Strategies for consistent and automated quantification of HDL proteome using data-independent acquisition

Autor(es)

Souza Junior, Douglas Ricardo ; Silva, Amanda Ribeiro Martins ; Ronsein, Graziella Eliza

• Tipo de documento: Artigo Científico
• Fonte: Journal of Lipid Research; v. 64, n. 7, p. 14-pg., 2023-07-03.

Resumo

The introduction of mass spectrometrybased proteomics has revolutionized the high-density lipoprotein (HDL) field, with the description, characterization, and implication of HDL-associated proteins in an array of pathologies. However, acquiring robust, reproducible data is still a challenge in the quantitative assessment of HDL proteome. Data-independent acquisition (DIA) is a mass spectrometry methodology that allows the acquisition of reproducible data, but data analysis remains a challenge in the field. To date, there is no consensus on how to process DIA-derived data for HDL proteomics. Here, we developed a pipeline aiming to standardize HDL proteome quantification. We optimized instrument parameters and compared the performance of four freely available, MaxDIA, and Skyline) in processing DIA data. Importantly, pooled samples were used as quality controls throughout our experimental setup. A careful evaluation of precision, linearity, and detection limits, first using E. coli background for HDL proteomics and second using HDL proteome and synthetic peptides, was undertaken. Finally, as a proof of concept, we employed our optimized and automated pipeline to quantify the proteome of HDL and apolipoprotein B-containing lipoproteins. Our results show that determination of precision is key to confidently and consistently quantifying HDL proteins. Taking this precaution, any of the available software tested here would be appropriate for quantification of HDL proteome, although their performance varied considerably. (AU)

• Processo FAPESP: 17/07725-1 - Proteômica: uma ferramenta para a investigação da composição e função da HDL em hiperlipidemia
• Beneficiário: Amanda Ribeiro Martins da Silva
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 16/00696-3 - Compreendendo composição e função da HDL através de proteômica
• Beneficiário: Graziella Eliza Ronsein
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores
• Processo FAPESP: 13/07937-8 - Redoxoma
• Beneficiário: Ohara Augusto
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs
• Processo FAPESP: 19/25702-4 - Compreendendo os efeitos da lipoproteína de alta densidade em macrófagos humanos
• Beneficiário: Douglas Ricardo de Souza Junior
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto