Evidence map›Paper›PMID 36818472›Full record

ArticleFrontiers in immunology2022

Differential haplotype expression in class I MHC genes during SARS-CoV-2 infection of human lung cell lines.

Ronaldo da Silva Francisco Junior, Jairo R Temerozo, Cristina Dos Santos Ferreira, Yasmmin Martins, Thiago Moreno L Souza, Enrique Medina-Acosta, Ana Tereza Ribeiro de Vasconcelos

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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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 2 countries.

Ronaldo da Silva Francisco JuniorBioinformatics Laboratory (LABINFO), National Laboratory of Scientific Computation (LNCC/MCTIC), Petrópolis,  Brazil.
Jairo R TemerozoLaboratory on Thymus Research, Oswaldo Cruz Institute (Fiocruz), Rio de Janeiro,  Brazil.
Cristina Dos Santos FerreiraBioinformatics Laboratory (LABINFO), National Laboratory of Scientific Computation (LNCC/MCTIC), Petrópolis,  Brazil.
Yasmmin MartinsInstituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (FCEyN-UBA), Buenos Aires,  Argentina.
Thiago Moreno L SouzaLaboratory of Immunopharmacology, Oswaldo Cruz Institute (IOC), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro,  Brazil.
Enrique Medina-AcostaMolecular Identification and Diagnostics Unit (NUDIM), Laboratory of Biotechnology, Center for Biosciences and Biotechnology, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes,  Brazil.
Ana Tereza Ribeiro de VasconcelosBioinformatics Laboratory (LABINFO), National Laboratory of Scientific Computation (LNCC/MCTIC), Petrópolis,  Brazil.
Laboratório Nacional de Computação Científica · BRFundação Oswaldo Cruz · BRState University of Norte Fluminense · BRUniversity of Buenos Aires · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cell entry of SARS-CoV-2 causes genome-wide disruption of the transcriptional profiles of genes and biological pathways involved in the pathogenesis of COVID-19. Expression allelic imbalance is characterized by a deviation from the Mendelian expected 1:1 expression ratio and is an important source of allele-specific heterogeneity. Expression allelic imbalance can be measured by allele-specific expression analysis (ASE) across heterozygous informative expressed single nucleotide variants (eSNVs). ASE reflects many regulatory biological phenomena that can be assessed by combining genome and transcriptome information. ASE contributes to the interindividual variability associated with the disease. We aim to estimate the transcriptome-wide impact of SARS-CoV-2 infection by analyzing eSNVs. Methods: We compared ASE profiles in the human lung cell lines Calu-3, A459, and H522 before and after infection with SARS-CoV-2 using RNA-Seq experiments. Results: We identified 34 differential ASE (DASE) sites in 13 genes ( Discussion: Independent of gene expression compensation, SARS-CoV-2 infection of human lung cell lines induces transcriptional allelic switching at the MHC loci. This suggests a response mechanism to SARS-CoV-2 infection that swaps HLA alleles with poor epitope binding affinity, an expectation supported by publicly available proteome data.

Indexed as

COVID-19AllelesEpitopesHaplotypesHistocompatibility Antigens Class IHumansLungMethionine AdenosyltransferaseSARS-CoV-2EpitopesHistocompatibility Antigens Class IMAT2A protein, humanMethionine Adenosyltransferaseallele-specific expressionallele swappingCOVID-19haplotype expressionHLA allelesRNA-SeqSARS-CoV-2

Identifiers

PMID36818472
PMCPMC9929942
OpenAlexW4318778231

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.