Determination of protein stoichiometry within protein complexes using absolute quantification and multiple reaction monitoring

Protein-protein interactions in plants

The study of protein-protein interactions (PPIs) is essential to uncover unknown functions of proteins at the molecular level and to gain insight into complex cellular networks. Affinity purification and mass spectrometry (AP-MS), yeast two-hybrid, imaging approaches and numerous diverse databases have been developed as strategies to analyze PPIs. The past decade has seen an increase in the number of identified proteins with the development of MS and large-scale proteome analyses. Consequently, the false-positive protein identification rate has also increased. Therefore, the general consensus is to confirm PPI data using one or more independent approaches for an accurate evaluation. Furthermore, identifying minor PPIs is fundamental for understanding the functions of transient interactions and low-abundance proteins. Besides establishing PPI methodologies, we are now seeing the development of new methods and/or improvements in existing methods, which involve identifying minor proteins by MS, multidimensional protein identification technology or OFFGEL electrophoresis analyses, one-shot analysis with a long column or filter-aided sample preparation methods. These advanced techniques should allow thousands of proteins to be identified, whereas in-depth proteomic methods should permit the identification of transient binding or PPIs with weak affinity. Here, the current status of PPI analysis is reviewed and some advanced techniques are discussed briefly along with future challenges for plant proteomics.

Quantitative mass spectrometry-based proteomics: an overview

In recent years, mass spectrometry has moved more than ever before into the front line of protein-centered research. After being established at the qualitative level, the more challenging question of quantification of proteins and peptides using mass spectrometry has become a focus for further development. In this chapter, we discuss and review the strategies and problems of the methods currently in use for the quantitative analysis of peptides, proteins, and finally proteomes by mass spectrometry. The common themes, the differences, and the potential pitfalls of the main approaches are presented in order to provide a survey of the emerging field of quantitative, mass spectrometry-based proteomics.

Absolute quantification of proteins using standard peptides and multiple reaction monitoring

Mass spectrometry (MS) is a powerful tool for protein identification and has therefore become indispensable for proteome studies. In recent years, simple protein identification by MS has become routine, and more attention has been devoted to the MS-based investigation of posttranslational modifications and the quantification of proteins and peptides. Numerous methods and techniques for relative quantification of proteins by MS have emerged and have been applied successfully to answer various questions of protein abundance. Absolute quantification is often applied in clinical research and biomarker discovery, but has also been used to determine protein stoichiometries in protein complexes. However, the number of methods available for absolute quantification is still restricted and often requires the generation of standard peptides containing amino acids labeled with stable isotopes, although label-free approaches are also gaining importance. Complete hydrolysis of the proteins to be quantified is known to be one of the prerequisites for reliable absolute quantification, and selection and suitability of the standard peptides are critical factors in the planning of a quantitative study. Along the different methods to read out quantitative signals by MS, multiple reaction monitoring (MRM) has proven to be most suitable, with a wide linear range. However, analysis by MRM is a targeted approach and each case requires the individual design of suitable assays, which is a time-consuming step during the preliminary analysis. In this chapter, we present various protocols for in-solution hydrolysis, manual selection of suitable standard peptides, and design of MRM transitions.

Estimation of absolute protein quantities of unlabeled samples by selected reaction monitoring mass spectrometry

