4.6 Article

Evaluation of Sample Preparation Strategies for Human Milk and Plasma Proteomics

Journal

MOLECULES
Volume 26, Issue 22, Pages -

Publisher

MDPI
DOI: 10.3390/molecules26226816

Keywords

bottom-up proteomics; filter-aided sample preparation (FASP); Folch extraction; in-solution digestion (ISD); milk; plasma

Funding

  1. Deutsche Forschungsgemeinschaft [INST 268/289-1, INST 268/387-1]

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Sample preparation is a critical step in proteomics, affecting protein and peptide identification and quantification. Different approaches have varying advantages and disadvantages, with FASP being more time efficient but less reproducible quantitatively. Prior protein precipitation improved quantification in FASP.
Sample preparation is the most critical step in proteomics as it directly affects the subset of proteins and peptides that can be reliably identified and quantified. Although a variety of efficient and reproducible sample preparation strategies have been developed, their applicability and efficacy depends much on the biological sample. Here, three approaches were evaluated for the human milk and plasma proteomes. Protein extracts were digested either in an ultrafiltration unit (filter-aided sample preparation, FASP) or in-solution (ISD). ISD samples were desalted by solid-phase extraction prior to nRPC-ESI-MS/MS. Additionally, milk and plasma samples were directly digested by FASP without prior protein precipitation. Each strategy provided inherent advantages and disadvantages for milk and plasma. FASP appeared to be the most time efficient procedure with a low miscleavage rate when used for a biological sample aliquot, but quantitation was less reproducible. A prior protein precipitation step improved the quantitation by FASP due to significantly higher peak areas for plasma and a much better reproducibility for milk. Moreover, the miscleavage rate for milk, the identification rate for plasma, and the carbamidomethylation efficiency were improved. In contrast, ISD of both milk and plasma resulted in higher miscleavage rates and is therefore less suitable for targeted proteomics.

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