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PubMed2001

Quantitative profiling of differentiation-induced microsomal proteins using isotope-coded affinity tags and mass spectrometry.

An approach to the systematic identification and quantification of the proteins contained in the microsomal fraction of cells is described. It consists of three steps: (1) preparation of microsomal fractions from cells or tissues representing different states; (2) covalent tagging of the proteins with isotope-coded affinity tag (ICAT) reagents followed by proteolysis of the combined labeled protein samples; and (3) isolation, identification, and quantification of the tagged peptides by multidimensional chromatography, automated tandem mass spectrometry, and computational analysis of the obtained data. The method was used to identify and determine the ratios of abundance of each of 491 proteins contained in the microsomal fractions of naïve and in vitro- differentiated human myeloid leukemia (HL-60) cells. The method and the new software tools to support it are well suited to the large-scale, quantitative analysis of membrane proteins and other classes of proteins that have been refractory to standard proteomics technology.

Affinity Labels↗
PubMed2003

Homodirectional changes in transcriptome composition and mRNA translation induced by rapamycin and heat shock.

Transcription and mRNA turnover determine the quantitative composition of the cellular transcriptome. The transcriptome in turn serves as a template for the proteome via translation. Treatment of Saccharomyces cerevisiae with the TOR kinase inhibitor rapamycin causes increases and decreases in the mRNA levels of hundreds of genes. We used DNA microarray analysis to monitor simultaneously transcriptome and translational changes for all detectable yeast mRNAs. Notably, genes that are induced in the transcriptome correlate tightly with more efficiently translated mRNAs (based on their relative degree of polyribosome association); similarly, genes that show reduced mRNA levels after rapamycin treatment also show lower translational fitness. Microarray analyses on heat-shocked cells also reveal homodirectional co-regulatory responses. Thus, signal-induced changes in the transcriptome are amplified at the translational level. These results unveil a higher level of coordinated gene regulation that we refer to as 'potentiation.'

Enzyme Inhibitors↗
PubMed2006

Protein biomarkers in a mouse model of extremes in trait anxiety.

Brain proteome analysis of mice selectively bred for either high or low anxiety-related behavior revealed quantitative and qualitative protein expression differences. The enzyme glyoxalase-I was consistently expressed to a higher extent in low anxiety as compared with high anxiety mice in several brain areas. The same phenotype-dependent difference was also found in red blood cells with normal and cross-mated animals showing intermediate expression profiles of glyoxalase-I. Another protein that showed a different mobility during two-dimensional gel electrophoresis was identified as enolase phosphatase. The presence of both protein markers in red or white blood cells, respectively, creates the opportunity to screen for their expression in clinical blood specimens from patients suffering from anxiety.

Amygdala↗
PubMed2004

A new set of BXD recombinant inbred lines from advanced intercross populations in mice.

BACKGROUND: Recombinant inbred (RI) strains are an important resource for mapping complex traits in many species. While large RI panels are available for Arabidopsis, maize, C. elegans, and Drosophila, mouse RI panels typically consist of fewer than 30 lines. This is a severe constraint on the power and precision of mapping efforts and greatly hampers analysis of epistatic interactions. RESULTS: In order to address these limitations and to provide the community with a more effective collaborative RI mapping panel we generated new BXD RI strains from two independent advanced intercrosses (AI) between C57BL/6J (B6) and DBA/2J (D2) progenitor strains. Progeny were intercrossed for 9 to 14 generations before initiating inbreeding, which is still ongoing for some strains. Since this AI base population is highly recombinant, the 46 advanced recombinant inbred (ARI) strains incorporate approximately twice as many recombinations as standard RI strains, a fraction of which are inevitably shared by descent. When combined with the existing BXD RI strains, the merged BXD strain set triples the number of previously available unique recombinations and quadruples the total number of recombinations in the BXD background. CONCLUSION: The combined BXD strain set is the largest mouse RI mapping panel. It is a powerful tool for collaborative analysis of quantitative traits and gene function that will be especially useful to study variation in transcriptome and proteome data sets under multiple environments. Additional strains also extend the value of the extensive phenotypic characterization of the previously available strains. A final advantage of expanding the BXD strain set is that both progenitors have been sequenced, and approximately 1.8 million SNPs have been characterized. This provides unprecedented power in screening candidate genes and can reduce the effective length of QTL intervals. It also makes it possible to reverse standard mapping strategies and to explore downstream effects of known sequence variants.

