Literature DB >> 33665043

Low compositions of human toll-like receptor 7/8-stimulating RNA motifs in the MERS-CoV, SARS-CoV and SARS-CoV-2 genomes imply a substantial ability to evade human innate immunity.

Chu-Wen Yang1, Mei-Fang Chen2.   

Abstract

BACKGROUND: The innate immune system especially Toll-like receptor (TLR) 7/8 and the interferon pathway, constitutes an important first line of defense against single-stranded RNA viruses. However, large-scale, systematic comparisons of the TLR 7/8-stimulating potential of genomic RNAs of single-stranded RNA viruses are rare. In this study, a computational method to evaluate the human TLR 7/8-stimulating ability of single-stranded RNA virus genomes based on their human TLR 7/8-stimulating trimer compositions was used to analyze 1,002 human coronavirus genomes.
RESULTS: The human TLR 7/8-stimulating potential of coronavirus genomic (positive strand) RNAs followed the order of NL63-CoV > HKU1-CoV >229E-CoV ≅ OC63-CoV > SARS-CoV-2 > MERS-CoV > SARS-CoV. These results suggest that among these coronaviruses, MERS-CoV, SARS-CoV and SARS-CoV-2 may have a higher ability to evade the human TLR 7/8-mediated innate immune response. Analysis with a logistic regression equation derived from human coronavirus data revealed that most of the 1,762 coronavirus genomic (positive strand) RNAs isolated from bats, camels, cats, civets, dogs and birds exhibited weak human TLR 7/8-stimulating potential equivalent to that of the MERS-CoV, SARS-CoV and SARS-CoV-2 genomic RNAs.
CONCLUSIONS: Prediction of the human TLR 7/8-stimulating potential of viral genomic RNAs may be useful for surveillance of emerging coronaviruses from nonhuman mammalian hosts.
© 2021 Yang and Chen.

Entities:  

Keywords:  Immunostimulating RNA motifs; SARS-CoV-2; Toll-like receptor 7/8

Year:  2021        PMID: 33665043      PMCID: PMC7912611          DOI: 10.7717/peerj.11008

Source DB:  PubMed          Journal:  PeerJ        ISSN: 2167-8359            Impact factor:   2.984


  45 in total

1.  Activation of autoreactive B cells by endogenous TLR7 and TLR3 RNA ligands.

Authors:  Nathaniel M Green; Krishna-Sulayman Moody; Michelle Debatis; Ann Marshak-Rothstein
Journal:  J Biol Chem       Date:  2012-09-27       Impact factor: 5.157

Review 2.  How pathogens use linear motifs to perturb host cell networks.

Authors:  Allegra Via; Bora Uyar; Christine Brun; Andreas Zanzoni
Journal:  Trends Biochem Sci       Date:  2014-12-01       Impact factor: 13.807

3.  Presence of Genetic Variants Among Young Men With Severe COVID-19.

Authors:  Caspar I van der Made; Annet Simons; Janneke Schuurs-Hoeijmakers; Guus van den Heuvel; Tuomo Mantere; Simone Kersten; Rosanne C van Deuren; Marloes Steehouwer; Simon V van Reijmersdal; Martin Jaeger; Tom Hofste; Galuh Astuti; Jordi Corominas Galbany; Vyne van der Schoot; Hans van der Hoeven; Wanda Hagmolen Of Ten Have; Eva Klijn; Catrien van den Meer; Jeroen Fiddelaers; Quirijn de Mast; Chantal P Bleeker-Rovers; Leo A B Joosten; Helger G Yntema; Christian Gilissen; Marcel Nelen; Jos W M van der Meer; Han G Brunner; Mihai G Netea; Frank L van de Veerdonk; Alexander Hoischen
Journal:  JAMA       Date:  2020-08-18       Impact factor: 56.272

Review 4.  Stimulation of Innate Immunity by Host and Viral RNAs.

Authors:  Felix Streicher; Nolwenn Jouvenet
Journal:  Trends Immunol       Date:  2019-11-14       Impact factor: 16.687

5.  A comparative study of short linear motif compositions of the influenza A virus ribonucleoproteins.

Authors:  Chu-Wen Yang
Journal:  PLoS One       Date:  2012-06-08       Impact factor: 3.240

6.  ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins.

Authors:  Nguyen Quoc Khanh Le; Edward Kien Yee Yapp; Hui-Yuan Yeh
Journal:  BMC Bioinformatics       Date:  2019-07-06       Impact factor: 3.169

Review 7.  Viral Innate Immune Evasion and the Pathogenesis of Emerging RNA Virus Infections.

Authors:  Tessa Nelemans; Marjolein Kikkert
Journal:  Viruses       Date:  2019-10-18       Impact factor: 5.048

8.  Virus pathogen database and analysis resource (ViPR): a comprehensive bioinformatics database and analysis resource for the coronavirus research community.

Authors:  Brett E Pickett; Douglas S Greer; Yun Zhang; Lucy Stewart; Liwei Zhou; Guangyu Sun; Zhiping Gu; Sanjeev Kumar; Sam Zaremba; Christopher N Larsen; Wei Jen; Edward B Klem; Richard H Scheuermann
Journal:  Viruses       Date:  2012-11-19       Impact factor: 5.048

9.  A survey of genetic variants in SARS-CoV-2 interacting domains of ACE2, TMPRSS2 and TLR3/7/8 across populations.

Authors:  In-Hee Lee; Ji-Won Lee; Sek Won Kong
Journal:  Infect Genet Evol       Date:  2020-08-26       Impact factor: 3.342

10.  Inhibition of SARS-CoV-2 (previously 2019-nCoV) infection by a highly potent pan-coronavirus fusion inhibitor targeting its spike protein that harbors a high capacity to mediate membrane fusion.

Authors:  Shuai Xia; Meiqin Liu; Chao Wang; Wei Xu; Qiaoshuai Lan; Siliang Feng; Feifei Qi; Linlin Bao; Lanying Du; Shuwen Liu; Chuan Qin; Fei Sun; Zhengli Shi; Yun Zhu; Shibo Jiang; Lu Lu
Journal:  Cell Res       Date:  2020-03-30       Impact factor: 25.617

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