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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Comparing Data-Independent Acquisition and Parallel Reaction Monitoring in Their Abilities To Differentiate High-Density Lipoprotein Subclasses

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Author(s):
Silva, Amanda R. M. [1] ; Toyoshima, Marcos T. K. [2, 3] ; Passarelli, Marisa [2, 4] ; Di Mascio, Paolo [1] ; Ronsein, Graziella E. [1]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Inst Quim, Dept Bioquim, BR-05513970 Sao Paulo - Brazil
[2] Univ Sao Paulo, Fac Med, Hosp Clin, Lab Lipides LIM 10, BR-01246903 Sao Paulo - Brazil
[3] Univ Sao Paulo, Fac Med, Hosp Clin, Serv Oncoendocrinol, Inst Canc Estado Sao Paulo Oc, BR-01246000 Sao Paulo - Brazil
[4] Univ Nove Julho, Programa Posgrad, BR-01504001 Sao Paulo - Brazil
Total Affiliations: 4
Document type: Journal article
Source: JOURNAL OF PROTEOME RESEARCH; v. 19, n. 1, p. 248-259, JAN 2020.
Web of Science Citations: 0
Abstract

High-density lipoprotein (HDL) is a diverse group of particles with multiple cardioprotective functions. HDL proteome follows HDL particle complexity. Many proteins were described in HDL, but consistent quantification of HDL protein cargo is still a challenge. To address this issue, the aim of this work was to compare data-independent acquisition (DIA) and parallel reaction monitoring (PRM) methodologies in their abilities to differentiate HDL subclasses through their proteomes. To this end, we first evaluated the analytical performances of DIA and PRM using labeled peptides in pooled digested HDL as a biological matrix. Next, we compared the quantification capabilities of the two methodologies for 24 proteins found in HDL2 and HDL3 from 19 apparently healthy subjects. DIA and PRM exhibited comparable linearity, accuracy, and precision. Moreover, both methodologies worked equally well, differentiating HDL subclasses' proteomes with high precision. Our findings may help to understand HDL functional diversity. (AU)

FAPESP's process: 17/07725-1 - Proteomics: a tool to investigate the composition and function of HDL in hyperlipidemia
Grantee:Amanda Ribeiro Martins da Silva
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 16/00696-3 - Proteomic as a tool to understand HDL function and composition
Grantee:Graziella Eliza Ronsein
Support Opportunities: Research Grants - Young Investigators Grants
FAPESP's process: 13/07937-8 - Redoxome - Redox Processes in Biomedicine
Grantee:Ohara Augusto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC