Evidence map›Paper›PMID 34376762›Full record

ArticleScientific reports2021

Comparative transcriptome analyses reveal genes associated with SARS-CoV-2 infection of human lung epithelial cells.

Darshan S Chandrashekar, Mohammad Athar, Upender Manne, Sooryanarayana Varambally

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  10. S100A8 may govern hyper-inflammation in severe COVID-19.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
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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

4 authors at 1 institution in 1 country.

Darshan S ChandrashekarMolecular and Cellular Pathology, Department of Pathology, Wallace Tumor Institute, University of Alabama at Birmingham, 4th Floor, 20B, Birmingham, AL, 35233, USA. dshimogachandrasheka@uabmc.edu.
Mohammad AtharDepartment of Dermatology, University of Alabama at Birmingham, Birmingham, AL, USA.
Upender ManneMolecular and Cellular Pathology, Department of Pathology, Wallace Tumor Institute, University of Alabama at Birmingham, 4th Floor, 20B, Birmingham, AL, 35233, USA.
Sooryanarayana VaramballyMolecular and Cellular Pathology, Department of Pathology, Wallace Tumor Institute, University of Alabama at Birmingham, 4th Floor, 20B, Birmingham, AL, 35233, USA. soorya@uab.edu.
University of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During 2020, understanding the molecular mechanism of SARS-CoV-2 infection (the cause of COVID-19) became a scientific priority due to the devastating effects of the COVID-19. Many researchers have studied the effect of this viral infection on lung epithelial transcriptomes and deposited data in public repositories. Comprehensive analysis of such data could pave the way for development of efficient vaccines and effective drugs. In the current study, we obtained high-throughput gene expression data associated with human lung epithelial cells infected with respiratory viruses such as SARS-CoV-2, SARS, H1N1, avian influenza, rhinovirus and Dhori, then performed comparative transcriptome analysis to identify SARS-CoV-2 exclusive genes. The analysis yielded seven SARS-CoV-2 specific genes including CSF2 [GM-CSF] (colony-stimulating factor 2) and calcium-binding proteins (such as S100A8 and S100A9), which are known to be involved in respiratory diseases. The analyses showed that genes involved in inflammation are commonly altered by infection of SARS-CoV-2 and influenza viruses. Furthermore, results of protein-protein interaction analyses were consistent with a functional role of CSF2 and S100A9 in COVID-19 disease. In conclusion, our analysis revealed cellular genes associated with SARS-CoV-2 infection of the human lung epithelium; these are potential therapeutic targets.

Indexed as

TranscriptomeAlveolar Epithelial CellsCalgranulin ACalgranulin BCOVID-19Granulocyte-Macrophage Colony-Stimulating FactorHumansSARS-CoV-2Calgranulin ACalgranulin BCSF2 protein, humanGranulocyte-Macrophage Colony-Stimulating FactorS100A8 protein, humanS100A9 protein, human

Identifiers

PMID34376762
PMCPMC8355180
OpenAlexW3187792636

What OpenQuestion holds

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LicenceCC BY
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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.