Robust workflow for iTRAQ-based peptide and protein quantification.

Quantitative proteomics has become a routinely used technique to globally compare protein content and expression profiles of biological samples, for instance after differential stimulation. In this context, chemical stable isotope-based labeling techniques, such as ICAT and iTRAQ, have been successfully applied in a large variety of studies. Since iTRAQ labels are isobaric, quantitation is conducted on the MS/MS level. Consequently, up to eight samples can be multiplexed and quantified in a single experiment without increasing sample complexity. Here, we present a robust workflow to conduct iTRAQ quantification of biological samples such as human platelets, which comprises (a) an adequate sample preparation procedure, (b) an optimized tryptic digestion protocol, (c) SPE desalting and subsequent peptide labeling using a 4-plex iTRAQ labeling kit, and (d) fractionation of the obtained peptide mixture by strong cation exchange chromatography.

iTRAQ data interpretation.

Quantitative proteomic analysis can help elucidating unexplored biological questions; it, however, relies on highly reproducible experiments and reliable data processing. Among the existing strategies, iTRAQ is known as an easy to use method allowing relative comparison of up to eight multiplexed samples.Once the data is acquired it is important that the final protein quantification reflects the actual amounts in the samples. Data interpretation must thus be achieved with a constant focus on quality. Here, we describe a workflow for processing iTRAQ data in user-friendly environments with emphasis on quality control.

Systematic and quantitative comparison of digest efficiency and specificity reveals the impact of trypsin quality on MS-based proteomics.

Trypsin is the most frequently used proteolytic enzyme in mass spectrometry-based proteomics. Beside its good availability, it also offers some major advantages such as an optimal average peptide length of ~14 amino acids, and typically the presence of at least two defined positive charges at the N-terminus as well as the C-terminal Arg/Lys, rendering tryptic peptides well suited for CID-based LC-MS/MS. Here, we conducted a systematic study of different types of commercially available trypsin in order to qualitatively and quantitatively compare cleavage specificity, efficiency as well as reproducibility and the potential impact on quantitation and proteome coverage. We present a straightforward strategy applied to complex digests of human platelets, comprising (1) digest controls using a monolithic column HPLC-setup, (2) SCX enrichment of semitryptic/nonspecific peptides, (3) targeted MRM analysis of corresponding full cleavage/missed cleavage peptide pairs as well as (4) LC-MS analyses of complete digests with a three-step data interpretation. Thus, differences in digest performance can be readily assessed, rendering these procedures extremely beneficial to quality control not only the trypsin of choice, but also to effectively compare as well as optimize different digestion conditions and to evaluate the reproducibility of a dedicated digest protocol for all kinds of quantitative proteome studies.

Quality control of nano-LC-MS systems using stable isotope-coded peptides.

In analytical sciences, there is a general need for quality control to assess whether a product or a process meets defined requirements. Especially in proteomics, which implies analysis of ten thousands of analytes within a complex mixture, quality control to validate LC-MS performance and method setup is inevitable to achieve day-to-day-, inter-system-, as well as inter-user reproducibility. Thus, results deriving from LC-MS analyses can be benchmarked and the need for system maintenance can be revealed. In particular with the advent of label-free quantification of peptides and proteins, which above all depends on highly stable and reproducible LC separations, HPLC performance has to be appropriately monitored throughout the entire analytical procedure to assure quality and validity of the obtained data. Oftentimes, proteolytic digests of standard proteins are used in this context; however, this approach implies some limitations, such as inadequate batch-to-batch reproducibility, limited (if any) dynamic range and compositional inflexibility. Here, we present an alternative strategy of nano-LC-MS/MS quality control based on a mixture of synthetic peptides covering the entire LC-gradient as well as a dynamic range of more than two orders of magnitude. Thus, (i) reproducibility of LC separation, (ii) MS performance (including limit of detection, identification and quantification), as well as (iii) overall nano-LC-MS system performance and reproducibility can be routinely monitored even in highly complex samples.