The physiology of SARS-CoV-2 virus/host interactions is not well understood. To better understand host/virus interactions, we performed a CRISPR activation screen to identify host genes that confer resistance to authentic SARS-CoV-2. This highlighted 34 new candidate genes that may alter the course of infection. We validated that 7 of these genes can suppress authentic SARS-CoV-2 infection, including the innate immune receptor P selectin, which increases SARS-CoV-2 spike-dependent binding to cells, while protecting from infection. P selectin also promotes binding to SARS-CoV-2 variants, SARS-CoV-1, and Middle East respiratory syndrome spike proteins, suggesting a general role for P selectin in highly pathogenic coronavirus infections. Importantly, P selectin protein expression driven by synthetic mRNA can block SARS-CoV-2 infection. Naturally, P selectin is expressed on platelets, and we show that it promotes spike-mediated platelet aggregation. P selectin is also expressed on the endothelium, where SARS-CoV-2 spike interactions are also P selectin dependent. In vivo, SARS-CoV-2 uses P selectin to home to capillary beds where the virus interacts with platelets and endothelium, and blocking this interaction can clear vascular-associated pulmonary SARS-CoV-2.
Cesar L. Moreno, Fernanda V.S. Castanheira, Alberto Ospina Stella, Felicity Chung, Anupriya Aggarwal, Alexander J. Cole, Lipin Loo, Alexander Dupuy, Yvonne X. Kong, Lejla Hagimola, Jemma Fenwick, Paul R. Coleman, Rebecca Carr, Tian Y. Du, Tim Ison, Michelle Newton, Maxwell P. Bui-Marinos, Scott B. Cohen, Jennifer A. Corcoran, Daniel Hesselson, Jennifer R. Gamble, Freda H. Passam, Stuart G. Turville, Paul Kubes, G. Gregory Neely
Usage data is cumulative from November 2025 through July 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 3,662 | 204 |
| 898 | 54 | |
| Figure | 1,002 | 0 |
| Supplemental data | 581 | 6 |
| Citation downloads | 227 | 0 |
| Totals | 6,370 | 264 |
| Total Views | 6,634 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.