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Abstract

The worldwide SARS-CoV-2 outbreak poses a serious challenge to human societies and economies. SARS-CoV-2 proteins orchestrate complex pathogenic mechanisms that underlie COVID-19 disease. Thus, understanding how viral polypeptides rewire host protein networks enables better-founded therapeutic research. In complement to existing proteomic studies, in this study we define the first proximal interaction network of SARS-CoV-2 proteins, at the whole proteome level in human cells. Applying a proximity-dependent biotinylation (BioID)-based approach greatly expanded the current knowledge by detecting interactions within poorly soluble compartments, transient, and/or of weak affinity in living cells. Our BioID study was complemented by a stringent filtering and uncovered 2,128 unique cellular targets (1,717 not previously associated with SARS-CoV-1 or 2 proteins) connected to the N- and C-ter BioID-tagged 28 SARS-CoV-2 proteins by a total of 5,415 (5,236 new) proximal interactions. In order to facilitate data exploitation, an innovative interactive 3D web interface was developed to allow customized analysis and exploration of the landscape of interactions (accessible at http://www.sars-cov-2-interactome.org/). Interestingly, 342 membrane proteins including interferon and interleukin pathways factors, were associated with specific viral proteins. We uncovered ORF7a and ORF7b protein proximal partners that could be related to anosmia and ageusia symptoms. Moreover, comparing proximal interactomes in basal and infection-mimicking conditions (poly(I:C) treatment) allowed us to detect novel links with major antiviral response pathway components, such as ORF9b with MAVS and ISG20; N with PKR and TARB2; NSP2 with RIG-I and STAT1; NSP16 with PARP9-DTX3L. Altogether, our study provides an unprecedented comprehensive resource for understanding how SARS-CoV-2 proteins orchestrate host proteome remodeling and innate immune response evasion, which can inform development of targeted therapeutic strategies.

Abstract summary

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

Proximity-dependent biotinylation (BioID) of 28 SARS-CoV-2 proteins in human cells maps 5,415 proximal interactions with 2,128 host targets across basal and poly(I:C) conditions.

Defining how SARS-CoV-2 polypeptides remodel host protein networks is necessary to understand COVID-19 pathogenesis, including transient or weak interactions in poorly soluble cellular compartments. Complementing earlier proteomic studies, this work uses proximity-dependent biotinylation (BioID) in living human cells to map the whole-proteome proximal interactome of 28 SARS-CoV-2 proteins under basal and infection-mimicking conditions.

Key results

  1. ShownWhole-proteome BioID profiling of 28 N- and C-terminally tagged SARS-CoV-2 proteins in living human cells identified thousands of host-virus proximal interactions, including membrane proteins in interferon and interleukin signaling and partners of ORF7a and ORF7b potentially linked to anosmia and ageusia.

    Stringent filtering identified 5,415 proximal interactions (5,236 not previously reported) connecting 28 viral proteins to 2,128 unique cellular targets (1,717 not previously linked to SARS-CoV-1 or 2), including 342 membrane proteins. · Abstract

  2. ShownComparing proximal interactomes between basal and poly(I:C) infection-mimicking conditions revealed interactions between SARS-CoV-2 proteins and host antiviral pathway components.

    Identified proximal links pairing NSP16 with PARP9-DTX3L, NSP2 with STAT1 and RIG-I, N with TARB2 and PKR, and ORF9b with ISG20 and MAVS. · Abstract

Methods, data and reproducibility

Twenty-eight SARS-CoV-2 proteins were N- and C-terminally tagged for proximity-dependent biotinylation (BioID) in living human cells under both basal and poly(I:C)-treated conditions, followed by stringent filtering and deployment in an interactive 3D web interface.

  • Whole-proteome BioID proximal interactome of 28 N- and C-terminally tagged SARS-CoV-2 proteins in human cells under basal and poly(I:C) conditions · human; SARS-CoV-2 · n = 28 viral proteins; 2,128 unique cellular targets; 5,415 proximal interactions
Methods & tools
BioID
Limitations (2)
  • Links between ORF7a and ORF7b proximal partners and COVID-19 anosmia or ageusia symptoms are proposed as potential associations without functional validation in the abstract. · noted in this summary
  • The abstract does not state which human cell line was used or whether interactions were validated in live SARS-CoV-2 infection. · noted in this summary

Read this if you study SARS-CoV-2 host-virus protein interactions or innate immune evasion and want a BioID proximity interactome across 28 viral proteins under basal and poly(I:C)-stimulated conditions.

Citations
71

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