Evidence map›Paper›PMID 34031419›Full record

ArticleNPJ systems biology and applications2021

Comparative transcriptome analysis reveals key epigenetic targets in SARS-CoV-2 infection.

Marisol Salgado-Albarrán, Erick I Navarro-Delgado, Aylin Del Moral-Morales, Nicolas Alcaraz, Jan Baumbach, Rodrigo González-Barrios, Ernesto Soto-Reyes

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 50 citations in OpenAlex.

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  12. Genetic correlations, shared risk genes and immunity landscapes between COVID-19 and venous thromboembolism: evidence from GWAS and bulk transcriptome data.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
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  19. Involvement of epigenetics in affecting host immunity during SARS-CoV-2 infection.Biochimica et biophysica acta. Molecular basis of disease · 2023
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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

7 authors at 4 institutions in 3 countries.

Marisol Salgado-Albarrán *Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, Mexico.ORCID http://orcid.org/0000-0002-7562-1018
Erick I Navarro-Delgado *Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Mexico City, Mexico.ORCID http://orcid.org/0000-0003-1040-3519
Aylin Del Moral-Morales *Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, Mexico.ORCID http://orcid.org/0000-0003-3985-628X
Nicolas AlcarazThe Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0839-8423
Jan BaumbachChair of Computational Systems Biology, University of Hamburg, Hamburg, Germany.ORCID http://orcid.org/0000-0002-0282-0462
Rodrigo González-BarriosUnidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Mexico City, Mexico. rodrigop@ciencias.unam.mx.
Ernesto Soto-ReyesDepartamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, Mexico. esotoreyes@cua.uam.mx.ORCID http://orcid.org/0000-0002-4219-6406
Universidad Autónoma Metropolitana · MXInstituto Nacional de Cancerología · MXUniversität Hamburg · DEUniversity of Copenhagen · DK

Funding

Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) 0284748Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) CVU659273Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) CVU894530Det Frie Forskningsråd (Danish Council for Independent Research) 6108-00038BDeutscher Akademischer Austauschdienst (German Academic Exchange Service) 91693321
6 · The paper itself

Abstract

COVID-19 is an infection caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome coronavirus 2), which has caused a global outbreak. Current research efforts are focused on the understanding of the molecular mechanisms involved in SARS-CoV-2 infection in order to propose drug-based therapeutic options. Transcriptional changes due to epigenetic regulation are key host cell responses to viral infection and have been studied in SARS-CoV and MERS-CoV; however, such changes are not fully described for SARS-CoV-2. In this study, we analyzed multiple transcriptomes obtained from cell lines infected with MERS-CoV, SARS-CoV, and SARS-CoV-2, and from COVID-19 patient-derived samples. Using integrative analyses of gene co-expression networks and de-novo pathway enrichment, we characterize different gene modules and protein pathways enriched with Transcription Factors or Epifactors relevant for SARS-CoV-2 infection. We identified EP300, MOV10, RELA, and TRIM25 as top candidates, and more than 60 additional proteins involved in the epigenetic response during viral infection that has therapeutic potential. Our results show that targeting the epigenetic machinery could be a feasible alternative to treat COVID-19.

Indexed as

COVID-19Epigenesis, GeneticGene Expression ProfilingHumansMiddle East Respiratory Syndrome CoronavirusSARS-CoV-2Severe acute respiratory syndrome-related coronavirusSignal TransductionTranscriptome

Identifiers

PMID34031419
PMCPMC8144203
OpenAlexW3105014258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.