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PubMed2006

OMICS-driven biomarker discovery in nutrition and health.

While traditional nutrition research has dealt with providing nutrients to nourish populations, it nowadays focuses on improving health of individuals through diet. Modern nutritional research is aiming at health promotion and disease prevention and on performance improvement. As a consequence of these ambitious objectives, the disciplines "nutrigenetics" and "nutrigenomics" have evolved. Nutrigenetics asks the question how individual genetic disposition, manifesting as single nucleotide polymorphisms, copy-number polymorphisms and epigenetic phenomena, affects susceptibility to diet. Nutrigenomics addresses the inverse relationship, that is how diet influences gene transcription, protein expression and metabolism. A major methodological challenge and first pre-requisite of nutrigenomics is integrating genomics (gene analysis), transcriptomics (gene expression analysis), proteomics (protein expression analysis) and metabonomics (metabolite profiling) to define a "healthy" phenotype. The long-term deliverable of nutrigenomics is personalised nutrition for maintenance of individual health and prevention of disease. Transcriptomics serves to put proteomic and metabolomic markers into a larger biological perspective and is suitable for a first "round of discovery" in regulatory networks. Metabonomics is a diagnostic tool for metabolic classification of individuals. The great asset of this platform is the quantitative, non-invasive analysis of easily accessible human body fluids like urine, blood and saliva. This feature also holds true to some extent for proteomics, with the constraint that proteomics is more complex in terms of absolute number, chemical properties and dynamic range of compounds present. Apart from addressing the most complex "-ome", proteomics represents the only platform that delivers not only markers for disposition and efficacy but also targets of intervention. The Omics disciplines applied in the context of nutrition and health have the potential to deliver biomarkers for health and comfort, reveal early indicators for disease disposition, assist in differentiating dietary responders from non-responders, and, last but not least, discover bioactive, beneficial food components. This paper reviews the state-of-the-art of the three Omics platforms, discusses their implication in nutrigenomics and elaborates on applications in nutrition and health such as digestive health, allergy, diabetes and obesity, nutritional intervention and nutrient bioavailability. Proteomic developments, applications and potential in the field of nutrition have been specifically addressed in another review issued by our group.

Animals↗
PubMed2005

ProGenExpress: visualization of quantitative data on prokaryotic genomes.

BACKGROUND: The integration of genomic information with quantitative experimental data is a key component of systems biology. An increasing number of microbial genomes are being sequenced, leading to an increasing amount of data from post-genomics technologies. The genomes of prokaryotes contain many structures of interest, such as operons, pathogenicity islands and prophage sequences, whose behaviour is of interest during infection and disease. There is a need for simple and novel tools to display and analyse data from these integrated datasets, and we have developed ProGenExpress as a tool for visualising arbitrarily complex numerical data in the context of prokaryotic genomes. RESULTS: Here we describe ProGenExpress, an R package that allows researchers to easily and quickly visualize quantitative measurements, such as those produced by microarray experiments, in the context of the genome organization of sequenced prokaryotes. Data from microarrays, proteomics or other whole-genome technologies can be accurately displayed on the genome. ProGenExpress can also search for novel regions of interest that consist of groups of adjacent genes that show similar patterns across the experimental data set. We demonstrate ProGenExpress with microarray data from a time-course experiment involving Salmonella typhimurium. CONCLUSION: ProGenExpress can be used to visualize quantitative data from complex experiments in the context of the genome of sequenced prokaryotes, and to find novel regions of interest.

Computational Biology↗
PubMed2004

Proteomic analysis of lymph.

