Logo image
Systematic evaluation of the Use of Human Plasma and Serum for Mass-Spectrometry-Based Shotgun Proteomics
Journal article   Peer reviewed

Systematic evaluation of the Use of Human Plasma and Serum for Mass-Spectrometry-Based Shotgun Proteomics

J. Lan, A. Núñez Galindo, J. Doecke, C. Fowler, R.N. Martins, S.R. Rainey-Smith, O. Cominetti and L. Dayon
Journal of Proteome Research, Vol.17(4), pp.1426-1435
2018
url
Link to Published Version *Subscription may be requiredView

Abstract

Over the last two decades, EDTA-plasma has been used as the preferred sample matrix for human blood proteomic profiling. Serum has also been employed widely. Only a few studies have assessed the difference and relevance of the proteome profiles obtained from plasma samples, such as EDTA-plasma or lithium-heparin-plasma, and serum. A more complete evaluation of the use of EDTA-plasma, heparin-plasma, and serum would greatly expand the comprehensiveness of shotgun proteomics of blood samples. In this study, we evaluated the use of heparin-plasma with respect to EDTA-plasma and serum to profile blood proteomes using a scalable automated proteomic pipeline (ASAP2). The use of plasma and serum for mass-spectrometry-based shotgun proteomics was first tested with commercial pooled samples. The proteome coverage consistency and the quantitative performance were compared. Furthermore, protein measurements in EDTA-plasma and heparin-plasma samples were comparatively studied using matched sample pairs from 20 individuals from the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study. We identified 442 proteins in common between EDTA-plasma and heparin-plasma samples. Overall agreement of the relative protein quantification between the sample pairs demonstrated that shotgun proteomics using workflows such as the ASAP2 is suitable in analyzing heparin-plasma and that such sample type may be considered in large-scale clinical research studies. Moreover, the partial proteome coverage overlaps (e.g., ∼70%) showed that measures from heparin-plasma could be complementary to those obtained from EDTA-plasma.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Citation topics
2 Chemistry
2.211 Mass Spectrometry
2.211.497 Proteomics Mass Spectrometry
Web Of Science research areas
Biochemical Research Methods
ESI research areas
Biology & Biochemistry
Logo image