Dataset Information

Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics

ABSTRACT: Objective: To screen for novel predictive serum markers of preeclampsia (PE). Method: Blood samples were collected from 7 women with PE and 5 with healthy pregnancies. Serum proteins were identified using ITRAQ technology combined with liquid chromatography mass spectrometry analysis. The differential expressed proteins in the PE samples were identified using the SwissProt database, and functionally annotated by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses Results: We identified 121 differential expressed proteins, of which 76 were up-regulated and 45 were down-regulated, and 14 were differential expressed by more than 2-folds. The top GO terms for Cellular Components (CC) were high-density lipoprotein particles and plasma lipoprotein particles, defense response for Biological Processes (BP), and glycosaminoglycan binding, heparin binding and sulfur compound for Molecular functions (MF). The pathway hsa04979 for Cholesterol metabolism was significantly enriched among the upregulated proteins, while structural domain was enriched in immunoglobulin subtype 2. Conclusion: PE pathogenesis is related to lipid metabolism and inflammation, and proteins related to these pathways are potential early diagnostic markers for PE.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood

SUBMITTER: xiaomei li

LAB HEAD: Sumei Wang

PROVIDER: PXD013269 | Pride | 2019-10-15

REPOSITORIES: Pride

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Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics.

Ling Yuee Y Su Jie J Lin Jie J Wang Sumei S

Hypertension in pregnancy 20190708 3

<b>Objective</b>: To screen for novel predictive serum markers of preeclampsia (PE). <b>Method</b>: Blood samples were collected from seven women with PE and five with healthy pregnancies. Serum proteins were identified using isobaric tags for relative and absolute quantitation (iTRAQ) technology combined with liquid chromatography mass spectrometry analysis. The differentially expressed proteins in the PE samples were identified using the SwissProt database, and functionally annotated by gene o ...[more]

PMID: 31284791

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