Evidence map›Paper›PMID 37521443›Full record

ArticleHuman gene (Amsterdam, Netherlands)2022

Differential gene expression of SARS-CoV-2 transcriptome provides insight into the design of more sensitive diagnostic tests.

Mohadeseh Ahmadi, Reza Alizadeh-Navaei, Mohammadreza Haghshenas, Tahoora Mousavi, Majid Saeedi, Akbar Hedayatizadeh-Omran, Reza Valadan

Open access · greenAbstract read
In one paragraph

Article in Human gene (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Mohadeseh AhmadiGastrointestinal Cancer Research Center, Non-communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Reza Alizadeh-NavaeiGastrointestinal Cancer Research Center, Non-communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Mohammadreza HaghshenasDepartment of Microbiology, Molecular and Cell-Biology Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Tahoora MousaviMolecular and Cell Biology Research Center, Hemoglobinopathy Institute, Mazandaran University of Medical Sciences, Iran.
Majid SaeediDepartment of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran.
Akbar Hedayatizadeh-OmranGastrointestinal Cancer Research Center, Non-communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Reza ValadanDepartment of Immunology, Molecular and Cell Biology Research Centre, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Mazandaran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coronavirus disease 2019 (COVID-19) pandemic is being addressed through RT-PCR, a frontline diagnostic technique. We evaluated gene expression patterns to improve the accuracy and sensitivity of current diagnostic tests. We downloaded relevant next-generation sequencing (NGS) data from the Sequence Read Archive (SRA) database, checked for quality, and mapped them onto the target reference sequence. It was determined that ORF1ab, N, S, and ORF8 genes are mainly expressed based on the results of the quantitative evaluation after normalization by HPRT and elimination of insufficient expression data. ORF8, ORF3a, and M genes were found to have higher expression values than the E gene as a routine RT-PCR detector gene (p*0.05). M gene expression values are also close to ORF8 values. Taking into account the importance of differential expression of genes in the design of diagnostic kits as well as the findings of from this study, it is likely that the M gene is worth further investigation due to its high expression and low mutation rate.

Indexed as

Covid-19Gene expressionRT-PCRSARS-CoV-2

Identifiers

PMID37521443
PMCPMC9549717
OpenAlexW4304087123

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.