Absolute Protein Quantification Research Articles

Simultaneous accurate quantification of HO-1, CD39, and CD73 in human calcified aortic valves using multiple enzyme digestion – filter aided sample pretreatment (MED-FASP) method and targeted proteomics

Several proteins such as membrane-associated ectonucleotidases: ecto-5’-nucleotidase (E5NT/CD73) and ectonucleoside triphosphate diphosphohydrolase 1 (ENTPD1/CD39), and intracellular heme oxygenase-1 (HO-1) may contribute to protection from inflammation-related diseases such as calcific aortic valve stenosis (CAS). Accurate quantification of these proteins could contribute to better understanding of the disease mechanisms and identification of biomarkers.This report presents development and validation of quantification method for E5NT/CD73, ENTPD1/CD39 and HO-1. The multiplexed targeted proteomic assay involved antibody-free, multiple-enzyme digestion, filter-assisted sample preparation (MED-FASP) strategy and a nanoflow liquid chromatography/mass spectrometry under multiple reaction monitoring mode (LC-MRM/MS). The method developed presented high sensitivity (LLOQ of 5 pg/mL for each of the analytes) and accuracy that ranged from 92.0% to 107.0%, and was successfully applied for the absolute quantification of HO-1, CD39 and CD73 proteins in homogenates of human calcified and non-calcified valves. The absolute CD39 and CD73 concentrations were lower in calcified aortic valves (as compared to non-stenotic ones) and were found to be: 1.16 ± 0.39 vs. 3.15 ± 0.37 pmol/mg protein and 1.94 ± 0.21 vs. 2.39 ± 0.39 pmol/mg protein, respectively, while the quantity of HO-1 was elevated in calcified valves (10.72 ± 1.18 vs. 4.28 ± 0.42 amol/mg protein). These results were consistent but more reproducible as compared to immunoassays.In conclusion, multiplexed quantification of HO-1, CD39 and CD73 proteins by LC-MRM/MS works well in challenging human tissues such as aortic valves. This analysis confirmed the relevance of these proteins in pathogenesis of CAS and could be extended to other biomedical investigations.

Identification of Proteins Involved in Carbohydrate Metabolism and Energy Metabolism Pathways and Their Regulation of Cytoplasmic Male Sterility in Wheat.

Cytoplasmic male sterility (CMS) where no functional pollen is produced has important roles in wheat breeding. The anther is a unique organ for male gametogenesis and its abnormal development can cause male sterility. However, the mechanisms and regulatory networks related to plant male sterility are poorly understood. In this study, we conducted comparative analyses using isobaric tags for relative and absolute quantification (iTRAQ) of the pollen proteins in a CMS line and its wheat maintainer. Differentially abundant proteins (DAPs) were analyzed based on Gene Ontology classifications, metabolic pathways and transcriptional regulation networks using Blast2GO. We identified 5570 proteins based on 23,277 peptides, which matched with 73,688 spectra, including proteins in key pathways such as glyceraldehyde-3-phosphate dehydrogenase, pyruvate kinase and 6-phosphofructokinase 1 in the glycolysis pathway, isocitrate dehydrogenase and citrate synthase in the tricarboxylic acid cycle and nicotinamide adenine dinucleotide (NADH)-dehydrogenase and adenosine-triphosphate (ATP) synthases in the oxidative phosphorylation pathway. These proteins may comprise a network that regulates male sterility in wheat. Quantitative real time polymerase chain reaction (qRT-PCR) analysis, ATP assays and total sugar assays validated the iTRAQ results. These DAPs could be associated with abnormal pollen grain formation and male sterility. Our findings provide insights into the molecular mechanism related to male sterility in wheat.

Absolute Protein Quantification Using AQUA-Calibrated 2D-PAGE.