Animals↗
PubMed2006

Circadian orchestration of the hepatic proteome.

Circadian rhythms are essential to health. Their disruption is associated with metabolic diseases in experimental animals and man. Local metabolic rhythms represent an output of tissue-based circadian clocks. Attempts to define how local metabolism is temporally coordinated have focused on gene expression by defining extensive and divergent "circadian transcriptomes" involving 5%-10% of genes assayed. These analyses are inevitably incomplete, not least because metabolic coordination depends ultimately upon temporal regulation of proteins. We therefore conducted a systematic analysis of a mammalian "circadian proteome." Our analysis revealed that up to 20% of soluble proteins assayed in mouse liver are subject to circadian control. Many of these circadian proteins are novel and cluster into discrete phase groups so that the liver's enzymatic profile contrasts dramatically between day and night. Unexpectedly, almost half of the cycling proteins lack a corresponding cycling transcript, as determined by quantitative PCR, microarray, or both and revealing for the first time the extent of posttranscriptional mechanisms as circadian control points. The circadian proteome includes rate-limiting factors in vital pathways, including urea formation and sugar metabolism. These findings provide a new perspective on the extensive contribution of circadian programming to hepatic physiology.

Animals↗
PubMed2003

Multi-component immunoaffinity subtraction chromatography: an innovative step towards a comprehensive survey of the human plasma proteome.

In order to discover novel protein markers indicative of disease processes or drug effects, the proteomics technology platform most commonly used consists of high resolution protein separation by two-dimensional electrophoresis (2-DE), mass spectrometric identification of proteins from stained gel spots and a bioinformatic data analysis process supported by statistics. This approach has been more successful in profiling proteins and their disease- or treatment-related quantitative changes in tissue homogenates than in plasma samples. Plasma protein display and quantitation suffer from several disadvantages: very high abundance of a few proteins; high heterogeneity of many proteins resulting in long charge trains; crowding of 2-DE separated protein spots in the molecular mass range between 45-80 kD and in the isoelectric point range between 4.5 and 6. Therefore, proteomic technologies are needed that address these problems and particularly allow accurate quantitation of a larger number of less abundant proteins in plasma and other body fluids. The immunoaffinity-based protein subtraction chromatography (IASC) described here removes multiple proteins present in plasma and serum in high concentrations effectively and reproducibly. Applying IASC as an upfront plasma sample preparation process for 2-DE, the protein spot pattern observed in gels changes dramatically and at least 350 additional lower abundance proteins are visualized. Affinity-purified polyclonal antibodies (pAbs) are the immunoaffinity reagents used to specifically remove the abundant proteins such as albumin, immunoglobulin G, immunoglobulin A, transferrin, haptoglobin, alpha-1-antitrypsin, hemopexin, transthyretin, alpha-2-HS glycoprotein, alpha-1-acid glycoprotein, alpha-2-macroglobulin and fibrinogen from human plasma samples. To render the immunoaffinity subtraction procedure recyclable, the pAbs are immobilized and cross-linked on chromatographic matrices. Antibody-coupled matrices specific for one protein each can be pooled to form mixed-bed IASC columns. We show that up to ten affinity-bound plasma proteins with similar solubility characteristics are eluted from a mixed-bed column in one step. This facilitates automated chromatographic processing of plasma samples in high throughput, which is desirable in proteomic disease marker discovery projects.

Antibodies↗
PubMed2003

Proteomics in the postgenomic age.

Technical developments in the field of proteomics are poised to generate advances in our understanding of protein structure, function, and organization in complex signaling and regulatory networks. Improvements in mass spectrometry instrumentation, the implementation of protein arrays, and the development of robust informatics software are providing sensitive, high-throughput technologies for large-scale identification and quantitation of protein expression, protein modifications, subcellular localization, protein function, and protein-protein interactions. These advances have significant implications for understanding how cellular proteomes are regulated in health and disease.

Animals↗
PubMed2006

Proteomics and laser microdissection.

