Evidence map›Paper›PMID 42079051›Full record

ArticlebioRxiv : the preprint server for biology2026

Proximity proteomics reveals a role for IFI16 during human coronavirus infection.

Sylvester Languon, Ian Bailey, Madeleine Sorensen, Zachary D Miller, Jihui Sha, Jake Dearborn, William Dowell, Tylar Kirch, James Wohlschlegel, Devdoot Majumdar

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sylvester LanguonDept. of Surgery & Biomedical Engineering, Larner School of Medicine, University of Vermont, VT, USA.ORCID 0000-0001-9924-9006
Ian BaileyDivision of Biological Sciences, University of Montana, Montana, MT, USA.
Madeleine SorensenDept. of Surgery & Biomedical Engineering, Larner School of Medicine, University of Vermont, VT, USA.
Zachary D MillerDept. of Surgery & Biomedical Engineering, Larner School of Medicine, University of Vermont, VT, USA.
Jihui ShaDept. of Biological Chemistry, University of California Los Angeles, CA, USA.
Jake DearbornDept. of Surgery & Biomedical Engineering, Larner School of Medicine, University of Vermont, VT, USA.
William DowellDept. of Surgery & Biomedical Engineering, Larner School of Medicine, University of Vermont, VT, USA.
Tylar KirchDept. of Surgery & Biomedical Engineering, Larner School of Medicine, University of Vermont, VT, USA.
James WohlschlegelDept. of Biological Chemistry, University of California Los Angeles, CA, USA.
Devdoot MajumdarDept. of Surgery & Biomedical Engineering, Larner School of Medicine, University of Vermont, VT, USA.ORCID 0000-0002-2541-3851

Funding

Using Dengue Controlled Human Infection Model to Identify Adaptive Immune Correlates of ProtectionP20GM125498 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Kristen Pierce · 2018 to 2026
$24.9M
Vermont Immunology/Infectious Diseases CenterP30GM118228 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2016 to 2021
$6.8M
Vermont Immunology/Infectious Diseases Training GrantT32AI055402 · NIAID · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GARY E WARD · 2005 to 2026
$2.7M
NIAID NIH HHS T32 AI055402NIGMS NIH HHS P20 GM125498NIGMS NIH HHS P30 GM118228
6 · The paper itself

Abstract

Viruses rely on the infected host cell to ensure successful replication and propagation of infection. This is achieved through interactions between virus-encoded proteins and proteins expressed in infected cells. All human coronaviruses (HCoVs) encode 16 non-structural proteins (NSPs) which exhibit some level of similarity in identity and function among the HCoVs. To identify host proteins that are potential interacting partners of HCoV NSPs, we utilized split-TurboID along with mass spectrometry and identified IFN-γ-inducible protein-16 (IFI16) as a proximal partner of SARS-CoV-2 NSP8 and NSP10. To investigate the significance of the association between the NSP8/NSP10 complex and IFI16, we utilized CRISPR-Cas9 to knockout and CRISPRi to knockdown IFI16 in A549 cells and demonstrated that loss or reduced expression of IFI16 leads to a decrease in human coronavirus infection. We further demonstrated that there is reduced viral RNA replication and viral protein synthesis upon loss of IFI16. Interestingly, the loss of IFI16 results in reduced expression of type I IFNs. Taken together, these data suggests that IFI16 promotes human coronavirus infection, and the role IFI16 plays in coronavirus replication is independent of its role as a regulator of type I IFN gene expression.

Indexed as

coronavirusCRISPRIFN-γ-inducible protein-16 (IFI16)Proximity proteomics

Identifiers

PMID42079051
PMCPMC13131676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.