This report provides the first proteomic analysis of normal ovine lymph. By establishing the fact that lymph is more than an ultrafiltrate of blood plasma, it documents that the lymph proteome contains an array of proteins that differentiates it from plasma. The protein chip technology, surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS), two-dimensional gel electrophoresis (2-D PAGE) and MS, were employed to examine the protein expression profiles of ovine lymph. Using a weak cation exchange chip surface to assay lymph and plasma samples by SELDI-TOF-MS showed that the analysis of peak maps from lymph contained three protein peaks that were found only in lymph, while analysis of peak maps from plasma samples showed that five protein peaks were found only in plasma. Lymph and plasma samples showed eight peaks that were common to both. There were also more ions present in plasma than in lymph, which is consistent with the 2-D PAGE analysis. MS analysis of a large number of protein spots from 2-D PAGE gels of lymph produced MS/MS sequences for 18 proteins that were identified by searching against a comprehensive protein sequence database. As in plasma, large protein spots of albumin dominated the protein pattern in lymph. Other major proteins identified in 2-D PAGE gels of lymph included, fibrinogen alpha- and beta-chains, immunoglobulin G (IgG) heavy chain, serotransferrin precursor, lactoferrin, and apolipoprotein A-1. Two proteins that were identified and were differentially expressed in lymph were glial fibrillary astrocyte acidic protein and neutrophil cytosol factor-1. By bringing the technologies of proteomics to bear on the analysis of lymph, it is possible to detect proteins in lymph that are quantitatively and qualitatively differentially expressed from those of plasma.

Animals↗
PubMed2004

Mass spectrometry in the characterization of cereal seed proteins.

In less then a decade, applications of matrix-assisted laser desorption/ionisation (MALDI) and electrospray ionisation (ESI) mass spectrometry to the investigation of prolamins have rapidly evolved from measurements of the molecular mass of isolated proteins to a proteomic approach attempting to characterise the complete protein pattern in the seed. Mass spectrometry is currently making significant contributions to the understanding of the composition and structure of the gluten proteins and, in turn, to the elucidation of structure-function relationships. Results obtained using mass spectrometry, including determination of the molecular masses of prolamins, direct verification of gene-derived sequences, determination of the number of cysteine residues and localisation of disulphide bonds, investigation of the gluten toxicity for celiac patients, qualitative and quantitative determination of gliadins in food and determination of the protein pattern and its modification during seed maturation by proteomic approaches, are summarised here, to illustrate current trends and individuate possible future perspectives.

Celiac Disease↗
PubMed2001

Proteome analysis of Helicobacter pylori: major proteins of type strain NCTC 11637.

Proteome analysis involves the simultaneous resolution and display of proteins produced by an organism, followed by the quantitation, characterisation and identification of these proteins. As part of an ongoing study mapping and comparing the proteins expressed by various strains of the pathogenic bacterium Helicobacter pylori, we have resolved and identified 93 of the most abundant proteins expressed by type reference strain NCTC 11637. Proteins were separated by two-dimensional gel electrophoresis and stained with Coomassie G250. Intensely-stained spots were excised and digested with trypsin, and the resulting peptides were characterised by mass spectrometry. Proteins were then identified by correlating actual peptide profiles with theoretical profiles generated from published nucleotide sequences. Ninety-three of the most intensely-stained protein spots were identified as the products of 35 genes, giving a ratio of 2.7 protein gene-products per gene. The products of the tsaA, pfr, ureA and ureB genes were amongst several proteins present in multiple isoforms. Peptide mass fingerprinting data were used to identify probable post-translational protein modifications. These results suggest that H. pylori proteins are subject to a high degree of post-translational modification. Comparative proteomics of H. pylori strains should greatly assist in investigating the pathogenic properties of this bacterium.

Bacterial Proteins↗
PubMed2003

Application of laser capture microdissection in genetic analysis of neuroblastoma and neuroblastoma precursor cells.

