The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Generation of a Broadly Useful Model for COVID-19 Pathogenesis, Vaccination, and Treatment
Open accessAbstract
COVID-19, caused by SARS-CoV-2, is a virulent pneumonia, with >4,000,000 confirmed cases worldwide and >290,000 deaths as of May 15, 2020. It is critical that vaccines and therapeutics be developed very rapidly. Mice, the ideal animal for assessing such interventions, are resistant to SARS-CoV-2. Here, we overcome this difficulty by exogenous delivery of human ACE2 with a replication-deficient adenovirus (Ad5-hACE2). Ad5-hACE2-sensitized mice developed pneumonia characterized by weight loss, severe pulmonary pathology, and high-titer virus replication in lungs. Type I interferon, T cells, and, most importantly, signal transducer and activator of transcription 1 (STAT1) are critical for virus clearance and disease resolution in these mice. Ad5-hACE2-transduced mice enabled rapid assessments of a vaccine candidate, of human convalescent plasma, and of two antiviral therapies (poly I:C and remdesivir). In summary, we describe a murine model of broad and immediate utility to investigate COVID-19 pathogenesis and to evaluate new therapies and vaccines.
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
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Self-citationclusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Self-citationWang, M., Cao, R., Zhang, L., Yang, X., Liu, J., Xu, M., Shi, Z., Hu, Z., Zhong, W., & Xiao, G. (2020) · Cell Research · doi:10.1038/s41422-020-0282-0 · Cited by 6,958
Clinical and immunological features of severe and moderate coronavirus disease 2019
Chen, G., Wu, D., Guo, W., Cao, Y., Huang, D., Wang, H., Wang, T., Zhang, X., Chen, H., Yu, H., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci137244 · Cited by 4,750
Self-citationCompassionate Use of Remdesivir for Patients with Severe Covid-19
Grein, J., Ohmagari, N., Shin, D., Diaz, G., Asperges, E., Castagna, A., Feldt, T., Green, G., Green, M. L., Lescure, F.-X., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2007016 · Cited by 2,737
Self-citationSusceptibility of ferrets, cats, dogs, and other domesticated animals to SARS–coronavirus 2
Shi, J., Wen, Z., Zhong, G., Yang, H., Wang, C., Huang, B., Liu, R., He, X., Shuai, L., Sun, Z., et al. (2020) · Science · doi:10.1126/science.abb7015 · Cited by 1,911
Cited by
SARS-CoV-2 vaccines in development
Krammer, F. (2020) · Nature · doi:10.1038/s41586-020-2798-3 · Cited by 2,098
Viral targets for vaccines against COVID-19
Dai, L., & Gao, G. F. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-020-00480-0 · Cited by 1,048
T cell responses in patients with COVID-19
Chen, Z., & John Wherry, E. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0402-6 · Cited by 797
Self-citationSARS-CoV-2 Omicron virus causes attenuated disease in mice and hamsters
Halfmann, P. J., Iida, S., Iwatsuki-Horimoto, K., Maemura, T., Kiso, M., Scheaffer, S. M., Darling, T. L., Joshi, A., Loeber, S., Singh, G., et al. (2022) · Nature · doi:10.1038/s41586-022-04441-6 · Cited by 694
Self-citationA Mouse-Adapted SARS-CoV-2 Induces Acute Lung Injury and Mortality in Standard Laboratory Mice
Leist, S. R., Dinnon, K. H., Schäfer, A., Tse, L. V., Okuda, K., Hou, Y. J., West, A., Edwards, C. E., Sanders, W., Fritch, E. J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.050 · Cited by 613
Metadata
- Authors
- Sun, J., Zhuang, Z., Zheng, J., Li, K., Wong, R. L.-Y., Liu, D., Huang, J., He, J., Zhu, A., Zhao, J., Li, X., Xi, Y., Chen, R., Alshukairi, A. N., Chen, Z., Zhang, Z., Chen, C., Huang, X., Li, F., Lai, X., Chen, D., Wen, L., Zhuo, J., Zhang, Y., Wang, Y., Huang, S., Dai, J., Shi, Y., Zheng, K., Leidinger, M. R., Chen, J., Li, Y., Zhong, N., Meyerholz, D. K., McCray, P. B., Perlman, S., & Zhao, J.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 182
- Issue
- 3
- Pages
- 734-743.e5
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W3033950875
- Cited by
- 447
- References
- 44
- FWCI
- 11.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Generation of a Broadly Useful Model for COVID-19 Pathogenesis, Vaccination, and Treatment. https://app.cochat.ai/papers/10.1016/j.cell.2020.06.010
- The paper
- Sun, J., Zhuang, Z., Zheng, J., Li, K., Wong, R. L.-Y., Liu, D., Huang, J., He, J., Zhu, A., Zhao, J., Li, X., Xi, Y., Chen, R., Alshukairi, A. N., Chen, Z., Zhang, Z., Chen, C., Huang, X., Li, F., . . . Zhao, J. (2020). Generation of a Broadly Useful Model for COVID-19 Pathogenesis, Vaccination, and Treatment. Cell. https://doi.org/10.1016/j.cell.2020.06.010
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.
