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

Published: 27 June 2023| Version 1 | DOI: 10.17632/kfdxbzwhfj.1
Contributors:
Yun-Bin Lee, Minkyo Jung, Jeesoo Kim, Afandi Charles, Wanda Christ, Jiwoong Kang, Myeong-Gyun Kang, Chulhwan Kwak, Jonas Klingström, Jong-Seo Kim, JiYoung Mun, Hyun-Woo Rhee

Description

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.

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To determine the localization of SARS-CoV-2 viral protein, confocal microscopic imaging, EM (electron microscopic) imaging, and CLEM (correlative light and electron microscopic) imaging were conducted. LC-MS/MS was performed to analyze the interactome of SARS-CoV-2 viral protein. Detailed information is shown at attached files.

Institutions

Seoul National University

Categories

Cell Biology

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