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

TY - JOUR

T1 - Re-mining serum proteomics data reveals extensive post-translational modifications upon Zika and dengue infection

AU - Allgoewer, Kristina

AU - Wu, Shaohuan

AU - Choi, Hyungwon

AU - Vogel, Christine

PY - 2023/5/9

Y1 - 2023/5/9

N2 - 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.

AB - 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.

KW - Humans

KW - Zika Virus

KW - Zika Virus Infection/diagnosis

KW - Dengue/diagnosis

KW - Dengue Virus

KW - Proteomics

KW - Protein Processing, Post-Translational

U2 - 10.1039/d2mo00258b

DO - 10.1039/d2mo00258b

M3 - SCORING: Journal article

C2 - 36810580

VL - 19

SP - 308

EP - 320

JO - MOL OMICS

JF - MOL OMICS

SN - 2515-4184

IS - 4

ER -