Evidence map›Paper›PMID 42822389›Full record

ArticleRedox biology2026

Integrated multi-PTM omics reveals key host pathways in human coronavirus 229E infection.

Xiaolu Li, Adam Kabza, Matthew J Gaffrey, Madelyn R Berger, Song Feng, Austin Gluth, Marina A Gritsenko, Patricia S Miller, Rosalie K Chu, Doo Nam Kim and 5 more

Abstract read
In one paragraph

Article in Redox 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

15 authors.

Xiaolu LiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Adam KabzaBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Matthew J GaffreyBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Madelyn R BergerBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Song FengBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Austin GluthBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Marina A GritsenkoEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Patricia S MillerBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Rosalie K ChuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Doo Nam KimBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Abdullah D ShouaibNuclear Chemical & Biological Technologies Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Katrina M WatersBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Amy C SimsNuclear Chemical & Biological Technologies Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA. Electronic address: amy.sims@pnnl.gov.
Tong ZhangBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA. Electronic address: tong.zhang@pnnl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses manipulate host cellular functions to promote replication and evade antiviral responses, and many processes in host-virus interactions are regulated by protein post-translational modifications (PTMs). While previous studies have examined individual PTMs in host-virus interactions, a comprehensive, multi-PTM perspective of host remodeling during coronavirus infection remains lacking. To address this gap, we applied our multi-PTM omics platform to simultaneously quantify protein abundance, cysteine oxidation, phosphorylation, and lysine acetylation in human lung fibroblasts (MRC5) and epithelial cells (A549) infected with human coronavirus strain 229E (HCoV-229E) at 8, 16, and 24 h post-infection. We observed modest changes in the global host proteome, with only a small fraction of proteins affected even 24 h post-infection. In contrast, host PTM landscapes were rapidly and extensively remodeled, exhibiting pronounced and cell type-specific alterations in redox and phosphorylation states as early as 8 h post-infection. Phosphorylation profiling revealed widespread remodeling of host signaling networks with distinct temporal and directional patterns between MRC5 and A549 cells, while redox profiling uncovered divergent oxidative regulation of proteins involved in infection-related pathways. Notably, a subset of host proteins showed coordinated regulation across multiple PTM types without corresponding changes in abundance, highlighting potential PTM crosstalk during HCoV-229E infection. Among these, heat shock protein 90 beta (HSP90B) displayed dynamic regulation across cysteine oxidation, phosphorylation, and acetylation, and pharmacological inhibition of HSP90B significantly suppressed HCoV-229E replication. Together, these results provide a comprehensive, multi-dimensional view of host PTM remodeling during HCoV-229E infection and demonstrate that integrated multi-PTM omics can reveal functionally relevant host factors and therapeutic vulnerabilities not apparent from protein abundance measurements.

Indexed as

AcetylationCoronavirusHost-directed antiviral targetsHost–virus interactionsMulti-PTMMulti-PTM omicsPhosphorylationPost-translational modificationRedox

Identifiers

PMID42822389
PMCPMC13656748

What OpenQuestion holds

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Registered trials

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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.