For many research questions in modern molecular and systems biology, information about absolute protein quantities is imperative. This information includes, for example, kinetic modeling of processes, protein turnover determinations, stoichiometric investigations of protein complexes, or quantitative comparisons of different proteins within one sample or across samples. To date, the vast majority of proteomic studies are limited to providing relative quantitative comparisons of protein levels between limited numbers of samples. Here we describe and demonstrate the utility of a targeting MS technique for the estimation of absolute protein abundance in unlabeled and nonfractionated cell lysates. The method is based on selected reaction monitoring (SRM) mass spectrometry and the “best flyer” hypothesis, which assumes that the specific MS signal intensity of the most intense tryptic peptides per protein is approximately constant throughout a whole proteome. SRM-targeted best flyer peptides were selected for each protein from the peptide precursor ion signal intensities from directed MS data. The most intense transitions per peptide were selected from full MS/MS scans of crude synthetic analogs. We used Monte Carlo cross-validation to systematically investigate the accuracy of the technique as a function of the number of measured best flyer peptides and the number of SRM transitions per peptide. We found that a linear model based on the two most intense transitions of the three best flying peptides per proteins (TopPep3/TopTra2) generated optimal results with a cross-correlated mean fold error of 1.8 and a squared Pearson coefficient R² of 0.88. Applying the optimized model to lysates of the microbe Leptospira interrogans, we detected significant protein abundance changes of 39 target proteins upon antibiotic treatment, which correlate well with literature values. The described method is generally applicable and exploits the inherent performance advantages of SRM, such as high sensitivity, selectivity, reproducibility, and dynamic range, and estimates absolute protein concentrations of selected proteins at minimized costs.

The requirement for proteomics to unravel stem cell regulatory mechanisms

Stem cells are defined by their ability to self-renew and to differentiate, the processes whereby these events are achieved is the subject of much investigation. These studies include cancer stem cell populations, where eradication of this specific population is the ultimate goal of treatment. Whilst cellular signalling events and transcription factor complex-mediated changes in gene expression have been analysed in some detail within stem cells, full systematic understanding of the events promoting self-renewal or the commitment process leading to formation of a specific cell type require a systems biology approach. This in turn demands a need for proteomic analysis of post-translational regulation of protein levels, protein interactions, protein post-translational modification (e.g. ubiquitination, methylation, acetylation, phosphorylation) to identify networks for stem cell regulation. Furthermore, the phenomenon of induced pluripotency via cellular reprogramming also can be understood optimally using combined molecular biology and proteomics approaches; here we describe current research employing proteomics and mass spectrometry to dissect stem cell regulatory mechanisms.

Quantitative, high-resolution proteomics for data-driven systems biology

Systems biology requires comprehensive data at all molecular levels. Mass spectrometry (MS)-based proteomics has emerged as a powerful and universal method for the global measurement of proteins. In the most widespread format, it uses liquid chromatography (LC) coupled to high-resolution tandem mass spectrometry (MS/MS) to identify and quantify peptides at a large scale. This peptide intensity information is the basic quantitative proteomic data type. It is used to quantify proteins between different proteome states, including the temporal variation of the proteome, to determine the complete primary structure of proteins including posttranslational modifications, to localize proteins to organelles, and to determine protein interactions. Here, we describe the principles of analysis and the areas of biology where proteomics can make unique contributions. The large-scale nature of proteomics data and its high accuracy pose special opportunities as well as challenges in systems biology that have been largely untapped so far.

Applying selected reaction monitoring to targeted proteomics

Selected reaction monitoring (SRM) is a highly selective and sensitive mass spectrometric methodology for precise and accurate quantification of low-abundant proteins in complex mixtures and for characterization of modified peptides, and constitutes the method of choice in targeted proteomics. Owing to its outstanding features, SRM arises as an alternative to antibody-based assays for discovery and validation of clinically relevant biomarkers, a topic that is tackled in this article. Several of the obstacles encountered in SRM experiments, mainly those derived from shared physicochemical properties of peptides (e.g., mass, charge and chromatographic retention time), can compromise selectivity and quantitation. We illustrate how to circumvent these limitations on the basis of using time-scheduled chromatographic approaches and choosing appropriate spectrometric conditions, including the careful selection of the precursor and diagnostic ions.

Subunit stoichiometry, evolution, and functional implications of an asymmetric plant plastid ClpP/R protease complex in Arabidopsis

