Evidence map›Paper›PMID 33654914›Full record

ArticleBio-protocol2019

A Mismatch-tolerant RT-LAMP Method for Molecular Diagnosis of Highly Variable Viruses.

Yingxue Li, Yi Zhou, Yingying Ma, Rong Xu, Xia Jin, Chiyu Zhang

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bio-protocol, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

13 citing papers in PubMed, 25 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Yingxue LiSchool of Life Sciences, Shanghai University, Shanghai, China.
Yi ZhouPathogen Discovery and Big Data Center, CAS Key Laboratory of Molecular Virology & Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
Yingying MaPathogen Discovery and Big Data Center, CAS Key Laboratory of Molecular Virology & Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
Rong XuPathogen Discovery and Big Data Center, CAS Key Laboratory of Molecular Virology & Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
Xia JinViral Disease and Vaccine Translational Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
Chiyu ZhangPathogen Discovery and Big Data Center, CAS Key Laboratory of Molecular Virology & Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
Institut Pasteur of Shanghai · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loop-mediated isothermal amplification (LAMP) has been widely used in the detection of pathogens. However, there are usually numerous variants in one viral pathogen and primers employed in LAMP can hardly match all these variants. The mismatches between the primers and the viral genomes, especially those at the 3'-end of the primers, hinder LAMP reactions, leading to failure of the detection. Here, we present a mismatch-tolerant RT-LAMP protocol, which utilizes the 3'-5' exonuclease activity of the Q5 high-fidelity DNA polymerase to remove potential mismatched bases at the 3'-end of the primers during LAMP amplification. Using HIV-1 as a proof-of-principle, we showed that this protocol could represent a promising tool for accurate detection of genetically unstable viruses in laboratory, hospital and field.

Indexed as

High-fidelity DNA polymeraseHighly variable virusesHIV-1Mismatch-tolerant RT-LAMPMutantVisual detection

Identifiers

PMID33654914
PMCPMC7853955
OpenAlexW2983321172

What OpenQuestion 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 OpenQuestion graph.