2026-10-14T12:10:23Z https://data.mendeley.com/oai

oai:data.mendeley.com/kfdxbzwhfj.1 2023-06-27T19:21:30Z

Lee, Yun-Bin A study of "Super-resolution proximity labeling reveals antiviral protein network and its structural changes against SARS-CoV-2 viral proteins". Lee et al. Mendeley Data SARS-CoV-2 replicates in human cells by interacting with host factors following infection. To understand the virus and host interactome, proximity, we introduce a super-resolution proximity labeling (SR-PL) method with “plug and playable” PL enzyme, TurboID-GBP (GFP binding protein) and we apply it for interactome mapping of SARS-CoV-2 ORF3a and M, which generates highly perturbed ER structures. Through SR-PL analysis of the biotinylated interactome, 224 and 272 peptides are robustly identified as ORF3a and M interactomes, respectively. Within the ORF3a interactome, RNF5 co-localizes with ORF3a and generates ubiquitin modifications of ORF3a that can be involved in protein degradation. We also observe that the SARS-CoV-2 infection rate is efficiently reduced by the overexpression of RNF5 in host cells. The interactome data obtains using the SR-PL method are presented in https://sarscov2.spatiomics.org. We hope that our method will contribute to revealing virus–host interactions of other viruses in an efficient manner. Cell Biology Jung, Minkyo Kim, Jeesoo Charles, Afandi Christ, Wanda Kang, Jiwoong Kang, Myeong-Gyun Kwak, Chulhwan Klingström, Jonas Kim, Jong-Seo Mun, JiYoung Rhee, Hyun-Woo Dataset doi:10.17632/kfdxbzwhfj.1 oai:data.mendeley.com/kfdxbzwhfj.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/kfdxbzwhfj 2023-06-27T19:21:30Z