
Abstract The proteomic analyses 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. inter-individual variability), analysis of biospecimen (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 whilst enhancing possibilities for the incorporation of proteomics-scaled assays into clinical practice. Abstract Figure
Proteomics, Quality Control, Blood Specimen Collection, data acquisition, Computational Biology, Blood Proteins, sample collection, plasma processing workflows, bioinformatic analysis, Mass Spectrometry, Workflow, Human Plasma Proteome Project (HPPP), quality metrics, study design, Human Proteome Project (HPP), blood, Humans, mass spectrometry (MS), serum, plasma, data processing
Proteomics, Quality Control, Blood Specimen Collection, data acquisition, Computational Biology, Blood Proteins, sample collection, plasma processing workflows, bioinformatic analysis, Mass Spectrometry, Workflow, Human Plasma Proteome Project (HPPP), quality metrics, study design, Human Proteome Project (HPP), blood, Humans, mass spectrometry (MS), serum, plasma, data processing
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