The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Interaction of SARS and MERS Coronaviruses with the Antiviral Interferon Response
Open accessAbstract
Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) are the most severe coronavirus (CoV)-associated diseases in humans. The causative agents, SARS-CoV and MERS-CoV, are of zoonotic origin but may be transmitted to humans, causing severe and often fatal respiratory disease in their new host. The two coronaviruses are thought to encode an unusually large number of factors that allow them to thrive and replicate in the presence of efficient host defense mechanisms, especially the antiviral interferon system. Here, we review the recent progress in our understanding of the strategies that highly pathogenic coronaviruses employ to escape, dampen, or block the antiviral interferon response in human cells.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
Li, W., Moore, M. J., Vasilieva, N., Sui, J., Wong, S. K., Berne, M. A., Somasundaran, M., Sullivan, J. L., Luzuriaga, K., Greenough, T. C., et al. (2003) · Nature · doi:10.1038/nature02145 · Cited by 5,923
Virus interference. I. the interferon
Isaacs, A., & Lindenmann, J. (1957) · Proceedings of the Royal Society of London. Series B - Biological Sciences · doi:10.1098/rspb.1957.0048 · Cited by 3,451
Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC
Raj, V. S., Mou, H., Smits, S. L., Dekkers, D. H. W., Müller, M. A., Dijkman, R., Muth, D., Demmers, J. A. A., Zaki, A., Fouchier, R. A. M., et al. (2013) · Nature · doi:10.1038/nature12005 · Cited by 2,061
Self-citationThe history of toll-like receptors - redefining innate immunity
O'Neill, L. A. J., Golenbock, D., & Bowie, A. G. (2013) · Nature reviews. Immunology · doi:10.1038/nri3446 · Cited by 1,765
Antiviral immunity via RIG-I-mediated recognition of RNA bearing 5'-diphosphates
Goubau, D., Schlee, M., Deddouche, S., Pruijssers, A. J., Zillinger, T., Goldeck, M., Schuberth, C., Van der Veen, A. G., Fujimura, T., Rehwinkel, J., et al. (2014) · Nature · doi:10.1038/nature13590 · Cited by 557 · cited 1×
“RIG-I is thereby specific for long dsRNA molecules and short dsRNAs bearing a tri- or di-phosphorylated 50 end, whereas MDA5 senses long dsRNAs, preferentially with a higher-order structure (Binder et al., 2011; Goubau et al., 2014; Pichlmair et al., 2009; Schlee, 2013).”
BackgroundDevaraj, S. G., Wang, N., Chen, Z., Chen, Z., Tseng, M., Barretto, N., Lin, R., Peters, C. J., Tseng, C.-T. K., Baker, S. C., et al. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m704870200 · Cited by 411
Frieman, M. B., Chen, J., Morrison, T. E., Whitmore, A., Funkhouser, W., Ward, J. M., Lamirande, E. W., Roberts, A., Heise, M., Subbarao, K., et al. (2010) · PLoS Pathogens · doi:10.1371/journal.ppat.1000849 · Cited by 158
Cited by
Channappanavar, R., & Perlman, S. (2017) · Seminars in Immunopathology · doi:10.1007/s00281-017-0629-x · Cited by 2,524
Immune responses in COVID-19 and potential vaccines: Lessons learned from SARS and MERS epidemic
(2020) · Asian Pacific Journal of Allergy and Immunology · doi:10.12932/ap-200220-0772 · Cited by 1,537
Activation and evasion of type I interferon responses by SARS-CoV-2
Lei, X., Dong, X., Ma, R., Wang, W., Xiao, X., Tian, Z., Wang, C., Wang, Y., Li, L., Ren, L., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17665-9 · Cited by 980
Evasion of Type I Interferon by SARS-CoV-2
Xia, H., Cao, Z., Xie, X., Zhang, X., Chen, J. Y.-C., Wang, H., Menachery, V. D., Rajsbaum, R., & Shi, P.-Y. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108234 · Cited by 957
Ortiz-Prado, E., Simbaña-Rivera, K., Gómez- Barreno, L., Rubio-Neira, M., Guaman, L. P., Kyriakidis, N. C., Muslin, C., Jaramillo, A. M. G., Barba-Ostria, C., Cevallos-Robalino, D., et al. (2020) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2020.115094 · Cited by 458
Metadata
- Authors
- Kindler, E., Thiel, V., & Weber, F.
- Venue
- Advances in Virus Research
- Publisher
- Elsevier
- Published
- 2016
- Volume
- 96
- Pages
- 219-243
- ISSN
- 0065-3527 (ISSN-L)
- OpenAlex
- W2519279061
- Cited by
- 290
- References
- 7
- FWCI
- 9.37
- Type
- book chapter
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Interaction of SARS and MERS Coronaviruses with the Antiviral Interferon Response. https://app.cochat.ai/papers/10.1016/bs.aivir.2016.08.006
- The paper
- Kindler, E., Thiel, V., & Weber, F. (2016). Interaction of SARS and MERS Coronaviruses with the Antiviral Interferon Response. Advances in Virus Research. https://doi.org/10.1016/bs.aivir.2016.08.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