Absolute protein quantification for the analysis of proteome dynamics is more and more required by the scientific community. Therefore a number of methods have recently been reported that aim at determining concentrations of single proteins in complex samples, all of them having their advantages and limitations. However, for all of these methods an accurate and protein unspecific determination of the total protein amount in a given sample is urgently needed. Here a ninhydrin-based assay established to reach this goal is described. Moreover, an optimized protocol for protein digestion is an inevitable prerequisite for all mass spectrometry-based approaches aiming at absolute protein quantification. In this chapter, various aspects are described which have to be considered during validation of a suitable digestion method and a detailed protocol is presented that can be applied to the digestion of soluble proteins originated from microbes.In order to provide an absolute protein quantification workflow applicable for small scale and large scale approaches, a step-by-step guide is provided for the so-called AQUA-strategy (AQUA=absolute quantification), including selection of suited standard peptides, the development of optimized MS methods and the determination of absolute protein concentration using stable isotope dilution and selected reaction monitoring (SID-SRM). Subsequently, a workflow is introduced that combines targeted mass spectrometry and two-dimensional polyacrylamide gel electrophoresis for the large-scale determination of absolute protein amounts.

Absolute two-point quantification of proteins using dimethylated proteotypic peptides.

Absolute targeted proteomics typically employs known amounts of synthetic stable isotopically labeled peptides which are mixed with the analyte and analysed by LC-MS to determine the concentration of proteins. In order to obtain more data, we evaluated the use of two different stable isotopes of the same peptide as spike-in for absolute quantification. For this purpose, peptide labeling by reductive amination was applied, which is a mild reaction for dimethylation of amine groups with very high yield. Three different forms can be generated with e.g., light and heavy labels for spike-in peptides, and medium label for endogenous peptides. The method was studied with peptides of apolipoprotein A-I, apolipoprotein B-100, and leucine-rich alpha-2-glycoprotein without and with serum. In serum, the endogenous protein concentrations were measured across four orders of magnitude by the two-point quantification method. Less than 20% of coefficient of variation (CV) values and strong correlation with R2 of 0.99 across three analytical replicates was observed. Most importantly, the two-point quantification method allows an internal quality control of the spike-in peptide as strong deviations in ratios calculated between the first and second reference indicate a methodical error. Because of the significant lower costs than synthetically stable isotopically labeled peptides, this approach might be particularly interesting for the absolute quantification of multiple proteins.

Proteomics analysis and proteogenomic characterization of different physiopathological human lenses

BackgroundThe aim of the present study was to identify the proteomic differences among human lenses in different physiopathological states and to screen for susceptibility genes/proteins via proteogenomic characterization.MethodsThe total proteomes identified across the regenerative lens with secondary cataract (RLSC), congenital cataract (CC) and age-related cataract (ARC) groups were compared to those of normal lenses using isobaric tagging for relative and absolute protein quantification (iTRAQ). The up-regulated proteins between the groups were subjected to biological analysis. Whole exome sequencing (WES) was performed to detect genetic variations.ResultsThe most complete human lens proteome to date, which consisted of 1251 proteins, including 55.2% previously unreported proteins, was identified across the experimental groups. Bioinformatics functional annotation revealed the common involvement of cellular metabolic processes, immune responses and protein folding disturbances among the groups. RLSC-over-expressed proteins were characteristically enriched in the intracellular immunological signal transduction pathways. The CC groups featured biological processes relating to gene expression and vascular endothelial growth factor (VEGF) signaling transduction, whereas the molecular functions corresponding to external stress were specific to the ARC groups. Combined with WES, the proteogenomic characterization narrowed the list to 16 candidate causal molecules.ConclusionsThese findings revealed common final pathways with diverse upstream regulation of cataractogenesis in different physiopathological states. This proteogenomic characterization shows translational potential for detecting susceptibility genes/proteins in precision medicine.

MSE for Label-Free Absolute Protein Quantification in Complex Proteomes.

