Proteolytic 18O labeling for comparative proteomics: model studies with two serotypes of adenovirus

A new method for proteolytic stable isotope labeling is introduced to provide quantitative and concurrent comparisons between individual proteins from two entire proteome pools or their subfractions. Two 18O atoms are incorporated universally into the carboxyl termini of all tryptic peptides during the proteolytic cleavage of all proteins in the first pool. Proteins in the second pool are cleaved analogously with the carboxyl termini of the resulting peptides containing two 16O atoms (i.e., no labeling). The two peptide mixtures are pooled for fractionation and separation, and the masses and isotope ratios of each peptide pair (differing by 4 Da) are measured by high-resolution mass spectrometry. Short sequences and/or accurate mass measurements combined with proteomics software tools allow the peptides to be related to the precursor proteins from which they are derived. Relative signal intensities of paired peptides quantify the expression levels of their precursor proteins from proteome pools to be compared, using an equation described in the paper. Observation of individual (unpaired) peptides is mainly interpreted as differential modification or sequence variation for the protein from the respective proteome pool. The method is evaluated here in a comparison of virion proteins for two serotypes (Ad5 and Ad2) of adenovirus, taking advantage of information already available about protein sequences and concentrations. In general, proteolytic 18O labeling enables a shotgun approach for proteomic studies with quantitation capability and is proposed as a useful tool for comparative proteomic studies of very complex protein mixtures.     

Isobaric peptide termini labeling utilizing site-specific N-terminal succinylation

Recently, we introduced a novel approach for protein quantification based on isobaric peptide termini labeling (IPTL). In IPTL, both peptide termini are dervatized in two separate chemical reactions with complementary isotopically labeled reagents to generate isobaric peptide pairs. Here, we describe a novel procedure for the two chemical reactions to enable a cost-effective and rapid method. We established a selective N-terminal peptide modification reaction using succinic anhydride. Dimethylation was used as second chemical reaction to derivatize lysine residues. Both reactions can be performed within 15 min in one pot, and micropurification of the peptides between the two reactions was not necessary. For data analysis, we developed the force-find algorithm in IsobariQ which searches for corresponding peaks to build up peak pairs in tandem mass spectrometry (MS/MS) spectra where Mascot could not identify opposite sequences. Utilizing force-find, the number of quantified proteins was improved by more than 50% in comparison to the standard data analysis in IsobariQ. This was applied to compare the proteome of HeLa cells incubated with S-trityl-L-cysteine (STLC) to induce mitotic arrest and apoptosis. More than 50 proteins were found to be quantitatively changed, and most of them were previously reported in other proteome analyses of apoptotic cells. Furthermore, we showed that the two complementary isotopic labels coelute during liquid chromatography (LC) separation and that the linearity of relative IPTL quantification is not affected by a complex protein background. Combining the optimized reactions for IPTL with the open source data analysis software IsobariQ including force-find, we present a straightforward and rapid approach for quantitative proteomics.     

Absolute quantification of the G protein-coupled receptor rhodopsin by LC/MS/MS using proteolysis product peptides and synthetic peptide standards

Methods for the absolute quantification of a membrane protein are described using isotopically labeled or unlabeled synthetic peptides as standards. Synthetic peptides are designed to mimic peptides that are cleaved from target analyte proteins by proteolytic or chemical digestion, and the peptides selected serve as standards for quantification by LC/MS/MS on a triple quadrupole mass spectrometer. The technique is complementary to relative quantification techniques in widespread use by providing absolute quantitation of selected targets with greater sensitivity, dynamic range, and precision. Proteins that are found to be of interest by global proteome searches can be selected as targets for quantitation by the present method. This method has a much shorter analytical cycle time (minutes versus hours for the global proteome experiments), making it well suited for high-throughput environments. The present approach using synthetic peptides as standards, in conjunction with proteolytic or chemical cleavage of target proteins, allows mass spectrometry to be used as a highly selective detector for providing absolute quantification of proteins for which no standards are available. We demonstrate that quantification is simple and reliable for the integral membrane protein rhodopsin with reasonable recoveries for replicate experiments using low-micromolar solutions of rhodopsin from rod outer segments.     

