Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “quantitative proteomics”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 415 records · Page 23Linked to original sources
PubMed2002

Rainbow's end: the quest for multiplexed fluorescence quantitative analysis in proteomics.

During the past two years, the performance of fluorescence-based protein detection methods has demonstrably eclipsed conventional technologies such as colloidal Coomassie Blue and silver staining with respect to detection sensitivity, quantitative accuracy and compatibility with modern protein identification and characterization procedures. At this point, fluorescence-based methods are poised to offer unprecedented new capabilities in proteomics investigations through the performance of multi-parameter quantitative measurements. The feasibility of such measurements has already been demonstrated through the specific detection of antibiotic-binding proteins, drug-metabolizing enzymes or post-translationally glycosylated proteins, along with the total protein expression profile from electrophoretically separated, complex biological specimens.

Animals↗
PubMed2001

Rapid quantitative measurements of proteomes by Fourier transform ion cyclotron resonance mass spectrometry.

The patterns of gene expression, post-translational modifications, protein/biomolecular interactions, and how these may be affected by changes in the environment, cannot be accurately predicted from DNA sequences. Approaches for proteome characterization are generally based upon mass spectrometric analysis of in-gel digested two dimensional polyacrylamide gel electrophoresis (2-D PAGE) separated proteins, allowing relatively rapid protein identification compared to conventional approaches. This technique, however, is constrained by the speed of the 2-D PAGE separations, the sensitivity limits intrinsic to staining necessary for protein visualization, the speed and sensitivity of subsequent mass spectrometric analyses for identification, and the limited ability for accurate quantitative measurements based on differences in spot intensity. We are presently developing alternative approaches for proteomics based upon the combination of fast capillary electrophoresis, or other suitable chromatographic separations, and the high mass accuracy and sensitivity obtainable with unique Fourier transform ion cyclotron resonance (FTICR) mass spectrometers available at our laboratory. Several approaches are presently being pursued; one based upon the analysis of intact proteins and the second upon approaches for global protein digestion and accurate peptide mass analysis. Quantitation of protein/peptide levels are based on using two or more stable-isotope labeled versions of proteomes which are combined to obtain precise quantitation of relative protein abundances. We describe the status of our efforts towards the development of a high-throughput proteomics capability and present initial results for application to several microorganisms and discuss our efforts for extending the developed capability to mammalian proteomes.

Bacterial Proteins↗
PubMedDate not supplied

Quantitative analysis of the yeast proteome by incorporation of isotopically labeled leucine.

Quantitative comparison of protein expression levels in 2D gels is complicated by the variables associated with protein separation and mass spectrometric responses. Metabolic labeling allows cells from different experiments to be mixed prior to analysis. This approach has been reported for prokaryotic cells. Here, we demonstrate that metabolic labeling can also be successfully applied to the eukaryote Saccharormyces cerevisiae. Yeast leucine auxotrophs grown on synthetic complete media containing natural abundance Leu or D10-Leu were mixed prior to 2D gel separation and MALDI analysis of the digested proteins. D10-Leu labeling provided an effective internal calibrant for peptide MS analysis, and the number of Leu residues yielded an additional parameter for peptide identification at low mass resolution (1000). Metabolic incorporation of D10-Leu into yeast proteins was found to be quantitative since the intensities of the peptide peaks corresponded to those expected on the basis of the percent label in the media. Thus, D10-Leu labeling should provide reliable data for comparing proteomes both quantitatively and qualitatively from wild-type and nonessential-gene-null-mutant strains of S. cerevisiae. Given the central role played by yeast in our understanding of eukaryotic gene and protein expression, it is anticipated that the quantitative expressional proteomic method outlined here will have widespread applications.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2002

Proteomics without polyacrylamide: qualitative and quantitative uses of tandem mass spectrometry in proteome analysis.

Proteomics can be thought of as an attempt to understand the information encoded in genomic sequences from the perspective of proteins; i.e. the structure, function and regulation of biological processes at the protein level. In practice it stands in stark contrast to the hypothesis-driven serial approach practiced in the last century that was so successful for protein chemists and is built on the basic understanding of protein physicochemical properties developed during that era. Proteomics attempts to study biological processes comprehensively or globally by systematic parallel analysis of proteins expressed in a cell. While there are many analytical techniques in use and under development in proteomics, mass spectrometry is currently one of the field's most important discovery-based tools. This article will review some of the current approaches for qualitative and quantitative uses of tandem mass spectrometry in the field of proteomics specifically avoiding a discussion of the use of gel electrophoresis prior to mass spectrometry.