Label-free peptide quantification is a promising approach for the large-scale characterization of proteome dynamics at low cost. Here, we describe a method for absolute label-free quantification using an untargeted approach for peptide fragmentation referred to as MSE. We show that spiked external standards provide sufficient accuracy for the quantification of proteins in complex samples resulting in similar protein quantification results as spectral counting. As an advantage, label-free quantification also works for small numbers of samples whereas spectral counting requires large datasets to result in a similar robustness. The sensitivity of protein identification increases significantly when ion mobility separation is included in addition to the standard LC-MS setup in the analysis workflow. Ion mobility decreases sample complexity and serves as an additional separation criterion to align a parent ion with its product ions after MSE fragmentation. As a drawback, quantification of high abundance proteins becomes inaccurate because of detector saturation. We describe here a suitable workflow to achieve good sensitivity for protein quantification and give initial guidance on data interpretation. To achieve good identification and quantification accuracy, the protein amount loaded onto the column should not exceed 400-600ng. In a dynamic range window of 3-4 orders of magnitude, robust quantification can be obtained with complex samples comprising up to 2000-3000 proteins.

Determination of Rate-Limiting Factor for Formation of Beta-Catenin Destruction Complexes Using Absolute Protein Quantification.

Wnt/β-catenin signaling plays important roles in both ontogenesis and development. In the absence of a Wnt stimulus, β-catenin is degraded by a multiprotein "destruction complex" that includes Axin, APC, GSK3B, and FBXW11. Although the key molecules required for transducing Wnt signals have been identified, a quantitative understanding of this pathway has been lacking. Here, we calculated the absolute number of β-catenin destruction complexes by absolute protein quantification using LC-MS/MS. Similar amounts of destruction complex-constituting proteins and β-catenin interacted, and the number of destruction complexes was calculated to be about 1468 molecules/cell. We demonstrated that the calculated number of destruction complexes was valid for control of the β-catenin destruction rate under steady-state conditions. Interestingly, APC had the minimum expression level among the destruction complex components at about 2233 molecules/cell, and this number approximately corresponded to the calculated number of destruction complexes. Decreased APC expression by siRNA transfection decreased the number of destruction complexes, resulting in β-catenin accumulation and stimulation of the transcriptional activity of T-cell factor. Taken together, our results suggest that the amount of APC expression is the rate-limiting factor for the constitution of β-catenin destruction complexes.

Critical points in scientific retinal imaging

SummaryImages obviously are one of the most important category among the available data in everyday clinical ophthalmology and the visualization of different layers of retina. In experimental eye research it also play pivotal role in understanding of different biological processes of retina. This talk will focus on image capturing and analysis of mouse retina with different genetic background. In our project, we have focused on retinal pigmented epithelium (RPE) obtained from different degenerative mouse models mimicking cellular changes observed in Age‐related Macular Degeneration (AMD). The 2D and 3D of RPE images were acquired through different types of microscopy. We deliver results on modern methods of absolute nucleic acid or protein quantification (q‐PCR, WB, ELISA), but highlight the importance of imaging of the bio‐molecular processes by a range of powerful imaging weapons (stereo/light/confocal/EM/microMRI). We have carried out do novo, in and ex vivo analyzis at micro and ultrastructural level to describe the molecular fingerprints of mouse RPE features in AMD.

Targeted unlabeled multiple reaction monitoring analysis of cell markers for the study of sample heterogeneity in isolated rat brain cortical microvessels.