Mass defect labeling of cysteine for improving peptide assignment in shotgun proteomic analyses

A method for improving the identification of peptides in a shotgun proteome analysis using accurate mass measurement has been developed. The improvement is based upon the derivatization of cysteine residues with a novel reagent, 2,4-dibromo-(2'-iodo)acetanilide. The derivitization changes the mass defect of cysteine-containing proteolytic peptides in a manner that increases their identification specificity. Peptide masses were measured using matrix-assisted laser desorption/ionization Fourier transform ion cyclotron mass spectrometry. Reactions with protein standards show that the derivatization of cysteine is rapid and quantitative, and the data suggest that the derivatized peptides are more easily ionized or detected than unlabeled cysteine-containing peptides. The reagent was tested on a 15N-metabolically labeled proteome from M. maripaludis. Proteins were identified by their accurate mass values and from their nitrogen stoichiometry. A total of 47% of the labeled peptides are identified versus 27% for the unlabeled peptides. This procedure permits the identification of proteins from the M. maripaludis proteome that are not usually observed by the standard protocol and shows that better protein coverage is obtained with this methodology.     

High-throughput comparative proteome analysis using a quantitative cysteinyl-peptide enrichment technology

A new quantitative cysteinyl-peptide enrichment technology (QCET) was developed to achieve higher efficiency, greater dynamic range, and higher throughput in quantitative proteomics that use stable-isotope labeling techniques combined with high-resolution liquid chromatography (LC)-mass spectrometry (MS). This approach involves (18)O labeling of tryptic peptides, high-efficiency enrichment of cysteine-containing peptides, and confident protein identification and quantification using the accurate mass and time tag strategy. Proteome profiling of na?ve and in vitro-differentiated human mammary epithelial cells using QCET resulted in the identification and quantification of 603 proteins in a single LC-Fourier transform ion cyclotron resonance MS analysis. Advantages of this technology include the following: (1) a simple, highly efficient method for enriching cysteinyl-peptides; (2) a high-throughput strategy suitable for extensive proteome analysis; and (3) improved labeling efficiency for better quantitative measurements. This technology enhances both the functional analysis of biological systems and the detection of potential clinical biomarkers.     

Development of a multiplexed microcapillary liquid chromatography system for high-throughput proteome analysis

Comprehensive proteome analysis requires the identification (and quantification) of the proteins in samples consisting of thousands of proteins spanning a range of abundance of several orders of magnitude. The currency of proteome analysis by mass spectrometry is the peptides generated by protein proteolysis. The high sample complexity of such samples requires a large separation capacity, which is commonly achieved by fractionation of the mixture followed by further serial separations of each fraction. The sample throughput of proteome analysis is therefore limited by the need to sequentially process large numbers of samples. We have developed a novel four-plexed microcapillary liquid chromatography system for automated, high-throughput separation of complex peptide samples. The system supports the concurrent separation of four different samples by directing identically split solvent-gradient flows into four microcapillary C18 columns. The simple design of the system achieves multiplexed separation without the need for extra solvent pumps. Peak resolution, reproducibility, and parallel separating capacity of the system were investigated using standard peptides. The applicability of the system to high-throughput protein expression profiling was demonstrated in qualitative and quantitative analyses of protein expression in S. cerevisiae grown on two different carbon sources using the isotope-coded affinity tag (ICAT) reagent and matrix-assisted desorption/ionization quadrupole time-of-flight mass spectrometry.     

Metabolic labeling of mammalian organisms with stable isotopes for quantitative proteomic analysis

To quantify proteins on a global level from mammalian tissue, a method was developed to metabolically introduce 15N stable isotopes into the proteins of Rattus norvegicus for use as internal standards. The long-term metabolic labeling of rats with a diet enriched in 15N did not result in adverse health consequences. The average 15N amino acid enrichments reflected the relative turnover rates in the different tissues and ranged from 74.3 mpe in brain to 92.2 mpe in plasma. Using the 15N-enriched liver as a quantitative internal standard, changes in individual protein levels in response to cycloheximide treatment were measured for 310 proteins. These measurements revealed 127 proteins with altered protein level (p < 0.05). Most proteins with altered level have previously reported functions involving xenobiotic metabolism and protein-folding machinery of the endoplasmic reticulum. This approach is a powerful tool for the global quantitation of proteins, is capable of measuring proteome-wide changes in response to a drug, and will be useful for studying animal models of disease.     

