Evidence map›Paper›PMID 35579274›Full record

ArticleMolecular systems biology2022

Human phospho-signaling networks of SARS-CoV-2 infection are rewired by population genetic variants.

Diogo Pellegrina, Alexander T Bahcheli, Michal Krassowski, Jüri Reimand

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Systems Virology at Scale.Current opinion in systems biology · 2025
    Article
  3. KAP1 in antiviral immunity: dual roles in viral silencing and immune regulation.Frontiers in cellular and infection microbiology · 2025
    Review
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Review
  10. Review
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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

4 authors at 2 institutions in 2 countries.

Diogo Pellegrina *Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0001-6423-5093
Alexander T Bahcheli *Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0001-6095-0233
Michal KrassowskiMedical Sciences Division, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.ORCID 0000-0002-9638-7785
Jüri ReimandComputational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0002-2299-2309
Ontario Institute for Cancer Research · CAUniversity of Oxford · GB

Funding

CIHR PJT-162410
6 · The paper itself

Abstract

SARS-CoV-2 infection hijacks signaling pathways and induces protein-protein interactions between human and viral proteins. Human genetic variation may impact SARS-CoV-2 infection and COVID-19 pathology; however, the genetic variation in these signaling networks remains uncharacterized. Here, we studied human missense single nucleotide variants (SNVs) altering phosphorylation sites modulated by SARS-CoV-2 infection, using machine learning to identify amino acid substitutions altering kinase-bound sequence motifs. We found 2,033 infrequent phosphorylation-associated SNVs (pSNVs) that are enriched in sequence motif alterations, potentially reflecting the evolution of signaling networks regulating host defenses. Proteins with pSNVs are involved in viral life cycle and host responses, including RNA splicing, interferon response (TRIM28), and glucose homeostasis (TBC1D4) with potential associations with COVID-19 comorbidities. pSNVs disrupt CDK and MAPK substrate motifs and replace these with motifs of Tank Binding Kinase 1 (TBK1) involved in innate immune responses, indicating consistent rewiring of signaling networks. Several pSNVs associate with severe COVID-19 and hospitalization (STARD13, ARFGEF2). Our analysis highlights potential genetic factors contributing to inter-individual variation of SARS-CoV-2 infection and COVID-19 and suggests leads for mechanistic and translational studies.

Indexed as

COVID-19Genetics, PopulationHumansImmunity, InnateSARS-CoV-2Viral ProteinsViral Proteins

Identifiers

PMID35579274
PMCPMC9112486
OpenAlexW4280588204

What Socratic 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 Socratic graph.