We describe here a multiplexed protein quantitation strategy that provides relative and absolute measurements of proteins in complex mixtures. At the core of this methodology is a multiplexed set of isobaric reagents that yield amine-derivatized peptides. The derivatized peptides are indistinguishable in MS, but exhibit intense low-mass MS/MS signature ions that support quantitation. In this study, we have examined the global protein expression of a wild-type yeast strain and the isogenic upf1⌬ and xrn1⌬ mutant strains that are defective in the nonsense-mediated mRNA decay and the general 5 to 3 decay pathways, respectively. We also demonstrate the use of 4-fold multiplexing to enable relative protein measurements simultaneously with determination of absolute levels of a target protein using synthetic isobaric peptide standards. We find that inactivation of Upf1p and Xrn1p causes common as well as unique effects on protein expression. Molecular & Cellular Proteomics 3:1154 -1169, 2004. An initial step in the systematic investigation of cellular processes is the identification and measurement of expression levels of relevant sets of proteins. Recently, quantitative approaches utilizing MS and a host of stable isotope-labeling chemistries have emerged (reviewed in Refs. 1 and 2), offering a departure from traditional techniques employing comparative two-dimensional gel electrophoresis. The ICAT quantitative labeling strategy (3, 4) is perhaps the best-characterized method for relative protein quantitation using MS. Other elegant approaches use cell-culture enrichment with a stable isotope-labeled amino acid, including arginine (5), lysine (6), tyrosine (7), and leucine (8), for in vivo incorporation of a mass difference to support relative quantitation. This circumvents potential difficulties surrounding chemical labeling downstream in a comparative experiment. All of these methods impart a mass difference as the basis for quantitation by measurement of relative peak areas of MS and/or MS/MS mass spectra. There are, however, a number of limitations imposed by mass-difference labeling. The mass-difference concept for many practical purposes is limited to a binary (2-plex) set of reagents, and this makes comparison of multiple states (e.g. several experimental controls or time-course studies) difficult to undertake. Multiple 2-plex datasets can be combined after separate analyses, but there is a high likelihood that different sets of peptides and proteins will be identified between each experiment. In addition, the use of massdifference labels increases MS complexity, and this problem increases with numbers of a multiplexed set. Finally, the cysteine-selective affinity strategy for reduction of sample complexity (ICAT) is not amenable to identification of post-translationally modified peptides, as the majority of posttranslational modification (PTM) 1 -containing peptides are discarded at the affinity step. We have developed a multiplexed set of reagents for quantitative protein analysis that place isobaric mass labels at the N termini and lysine side chains of peptides in a digest mixture. The reagents are differentially isotopically labeled such that all derivatized peptides are isobaric and chromatographically indistinguishable, but yield signature or reporter ions following CID that can be used to identify and quantify individual members of the multiplex set. Absolute quantitation of targeted proteins can also be achieved using synthetic peptides tagged with one of the members of the multiplex reagent set. In this study, we make use of a 4-fold (4-plex) multiplex strategy to simultaneously determine relative protein levels in three yeast strains and provide a demonstration of the ability to measure the absolute quantity of specific target proteins From ‡Applied Biosystems, Framingham, MA 01701; §Cancer Research UK,

Global analyses of protein phosphorylation require spe-cific enrichment methods because of the typically low abundance of phosphoproteins. To date, immobilized metal ion affinity chromatography (IMAC) for phos-phopeptides has shown great promise for large-scale studies, but has a reputation for poor specificity. We in-vestigated the potential of IMAC in combination with cap-illary liquid chromatography coupled to tandem mass spectrometry for the identification of plasma membrane phosphoproteins of Arabidopsis. Without chemical modi-fication of peptides, over 75 % pure phosphopeptides were isolated from plasma membrane digests and de-tected and sequenced by mass spectrometry. We present a scheme for two-dimensional peptide separation using strong anion exchange chromatography prior to IMAC that both decreases the complexity of IMAC-purified phosphopeptides and yields a far greater coverage of monophosphorylated peptides. Among the identified se-quences, six originated from different isoforms of the plasma membrane H-ATPase and defined two previously unknown phosphorylation sites at the regulatory C termi-nus. The potential for large-scale identification of phos-phorylation sites on plasma membrane proteins will have wide-ranging implications for research in signal transduc-tion, cell-cell communication, and membrane transport

Biomarker discovery produces lists of candidate markers whose presence and level must be subsequently verified in serum or plasma. Verification represents a paradigm shift from unbiased discovery approaches to targeted, hypothesis-driven methods and relies upon specific, quantitative assays optimized for the selective detection of target proteins. Many protein biomarkers of clinical currency are present at or below the nanogram/milliliter range in plasma and have been inaccessible to date by MS-based methods. Using multiple reaction monitoring coupled with stable isotope dilution mass spectrometry, we describe here the development of quantitative, multiplexed assays for six proteins in plasma that achieve limits of quantitation in the 1–10 ng/ml range with percent coefficients of variation from 3 to 15 % without immunoaffinity enrichment of either proteins