Stable-isotope dimethyl labeling for quantitative proteomics

In this paper, we report a novel, stable-isotope labeling strategy for quantitative proteomics that uses a simple reagent, formaldehyde, to globally label the N-terminus and epsilon-amino group of Lys through reductive amination. This labeling strategy produces peaks differing by 28 mass units for each derivatized site relative to its nonderivatized counterpart and 4 mass units for each derivatized isotopic pair. This labeling reaction is fast (less than 5 min) and complete without any detectable byproducts based on the analysis of MALDI and LC/ESI-MS/MS spectra of both derivatized and nonderivatized peptide standards and tryptic peptides of hemoglobin molecules. The intensity of the a(1) and y(n-1) ions produced, which were not detectable from most of the nonderivatized fragments, was substantially enhanced upon labeling. We further tested the method based on the analysis of an isotopic pair of peptide standards and a pair of defined protein mixtures with known H/D ratios. Using LC/MS for quantification and LC/MS/MS for peptide sequencing, the results show a negligible isotopic effect, a good mass resolution between the isotopic pair, and a good correlation between the experimental and theoretical data (errors 0-4%). The relative standard deviation of H/D values calculated from peptides deduced from the same protein are less than 13%. The applicability of the method for quantitative protein profiling was also explored by analyzing changes in nuclear protein abundance in an immortalized E7 cell with and without arsenic treatment.     

Relative quantitation of intact proteins of bacterial cell extracts using coextracted proteins as internal standards

A method for quantitating protein expression using LC/MS of whole proteins is described. This method is based on the fact that some proteins present in cells are abundant universal proteins whose expression levels exhibit little variation. This method demonstrates that these coextracted proteins can be used as internal standards to which the other proteins in the sample can be compared. By comparing the intensities of a selected protein to marker proteins, or internal standards, a relative ratio is obtained. This ratio can then be used to determine the relative amount of protein expression between cellular extracts. The validity of this approach is described for a standard protein mixture, as well as, E. coli cells that were known to differentially express green fluorescent protein.     

Evaluation of the deuterium isotope effect in zwitterionic hydrophilic interaction liquid chromatography separations for implementation in a quantitative proteomic approach

Quantitative methodologies for the global in-depth comparison of proteomes are frequently based on chemical derivatization of peptides with isotopically distinguishable labeling agents. In the present work, we set out to study the feasibility of the dimethyl labeling method in combination with ZIC-cHILIC (zwitterionic hydrophilic interaction liquid chromatography) technology for quantitative proteomics. We first addressed the potential issue of isotope effects perturbing the essential coelution of differently labeled peptides under ZIC-cHILIC separation. The deuterium incorporation-induced effect can be largely eliminated by favoring the mixed-mode ZIC-cHILIC separation based on combined hydrophilic and ionic interactions. Then, we evaluated the performance and applicability of this strategy using a sample consisting of human cell lysate. We demonstrate that our approach is suitable to perform unbiased quantitative proteome analysis, still quantifying more than 2500 proteins when analyzing only a few micrograms of sample.     

Top-down approaches for measuring expression ratios of intact yeast proteins using Fourier transform mass spectrometry

The extension of quantitation methods for small peptides to ions above 5 kDa, and eventually to global quantitative proteomics of intact proteins, will require extensive refinement of current analytical approaches. Here we evaluate postgrowth Cys-labeling and 14N/15N metabolic labeling strategies for determination of relative protein expression levels and their posttranslational modifications using top-down mass spectrometry (MS). We show that intact proteins that are differentially alkylated with acrylamide (+71 Da) versus iodoacetamide (+57 Da) have substantial chromatographic shifts during reversed-phase liquid chromatography separation (particularly in peak tails), indicating a requirement for stable isotopes in alkylation tags for top-down MS. In the 14N/15N metabolic labeling strategy, we achieve 98% 15N incorporation in yeast grown 10 generations under aerobic conditions and determine 50 expression ratios using Fourier transform ion cyclotron resonance MS in comparing these cells to anaerobically grown control (14N) cells. We devise quantitative methods for top-down analyses, including a correction factor for accurate protein ratio determination based upon the signal-to-noise ratio. Using a database of 200 yeast protein forms identified previously by top-down MS, we verify the intact mass tag concept for protein identification without tandem MS. Overall, we find that top-down MS promises work flows capable of large-scale proteome profiling using stable isotope labeling and the determination of >5 protein ratios per spectrum.     

