Evidence map›Paper›PMID 36810580›Full record

ArticleMolecular omics2023

Re-mining serum proteomics data reveals extensive post-translational modifications upon Zika and dengue infection.

Kristina Allgoewer, Shaohuan Wu, Hyungwon Choi, Christine Vogel

Open access · greenAbstract read
In one paragraph

Article in Molecular omics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 3 institutions in 3 countries.

Kristina AllgoewerNew York University, Department of Biology, Center for Genomics and Systems Biology, New York, NY, USA. cvogel@nyu.edu.ORCID 0000-0003-4984-6413
Shaohuan WuNew York University, Department of Biology, Center for Genomics and Systems Biology, New York, NY, USA. cvogel@nyu.edu.
Hyungwon ChoiDepartment of Medicine, Yong Loo Lin School of Medicine, National University, Singapore, Singapore.ORCID 0000-0002-6687-3088
Christine VogelNew York University, Department of Biology, Center for Genomics and Systems Biology, New York, NY, USA. cvogel@nyu.edu.ORCID 0000-0002-2856-3118
New York University · USCal Poly Humboldt · USNational University of Singapore · SG

Funding

COVID Supplement - COMPONENT A OF THE COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTERS (CIVICS) PROGRAM TO DESIGN AND EVALUATE INNOVATIVE INFLUENZA VACCINE APPROACHES,75N93019C00052 · NIAID · UNIVERSITY OF GEORGIA · PI ROSS, TED · 2019 to 2025
$74.6M
Next generation gene expression analysisR35GM127089 · NIGMS · NEW YORK UNIVERSITY · PI Christine Vogel · 2018 to 2026
$4.0M
NIAID NIH HHS 75N93019C00052NIGMS NIH HHS R35 GM127089
6 · The paper itself

Abstract

Zika virus (ZIKV) and dengue virus (DENV) are two closely related flaviviruses with similar symptoms. However, due to the implications of ZIKV infections for pregnancy outcomes, understanding differences in their molecular impact on the host is of high interest. Viral infections change the host proteome, including post-translational modifications. As modifications are diverse and of low abundance, they typically require additional sample processing which is not feasible for large cohort studies. Therefore, we tested the potential of next-generation proteomics data in its ability to prioritize specific modifications for later analysis. We re-mined published mass spectra from 122 serum samples from ZIKV and DENV patients for the presence of phosphorylated, methylated, oxidized, glycosylated/glycated, sulfated, and carboxylated peptides. We identified 246 modified peptides with significantly differential abundance in ZIKV and DENV patients. Amongst these, methionine-oxidized peptides from apolipoproteins and glycosylated peptides from immunoglobulin proteins were more abundant in ZIKV patient serum and generate hypotheses on the potential roles of the modification in the infection. The results demonstrate how data-independent acquisition techniques can help prioritize future analyses of peptide modifications.

Indexed as

DengueDengue VirusZika VirusZika Virus InfectionHumansProtein Processing, Post-TranslationalProteomics

Identifiers

PMID36810580
PMCPMC10175154
OpenAlexW4320925155

What Socratic holds

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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.