Two-dimensional gel electrophoresis (2-DE) combined with protein identification by mass spectrometry (MS) is currently the method of choice in the majority of proteomic projects. Novel gel-free technologies have been developed but 2-DE remains the technique of choice for quantitative expression profiling of large sets of complex protein mixtures such as whole cell/tissue lysates. Solubilized proteins are separated in the first dimension according to their charge properties (isoelectric point, pI) by isoelectric focusing (IEF) under denaturing conditions, followed by their separation in the second dimension by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), according to their relative molecular mass (Mr). 2-DE can resolve more than 5000 proteins simultaneously (approximately 2000 proteins routinely) and can detect less than 1 ng of protein per spot. Furthermore, it delivers a map of intact proteins, which reflects changes in protein expression level, isoforms or posttranslational modifications. In this chapter we describe the various steps in the 2-DE proteomics workflow, namely sample preparation, solubilization, 2-D gel electrophoresis, protein detection and visualization, and protein identification by mass spectrometry. The use of 2-DE in conjunction with laser microdissection microscopy is presented and discussed.

Animals↗
PubMed2005

Evaluation of several two-dimensional gel electrophoresis techniques in cardiac proteomics.

Two-dimensional gel electrophoresis (2-DE) is currently the best method for separating complex mixtures of proteins, and its use is gradually becoming more common in cardiac proteome analysis. A number of variations in basic 2-DE have emerged, but their usefulness in analyzing cardiac tissue has not been evaluated. The purpose of the present study was to systematically evaluate the capabilities and limitations of several 2-DE techniques for separating proteins from rat heart tissue. Immobilized pH gradient strips of various pH ranges, parameters of protein loading and staining, subcellular fractionation, and detection of phosphorylated proteins were studied. The results provide guidance for proteome analysis of cardiac and other tissues in terms of selection of the isoelectric point separating window for cardiac proteins, accurate quantitation of cardiac protein abundance, stabilization of technical variation, reduction of sample complexity, enrichment of low-abundant proteins, and detection of phosphorylated proteins.

Animals↗
PubMed2005

Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry.

The combined method of LC-MS/MS is increasingly being used to explore differences in the proteomic composition of complex biological systems. The reliability and utility of such comparative protein expression profiling studies is critically dependent on an accurate and rigorous assessment of quantitative changes in the relative abundance of the myriad of proteins typically present in a biological sample such as blood or tissue. In this review, we provide an overview of key statistical and computational issues relevant to bottom-up shotgun global proteomic analysis, with an emphasis on methods that can be applied to improve the dependability of biological inferences drawn from large proteomic datasets. Focusing on a start-to-finish approach, we address the following topics: 1) low-level data processing steps, such as formation of a data matrix, filtering, and baseline subtraction to minimize noise, 2) mid-level processing steps, such as data normalization, alignment in time, peak detection, peak quantification, peak matching, and error models, to facilitate profile comparisons; and, 3) high-level processing steps such as sample classification and biomarker discovery, and related topics such as significance testing, multiple testing, and choice of feature space. We report on approaches that have recently been developed for these steps, discussing their merits and limitations, and propose areas deserving of further research.

Animals↗
PubMed2004

An integrative approach to in-vivo protein synthesis measurement: from whole tissue to specific proteins.

PURPOSE OF REVIEW: In-vivo estimation of protein turnover by stable isotopes in animals and humans has provided much relevant information on metabolic regulation and alterations for decades. While it was first appreciated at the whole body level in the 1970s and 1980s, new approaches have allowed inter-organ or tissue protein turnover rates to be measured, notably the incorporation rate of a labelled amino acid in muscle. These technical improvements have recently been completed by new isolation methods for the study of protein synthesis rates in various muscle and hepatic protein fractions in different blood cells or tissues such as bone and skin. RECENT FINDINGS: This new insight into tissue protein synthesis opens the door for exploration of single proteins, which may be fully achievable in the near future through the combination of proteomics analysis and technical progress in mass spectrometry. This is, therefore, a new area in which not only quantitative but also qualitative changes in specific proteins will be considered for a fully integrative approach to assessing protein metabolism in physiology and disease. SUMMARY: To understand the mechanisms by which protein metabolism is altered during physiopathological situations, it is of importance to measure the effect on specific proteins rather than on the body as a whole. Procedures are currently under development with the aim of isolating individuals proteins and to measure their synthesis rates by isotopic methods. Such technical progress is needed to gain a better understanding of the regulation of protein metabolism in situations in which loss of body protein mass occurs.

Bone and Bones↗
PubMed2006

Comparative proteomic analysis of metabolically labelled proteins from Plasmodium falciparum isolates with different adhesion properties.

