Evidence map›Paper›PMID 41001425›Full record

ArticlePhenomics (Cham, Switzerland)2025

SIMPLE: A One-Pot RPA-Cas12b Method for Single Nucleotide Variations Identification with an Expanded Scope and Clinical Applications.

Kaiming Guo, Yongkang Lai, Yiru Han, Linlin Bai, Ting Wang, Shengzhou Wang, Ziqin Zhang, Dianwei Liu, Yanju Chen, Jiulong Zhao and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Phenomics (Cham, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Kaiming Guo *Center for Medical Research and Innovation, Human Phenome Institute, Shanghai Pudong Hospital, Academy for Engineering and Technology, State Key Laboratory of Genetic Engineering, School of Life Science, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, 200438 China.
Yongkang Lai *Department of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, National Key Laboratory of Immunity and Inflammation, Naval Medical University, Shanghai, 200433 China.
Yiru Han *Center for Medical Research and Innovation, Human Phenome Institute, Shanghai Pudong Hospital, Academy for Engineering and Technology, State Key Laboratory of Genetic Engineering, School of Life Science, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, 200438 China.
Linlin BaiCenter for Medical Research and Innovation, Human Phenome Institute, Shanghai Pudong Hospital, Academy for Engineering and Technology, State Key Laboratory of Genetic Engineering, School of Life Science, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, 200438 China.
Ting WangDepartment of Hematology, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036 China.
Shengzhou WangCenter for Medical Research and Innovation, Human Phenome Institute, Shanghai Pudong Hospital, Academy for Engineering and Technology, State Key Laboratory of Genetic Engineering, School of Life Science, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, 200438 China.
Ziqin ZhangCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, 350108 China.
Dianwei LiuCenter for Medical Research and Innovation, Human Phenome Institute, Shanghai Pudong Hospital, Academy for Engineering and Technology, State Key Laboratory of Genetic Engineering, School of Life Science, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, 200438 China.
Yanju ChenCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058 China.
Jiulong ZhaoDepartment of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, National Key Laboratory of Immunity and Inflammation, Naval Medical University, Shanghai, 200433 China.
Yanan PangDepartment of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, National Key Laboratory of Immunity and Inflammation, Naval Medical University, Shanghai, 200433 China.
Feng QianCenter for Medical Research and Innovation, Human Phenome Institute, Shanghai Pudong Hospital, Academy for Engineering and Technology, State Key Laboratory of Genetic Engineering, School of Life Science, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, 200438 China.
Yanni MoShenzhen Customs Information Centre, Shenzhen, 518038 China.
Yongming WangCenter for Medical Research and Innovation, Human Phenome Institute, Shanghai Pudong Hospital, Academy for Engineering and Technology, State Key Laboratory of Genetic Engineering, School of Life Science, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, 200438 China.
Rui WangCenter for Medical Research and Innovation, Human Phenome Institute, Shanghai Pudong Hospital, Academy for Engineering and Technology, State Key Laboratory of Genetic Engineering, School of Life Science, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, 200438 China.ORCID 0009-0008-4754-719X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and reliable nucleic acid detection methods are essential in clinical diagnostics and biotechnology. The clustered regularly interspaced short palindromic repeats (CRISPR) system is emerging as a next-generation nucleic acid detection technology, offering versatility, convenience and rapid detection. However, CRISPR methods are significantly limited by the protospacer adjacent motif (PAM) sequence, and achieving a one-pot reaction for detecting single nucleotide variations (SNVs) within a short time still remains challenging. Here, we developed a comprehensive method for screening PAM sequences, which significantly expands the CRISPR detection scope. Additionally, we also proposed a one-pot CRISPR method, termed "SIMPLE", capable of identifying SNVs within 30 min. We applied the SIMPLE method to the clinical diagnostics of drug-resistant bacteria and the screening of cancer hotspot mutations. The SIMPLE method successfully detected drug-resistant bacteria mediated by canonical PAM TTN sequence with a sensitivity of 10 copies per reaction and achieved 100% consistency with next-generation sequencing results. Furthermore, the SIMPLE method proved effective in detecting hotspot mutations in cancer, even at a low mutation rate of 1% in the presence of high background interference mediated by non-canonical PAM ATN sequence. Therefore, the SIMPLE method not only expands the CRISPR detection scope but also offers a one-pot reaction with high specificity for SNVs identification, making it a promising tool for next-generation molecular diagnostics. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-025-00240-x.

Indexed as

Clustered regularly interspaced short palindromic repeatsMolecular diagnosticsOne-pot detectionSingle nucleotide variationsVisual detection

Identifiers

PMID41001425
PMCPMC12457261

What Socratic holds

Textmetadata
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 Socratic graph.