Interlaboratory Evaluation of Automated, Multiplexed Peptide Immunoaffinity Enrichment Coupled to Multiple Reaction Monitoring Mass Spectrometry for Quantifying Proteins in Plasma
Automation, Laboratory
0303 health sciences
Reproducibility of Results
Blood Proteins
Chromatography, Affinity
Peptide Fragments
03 medical and health sciences
Limit of Detection
Tandem Mass Spectrometry
Granulocyte Colony-Stimulating Factor
Animals
Humans
Immunoprecipitation
Rabbits
DOI:
10.1074/mcp.m111.013854
Publication Date:
2011-12-23T06:04:31Z
AUTHORS (13)
ABSTRACT
The inability to quantify large numbers of proteins in tissues and biofluids with high precision, sensitivity, throughput is a major bottleneck biomarker studies. We previously demonstrated that coupling immunoaffinity enrichment using anti-peptide antibodies (SISCAPA) multiple reaction monitoring mass spectrometry (MRM-MS) produces Immunoprecipitation MRM-MS (immuno-MRM-MS) assays can be multiplexed plasma specificity, precision. Here we report the first systematic evaluation interlaboratory performance (8-plex) immuno-MRM-MS three independent labs. A staged study was carried out which effect each processing analysis step on assay coefficient variance, limit detection, quantification, recovery evaluated. Limits detection were at or below 1 ng/ml for assayed 30 μl plasma. Assay reproducibility acceptable verification studies, median intra- coefficients variance above quantification 11% <14%, respectively, entire process, including enzymatic digestion Trypsin its requisite sample handling contributed most variability reduced target peptides from digested proteins. Using stable isotope-labeled protein as an internal standard instead account losses process nearly doubled accuracy this while improving precision 5%. Our results demonstrate made reproducible across laboratories has potential adopted widely assaying matrices complex
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (40)
CITATIONS (163)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....