Details

Autor(en) / Beteiligte

• Mc Ardle, Angela
• Binek, Aleksandra
• Moradian, Annie
• Chazarin Orgel, Blandine
• Rivas, Alejandro
• Washington, Kirstin E
• Phebus, Conor
• Manalo, Danica-Mae
• Go, James
• Venkatraman, Vidya
• Coutelin Johnson, Casey W
• Fu, Qin
• Cheng, Susan
• Raedschelders, Koen
• Fert-Bober, Justyna
• Pennington, Stephen R
• Murray, Christopher I
• Van Eyk, Jennifer E

Titel

Standardized Workflow for Precise Mid- and High-Throughput Proteomics of Blood Biofluids

Ist Teil von

• Clinical chemistry (Baltimore, Md.), 2022-03, Vol.68 (3), p.450-460

Ort / Verlag

England: Oxford University Press

Erscheinungsjahr

2022

Quelle

Oxford Journals 2020 Medicine

Beschreibungen/Notizen

• Abstract Background Accurate discovery assay workflows are critical for identifying authentic circulating protein biomarkers in diverse blood matrices. Maximizing the commonalities in the proteomic workflows between different biofluids simplifies the approach and increases the likelihood for reproducibility. We developed a workflow that can accommodate 3 blood-based proteomes: naive plasma, depleted plasma and dried blood. Methods Optimal conditions for sample preparation and data independent acquisition-mass spectrometry analysis were established in plasma then automated for depleted plasma and dried blood. The mass spectrometry workflow was modified to facilitate sensitive high-throughput analysis or deeper profiling with mid-throughput analysis. Analytical performance was evaluated by the linear response of peptides and proteins to a 6- or 7-point dilution curve and the reproducibility of the relative peptide and protein intensity for 5 digestion replicates per day on 3 different days for each biofluid. Results Using the high-throughput workflow, 74% (plasma), 93% (depleted), and 87% (dried blood) displayed an inter-day CV <30%. The mid-throughput workflow had 67% (plasma), 90% (depleted), and 78% (dried blood) of peptides display an inter-day CV <30%. Lower limits of detection and quantification were determined for peptides and proteins observed in each biofluid and workflow. Based on each protein and peptide’s analytical performance, we could describe the observable, reliable, reproducible, and quantifiable proteomes for each biofluid and workflow. Conclusion The standardized workflows established here allows for reproducible and quantifiable detection of proteins covering a broad dynamic range. We envisage that implementation of this standard workflow should simplify discovery approaches and facilitate the translation of candidate markers into clinical use.