Microalgae-derived quality control material for reproducible and scalable LC-MS system suitability testing.

Area of Science:

• Proteomics
• Analytical Chemistry
• Biotechnology

Background:

• Liquid chromatography-mass spectrometry (LC-MS/MS) is crucial for proteomic analysis.
• Current cell line-based quality control (QC) materials face reproducibility, scalability, and ethical challenges.
• Robust QC strategies are essential for accurate and reliable LC-MS/MS proteomic data.

Purpose of the Study:

• To develop and evaluate a microalgae-derived QC material for LC-MS/MS system performance monitoring.
• To assess the suitability of Synechocystis sp. PCC6803 as a QC material in proteomics.
• To provide a scalable and reproducible QC solution for LC-MS/MS workflows.

Main Methods:

• Development of a QC material using the microalgae Synechocystis sp. PCC6803.
• Evaluation of protein identification reproducibility across five replicates.
• Assessment of quantitative precision using median coefficient of variation (CV).
• Analysis of QC peptide linearity (R^2) and reproducibility (CV) across varying injection amounts.

Main Results:

• Synechocystis-based QC samples showed high identification reproducibility (76% protein groups consistently detected).
• Quantitative precision was maintained with a median CV of 6.7%.
• QC peptides demonstrated excellent linearity (R^2 ≥ 0.98) and reproducibility (CV ≤ 12.06%).

Conclusions:

• Synechocystis-derived QC materials offer a reproducible and scalable alternative to conventional QC methods.
• This microalgae-based material is well-suited for routine LC-MS/MS system performance monitoring.
• It is particularly valuable for proteomics workflows involving non-human or mixed biological samples.