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EDTA-functionalized magnetic nanoparticles: A suitable platform for the analysis of low abundance urinary proteins

Title
EDTA-functionalized magnetic nanoparticles: A suitable platform for the analysis of low abundance urinary proteins
Type
Article in International Scientific Journal
Year
2017
Authors
Bastos, P
(Author)
Other
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Trindade, F
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Ferreira, R
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Leite-Moreira AF
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FMUP
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Falcao Pires, I
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FMUP
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Manadas, B
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Daniel da Silva, AL
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Vitorino, R
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FMUP
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Journal
Title: TalantaImported from Authenticus Search for Journal Publications
Vol. 170
Pages: 81-88
ISSN: 0039-9140
Publisher: Elsevier
Other information
Authenticus ID: P-00M-NDY
Abstract (EN): Urine is a highly attractive source of biological information and disease biomarkers, whose proteome characterization is ongoing. To that end, depletion/enrichment strategies for protein analysis can be of great convenience. We have thus developed a method based on the use of EDTA-functionalized magnetic nanoparticles (NPs@EDTA), to fractionate urine samples before liquid chromatography-mass spectrometry analysis and compared the identified proteins with those obtained from ultrafiltrated/unfractionated (UF) urine samples. NPs@EDTA allowed larger urine volumes to be processed, resulting in a greater number of protein identifications (similar to 2-fold) at a lower cost when compared to UF samples. Proteins of greater abundance (such as albumin and uromodulin) were, at least partially, depleted with NPs@EDTA while those of lower abundance were enriched. Bioinformatics analysis showed that approximately 27% of NPs@EDTA-enriched proteins were annotated as displaying enzymatic activity, most of these being hydrolytic enzymes (56%), particularly proteases/peptidases (48%). Also, post-translational modifications were prominently predicted across NPs@ EDTA-enriched proteins (90%), particularly glycosylation (52%), phosphorylation (47%) and acetylation (30%). NPs@EDTA allowed the identification of 109 proteins in urine for the first time, showing high potential as a platform for urine's fractionation prior to proteomic analysis.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
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