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Qi C, Wang C, Zhao L, et al. SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues. Nucleic Acids Res. 2022;50:D867-D874doi: 10.1093/nar/gkab881.
Qi, C., Wang, C., Zhao, L., Zhu, Z., Wang, P., Zhang, S., Cheng, L., & Zhang, X. (2022). SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues. Nucleic acids research, 50D867-D874. https://doi.org/10.1093/nar/gkab881
Qi, Changlu, et al. "SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues." Nucleic acids research vol. 50 (2022): D867-D874. doi: https://doi.org/10.1093/nar/gkab881
Qi C, Wang C, Zhao L, Zhu Z, Wang P, Zhang S, Cheng L, Zhang X. SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues. Nucleic Acids Res. 2022 Jan 07;50:D867-D874. doi: 10.1093/nar/gkab881. PMID: 34634820; PMCID: PMC8524591.
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Nucleic Acids Res. 2022 Jan 07;50:D867-D874. doi: 10.1093/nar/gkab881.

SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues.

Nucleic acids research

Changlu Qi, Chao Wang, Lingling Zhao, Zijun Zhu, Ping Wang, Sainan Zhang, Liang Cheng, Xue Zhang

Affiliations

  1. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  2. Faculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
  3. NHC and CAMS Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University, Harbin, Heilongjiang 150028, China.
  4. McKusick-Zhang Center for Genetic Medicine, Peking Union Medical College, Beijing 100005, China.

PMID: 34634820 PMCID: PMC8524591 DOI: 10.1093/nar/gkab881

Abstract

SCovid (http://bio-annotation.cn/scovid) aims at providing a comprehensive resource of single-cell data for exposing molecular characteristics of coronavirus disease 2019 (COVID-19) across 10 human tissues. COVID-19, an epidemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been found to be accompanied with multiple-organ failure since its first report in Dec 2019. To reveal tissue-specific molecular characteristics, researches regarding to COVID-19 have been carried out widely, especially at single-cell resolution. However, these researches are still relatively independent and scattered, limiting the comprehensive understanding of the impact of virus on diverse tissues. To this end, we developed a single-cell atlas of COVID-19. Firstly we collected 21 single-cell datasets of COVID-19 across 10 human tissues paired with control datasets. Then we constructed a pipeline for the analysis of these datasets to reveal molecular characteristics of COVID-19 based on manually annotated cell types. The current version of SCovid documents 1 042 227 single cells of 21 single-cell datasets across 10 human tissues, 11 713 stably expressed genes and 3778 significant differentially expressed genes (DEGs). SCovid provides a user-friendly interface for browsing, searching, visualizing and downloading all detailed information.

© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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