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Data · dataset · 2023

A study of "Super-resolution proximity labeling reveals antiviral protein network and its structural changes against SARS-CoV-2 viral proteins". Lee et al.

Listed in Teesside University Research Data Repository

SARS-CoV-2 replicates in human cells by interacting with host factors following infection.

Description

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 sarscov2.spatiomics.org.

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We hope that our method will contribute to revealing virus–host interactions of other viruses in an efficient manner.

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