Benchmarking Plasma Proteomics Workflows and Correlation to Clinical Assays

18.3 MB of data compares prominent enrichment and depletion workflows for plasma proteomics using platelet-poor plasma, platelet-rich plasma, and serum samples. The study, authored by Anders Handrup Kverneland and uploaded to figshare, analyzes the correlation of 10 protein measurements from clinical routine processes with proteomics-based workflows. Results show heterogeneous correlation, with low-abundant proteins like C-reactive protein correlating well while others like albumin correlated poorly.

Use Cases

• Compare the performance of depletion workflows (e.g., Top14 depletion, acid precipitation) versus enrichment methods (e.g., bead-based enrichment, ultracentrifugation) based on the described study.
• Evaluate the correlation between proteomics data and clinical routine protein assays (e.g., on a Cobas system) for specific proteins like C-reactive protein and lipoprotein(a).
• Assess the suitability of different sample types (platelet-poor plasma, platelet-rich plasma, serum) for proteomics analysis based on the correlation results described.

Strengths

• Includes comparative data on multiple prominent plasma proteomics workflows, as described.
• Correlates mass spectrometry results with 10 protein measurements from clinical routine assays.
• File size is 18.3 MB, indicating a contained, downloadable dataset.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• Description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely contains experimental results from a comparative study of plasma proteomics workflows.

Freshness

Last updated 2026-05-02 14:04:11; freshness should be verified.