Evidence map›Paper›PMID 36591156›Full record

ArticleACS omega2022

Recombinase-Aided Amplification Combined with Lateral Flow (LF-RAA) Assay for Rapid AAV Genome Detection.

Kun Wang, Ruolan Huang, Liyun Zhang, Dan Liu, Yong Diao

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 6 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

5 authors at 1 institution in 1 country.

Kun WangDepartment of Biological Engineering, School of Medicine, Huaqiao University, Quanzhou 362021, China.
Ruolan HuangDepartment of Biological Engineering, School of Medicine, Huaqiao University, Quanzhou 362021, China.
Liyun ZhangDepartment of Biological Engineering, School of Medicine, Huaqiao University, Quanzhou 362021, China.
Dan LiuDepartment of Biological Engineering, School of Medicine, Huaqiao University, Quanzhou 362021, China.ORCID https://orcid.org/0000-0001-8751-3455
Yong DiaoDepartment of Biological Engineering, School of Medicine, Huaqiao University, Quanzhou 362021, China.
Huaqiao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adeno-associated virus (AAV) is a versatile gene vector that is widely used in mammalian research. In basic studies and large-scale AAV production, genetic testing is ubiquitous and routine polymerase chain reaction (PCR)-based tests limit the efficiency due to the labor-intensive and time-consuming requirements of thermal cycling. This study introduces an assay based on recombinase-aided amplification combined with lateral flow (LF-RAA), which can quickly and accurately detect the AAV genome, thus improving the efficiency of AAV research and production. This application is the first use of an RAA approach to AAV genome detection. In this point-of-care testing (POCT) detection platform, the RAA reaction and LF readout are integrated into a user-friendly microfluidic chip that can be applied without advanced technical training. The LF-RAA chip provides high sensitivity, with a limit of detection of 10 copies/μL, and generates results quickly, and it only needs to be incubated for 10 min at a constant temperature, that is, 39 °C. Results are visualized on the LF Dipstick, and detection results are reliable, validated with 100% accuracy in 47 laboratory-produced recombination adeno-associated virus (rAAV) samples carrying target genes from several different viruses. The LF-RAA assay is applicable in AAV research and production processes requiring genome identification.

Identifiers

PMID36591156
PMCPMC9798390
OpenAlexW4311602389

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.