Evidence map›Paper›PMID 34113098›Full record

ArticleInternational journal of nanomedicine2021

Taqman-MGB nanoPCR for Highly Specific Detection of Single-Base Mutations.

Zhenrui Xue, Minli You, Ping Peng, Haoyang Tong, Wanghong He, Ang Li, Ping Mao, Ting Xu, Feng Xu, Chunyan Yao

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

10 authors.

Zhenrui Xue *Department of Transfusion Medicine, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, 400038, People's Republic of China.
Minli You *The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.ORCID 0000-0003-3373-8012
Ping Peng *Department of Transfusion Medicine, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, 400038, People's Republic of China.
Haoyang TongThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
Wanghong HeThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
Ang LiKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
Ping MaoDepartment of Transfusion Medicine, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, 400038, People's Republic of China.
Ting XuDepartment of Transfusion Medicine, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, 400038, People's Republic of China.
Feng XuThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
Chunyan YaoDepartment of Transfusion Medicine, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, 400038, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDetection of single-base mutations is important for real-time monitoring of tumor progression, therapeutic effects, and drug resistance. However, the specific detection of single-base mutations from excessive wild-type background sequences with routine PCR technology remains challenging. Our objective is to develop a simple and highly specific qPCR-based single-base mutation detection method.

methodsUsing EGRF T790M as a model, gold nanoparticles at different concentrations were separately added into the Taqman-MGB qPCR system to test specificity improvement, leading to the development of the optimal Taqman-MGB nanoPCR system. Then, these optimal conditions were used to test the range of improvement in the specificity of mutant-type and wild-type templates and the detection limit of mutation abundances in a spiked sample.

resultsThe Taqman-MGB nanoPCR was established based on the traditional qPCR, with significantly suppressed background noise and improved specificity for single-base mutation detection. With EGFR T790M as a template, we demonstrated that our Taqman-MGB nanoPCR system could improve specificity across a wide concentration range from 10

conclusionThe developed Taqman-MGB nanoPCR system could be a powerful tool for clinical single-base mutation detection.

Indexed as

MutationErbB ReceptorsGoldHumansMetal NanoparticlesNeoplasmsReal-Time Polymerase Chain ReactionEGFR protein, humanErbB ReceptorsGoldgold nanoparticlenanoparticle-assisted PCRpoint mutationspecificity

Identifiers

PMID34113098
PMCPMC8185130

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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.