Evidence map›Paper›PMID 38618265›Full record

ArticleReports of biochemistry & molecular biology2023

SARS-CoV-2 and Its Omicron Variants Detection with RT-RPA -CRISPR/Cas13a-Based Method at Room Temperature.

Jia Li, Xiaojun Wang, Liujie Chen, Lili Duan, Fenghua Tan, Kai Li, Zheng Hu

Open access · hybridAbstract read
In one paragraph

Article in Reports of biochemistry & molecular biology, 2023. 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
0.2field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Jia LiThese authors contributed equally to this work.
Xiaojun WangThese authors contributed equally to this work.
Liujie ChenThe First Clinical College of Xiangnan University, the First People's Hospital of Chenzhou Affiliated Xiangnan University, Chenzhou 423000, Hunan, China.
Lili DuanThe First Clinical College of Xiangnan University, the First People's Hospital of Chenzhou Affiliated Xiangnan University, Chenzhou 423000, Hunan, China.
Fenghua TanThe First Clinical College of Xiangnan University, the First People's Hospital of Chenzhou Affiliated Xiangnan University, Chenzhou 423000, Hunan, China.
Kai LiTranslational Medicine Institute, the First People's Hospital of Chenzhou, Hengyang Medical School, University of South China, Chenzhou 423000, Hunan, China.
Zheng HuThe First Clinical College of Xiangnan University, the First People's Hospital of Chenzhou Affiliated Xiangnan University, Chenzhou 423000, Hunan, China.
Chenzhou First People's Hospital · CNHunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has triggered a global health crisis, with genetic mutations and evolution further creating uncertainty about epidemic risk. It is imperative to rapidly determine the nucleic acid sequence of SARS-CoV-2 and its variants to combat the coronavirus pandemic. Our goal was to develop a rapid, room-temperature, point-of-care (POC) detection system to determine the nucleic acid sequences of SARS-CoV-2 isolates, especially omicron variants. Methods: Based on the conserved nucleotide sequence of SARS-CoV-2, bioinformatics software was used to analyze, design, and screen optimal enzymatic isothermal amplification primers and efficient CRISPR RNAs (crRNAs) of CRISPR/Cas13a to the target sequences. Reverse transcription-recombinase polymerase amplification (RT-RPA) was used to amplify the virus, and CRISPR/Cas13a-crRNA was used to cleave the SARS-CoV-2 target sequence. The sensitivity of nucleic acid detection was assessed by serial dilution of plasmid templates. All reactions were performed at room temperature. Results: RT-RPA, combined with CRISPR/Cas13a, can detect the SARS-CoV-2 with a minimum content of 10 Conclusions: The method developed in this study has potential application in clinical detection of SARS-CoV-2 and its omicron variants.

Indexed as

CRISPR/Cas13aOmicron variantsRT-RPASARS-CoV-2

Identifiers

PMID38618265
PMCPMC11015926
OpenAlexW4394820208

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.