Recently developed quantitative and high-throughput technologies that allow automated and rapid screening of the whole genome, transcriptome and proteome have revolutionized the field of cancer genetics. At the same time, new challenges are met, e.g. the need for improved data analysis and standardization of tumor sample handling. Even if these issues are resolved, an 'old' problem in genetic tumor analysis remains, i.e. contamination of tumor samples by stromal and surrounding normal cells. To overcome this obstacle, laser capture microdissection (LCM) has been developed in order to procure the cells of interest from stained tissue sections with retention of morphology. In this review we describe the possible down-stream applications of LCM in the genetic analysis of neuroblastoma (NB). Special focus is given to MYCN copy number determination using real-time quantitative polymerase chain reaction (Q-PCR), analysis of 1p-, 3p- and 11q-deletions using loss of heterozygosity analysis and Q-PCR expression analysis of microdissected normal neuroblast cells and NB cells.

DNA, Neoplasm↗
PubMed2025

The proteogenomic landscape of the human kidney and implications for cardio-kidney-metabolic health.

Nearly one-third of the global population is affected by cardio-kidney-metabolic (CKM) diseases; however, the molecular mechanisms underlying CKM diseases are poorly understood. Here we show that tissue proteomics provide critical insights not captured by tissue gene expression or blood proteomics information by performing whole-genome and RNA sequencing and proteomics analysis of human kidney samples (n = 337), and we generated a publicly available database. Via Bayesian co-localization and Mendelian randomization analyses of kidney protein quantitative trait loci and 36 CKM genome-wide association studies, we prioritized 89 proteins for CKM traits. We prioritized relationships that could underlie the interconnectedness of CKM traits and discovered multiple and targetable mechanisms for CKM diseases, including the potential role of kidney angiopoietin-like protein 3 (ANGPTL3) in serum lipid levels and kidney function as well as the role of charged multivesicular body protein 1A in kidney function and hypertension. Notably, we identify pathways with confluence of evidence from genetic loci, tissue gene expression and protein levels for CKM traits. In summary, our large-scale kidney proteomics study uncovers proteins and targetable mechanisms prioritized for CKM diseases.

Humans↗
PubMed2005

Application of semiquantitative proteomics techniques to the maillard reaction.

Proteomic tools-in particular, mass spectrometry (MS)-have advanced significantly in recent years, and the identification of proteins within complex mixtures is now a routine procedure. Quantitative methods of analysis are less well advanced and continue to develop. These include the use of stable isotope ratio approaches, isotopically labeled peptide standards, and nonlabeling methods. This paper summarizes the use of MS as a proteomics tool to identify and semiquantify proteins and their modified forms by using examples of relevance to the Maillard reaction. Finally, some challenges for the future are presented.

Amino Acid Sequence↗
PubMed2003

Going global: protein expression profiling using shotgun mass spectrometry.

Protein expression profiling, the science of monitoring global sets of proteins produced by any given cell type, tissue or organism, has been invigorated by the introduction of proteomic technologies capable of characterizing large numbers of proteins. This review summarizes recent advances in mass spectrometry-based techniques for high-throughput protein identification and quantitation that are fueling rapid growth in the field. Key publications applying state-of-the-art 'shotgun' methods for investigating the entire protein complement of whole organelles, cells and tissues are highlighted. An overview of current proteomic challenges, particularly in the area of data analysis, and the long-term prospects of protein profiling strategies in basic biomedical research, therapeutics development and clinical discovery is also provided.

Animals↗
PubMed2005

Quantitation of binding, recovery and desalting efficiency of peptides and proteins in solid phase extraction micropipette tips.

Micropipette-tip solid phase extraction (SPE) systems are common in proteomic analyses for desalting and concentrating samples for mass spectrometry, removing interferences, and increasing sensitivity. These systems are inexpensive, disposable, and highly efficient. Here, we show micropipette-tip solid phase extraction is a direct sample preparation method for (14)C-accelerator mass spectrometry (AMS), removing salts or reagent from labeled macromolecules. We compared loading, recovery and desalting efficiency in commercially available SPE micro-tips using (14)C-labeled peptides and proteins, AMS, and alpha spectrometry ion energy loss quantitation. The polypropylene in the tips was nearly (14)C-free and simultaneously provided low-background carrier for AMS. The silica material did not interfere with the analysis. Alpha spectrometry provided an absolute measurement of desalting efficiency.