Liquid chromatography coupled to tandem mass spectrometry-based targeted absolute protein quantification (in fmol of the analyte protein per μg of total protein) is employed for the molecular characterization of the blood-brain barrier using isolated brain microvessels. Nevertheless, the heterogeneity of the sample regarding the levels of different cells co-isolated within the microvessels and bovine serum albumin (BSA) contamination (from buffers) are not always evaluated. We developed an unlabeled targeted liquid chromatography coupled to tandem mass spectrometry method to survey the levels of endothelial cells (ECs), astrocytes, and pericytes, as well as BSA contaminant in rat cortical microvessels. Peptide peak identities were evaluated using a spectral library and chromatographic parameters. Sprague-Dawley rat microvessels obtained on three different days were analyzed with this method complemented by an absolute quantification multiple reaction monitoring method for transporter proteins P-gp, Bcrp, and Na+ /K+ ATPase pump using stable isotope labeled peptides as internal standard. Inter-day differences in the cell markers and BSA contamination were observed. Levels of cell markers correlated positively between each other. Then, the correlation between cell marker proteins and transporter proteins was evaluated to choose the best EC marker protein for protein quantification normalization. The membrane protein Pecam-1 showed a very high correlation with the EC-specific transporter P-gp (Pearson product-moment correlation coefficient (r)>0.89) and moderate to high with Bcrp (r≥0.77), that can be found also in pericytes and astrocytes. Therefore, Pecam-1 was selected as a marker for the normalization of the quantification of the proteins of endothelial cells.

Absolute Protein Quantification by Mass Spectrometry: Not as Simple as Advertised.

Stable isotopically labeled (SIL) tryptic peptides, cleavable SIL peptides, and a full-length SIL protein were compared for internal calibration (i.e., as internal calibrators) and external calibration (i.e., as internal standards) when quantifying three forms of unlabeled, human thyroglobulin (Tg) by bottom-up protein analysis. All SIL materials and human proteins were standardized by amino acid analysis to ensure traceability of measurements and allow confident assignment of accuracy. The three forms of human Tg quantified were (1) the primary reference material BCR457-a native protein purified from human thyroids, (2) a commercially available form also purified from human thyroids, and (3) a full-length recombinant form expressed and purified from a human embryonic kidney 293 cell-line. Collectively, the results unequivocally demonstrate the lack of commutability of tryptic and cleavable SIL peptides as internal calibrators across various bottom-up assays (i.e., denaturing/digestion conditions). Further, the results demonstrate the potential during external calibration for surrogate protein calibrators (i.e., recombinant proteins) to produce inaccurate concentration assignments of native protein analytes by bottom-up analysis due to variance in digestion efficiency, which is not alleviated by altering denaturation/digestion stringency and indicates why protein calibrators may not be commutable in bottom-up protein assays. These results have implications regarding the veracity of "absolute" protein concentration assignments by bottom-up assays using peptide calibrators, as well as protein calibrators, given that absolute accuracy was not universally observed. Nevertheless, these results support the use of recombinant SIL proteins as internal standards over SIL peptides due to their ability to better mimic the digestion of human-derived proteins and mitigate bias due to digestion-based matrix effects that were observed during external calibration.

Absolute venomics: Absolute quantification of intact venom proteins through elemental mass spectrometry

We report the application of a hybrid element and molecular MS configuration for the parallel absolute quantification of μHPLC-separated intact sulfur-containing venom proteins, via ICP triple quadrupole MS and 32S/34S isotope dilution analysis, and identification by ESI-QToF-MS of the toxins of the medically important African black-necked spitting cobra, Naja nigricollis (Tanzania); New Guinea small-eyed snake, Micropechis ikaheka; and Papuan black snake, Pseudechis papuanus. The main advantage of this approach is that only one generic sulfur-containing standard is required to quantify each and all intact Cys- and/or Met-containing toxins of the venom proteome. The results of absolute quantification are in reasonably good agreement with previously reported relative quantification of the most abundant protein families. However, both datasets depart in the quantification of the minor ones, showing a tendency for this set of proteins to be underestimated in standard peptide-centric venomics approaches. The molecular identity, specific toxic activity, and concentration in the venom, are the pillars on which the toxicovenomics-aimed discovery of the most medically-relevant venom toxins, e.g. those that need to be neutralized by an effective therapeutic antivenom, should be based. The pioneering venom proteome-wide absolute quantification shown in this paper represents thus a significant advance towards this goal. The potential of ICP triple quadrupole MS in proteomics in general, and venomics in particular, is critically discussed. Biological significanceAnimal venoms provide excellent model systems for investigating interactions between predators and prey, and the molecular mechanisms that contribute to adaptive protein evolution. On the other hand, numerous cases of snake bites occur yearly by encounters of humans and snakes in their shared natural environment. Snakebite envenoming is a serious global public health issue that affects the most impoverished and geopolitically disadvantaged rural communities in many tropical and subtropical countries. Unveiling the temporal and spatial patterns of venom variability is of fundamental importance to understand the molecular basis of envenoming, a prerequisite for developing therapeutic strategies against snakebite envenoming. Research on venoms has been continuously enhanced by advances in technology. The combined application of next-generation transcriptomic and venomic workflows has demonstrated unparalleled capabilities for venom characterization in unprecedented detail. However, mass spectrometry is not inherently quantitative, and this analytical limitation has sparked the development of methods to determine absolute abundance of proteins in biological samples. Here we show the potential of a hybrid element and molecular MS configuration for the parallel ESI-QToF-MS and ICP-QQQ detection and absolute quantification of intact sulfur-containing venom proteins via 32S/34S isotope dilution analysis. This configuration has been applied to quantify the toxins of the medically important African snake Naja nigricollis (Tanzania), and the Papuan species Micropechis ikaheka and Pseudechis papuanus.

