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Abstract

Viral replication is dependent on interactions between viral polypeptides and host proteins. Identifying virus-host protein interactions can thus uncover unique opportunities for interfering with the virus life cycle via novel drug compounds or drug repurposing. Importantly, many viral-host protein interactions take place at intracellular membranes and poorly soluble organelles, which are difficult to profile using classical biochemical purification approaches. Applying proximity-dependent biotinylation (BioID) with the fast-acting miniTurbo enzyme to 27 SARS-CoV-2 proteins in a lung adenocarcinoma cell line (A549), we detected 7810 proximity interactions (7382 of which are new for SARS-CoV-2) with 2242 host proteins (results available at covid19interactome.org). These results complement and dramatically expand upon recent affinity purification-based studies identifying stable host-virus protein complexes, and offer an unparalleled view of membrane-associated processes critical for viral production. Host cell organellar markers were also subjected to BioID in parallel, allowing us to propose modes of action for several viral proteins in the context of host proteome remodelling. In summary, our dataset identifies numerous high confidence proximity partners for SARS-CoV-2 viral proteins, and describes potential mechanisms for their effects on specific host cell functions.

Abstract summary

Claude Opus 5.5 · xhigh effort · 2 Nov 2026 · from the abstract · CC BY-NC-ND 4.0

Proximity-dependent biotinylation of 27 SARS-CoV-2 proteins in A549 cells maps 7810 virus-host proximity interactions across 2242 host proteins, including membrane-associated partners missed by affinity purification.

Many interactions between viral polypeptides and host proteins occur at poorly soluble organelles and intracellular membranes that are difficult to profile with classical biochemical purification. Using proximity-dependent biotinylation (BioID) complements affinity purification studies of stable complexes by capturing membrane-associated virus-host proximity interactions.

Key results

  1. ShownProximity-dependent biotinylation of 27 SARS-CoV-2 viral proteins in A549 cells identified thousands of virus-host proximity interactions, most of which had not previously been reported for SARS-CoV-2.

    Detected 7810 proximity interactions (including 7382 new interactions for SARS-CoV-2) involving 2242 host proteins across 27 viral baits in A549 cells. · Abstract

  2. SuggestedParallel BioID profiling of host organellar markers alongside viral proteins enabled the authors to propose mechanisms for how several SARS-CoV-2 proteins remodel the host proteome and affect host cell functions.

    Qualitative integration of parallel BioID data from host cell organellar markers with the 27 viral protein proximity profiles in A549 cells; specific quantitative metrics are not reported in the abstract. · Abstract

Methods, data and reproducibility

Applied proximity-dependent biotinylation (BioID) using the fast-acting miniTurbo enzyme to 27 SARS-CoV-2 proteins and parallel host cell organellar markers in A549 lung adenocarcinoma cells to map virus-host proximity interactions.

  • A549 lung adenocarcinoma cell line expressing 27 SARS-CoV-2 proteins and host organellar markers · human (A549 lung adenocarcinoma cell line), SARS-CoV-2 · n = 27 SARS-CoV-2 proteins; 7810 proximity interactions with 2242 host proteins
Methods & tools
BioID, miniTurbo
Limitations (2)
  • All proximity interactions were profiled in a single lung adenocarcinoma cell line (A549). · noted in this summary
  • Proposed modes of action for viral proteins in host proteome remodelling are described without functional perturbation validation in the abstract. · noted in this summary

Read this if you study SARS-CoV-2 host-virus protein interactions or need a proximity interactome of membrane-associated host factors in A549 cells.

Citations
101

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