Evidence map›Paper›PMID 33832440›Full record

ArticleBMC bioinformatics2021

Common low complexity regions for SARS-CoV-2 and human proteomes as potential multidirectional risk factor in vaccine development.

Aleksandra Gruca, Joanna Ziemska-Legiecka, Patryk Jarnot, Elzbieta Sarnowska, Tomasz J Sarnowski, Marcin Grynberg

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Aleksandra GrucaDepartment of Computer Networks and Systems, Silesian University of Technology, Gliwice, Poland.
Joanna Ziemska-LegieckaInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.
Patryk JarnotDepartment of Computer Networks and Systems, Silesian University of Technology, Gliwice, Poland.
Elzbieta SarnowskaDepartment of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
Tomasz J SarnowskiInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.
Marcin GrynbergInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland. greenb@ibb.waw.pl.
Institute of Biochemistry and Biophysics, Polish Academy of Sciences · PLSilesian University of Technology · PLThe Maria Sklodowska-Curie National Research Institute of Oncology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid spread of the COVID-19 demands immediate response from the scientific communities. Appropriate countermeasures mean thoughtful and educated choice of viral targets (epitopes). There are several articles that discuss such choices in the SARS-CoV-2 proteome, other focus on phylogenetic traits and history of the Coronaviridae genome/proteome. However none consider viral protein low complexity regions (LCRs). Recently we created the first methods that are able to compare such fragments.

resultsWe show that five low complexity regions (LCRs) in three proteins (nsp3, S and N) encoded by the SARS-CoV-2 genome are highly similar to regions from human proteome. As many as 21 predicted T-cell epitopes and 27 predicted B-cell epitopes overlap with the five SARS-CoV-2 LCRs similar to human proteins. Interestingly, replication proteins encoded in the central part of viral RNA are devoid of LCRs.

conclusionsSimilarity of SARS-CoV-2 LCRs to human proteins may have implications on the ability of the virus to counteract immune defenses. The vaccine targeted LCRs may potentially be ineffective or alternatively lead to autoimmune diseases development. These findings are crucial to the process of selection of new epitopes for drugs or vaccines which should omit such regions.

Indexed as

ProteomeSequence HomologyCoronavirus Nucleocapsid ProteinsCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansPhosphoproteinsPhylogenyRisk FactorsRNA-Dependent RNA PolymeraseSARS-CoV-2Spike Glycoprotein, CoronavirusViral Nonstructural ProteinsCoronavirus Nucleocapsid ProteinsCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteNsp3 protein, SARS-CoVnucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsProteomeRNA-Dependent RNA PolymeraseSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Viral Nonstructural ProteinsCoronavirusCOVID-19EpitopeHumanLow complexity regionnsp3Nucleocapsid protein (n)SARS-CoV-2Sequence conservationSpike glycoprotein (s)

Identifiers

PMID33832440
PMCPMC8027979
OpenAlexW3149462980

What OpenQuestion holds

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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.