DOSCATs: Double standards for protein quantification

The two most common techniques for absolute protein quantification are based on either mass spectrometry (MS) or on immunochemical techniques, such as western blotting (WB). Western blotting is most often used for protein identification or relative quantification, but can also be deployed for absolute quantification if appropriate calibration standards are used. MS based techniques offer superior data quality and reproducibility, but WB offers greater sensitivity and accessibility to most researchers. It would be advantageous to apply both techniques for orthogonal quantification, but workflows rarely overlap. We describe DOSCATs (DOuble Standard conCATamers), novel calibration standards based on QconCAT technology, to unite these platforms. DOSCATs combine a series of epitope sequences concatenated with tryptic peptides in a single artificial protein to create internal tryptic peptide standards for MS as well as an intact protein bearing multiple linear epitopes. A DOSCAT protein was designed and constructed to quantify five proteins of the NF-κB pathway. For three target proteins, protein fold change and absolute copy per cell values measured by MS and WB were in excellent agreement. This demonstrates that DOSCATs can be used as multiplexed, dual purpose standards, readily deployed in a single workflow, supporting seamless quantitative transition from MS to WB.

Targeted Proteomics and Absolute Protein Quantification for the Construction of a Stoichiometric Host-Pathogen Surface Density Model

Sepsis is a systemic immune response responsible for considerable morbidity and mortality. Molecular modeling of host-pathogen interactions in the disease state represents a promising strategy to define molecular events of importance for the transition from superficial to invasive infectious diseases. Here we used the Gram-positive bacterium Streptococcus pyogenes as a model system to establish a mass spectrometry based workflow for the construction of a stoichiometric surface density model between the S. pyogenes surface, the surface virulence factor M-protein, and adhered human blood plasma proteins. The workflow relies on stable isotope labeled reference peptides and selected reaction monitoring mass spectrometry analysis of a wild-type strain and an M-protein deficient mutant strain, to generate absolutely quantified protein stoichiometry ratios between S. pyogenes and interacting plasma proteins. The stoichiometry ratios in combination with a novel targeted mass spectrometry method to measure cell numbers enabled the construction of a stoichiometric surface density model using protein structures available from the protein data bank. The model outlines the topology and density of the host-pathogen protein interaction network on the S. pyogenes bacterial surface, revealing a dense and highly organized protein interaction network. Removal of the M-protein from S. pyogenes introduces a drastic change in the network topology, validated by electron microscopy. We propose that the stoichiometric surface density model of S. pyogenes in human blood plasma represents a scalable framework that can continuously be refined with the emergence of new results. Future integration of new results will improve the understanding of protein-protein interactions and their importance for bacterial virulence. Furthermore, we anticipate that the general properties of the developed workflow will facilitate the production of stoichiometric surface density models for other types of host-pathogen interactions.

