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High-resolution proteomics of Zika and Dengue serum samples

ABSTRACT: We used data independent acquisition (DIA) mass spectrometry (MS) to profile ~800 proteinsfrom 122 serum samples Dengue or Zika Trinidadian patients. Two time points were collectedper patient. The DIA MS data were matched against a spectral library generated from high pH/low pH separated pooled serum samples.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

DISEASE(S): Dengue Disease,Zika Fever

SUBMITTER: Shuvadeep Maity

LAB HEAD: Christine Vogel

PROVIDER: PXD015422 | Pride | 2021-03-09

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	180330_01_sample_QC01.raw	Raw
	180330_02_sample_39_patient_54_Dengue_2.raw	Raw
	180330_03_sample_42_patient_26_Zika_2.raw	Raw
	180330_04_sample_51_patient_52_Zika_1.raw	Raw
	180330_05_sample_52_patient_27_Zika_2.raw	Raw

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Publications

New Proteomic Signatures to Distinguish Between Zika and Dengue Infections.

Allgoewer Kristina K Maity Shuvadeep S Zhao Alice A Lashua Lauren L Ramgopal Moti M Balkaran Beni N BN Liu Liyun L Purushwani Savita S Arévalo Maria T MT Ross Ted M TM Choi Hyungwon H Ghedin Elodie E Vogel Christine C

Molecular & cellular proteomics : MCP 20210212

Distinguishing between Zika and dengue virus infections is critical for accurate treatment, but we still lack detailed understanding of their impact on their host. To identify new protein signatures of the two infections, we used next-generation proteomics to profile 122 serum samples from 62 Zika and dengue patients. We quantified >500 proteins and identified 13 proteins that were significantly differentially expressed (adjusted p-value < 0.05). These proteins typically function in infection an ...[more]

PMID: 33582300

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