The caseinolytic protease (Clp) protease system has been expanded in plant plastids compared with its prokaryotic progenitors. The plastid Clp core protease consists of five different proteolytic ClpP proteins and four different noncatalytic ClpR proteins, with each present in one or more copies and organized in two heptameric rings. We determined the exact subunit composition and stoichiometry for the intact core and each ring. The chloroplast ClpP/R protease was affinity purified from clpr4 and clpp3 Arabidopsis thaliana null mutants complemented with C-terminal StrepII-tagged versions of CLPR4 and CLPP3, respectively. The subunit stoichiometry was determined by mass spectrometry-based absolute quantification using stable isotope-labeled proteotypic peptides generated from a synthetic gene. One heptameric ring contained ClpP3,4,5,6 in a 1:2:3:1 ratio. The other ring contained ClpP1 and ClpR1,2,3,4 in a 3:1:1:1:1 ratio, resulting in only three catalytic sites. These ClpP1/R1-4 proteins are most closely related to the two subunits of the cyanobacterial P3/R complex and the identical P:R ratio suggests conserved adaptation. Furthermore, the plant-specific C-terminal extensions of the ClpP/R subunits were not proteolytically removed upon assembly, suggesting a regulatory role in Clp chaperone interaction. These results will now allow testing ClpP/R structure-function relationships using rationale design. The quantification workflow we have designed is applicable to other protein complexes.

Semiquantitative proteomic analysis of the human spliceosome via a novel two-dimensional gel electrophoresis method

More than 200 proteins associate with human spliceosomes, but little is known about their relative abundances in a given spliceosomal complex. Here we describe a novel two-dimensional (2D) electrophoresis method that allows separation of high-molecular-mass proteins without in-gel precipitation and thus without loss of protein. Using this system coupled with mass spectrometry, we identified 171 proteins altogether on 2D maps of stage-specific spliceosomal complexes. By staining with a fluorescent dye with a wide linear intensity range, we could quantitate and categorize proteins as present in high, moderate, or low abundance. Affinity-purified human B, B(act), and C complexes contained 69, 63, and 72 highly/moderately abundant proteins, respectively. The recruitment and release of spliceosomal proteins were followed based on their abundances in A, B, B(act), and C spliceosomal complexes. Staining with a phospho-specific dye revealed that approximately one-third of the proteins detected in human spliceosomal complexes by 2D gel analyses are phosphorylated. The 2D gel electrophoresis system described here allows for the first time an objective view of the relative abundances of proteins present in a particular spliceosomal complex and also sheds additional light on the spliceosome's compositional dynamics and the phosphorylation status of spliceosomal proteins at specific stages of splicing.

Lesson from the stoichiometry determination of the cohesin complex: a short protease mediated elution increases the recovery from cross-linked antibody-conjugated beads

Affinity purification of proteins using antibodies coupled to beads and subsequent mass spectrometric analysis has become a standard technique for the identification of protein complexes. With the recent transfer of the isotope dilution mass spectrometry principle (IDMS) to the field of proteomics, quantitative analyses-such as the stoichiometry determination of protein complexes-have become achievable. Traditionally proteins were eluted from antibody-conjugated beads using glycine at low pH or using diluted acids such as HCl, TFA, or FA, but elution was often found to be incomplete. Using the cohesin complex and the anaphase promoting complex/cyclosome (APC/C) as examples, we show that a short 15-60 min predigestion with a protease such as LysC (modified on-bead digest termed protease elution) increases the elution efficiency 2- to 3-fold compared to standard acid elution protocols. While longer incubation periods-as performed in standard on-bead digestion-led to partial proteolysis of the cross-linked antibodies, no or only insignificant cleavage was observed after 15-60 min protease mediated elution. Using the protease elution method, we successfully determined the stoichiometry of the cohesin complex by absolute quantification of the four core subunits using LC-SRM analysis and 19 reference peptides generated with the EtEP strategy. Protease elution was 3-fold more efficient compared to HCl elution, but measurements using both elution techniques are in agreement with a 1:1:1:1 stoichiometry. Furthermore, using isoform specific reference peptides, we determined the exact STAG1:STAG2 stoichiometry within the population of cohesin complexes. In summary, we show that the protease elution protocol increases the recovery from affinity beads and is compatible with quantitative measurements such as the stoichiometry determination of protein complexes.

