Mass spectrometry-based multiple reaction monitoring (MRM) quantitation of proteins can dramatically impact the discovery and quantitation of biomarkers via rapid, targeted, multiplexed protein expression profiling of clinical samples. A mixture of 45 peptide standards, easily adaptable to common plasma proteomics work flows, was created to permit absolute quantitation of 45 endogenous proteins in human plasma trypsin digests. All experiments were performed on simple tryptic digests of human EDTA-plasma without prior affinity depletion or enrichment. Stable isotope-labeled standard peptides were added immediately following tryptic digestion because addition of stable isotope-labeled standard peptides prior to trypsin digestion was found to generate elevated and unpredictable results. Proteotypic tryptic peptides containing isotopically coded amino acids ( MS is capable of sensitive and accurate protein quantitation based on the quantitation of proteolytic peptides as surrogates for the corresponding intact proteins. Over the past 10 years, MS-based protein quantitation based on the analysis of peptides (in other words, based on "bottom-up" proteomics) has had a profound impact on how biological problems can be addressed (1, 2). Although advances in MS instrumentation have contributed to the improvement of MS-based protein quantitation, the use of stable isotopes in quantitative work flows has arguably had the greatest impact in improving the quality and reproducibility of MS-based protein quantitation (3-5).The ongoing development of untargeted MS-based quantitation work flows has focused on increasingly exhaustive sample prefractionation methods, at both the protein and peptide levels, with the goal of detecting and quantifying entire proteomes (6). Although untargeted MS-based quantitation work flows have their utility, they are costly in terms of lengthy MS data acquisition and analysis times, and as a result, they are often limited to quantifying differences between small sample sets (n Ͻ 10). To facilitate rapid quantitation of larger, clinically relevant sample sets (n Ͼ 100) there is a need to both simplify sample preparation and reduce MS analysis time.Multiple reaction monitoring (MRM) 1 is a tandem MS (MS/MS) scan mode unique to triple quadrupole MS instrumentation that is capable of rapid, sensitive, and specific quantitation of analytes in highly complex sample matrices (7). MRM is a targeted approach that requires knowledge of the molecular weight of an 1 The abbreviations used are: MRM, multiple reaction monitoring; CE, collision energy; CV, coefficient of variation; CZE, capillary zone electrophoresis; DP, declustering potential; LOQ, limit of quantitation; Q1, quadrupole 1; Q3, quadrupole 3; SIS, stable isotope-labeled standard; XIC, extracted ion chromatogram; iTRAQ, isobaric tags for relative and absolute quantitation. Research

Plasma biomarkers studies are based on the differential expression of proteins between different treatment groups or between diseased and control populations. Most mass spectrometry-based methods of protein quantitation, however, are based on the detection and quantitation of peptides, not intact proteins. For peptide-based protein quantitation to be accurate, the digestion protocols used in proteomic analyses must be both efficient and reproducible. There have been very few studies, however, where plasma denaturation/digestion protocols have been compared using absolute quantitation methods. In this paper, 14 combinations of heat, solvent [acetonitrile, methanol, trifluoroethanol], chaotropic agents [guanidine hydrochloride, urea], and surfactants [sodium dodecyl sulfate (SDS) and sodium deoxycholate (DOC)] were compared with respect to their effectiveness in improving subsequent tryptic digestion. These digestion protocols were evaluated by quantitating the production of proteotypic tryptic peptides from 45 moderate- to high-abundance plasma proteins, using tandem mass spectrometry in multiple reaction monitoring mode, with a mixture of stable-isotope labeled analogues of these proteotypic peptides as internal standards. When the digestion efficiencies of these 14 methods were compared, we found that both of the surfactants (SDS and DOC) produced an increase in the overall yield of tryptic peptides from these 45 proteins, when compared to the more commonly used urea protocol. SDS, however, can be a serious interference for subsequent mass spectrometry. DOC, on the other hand, can be easily removed from the samples by acid precipitation. Examining the results of a reproducibility study, done with 5 replicate digestions, DOC and SDS with a 9 h digestion time produced the highest average digestion efficiencies (~80%), with the highest average reproducibility (<5% error, defined as the relative deviation from the mean value). However, because of potential interferences resulting from the use of SDS, we recommend DOC with a 9 h digestion procedure as the optimum protocol.

For many years, mRNA abundance has been used as the surrogate measure of gene expression in biological systems. However, recent genome-scale analyses in both bacteria and eukaryotes have revealed that mRNA levels correlate with steady-state protein abundance for only 50-70% of genes, indicating that translation and post-translation processes also play important roles in determining gene expression. What is not yet clear is whether dynamic processes such as cell cycle progression, differentiation, or response to environmental changes change the relationship between mRNA and protein abundance. Here, we describe a systems approach to interrogate promastigote-to-amastigote differentiation in the obligatory intracellular parasitic protozoan Leishmania donovani. Our results indicate that regulation of mRNA levels plays a major role early in the differentiation process, while translation and post-translational regulation are more important in the latter part. In addition, it appears that the differentiation signal causes a transient global increase in the rate of protein synthesis, which is subsequently down-regulated by phosphorylation of α-subunit of translation initiation factor 2. Thus, Leishmania dynamically changes the relationship between mRNA and protein abundance as it adapts to new environmental circumstances. It is likely that similar mechanisms play a more important role than previously recognized in regulation of gene expression in other organisms.

SUMMARYConifers are extremely long-lived plants that have evolved complex chemical defenses in the form of oleoresin terpenoids to resist attack from pathogens and herbivores. In these species, terpenoid diversity is determined by the size and composition of the terpene synthase (TPS) gene family and the single-and multi-product profiles of these enzymes. The monoterpene (+)-3-carene is associated with resistance of Sitka spruce (Picea sitchensis) to white pine weevil (Pissodes strobi). We used a combined genomic, proteomic and biochemical approach to analyze the (+)-3-carene phenotype in two contrasting Sitka spruce genotypes. Resistant trees produced significantly higher levels of (+)-3-carene than susceptible trees, in which only trace amounts were detected. Biosynthesis of (+)-3-carene is controlled, at the genome level, by a small family of closely related (+)-3-carene synthase (PsTPS-3car) genes (82-95% amino acid sequence identity). Transcript profiling identified one PsTPS-3car gene (PsTPS-3car1) that is expressed in both genotypes, one gene (PsTPS-3car2) that is expressed only in resistant trees, and one gene (PsTPS-3car3) that is expressed only in susceptible trees. The PsTPS-3car2 gene was not detected in genomic DNA of susceptible trees. Target-specific selected reaction monitoring confirmed this pattern of differential expression of members of the PsTPS-3car family at the proteome level. Kinetic characterization of the recombinant PsTPS-3car enzymes identified differences in the activities of PsTPS-3car2 and PsTPS-3car3 as a factor contributing to the different (+)-3-carene profiles of resistant and susceptible trees. In conclusion, variation of the (+)-3-carene phenotype is controlled by copy number variation of PsTPS-3car genes, variation of gene and protein expression, and variation in catalytic efficiencies.