LRP8 is a Receptor for Yellow Fever Virus
Mei, M.; Yang, Y.; Zhang, Z.; Yin, Y.; Tan, J.; Jiang, C.; Gao, Y.; Wang, Z.; Wang, D.; Li, Y.; Cong, Y.; Zhang, Z.; Peng, Y.; Tan, W.; Li, J.; Li, L.; Wang, H.; Lang, R.; He, Q.; Deng, Z.; huang, X.; Luo, B.; Shan, C.; Zhang, Y.; Mei, L.; Cheng, G.; Tan, X.
Show abstract
Yellow fever virus (YFV), an arbovirus causing substantial human morbidity and mortality, was the first human virus discovered over a century ago. The live-attenuated 17D vaccine is among the most successful vaccines in medicine. Despite the importance of YFV, its receptor has remained unknown. Here, we performed a barcoded, genome-wide human ORF library screen and identified LRP8 (also named APOER2) as a receptor for YFV. We show that LRP8 expression specifically boosts YFV infection in cell lines by promoting entry. AAV-mediated expression of human LRP8 in mouse liver aggravates infection and pathology. LRP8 knockdown abolishes YFV infection in brain cells, primary human hepatocytes, and notably in mosquitoes. Biochemically, LRP8 directly interacts with YFV particles via the viral envelope protein. This function of LRP8 is conserved across species, particularly in mosquitoes and primates. A soluble LRP8 decoy protein can block YFV infection in vitro and in mice, providing a potential therapeutic or prophylactic strategy. Our findings provide groundwork for understanding YFV entry, tropism, and pathogenesis, and may enable development of novel therapeutics to treat YFV infection.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evolution of enhanced innate immune suppression by SARS-CoV-2 Omicron subvariants 98%
- The cut site specificity of the influenza A virus endoribonuclease PA-X allows it to discriminate between host and viral mRNAs 97%
- Goblet cell invasion promotes breaching of respiratory epithelia by an opportunistic human pathogen 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.