Quantitation of soybean allergens using tandem mass spectrometry

Soybean (Glycine max) seed contain some proteins that are allergenic to humans and animals. However, the concentration of these allergens and their expression variability among germplasms is presently unknown. To address this problem, 10 allergens were quantified from 20 nongenetically modified commercial soybean varieties using parallel, label-free mass spectrometry approaches. Relative quantitation was performed by spectral counting and absolute quantitation was performed using multiple reaction monitoring (MRM) with synthetic, isotope-labeled peptides as internal standards. During relative quantitation analysis, 10 target allergens were identified, and five of these allergens showed expression levels higher than technical variation observed for bovine serum albumin (BSA) internal standard (∼11%), suggesting expression differences among the varieties. To confirm this observation, absolute quantitation of these allergens from each variety was performed using MRM. Eight of the 10 allergens were quantified for their concentration in seed and ranged from approximately 0.5 to 5.7 μg/mg of soy protein. MRM analysis reduced technical variance of BSA internal standards to approximately 7%, and confirmed differential expression for four allergens across the 20 varieties. This is the first quantitative assessment of all major soybean allergens. The results show the total quantity of allergens measured among the 20 soy varieties was mostly similar.

Less label, more free: approaches in label-free quantitative mass spectrometry

In this review we examine techniques, software, and statistical analyses used in label-free quantitative proteomics studies for area under the curve and spectral counting approaches. Recent advances in the field are discussed in an order that reflects a logical workflow design. Examples of studies that follow this design are presented to highlight the requirement for statistical assessment and further experiments to validate results from label-free quantitation. Limitations of label-free approaches are considered, label-free approaches are compared with labelling techniques, and forward-looking applications for label-free quantitative data are presented. We conclude that label-free quantitative proteomics is a reliable, versatile, and cost-effective alternative to labelled quantitation.

Quantification of beta-catenin signaling components in colon cancer cell lines, tissue sections, and microdissected tumor cells using reaction monitoring mass spectrometry

Reaction monitoring mass spectrometry has emerged as a powerful tool for targeted detection and quantification of proteins in clinical samples. Here, we report the use of gel electrophoresis for protein fractionation and liquid chromatography coupled to multiple reaction monitoring mass spectrometry (LC-MRM) screening for quantitative analysis of components from the Wnt/beta-catenin signaling pathway, which contributes to colon tumor formation and progression. In silico tools are used to design LC-MRM screens for each target protein. Following successful peptide detection, stable isotope labeled peptides are synthesized and developed as internal standards. Then, the assays are implemented in colon cancer cell lines to achieve detection in minimal amounts of cells, compatible with direct translation to clinical specimens. Selected assays are compared with qualitative results from immunoblotting (Westerns) and translated to individual frozen colon tissue sections and laser capture microdissected tumor cells. This LC-MRM platform has been translated from in vitro models to clinical specimens, forming the basis for future experiments in patient assessment.

Molecular architecture of the human Prp19/CDC5L complex

Protein complexes containing Prp19 play a central role during catalytic activation of the spliceosome, and Prp19 and its related proteins are major components of the spliceosome's catalytic core RNP. To learn more about the spatial organization of the human Prp19 (hPrp19)/CDC5L complex, which is comprised of hPrp19, CDC5L, PRL1, AD002, SPF27, CTNNBL1, and HSP73, we purified native hPrp19/CDC5L complexes from HeLa cells stably expressing FLAG-tagged AD002 or SPF27. Stoichiometric analyses indicated that, like Saccharomyces cerevisiae NTC (nineteen complex), the human Prp19/CDC5L complex contains four copies of hPrp19. Salt treatment identified a stable core comprised of CDC5L, hPrp19, PRL1, and SPF27. Protein-protein interaction studies revealed that SPF27 directly interacts with each component of the hPrp19/CDC5L complex core and also elucidated several additional, previously unknown interactions between hPrp19/CDC5L complex components. Limited proteolysis of the hPrp19/CDC5L complex revealed a protease-resistant complex comprised of SPF27, the C terminus of CDC5L, and the N termini of PRL1 and hPrp19. Under the electron microscope, purified hPrp19/CDC5L complexes exhibit an elongated, asymmetric shape with a maximum dimension of approximately 20 nm. Our findings not only elucidate the molecular organization of the hPrp19/CDC5L complex but also provide insights into potential protein-protein interactions at the core of the catalytically active spliceosome.