ArticleClinical and translational medicine2022
Screening of cell-virus, cell-cell, gene-gene crosstalk among animal kingdom at single cell resolution.
Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- Single-cell and spatial alterations of neural cells and circuits in clinical and translational medicine.Clinical and translational medicine · 2024Article
- Mapping Cell Atlases at the Single-Cell Level.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- SCAR: Single-cell and Spatially-resolved Cancer Resources.Nucleic acids research · 2024Article
- Screening of cell-virus, cell-cell, gene-gene crosstalk among animal kingdom at single cell resolution.Clinical and translational medicine · 2022Article
Corrections and comments
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Authors and funding
36 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe exact animal origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains obscure and understanding its host range is vital for preventing interspecies transmission.
methodsHerein, we applied single-cell sequencing to multiple tissues of 20 species (30 data sets) and integrated them with public resources (45 data sets covering 26 species) to expand the virus receptor distribution investigation. While the binding affinity between virus and receptor is essential for viral infectivity, understanding the receptor distribution could predict the permissive organs and tissues when infection occurs.
resultsBased on the transcriptomic data, the expression profiles of receptor or associated entry factors for viruses capable of causing respiratory, blood, and brain diseases were described in detail. Conserved cellular connectomes and regulomes were also identified, revealing fundamental cell-cell and gene-gene cross-talks from reptiles to humans.
conclusionsOverall, our study provides a resource of the single-cell atlas of the animal kingdom which could help to identify the potential host range and tissue tropism of viruses and reveal the host-virus co-evolution.
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