Over the past decade, a series of experimental strategies for mass spectrometry based quantitative proteomics and corresponding computational methodology for the processing of the resulting data have been generated. We provide here an overview of the main quantification principles and available software solutions for the analysis of data generated by liquid chromatography coupled to mass spectrometry (LC-MS). Three conceptually different methods to perform quantitative LC-MS experiments have been introduced. In the first, quantification is achieved by spectral counting, in the second via differential stable isotopic labeling, and in the third by using the ion current in label-free LC-MS measurements. We discuss here advantages and challenges of each quantification approach and assess available software solutions with respect to their instrument compatibility and processing functionality. This review therefore serves as a starting point for researchers to choose an appropriate software solution for quantitative proteomic experiments based on their experimental and analytical requirements.

enhanced laser desorption ionization-time of flight mass spectrometry; MALDI-TOF, matrix-enhanced laser desorption ionization-time of flight; ESI, electrospray ionization; MudPIT, multidimensional protein identification technology; FTICR, fourier-transform ion cyclotron resonance; GC/MS, gas chromatography/mass spectrometry; ICAT, isotope-coded affinity tag; TTR, transthyretin; FDA, Food and

Immunomodulators of pathogens frequently affect multiple cellular targets, thus preventing recognition by different immune cells. For instance, the K5 modulator of immune recognition (MIR2) from Kaposi sarcoma–associated herpesvirus prevents activation of cytotoxic T cells, natural killer cells, and natural killer T cells by downregulating major histocompatibility complex (MHC) class I molecules, the MHC-like molecule CD1, the cell adhesion molecules ICAM-1 and PECAM, and the co-stimulatory molecule B7.2. K5 belongs to a family of viral- and cellular-membrane-spanning RING ubiquitin ligases. While a limited number of transmembrane proteins have been shown to be targeted for degradation by this family, it is unknown whether additional targets exist. We now describe a quantitative proteomics approach to identify novel targets of this protein family. Using stable isotope labeling by amino acids, we compared the proteome of plasma, Golgi, and endoplasmic reticulum membranes in the presence and absence of K5. Mass spectrometric protein identification revealed four proteins that were consistently underrepresented in the plasma membrane of K5 expression cells: MHC I (as expected), bone marrow stromal antigen 2 (BST-2, CD316), activated leukocyte cell adhesion molecule (ALCAM, CD166) and Syntaxin-4. Downregulation of each of these proteins was independently confirmed by immunoblotting with specific antibodies. We further demonstrate that ALCAM is a bona fide target of both K5 and the myxomavirus homolog M153R. Upon exiting the endoplasmic reticulum, ALCAM is ubiquitinated in the presence of wild-type, but not RING-deficient or acidic motif–deficient, K5, and is targeted for

During the past two decades, mass spectrometry has become established as the primary method for protein identification from complex mixtures of biological origin. This is largely attributable to the fortunate coincidence of instrumental advances that allow routine analysis of minute amounts (typically femtomoles) of involatile, polar compounds such as peptides in complex mixtures, with the rapid growth in genomic databases that are amenable to searching with mass spectrometry (MS) 1 data. Like many other developing fields in science, the creation of techniques and software tools and the initial generation and interpretation of data have been the domain of experts, people who are cognizant not only of the benefits of the methods but also of their actual and potential weaknesses. Now, as mass spectrometric techniques and proteomic tools become increasingly available and accessible,

Recent advances in proteomics technologies provide tremendous opportunities for biomarker-related clinical applications; however, the distinctive characteristics of human biofluids such as the high dynamic range in protein abundances and extreme complexity of the proteomes present tremendous challenges. In this review we summarize recent advances in LC-MS-based proteomics profiling and its applications in clinical proteomics as well as discuss the major challenges associated with implementing these technologies for more effective candidate biomarker discovery. Developments in immunoaffinity depletion and various fractionation approaches in combination with substantial improvements in LC-MS platforms have enabled the plasma proteome to be profiled with considerably greater dynamic range of coverage,

Realization of the advantages of stable isotope labeling for proteomics has emerged gradually. However, many stable isotope label approaches rely on labeling in vitro using complex and sometimes expensive reagents. This review discusses strategies for labeling protein in vivo through metabolic incorporation of label into protein. This approach has many advantages, is particularly suited to single cells grown in culture (prokaryotic or eukaryotic), but is nonetheless subject to a number of complicating factors that must be controlled so that meaningful exper-iments can be conducted. Confounding issues include the metabolic lability of the amino acid precursor, incomplete labeling, and the role of protein turnover in labeling kinet-ics. All of these are controllable, provided that appropriate precautions are adopted. Molecular & Cellular Pro-

their responses to water deficit and salinity