Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.
Vera IgnjatovicPhilipp E GeyerKrishnan K PalaniappanJessica E ChaabanGilbert S OmennMark S BakerEric W DeutschJochen M SchwenkPublished in: Journal of proteome research (2019)
The proteomic analysis of human blood and blood-derived products (e.g., plasma) offers an attractive avenue to translate research progress from the laboratory into the clinic. However, due to its unique protein composition, performing proteomics assays with plasma is challenging. Plasma proteomics has regained interest due to recent technological advances, but challenges imposed by both complications inherent to studying human biology (e.g., interindividual variability) and analysis of biospecimens (e.g., sample variability), as well as technological limitations remain. As part of the Human Proteome Project (HPP), the Human Plasma Proteome Project (HPPP) brings together key aspects of the plasma proteomics pipeline. Here, we provide considerations and recommendations concerning study design, plasma collection, quality metrics, plasma processing workflows, mass spectrometry (MS) data acquisition, data processing, and bioinformatic analysis. With exciting opportunities in studying human health and disease though this plasma proteomics pipeline, a more informed analysis of human plasma will accelerate interest while enhancing possibilities for the incorporation of proteomics-scaled assays into clinical practice.
Keyphrases
- mass spectrometry
- endothelial cells
- liquid chromatography
- clinical practice
- high resolution
- human health
- risk assessment
- gas chromatography
- high performance liquid chromatography
- high throughput
- climate change
- big data
- induced pluripotent stem cells
- tandem mass spectrometry
- single cell
- pluripotent stem cells
- binding protein