Peptide mass mapping constrained with stable isotope-tagged peptides for identification of protein mixtures.

Through proteolysis and peptide mass determination using mass spectrometry, a peptide mass map (PMM) can be generated for protein identification. However, insufficient peptide mass accuracy and protein sequence coverage limit the potential of the PMM approach for high-throughput, large-scale analysis of proteins. In our novel approach, nonlabile protons in particular amino acid residues were replaced with deuteriums to mass-tag proteins of the S. cerevisiae proteome in a sequence-specific manner. The resulting mass-tagged proteolytic peptides with characteristic mass-split patterns can be identified in the data search using constraints of both amino acid composition and mass-to-charge ratio. More importantly, the mass-tagged peptides can further act as internal calibrants with high confidence in a PMM to identify the parent proteins at modest mass accuracy and low sequence coverage. As a result, the specificity and accuracy of a PMM was greatly enhanced without the need for peptide sequencing or instrumental improvements to obtain increased mass accuracy. The power of PMM has been extended to the unambiguous identification of multiple proteins in a 1D SDS gel band including the identification of a membrane protein.     

In vivo termini amino acid labeling for quantitative proteomics

Quantitative proteomics is one of the research hotspots in the proteomics field and presently maturing rapidly into an important branch. The two most typical quantitative methods, stable isotope labeling with amino acids in cell culture (SILAC) and isobaric tags for relative and absolute quantification (iTRAQ), have been widely and effectively applied in solving various biological and medical problems. Here, we describe a novel quantitative strategy, termed "IVTAL", for in vivo termini amino acid labeling, which combines some advantages of the two methods above. The core of this strategy is a set of heavy amino acid (13)C(6)-arginine and (13)C(6)-lysine and specific endoproteinase Lys-N and Arg-C that yield some labeled isobaric peptides by cell culture and enzymatic digestion, which are indistinguishable in the MS scan but exhibit multiple MS/MS reporter b, y ion pairs in a full mass range that support quantitation. Relative quantification of cell states can be achieved by calculating the intensity ratio of the corresponding reporter b, y ions in the MS/MS scan. The experimental analysis for various proportions of mixed HeLa cell samples indicated that the novel strategy showed an abundance of reliable quantitative information, a high sensitivity, and a good dynamic range of nearly 2 orders of magnitude. IVTAL, as a highly accurate and reliable quantitative proteomic approach, is expected to be compatible with any cell culture system and to be especially effective for the analysis of multiple post-translational modificational sites in one peptide.     

Virtual 2-D gel electrophoresis: visualization and analysis of the E. coli proteome by mass spectrometry

Mass spectrometric surface analysis of isoelectric focusing gels provides an ultrasensitive approach to proteome analysis. This "virtual 2-D gel" approach, in which mass spectrometry is substituted for the size-based separation of SDS-PAGE, provides advantages in mass resolution and accuracy over classical 2-D gels and can be readily automated. Protein identities can be postulated from molecular mass (+/-0.1-0.2% for proteins of <50 kDa in size) and pI (+/-0.3 pH unit) and confirmed by MALDI in-source decay of the intact protein (providing sequence spanning up to 43 residues) or by peptide mass mapping following gel-wide chemical cleavage. Additionally, posttranslational modifications such as fatty acid acylation can be detected by the mass-resolved heterogeneity of component hydrocarbon chains. Sensitivity was evaluated by comparing the number of proteins detected by this method to equivalently loaded silver-stained 2-D gels. In the 5.7-6.0 pH range, E. coli is predicted to contain 435 proteins; virtual 2-D gels found 250 proteins ranging from >2 to <120 kDa in size present at levels to tens of femtomoles, as compared to the 100 proteins found by silver-staining 2-D gels. Extrapolating this result to the total theoretical proteome suggests that this technology is capable of detecting over 2500 E. coli proteins.     