The virulence of Plasmodium falciparum relates in part to the cytoadhesion characteristics of parasitized erythrocytes but the molecular basis of the different qualitative and quantitative binding phenotypes is incompletely understood. This paucity of information is due partly to the difficulty in working with membrane proteins, the variant nature of these surface antigens and their relatively low abundance. To address this two-dimensional (2D) protein profiles of closely related, but phenotypically different laboratory strains of P. falciparum have been characterized using proteomic approaches. Since the mature erythrocyte has no nucleus and no protein synthesis capability, metabolic labelling of proteins was used to selectively identify parasite proteins and increase detection sensitivity.A small number of changes (less than 10) were observed between four different P. falciparum laboratory strains with distinctive cytoadherence properties using metabolic labelling, with more parasite protein changes found in trophozoite iRBCs than ring stage. The combination of metabolic labelling and autoradiography can therefore be used to identify parasite protein differences, including quantitative ones, and in some cases to obtain protein identifications by mass spectrometry. The results support the suggestion that the membrane protein profile may be related to cytoadherent properties of the iRBCs. Most changes between parasite variants were differences in iso-electric point indicating differential protein modification rather than the presence or absence of a specific peptide.

Animals↗
PubMed2001

Proteomic profiling of the cancer microenvironment by antibody arrays.

Critical changes in protein expression that enable tumors to initiate and progress originate in the local tissue microenvironment, and there are increasing indications that these microenvironmental alterations in protein expression play critical roles in shaping and directing this process. As a model to better understand how patterns of protein expression shape the tissue microenvironment, we analyzed protein expression in tissue derived from squamous cell carcinoma of the oral cavity through an antibody microarray approach for high-throughput proteomic analysis. Utilizing laser capture microdissection to procure total protein from specific microscopic cellular populations, we demonstrate that quantitative, and potentially qualitative, differences in expression patterns of multiple proteins within epithelial cells reproducibly correlate with oral cavity tumor progression. Furthermore, differential expression of multiple proteins was also found in stromal cells surrounding and adjacent to regions of diseased epithelium that directly correlated with tumor progression of the epithelium. Most of the proteins identified in both cell types are involved in signal transduction pathways, thus we hypothesize that extensive molecular communication involving complex cellular signaling between epithelium and stroma play a key role in driving oral cavity cancer progression.

Antibodies, Neoplasm↗
PubMed2004

Protease degradomics: mass spectrometry discovery of protease substrates and the CLIP-CHIP, a dedicated DNA microarray of all human proteases and inhibitors.

The biological role of most proteases in vivo is largely unknown. Therefore, to develop robust techniques to analyze the protease degradome in cells and tissues and to elucidate their substrate degradomes we have developed a dedicated and complete human protease and inhibitor microarray that we have called the CLIP-CHIP Oligonucleotides (70-mers) for identifying all 715 human proteases, inactive homologs and inhibitors were spotted in triplicate onto glass slides with a dedicated subarray containing oligonucleotides for specific human breast carcinoma genes. Initial analyses revealed the elevated expression of a number of proteases in invasive ductal cell carcinoma including ADAMTS17, carboxypeptidases A5 and M, tryptase-gamma and matriptase-2. Matrix metalloproteinases (MMPs) showed a restricted expression pattern in both normal and cancerous breast tissues with most expressed at low levels. However, of the several MMPs expressed in significant quantities, the carcinoma samples showed only slightly elevated amounts other than for MMP-28 which was strongly elevated. To discover new protease substrates we developed a novel yeast two-hybrid approach we term 'inactive catalytic domain capture' (ICDC). Here, an inactive mutant protease catalytic domain lacking the propeptide was used as a yeast two hybrid bait to screen a human fibroblast cDNA library for interactor proteins as a substrate trap. Wnt-induced signaling protein-2 (WISP-2) was identified by ICDC and was biochemically confirmed as a new MMP substrate. In another approach we used isotope-coded affinity tag (ICAT) labeling with tandem mass spectrometry to quantitate the levels of secreted or shed extracellular proteins in MDA-MB-231 breast carcinoma cell cultures in the presence or absence of membrane type 1-MMP (MT1-MMP) overexpression. By this proteomic approach we identified and biochemically confirmed that IL-8, the serine protease inhibitor SLPI, the death receptor-6, pro-TNF-alpha and CTGF are novel substrates of MT1-MMP. The utility and quantitative nature of ICAT with MS/MS analysis as a new screen for protease substrate discovery based on detection of cleaved or shed substrate products should be readily adaptable to other classes of protease for assessing proteolytic function in a cellular context.

Breast Neoplasms↗
PubMed2003

Proteomic analysis of the effect of heat stress on hexaploid wheat grain: Characterization of heat-responsive proteins from total endosperm.