Mass Spectrometry↗
PubMed2006

Quantitative characterizations of proteome: dependence on the number of proteins considered.

We consider the sensitivity of numerical characterizations of proteome on the number of proteins considered in the analysis. We examined data on proteomics maps belonging to the liver cells of mice subject to four proliferators. We varied the number of proteins considered for quantitative analysis from 25 up to 1000 proteins. For each case, we have compared the similarity/dissimilarity results when different number of proteins has been considered. We found that proteins maps based on a set of about 300 most abundant proteins spots suffice for satisfactory numerical characterization of corresponding proteome.

Animals↗
PubMedDate not supplied

Proteomic tools for quantitation by mass spectrometry.

Techniques for the quantitation of proteins and peptides by mass spectrometry (MS) are reviewed. A range of labeling processes is discussed, including metabolic, enzymatic, and chemical labeling, and techniques that can be employed for comparative and absolute quantitation are presented. Advantages and drawbacks of the techniques are discussed, and suggestions for the appropriate uses of the methodologies are explained. Overall, the metabolic incorporation of isotopic labels provides the most accurate labeling strategy, and is most useful when an internal standard for comparative quantitation is needed. However, that technique is limited to research that uses cultured cells.

Animals↗
PubMed2025

Development and Validation of a Novel LC-MS/MS Based Proteomics Method for Quantitation of Retinol Binding Protein 4 (RBP4) and Transthyretin (TTR).

Retinol binding protein 4 (RBP4), the circulating carrier of retinol, complexes with transthyretin (TTR) and is a potential biomarker of cardiometabolic disease. However, RBP4 quantitation relies on immunoassays and western blots without retinol and TTR measurement. A liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for simultaneous absolute quantitation of circulating RBP4 and TTR is critical to establishing their biomarker potential. Surrogate peptides with reproducible, linear LC-MS/MS response were selected. Purified proteins were used as quantitation standards and heavy-labelled peptides as internal standards. Matrix effects were evaluated. The validated method was applied to measure inter- and intra-individual variability in RBP4 and TTR concentrations in healthy individuals and patients with diabetic kidney disease. Quantitation was linear for the clinically relevant concentration ranges of RBP4 (0.5-6 &#x3bc;M) and TTR (5.8-69 &#x3bc;M). Assay inter-day variability was <12% and precision within 5%. The inter-individual variability for RBP4 and TTR concentrations was 18-26%, while intra-individual variability was similar to assay variability. RBP4 and TTR quantitation correlated with commercially available ELISA assays. The developed LC-MS/MS method enables simultaneous absolute quantitation of RBP4 and TTR in serum and plasma that can be applied to clinical biomarker studies and stoichiometric measurements of circulating RBP4, TTR, and retinol.

Retinol binding protein 4 (RBP4)↗
PubMedDate not supplied

Isotope-coded affinity tag (ICAT) approach to redox proteomics: identification and quantitation of oxidant-sensitive cysteine thiols in complex protein mixtures.

An approach is described for the simultaneous identification and quantitation of oxidant-sensitive cysteine thiols in a complex protein mixture using a thiol-specific, acid-cleavable isotope-coded affinity tag (ICAT) reagent (Applied Biosystems, USA). The approach is based on the fact that only free cysteine thiols are susceptible to labeling by the iodoacetamide-based ICAT, and that mass spectrometry can be used to quantitate the relative labeling of free thiols. Applying this approach, we have identified cysteine thiols of proteins in a rabbit heart membrane fraction that are sensitive to a high concentration of hydrogen peroxide. Previously known and some novel proteins with oxidant-sensitive cysteines were identified. Of the many protein thiols labeled by the ICAT, only relatively few were oxidized more than 50% despite the high concentration of oxidant used, indicating that oxidant-sensitive thiols are relatively rare, and denoting their specificity and potential functional relevance.

Affinity Labels↗
PubMed2000

Strategy for qualitative and quantitative analysis in proteomics based on signature peptides.

This paper describes a new analytical strategy for identifying proteins in concentration flux based on isotopic labeling peptides in tryptic digests. Primary amino groups in peptides from control and experimental samples were derivatized with acetate and trideuteroacetate, respectively. After mixing samples thus labeled from these two sources, the relative concentration of peptides was determined by isotope ratio analysis with MALDI and ESI mass spectrometry. More than a 100-fold difference in relative concentration could be detected. Simplification of complex tryptic digests prior to mass spectral analysis was achieved by selection of histidine-containing peptides with immobilized metal affinity sorbents or of glycopeptides by lectin columns. Because most of these peptides have sequences that are unique to a single protein, they are a signature of the protein from which they were derived; providing a facile route to protein analysis.

