Quantitative performance of internal standard platforms for absolute protein quantification using multiple reaction monitoring-mass spectrometry.

Stable-isotope-labeling mass spectrometry involves the addition of known quantities of stable-isotope labeled standards, which mimic native molecules, to biological samples. We evaluated three conventional internal standard platforms (synthetic peptides, QconCAT constructs, and recombinant proteins) for quantitative accuracy, precision, and inherent advantages and limitations. Internal standards for the absolute quantification of three human cytokine proteins (interferon gamma, interleukin-1 beta, and tumor necrosis factor alpha) were designed and verified. Multiple reaction monitoring assays, calibration curve construction, and regression analysis were used to assess quantitative performance of the internal standard platforms. We also investigated a strategy for methodological improvement to current platforms using natural flanking sequences. Data analysis revealed that full length protein standards have the broadest quantitative reliability with accuracy being peptide-dependent for QconCATs and synthetic peptides. Natural flanking sequences greatly improved the quantitative performance of both QconCAT and synthetic peptide standards.

QconCAT: Internal Standard for Protein Quantification.

Protein quantification based on stable isotope labeling-mass spectrometry involves adding known quantities of stable isotope-labeled internal standards into biological samples. The internal standards are analogous to analyte molecules and quantification is achieved by comparing signals from isotope-labeled and analyte molecules. This methodology is broadly applicable to proteomics research, biomarker discovery and validation, and clinical studies, which require accurate and precise protein abundance measurements. One such internal standard platform for protein quantification is concatenated peptides (QconCAT). This chapter describes a protocol for the design, expression, characterization, and application of the QconCAT strategy for protein quantification.