Identification of proteins in the aqueous humor associated with cataract development using iTRAQ methodology.

Proteins in the aqueous humor (AH) are important in the induction of cataract development. The identification of cataract-associated proteins assists in identifying patients and predisposed to the condition and improve treatment efficacy. Proteomics analysis has previously been used for identifying protein markers associated with eye diseases; however, few studies have examined the proteomic alterations in cataract development due to high myopia, glaucoma and diabetes. The present study, using the isobaric tagging for relative and absolute protein quantification methodology, aimed to examine cataract-associated proteins in the AH from patients with high myopia, glaucoma or diabetes, and controls. The results revealed that 445 proteins were identified in the AH groups, compared with the control groups, and 146, 264and130 proteins were differentially expressed in the three groups of patients, respectively. In addition, 44 of these proteins were determined to be cataract‑associated, and the alterations of five randomly selected proteins were confirmed using enzyme-linked immunosorbent assays. The biological functions of these 44 cataract-associated proteins were analyzed using Gen Ontology/pathways annotation, in addition to protein‑protein interaction network analysis. The results aimed to expand current knowledge of the pathophysiologic characteristics of cataract development and provided a panel of candidates for biomarkers of the disease, which may assist in further diagnosis and the monitoring of cataract development.

Inductively Coupled Plasma Mass Spectrometry (ICP-MS) Applications in Quantitative Proteomics.

Recent advances in inductively coupled plasma mass spectrometry (ICP-MS) hyphenated to different separation techniques have promoted it as a valuable tool in protein/peptide quantification. These emerging ICP-MS applications allow absolute quantification by measuring specific elemental responses. One approach quantifies elements already present in the structure of the target peptide (e.g. phosphorus and sulphur) as natural tags. Quantification of these natural tags allows the elucidation of the degree of protein phosphorylation in addition to absolute protein quantification. A separate approach is based on utilising bi-functional labelling substances (those containing ICP-MS detectable elements), that form a covalent chemical bond with the protein thus creating analogs which are detectable by ICP-MS. Based on the previously established stoichiometries of the labelling reagents, quantification can be achieved. This technique is very useful for the design of precise multiplexed quantitation schemes to address the challenges of biomarker screening and discovery. This review discusses the capabilities and different strategies to implement ICP-MS in the field of quantitative proteomics.

A microfluidic flow cytometer enabling absolute quantification of single-cell intracellular proteins.

Quantification of single-cell proteomics provides key insights into cellular heterogeneity while conventional flow cytometry cannot provide absolute quantification of intracellular proteins of single cells due to the lack of calibration approaches. This paper presents a constriction channel (with a cross sectional area smaller than cells) based microfluidic flow cytometer, capable of collecting copy numbers of specific intracellular proteins. In this platform, single cells stained with fluorescence labelled antibodies were forced to squeeze through the constriction channel with the fluorescence intensities quantified and since cells fully filled the constriction channel during the squeezing process, solutions with fluorescence labelled antibodies were flushed into the constriction channel to obtain calibration curves. By combining raw fluorescence data and calibration curves, absolute quantification of intracellular proteins was realized. As a demonstration, copy numbers of beta-actin of single tumour cells were quantified to be 0.90 ± 0.30 μM (A549, ncell = 14 228), 2.34 ± 0.70 μM (MCF 10A, ncell = 2455), and 0.98 ± 0.65 μM (Hep G2, ncell = 6945). The travelling time for individual cells was quantified to be roughly 10 ms and thus a throughput of 100 cells per s can be achieved. This microfluidic system can be used to quantify the copy numbers of intracellular proteins in a high-throughput manner, which may function as an enabling technique in the field of single-cell proteomics.

Blood and Plasma Proteomics: Targeted Quantitation and Posttranslational Redox Modifications.