Chromatography, Affinity↗
PubMed2006

Quantitative comparison of proteomic data quality between a 2D and 3D quadrupole ion trap.

A 2D ion trap has a greater ion trapping efficiency, greater ion capacity before observing space-charging effects, and a faster ion ejection rate than a traditional 3D ion trap mass spectrometer. These hardware improvements should result in a significant increase in protein identifications from complex mixtures analyzed using shotgun proteomics. In this study, we compare the quality and quantity of peptide identifications using data-dependent acquisition of tandem mass spectra of peptides between two commercially available ion trap mass spectrometers (an LTQ and an LCQ XP Max). We demonstrate that the increased trapping efficiency, increased ion capacity, and faster ion ejection rate of the LTQ results in greater than 5-fold more protein identifications, better identification of low-abundance proteins, and higher confidence protein identifications when compared with a LCQ XP Max.

Amino Acid Sequence↗
PubMed2006

Proteome changes after metabolic engineering to enhance aerobic mineralization of cis-1,2-dichloroethylene.

Metabolically engineered Escherichia coli has previously been used to degrade cis-1,2-dichloroethylene (cis-DCE). The strains express the six genes of an evolved toluene ortho-monooxygenase from Burkholderia cepacia G4 (TOM-Green, which formed a reactive epoxide) with either (1) gamma-glutamylcysteine synthetase (GSHI, which forms glutathione) and the glutathione S-transferase IsoILR1 from Rhodococcus AD45 (which adds glutathione to the reactive cis-DCE epoxide) or (2) with an evolved epoxide hydrolase from Agrobacterium radiobacter AD1 (EchA F108L/I219L/C248I which converts the reactive cis-DCE epoxide to a diol). Here, the impact of this metabolic engineering for bioremediation was assessed by investigating the changes in the proteome through a quantitative shotgun proteomics technique (iTRAQ) by tracking the changes due to the sequential addition of TOM-Green, IsoILR1, and GSHI and due to adding the evolved EchA versus the wild-type enzyme to TOM-Green. For the TOM-Green/EchA system, 8 proteins out of 268 identified proteins were differentially expressed in the strain expressing EchA F108L/I219L/C248I relative to wild-type EchA (e.g., EchA, protein chain elongation factor EF-Ts, 50S ribosomal subunits L7/L12/L32/L29, cysteine synthase A, glycerophosphodiester phosphodiesterase, iron superoxide dismutase). For the TOM-Green/IsoILR1/GSHI system, the expression level of 49 proteins was changed out of 364 identified proteins. The induced proteins due to the addition of TOM-Green, IsoILR1, and GSHI were involved in the oxidative defense mechanism, pyruvate metabolism, and glutathione synthesis (e.g., 30S ribosomal subunit proteins S3 and S16, 50S ribosomal subunit protein L20, alkyl hydroperoxide reductase, lactate dehydrogenase, acetate kinase, cysteine synthase A). Enzymes involved in indole synthesis, fatty acid synthesis, gluconeogenesis, and the tricarboxylic acid cycle were repressed (e.g., tryptophanase, acetyl-CoA carboxylase, phosphoenolpyruvate carboxykinase, malate dehydrogenase). Hence, the metabolic engineering that leads to enhanced aerobic degradation of 1 mM cis-DCE (2.4-4-fold more chloride ions released) and reduced toxicity from cis-DCE epoxide results in enhanced synthesis of glutathione coupled with an induced stress response as well as repression of fatty acid synthesis, gluconeogenesis, and the tricarboxylic acid cycle.

Aerobiosis↗
PubMed2006

Ultra-sensitive and quantitative characterization of proteomes.

Electrospray ionization mass spectrometry combined with high efficiency capillary liquid chromatography provides high sensitivity and broad dynamic range measurements for the characterization of biological macromolecules in complex matrices, and is an increasingly powerful analytical tool for systems biology research.

Animals↗
PubMed2024

Quantitative and Kinetic Proteomics Reveal ApoE Isoform-dependent Proteostasis Adaptations in Mouse Brain.

