STAR Protocols
Volume 3, Issue 2, 17 June 2022, 101406
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Protocol
An antibody-based proximity labeling protocol to identify biotinylated interactors of SARS-CoV-2

https://doi.org/10.1016/j.xpro.2022.101406Get rights and content
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Highlights

  • Proximity labeling to identify high-confidence SARS-CoV-2 interactors

  • Enrichment of biotinylated proteins by TurboID using anti-biotin antibody

  • A stringent proteomics workflow to filter non-specific co-purified proteins

  • Protocol can be applied to other viral-host protein interaction studies

Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Summary

Elucidating the molecular interactions between virus and host is fundamental to understanding the mechanism of viral pathogenesis. Here, we present a protocol to screen SARS-CoV-2 protein interactors using an antibody-based TurboID proximity labeling approach. This technique directly identifies biotinylated peptides labeled by the TurboID-tagged viral proteins. We describe the steps to prepare biotinylated peptide samples for mass spectrometry analysis and a stringent workflow to identify biotinylated high-confidence interactors of the virus by filtering out non-specific co-purified proteins.

For complete details on the use and execution of this protocol, please refer to Zhang et al. (2022).

Subject areas

Microbiology
Molecular/Chemical Probes
Protein Biochemistry
Proteomics
Mass Spectrometry

Data and code availability

The LC-MS/MS raw data (Zhang et al., 2022) have been deposited to the iProX repository with the dataset identifier (iProX: IPX0002410000) (https://www.iprox.org) or partner repository with the dataset identifier (ProteomeXchange: PXD022086) (http://www.proteomexchange.org).

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