-Cas12a performance across diagnostic and biosensing applications.

Indexed as

CRISPR/Cas12aenzyme activity regulationsplit activators

Identifiers

PMID42489285
PMCPMC13393258

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.