Proteome profiling using mass spectrometry is extensively utilized to understand the physiological characteristics of cells, tissues, fluids, and many other biological matrices. From the earliest days of the proteomics era, exploratory analyses of the blood protein complement have attracted a great deal of interest, owing to the pivotal importance of blood cells and biofluids (serum, plasma) for research and biomedical purposes. Once challenged by the high dynamic range of protein concentrations, low sensitivity of mass spectrometers, and poor annotation of proteomics databases, the techniques in this field have quickly evolved in recent years, particularly in the areas of absolute quantification of proteins and in mapping of posttranslational modifications. Here we describe (a) the design and production of heavy isotope-labeled peptides used as reporter internal standards for absolute protein quantification and (b) a redox proteomics approach to optimize sample preparation and database searching to elucidate oxidative modifications to protein amino acids. The two methods achieve complimentary goals in the field of blood research and pave the way for future translation of next-generation proteomics technologies into clinical practice.

Plasma protein absolute quantification by nano-LC Q-TOF UDMSE for clinical biomarker verification.

Background and aimsProteome-based biomarker studies are targeting proteins that could serve as diagnostic, prognosis, and prediction molecules. In the clinical routine, immunoassays are currently used for the absolute quantification of such biomarkers, with the major limitation that only one molecule can be targeted per assay. The aim of our study was to test a mass spectrometry based absolute quantification method for the verification of plasma protein sets which might serve as reliable biomarker panels for the clinical practice.MethodsSix EDTA plasma samples were analyzed after tryptic digestion using a high throughput data independent acquisition nano-LC Q-TOF UDMSE proteomics approach. Synthetic Escherichia coli standard peptides were spiked in each sample for the absolute quantification. Data analysis was performed using ProgenesisQI v2.0 software (Waters Corporation).ResultsOur method ensured absolute quantification of 242 non redundant plasma proteins in a single run analysis. The dynamic range covered was 105. 86% were represented by classical plasma proteins. The overall median coefficient of variation was 0.36, while a set of 63 proteins was found to be highly stable. Absolute protein concentrations strongly correlated with values reviewed in the literature.ConclusionsNano-LC Q-TOF UDMSE proteomic analysis can be used for a simple and rapid determination of absolute amounts of plasma proteins. A large number of plasma proteins could be analyzed, while a wide dynamic range was covered with low coefficient of variation at protein level. The method proved to be a reliable tool for the quantification of protein panel for biomarker verification in the clinical practice.

A large-scale targeted proteomics assay resource based on an in vitro human proteome.

Targeted proteomics approaches are of value for deep and accurate quantification of protein abundance. Extending such methods to quantify large numbers of proteins requires the construction of predefined targeted assays. We developed a targeted proteomics platform-in vitro proteome-assisted multiple reaction monitoring (MRM) for protein absolute quantification (iMPAQT)-by using >18,000 human recombinant proteins, thus enabling protein absolute quantification on a genome-wide scale. Our platform comprises experimentally confirmed MRM assays of mass tag (mTRAQ)-labeled peptides to allow for rapid and straightforward measurement of the absolute abundance of predefined sets of proteins by mass spectrometry. We applied iMPAQT to delineate the quantitative metabolic landscape of normal and transformed human fibroblasts. Oncogenic transformation gave rise to relatively small but global changes in metabolic pathways resulting in aerobic glycolysis (Warburg effect) and increased rates of macromolecule synthesis. iMPAQT should facilitate quantitative biology studies based on protein abundance measurements.

Sample Preparation for Mass-Spectrometry Based Absolute Protein Quantification in Antibiotic Stress Research.

Absolute protein quantification is an essential tool for system biology approaches and elucidation of stoichiometry of multi-protein complexes. In this chapter, a universal protocol for gel free absolute protein quantification in bacterial systems is described, which can be used for sample preparation prior to miscellaneous mass-spectrometry-based quantification workflows like AQUA, Hi3, and emPAI. In addition, a focus has been set to the specific challenges in antibiotic stress research.