Apolipoprotein E (ApoE) polymorphisms modify the risk of Alzheimer's disease with ApoE4 strongly increasing and ApoE2 modestly decreasing risk relative to the control ApoE3. To investigate how ApoE isoforms alter risk, we measured changes in proteome homeostasis in transgenic mice expressing a human ApoE gene (isoform 2, 3, or 4). The regulation of each protein's homeostasis is observed by measuring turnover rate and abundance for that protein. We identified 4849 proteins and tested for ApoE isoform-dependent changes in the homeostatic regulation of ~2700 ontologies. In the brain, we found that ApoE4 and ApoE2 both lead to modified regulation of mitochondrial membrane proteins relative to the wild-type control ApoE3. In ApoE4 mice, lack of cohesion between mitochondrial membrane and matrix proteins suggests that dysregulation of proteasome and autophagy is reducing protein quality. In ApoE2, proteins of the mitochondrial matrix and the membrane, including oxidative phosphorylation complexes, had a similar increase in degradation which suggests coordinated replacement of the entire organelle. In the liver we did not observe these changes suggesting that the ApoE-effect on proteostasis is amplified in the brain relative to other tissues. Our findings underscore the utility of combining protein abundance and turnover rates to decipher proteome regulatory mechanisms and their potential role in biology.

Animals↗
PubMed2004

Characterization and quantitation of membrane proteomes using multidimensional MS-based proteomic technologies.

A major goal of proteomics is to develop methods that enable the systematic characterization of every protein within the cell or particular subcellular proteome using a single analytical platform. Although the equivalent has already been achieved in genomics, reaching this goal in proteomics represents a much greater challenge due to the wide dynamic range of protein expression, numerous post-translational modifications and remarkable physicochemical heterogeneity of proteins. A major analytical challenge has involved developing more effective means for proteome-scale investigations of membrane proteins, whose solubility differs drastically from that of cytoplasmic proteins. Fortunately, rapid progress has increased the ability to characterize this critically important class of proteins on a scale analogous to that of aqueous soluble proteins.

Cell Adhesion↗
PubMed2006

Quantitative analysis of representative proteome components and clustering of Helicobacter pylori clinical strains.

BACKGROUND: Several Helicobacter pylori proteins have been reported to be associated with severe symptoms of gastric disease. However, expression levels of most of these disease-associated proteins require further evaluation in order to clarify their relationships with gastric disease patterns. Representative proteome components of 71 clinical isolates of H. pylori were analyzed quantitatively to determine whether the protein expression levels were associated with gastric diseases and to cluster clinical isolates. METHODS: After two-dimensional electrophoresis (2-DE) of H. pylori isolates, spot intensities were analyzed using pdquest 2-D Gel Analysis Software. The intensities of 10 representative protein spots, identified by peptide fingerprinting using matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF-MS) or peptide sequencing using quadrupole TOF MS, were subjected to the nonparametric Mann-Whitney test and hierarchical agglomerative cluster analysis. The relationship between clusters and gastric diseases was analyzed by the chi-squared test. RESULTS: Although the spot intensities of the 10 representative proteins were highly variable within each gastric disease group, the expression levels of CagA, UreB, GroEL, EF-Tu, EF-P, TagD, and FldA showed some significant differences among the gastric disease patterns. On the basis of the 10 target protein intensities, hierarchical agglomerative cluster analysis generated a dendrogram with clusters indicative of chronic gastritis/gastric cancers and gastric/duodenal ulcers. CONCLUSION: These results indicated that quantitative analysis of proteome components is a feasible method for examining disease-associated proteins and clustering clinical strains of H. pylori.

Adult↗
PubMed2024

High-Throughput and High-Sensitivity Biomarker Monitoring in Body Fluid by Fast LC SureQuant IS-Targeted Quantitation.

Targeted proteomics methods have been greatly improved and refined over the last decade and are becoming increasingly the method of choice in protein and peptide quantitative assays. Despite the tremendous progress, targeted proteomics assays still suffer from inadequate sensitivity for lower abundant proteins and throughput, especially in complex biological samples. These attributes are essential for establishing targeted proteomics methods at the forefront of clinical use. Here, we report an assay utilizing the SureQuant internal standard-triggered targeted method on a latest generation mass spectrometer coupled with an EvoSep One liquid chromatography platform, which displays high sensitivity and a high throughput of 100 samples per day. We demonstrate the robustness of this method by quantifying proteins spanning six orders of magnitude in human wound fluid exudates, a biological fluid that exhibits sample complexity and composition similar to plasma. Among the targets quantified were low-abundance proteins such at tumor necrosis factor A and interleukin 1-&#x3b2;, highlighting the value of this method in the quantification of trace amounts of invaluable biomarkers that were until recently hardly accessible by targeted proteomics methods. Taken together, this method extends the toolkit of targeted proteomics assays and will help to drive forward mass spectrometry-based proteomics biomarker quantification.

Humans↗