Equipment and Supplies↗
PubMed2006

Chromatographic alignment of ESI-LC-MS proteomics data sets by ordered bijective interpolated warping.

Mass spectrometry proteomics typically relies upon analyzing outcomes of single analyses; however, comparing raw data across multiple experiments should enhance both peptide/protein identification and quantitation. In the absence of convincing tandem MS identifications, comparing peptide quantities between experiments (or fractions) requires the chromatographic alignment of MS signals. An extension of dynamic time warping (DTW), termed ordered bijective interpolated warping (OBI-Warp), is presented and used to align a variety of electrospray ionization liquid chromatography mass spectrometry (ESI-LC-MS) proteomics data sets. An algorithm to produce a bijective (one-to-one) function from DTW output is coupled with piecewise cubic hermite interpolation to produce a smooth warping function. Data sets were chosen to represent a broad selection of ESI-LC-MS alignment cases. High confidence, overlapping tandem mass spectra are used as standards to optimize and compare alignment parameters. We determine that Pearson's correlation coefficient as a measure of spectra similarity outperforms covariance, dot product, and Euclidean distance in its ability to produce correct alignments with optimal and suboptimal alignment parameters. We demonstrate the importance of penalizing gaps for best alignments. Using optimized parameters, we show that OBI-Warp produces alignments consistent with time standards across these data sets. The source and executables are released under MIT style license at http://obi-warp.sourceforge.net/.

Chromatography, Liquid↗
PubMed2002

Specific modification of mitochondrial protein thiols in response to oxidative stress: a proteomics approach.

Mitochondria play a central role in redox-linked processes in the cell through mechanisms that are thought to involve modification of specific protein thiols, but this has proved difficult to assess. In particular, specific labeling and quantitation of mitochondrial protein cysteine residues have not been achieved due to the lack of reagents available that can be applied to the intact organelle or cell. To overcome these problems we have used a combination of mitochondrial proteomics and targeted labeling of mitochondrial thiols using a novel compound, (4-iodobutyl)triphenylphosphonium (IBTP). This lipophilic cation is accumulated by mitochondria and yields stable thioether adducts in a thiol-specific reaction. The selective uptake into mitochondria, due to the large membrane potential across the inner membrane, and the high pH of the matrix results in specific labeling of mitochondrial protein thiols by IBTP. Individual mitochondrial proteins that changed thiol redox state following oxidative stress could then be identified by their decreased reaction with IBTP and isolated by two-dimensional electrophoresis. We demonstrate the selectivity of IBTP labeling and use it to show that glutathione oxidation and exposure to an S-nitrosothiol or to peroxynitrite cause extensive redox changes to mitochondrial thiol proteins. In conjunction with blue native gel electrophoresis, we used IBTP labeling to demonstrate that thiols are exposed on the matrix faces of respiratory Complexes I, II, and IV. This novel approach enables measurement of the thiol redox state of individual mitochondrial proteins during oxidative stress and cell death. In addition the methodology has the potential to identify novel redox-dependent modulation of mitochondrial proteins.

Animals↗
PubMed2002

Proteome analysis of camptothecin-treated cortical neurons using isotope-coded affinity tags.