Reaction-mapped quantitative multiplexed polymerase chain reaction on a microfluidic device

We have applied multiple-time-point reaction mapping to generate high-dynamic-range quantitative data from PCR multiplexes. The approach measures, then compensates, numerous PCR slope nonidealities across the multiplex without prejudice. A multilane microelectophoresis device with a novel scanning detector that reports redundantly over more than six decades in signal strength was used to collect data with multiple readings for each amplification point and with double internal calibration (lane standards and gene standards). We investigated scaling properties and sensitivity for readout of 12plex PCR reactions. The sensitive detection, stemming from confocal optics, allowed reduction of the PCR cycle number by approximately five cycles compared to commercial fluorometric readout. This increased sensitivity appears to allow quantitative PCR over a dynamic range of >9 log2 abundance ratio in multiplex reactions exceeding 20plexes. We argue that the combination of mapping, multiplexing, and an internal standard, improves the per-well efficiency of quantitative expression analysis by a factor of 50-100 relative to fluorometric qPCR readout. Therefore, the approach is attractive for analysis of large gene networks at reduced cost.     

Protein dynamics in iron-starved Mycobacterium tuberculosis revealed by turnover and abundance measurement using hybrid-linear ion trap-Fourier transform mass spectrometry

To study the proteome response of Mycobacterium tuberculosis H37Rv to a change in iron level, iron-starved late-log-phase cells were diluted in fresh low- and high-iron media containing [ (15)N]-labeled asparagine as the sole nitrogen source for labeling the proteins synthesized upon dilution. We determined the relative protein abundance and protein turnover in M. tuberculosis H37Rv under these two conditions. For measurements, we used a high-resolution hybrid-linear ion trap-Fourier transform mass spectrometer coupled with nanoliquid chromatography separation. While relative protein abundance analysis shows that only 5 proteins were upregulated by high iron, 24 proteins had elevated protein turnover for the cells in the high-iron medium. This suggests that protein turnover is a sensitive parameter to assess the proteome dynamics. Cluster analysis was used to explore the interconnection of protein abundance and turnover, revealing coordination of the cellular processes of protein synthesis, degradation, and secretion that determine the abundance and allocation of a protein in the cytosol and the extracellular matrix of the cells. Further potential utility of the approach is discussed.     

Label-free detection of clustering of membrane-bound proteins

We report a new and label-free method to detect and characterize the clustering of membrane-bound proteins and, by extension, the lateral segregation of nanosized particles adsorbed to planar surfaces in liquid environment. The method exploits the contrast between two different mass and surface sensitive detection methods, quartz crystal microbalance with dissipation monitoring and ellipsometry. The time-resolved correlation of both techniques provides insight into subtle changes in the clustering state of surface-bound molecules that is not accessible with either technique alone. A theoretical model can provide quantitative predictions about the size of surface-bound clusters.     

Optimizing identification and quantitation of 15N-labeled proteins in comparative proteomics

Comparative proteomics has emerged as a powerful approach to determine differences in protein abundance between biological samples. The introduction of stable-isotopes as internal standards especially paved the road for quantitative proteomics for comprehensive approaches to accurately determine protein dynamics. Metabolic labeling with (15)N isotopes is applied to an increasing number of organisms, including Drosophila, C. elegans, and rats. However, (15)N-enrichment is often suboptimal (<98%), which may hamper identification and quantitation of proteins. Here, we systematically investigated two independent (15)N-labeled data sets to explore the influence of heavy nitrogen enrichment on the number of identifications as well as on the error in protein quantitation. We show that specifically larger (15)N-labeled peptides are under-represented when compared to their (14)N counterparts and propose a correction method, which significantly increases the number of identifications. In addition, we developed a method that corrects for inaccurate peptide ratios introduced by incomplete (15)N enrichment. This results in improved accuracy and precision of protein quantitation. Altogether, this study provides insight into the process of protein identification and quantitation, and the methods described here can be used to improve both qualitative and quantitative data obtained by labeling with heavy nitrogen with enrichment less than 100%.