High temperatures during grain filling have been reported to be one of the factors that can affect the dough properties and quality characteristics of wheat. Responses to high temperature have been related to changes in protein composition at both quantitative and qualitative levels. The present study was conducted to determine the influence of high temperature during grain filling on the protein composition of bread wheat evaluated by proteomic tools. Plants were grown in the field and transferred to cabinets soon after flowering. They were subjected to two thermal regimes 18 degrees C/10 degrees C (day/night) and 34 degrees C/10 degrees C. Total proteins were extracted from control grains and treated plants at three different post-anthesis stages. The proteins were separated by two-dimensional gel electrophoresis and analysed by Melanie 3 software. Of the total number of mature wheat grain proteins, 37 were identified as significantly changed by heat treatment. Analysis by matrix-assisted laser desorption/ionization mass spectrometry and tandem mass spectrometry coupled with database searching allowed the characterization of 25 heat-induced proteins and only one heat-decreased protein spot. To learn more about the function of the identified proteins, we examined their expression during treatment.

Chromatography, High Pressure Liquid↗
PubMed2003

Bioinformatics meets proteomics--bridging the gap between mass spectrometry data analysis and cell biology.

Proteomics research programs typically comprise the identification of protein content of any given cell, their isoforms, splice variants, post-translational modifications, interacting partners and higher-order complexes under different conditions. These studies present significant analytical challenges owing to the high proteome complexity and the low abundance of the corresponding proteins, which often requires highly sensitive and resolving techniques. Mass spectrometry plays an important role in proteomics and has become an indispensable tool for molecular and cellular biology. However, the analysis of mass spectrometry data can be a daunting task in view of the complexity of the information to decipher, the accuracy and dynamic range of quantitative analysis, the availability of appropriate bioinformatics software and the overwhelming size of data files. The past ten years have witnessed significant technological advances in mass spectrometry-based proteomics and synergy with bioinformatics is vital to fulfill the expectations of biological discovery programs. We present here the technological capabilities of mass spectrometry and bioinformatics for mining the cellular proteome in the context of discovery programs aimed at trace-level protein identification and expression from microgram amounts of protein extracts from human tissues.

Computational Biology↗
PubMed2005

Identification of parathyroid hormone-regulated proteins in mouse bone marrow cells by proteomics.

The ability of parathyroid hormone (PTH) to enhance bone formation has recently been exploited in the treatment of osteoporosis. Several studies have suggested that the activation of bone marrow stromal cells could be preceded to show the anabolic effect of PTH on bone formation, but little is known of PTH-regulated proteins in bone marrow cells. Therefore, protein profiling in the intermittent PTH-treated bone marrow cells was evaluated using proteomics. Daily treatment for 5 days consisting of subcutaneous injection of either 150 microg/kg per day of mouse PTH (1-84) or vehicle (0.9% normal saline) was performed on the ICR mouse. At the end of the treatment period, bone marrow cells were separated and used in proteomics. The expression levels of seven proteins including vimentin were decreased, but those of four proteins including calreticulin and thioredoxin domain containing 7 protein (Txnde7) were increased. Among these, the decrease of vimentin and the increase of both calreticulin Txnde7 in mRNA levels were confirmed by semi-quantitative RT-PCR. In PTH-treated mouse MC3T3-E1 osteoblast cells, mRNA expression levels were not totally consistent with the results observed in proteomics. In conclusion, the differentially expressed proteins in bone marrow cells depending on PTH could be highly linked to the differentiation of osteoprogenitor cells in the bone marrow into preosteoblast cells.

Animals↗
PubMed2005

An automated method for the analysis of stable isotope labeling data in proteomics.

An algorithm is presented for the generation of a reliable peptide component peak table from liquid chromatography-mass spectrometry (LC-MS) and subsequent quantitative analysis of stable isotope coded peptide samples. The method uses chemical noise filtering, charge state fitting, and deisotoping toward improved analysis of complex peptide samples. Overlapping peptide signals in mass spectra were deconvoluted by correlation with modeled peptide isotopic peak profiles. Isotopic peak profiles for peptides were generated in silico from a protein database producing reference model distributions. Doublets of heavy and light labeled peak clusters were identified and compared to provide differential quantification of pairs of stable isotope coded peptides. Algorithms were evaluated using peptides from digests of a single protein and a seven-protein mixture that had been differentially coded with stable isotope labeling agents and mixed in known ratios. The experimental results correlated well with known mixing ratios.

Algorithms↗