Isotope-coded affinity tags (ICATs) were employed to identify and quantitate changes in protein expression between control and camptothecin-treated mouse cortical neurons. Proteins extracted from control cortical neurons and those treated with camptothecin were labeled with the light and heavy isotopic versions of the ICAT reagents, respectively. ICAT-labeled samples were combined, proteolytically digested, and the derivatized peptides isolated using immobilized avidin chromatography. The peptides thus isolated were analyzed by reversed-phase liquid chromatography coupled directly to either a conventional ion-trap mass spectrometer (IT-MS) or a Fourier transform ion cyclotron resonance mass spectrometer (FTICR). While a majority of the peptide identifications were accomplished using IT-MS, FTICR was used to quantitate the relative abundances of the ICAT-labeled peptides taking advantage of its high resolution, sensitivity, and duty cycle. By using this combination of MS technologies we have thus far identified and quantified the expression of greater than 125 proteins from control and camptothecin-treated mouse cortical neurons. While proteins from most functional classes of proteins were identified, a particularly large percentage of the enzymes involved in glycolysis and the tricarboxylic acid cycle were observed.

Animals↗
PubMed1999

Diagnosis of cellular states of microbial organisms using proteomics.

Two-dimensional (2-D) polyacrylamide gel electrophoresis has much to contribute to experimental analysis of the proteomes of microbial organisms, since this method separates most cellular proteins and allows synthesis rates to be determined quantitatively. Databases generated using 2-D gels can grow to be very large from even just a few experiments, since each sample provides the data for a field (or column) in the database for several hundreds to even thousands of records (or rows), each of which represents a single polypeptide species. The value of such databases for generating an encyclopedia of how each of the cell's proteins behave in different conditions (protein phenotypes) has been recognized for some time. The potential exists, however, to glean even more valuable information from such databases. Because the measurements of each protein are made in the context of all other proteins, a comprehensive glimpse of the cell's physiological state is theoretically achievable with each 2-D gel. By examining enough conditions (and 2-D gels), expression patterns of subsets of proteins (proteomic signatures) can be found that correlate with the cell's state. This type of information can provide a unique contribution to proteomic analysis, and should be a major focus of such analyses.

Genome, Bacterial↗
PubMed2006

Detection of redox-based modification in two-dimensional electrophoresis proteomic separations.

Oxidative stress arises when cellular defenses against molecular oxygen and its by-products (reactive oxygen species; ROS) are overcome leading to covalent modification of lipids, DNA, and protein. Redox-based modification of proteins can be conveniently studied by proteomic analysis using two-dimensional electrophoresis (2D SDS-PAGE). Despite some technical shortcomings, this technique allows rapid and quantitative analysis of paired samples, the visualization of discrete protein spots, and provides a robust platform for subsequent analysis and identification of specific proteins. Exposure to oxidative stress introduces a wide range of reversible or irreversible alterations to amino acid side chains. These include carbonylation, glutathionylation, formation of mixed disulphides, effects on disulphide bridge patterns, ubiquitinylation, and racemization. Identification of proteins targeted for specific modification adds a deeper dimension to the dissection of effects of oxidative stress on the proteome with potentially far-reaching implications. This article describes key methodologies now available for identification of redox-based modifications in proteins separated by 2D SDS-PAGE.

Animals↗
PubMed2005

Quantitative detection of phosphoproteins by combination of two-dimensional difference gel electrophoresis and phosphospecific fluorescent staining.

Here we combine a standard two-dimensional difference gel electrophoresis (DIGE) protocol with subsequent post-staining of gels with phosphospecific fluorescent Pro-Q Diamond dye. The combination of these two methods for fluorescence detection of proteins allows quantitative detection of phosphoproteins in 2-DE-gels. We established this protocol within a functional proteomics experiment. Mammary epithelial cells (EpH4) were stimulated in culture by epidermal growth factor (EGF), endosomal fractions prepared after subcellular fractionation and phosphorylated proteins successfully detected on endosomes. For instance, Endo A cytokeratin, known as phosphoprotein and differentiation marker inducible by MAPK signaling, was identified by matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS). With this protocol, all steps of combined proteome and phosphoproteome profiling experiments are significantly simplified and accelerated, taking full advantage of both methods in terms of specificity, sensitivity and accuracy of quantification.

Animals↗
PubMed2004

The Schistosoma mansoni soluble proteome: a comparison across four life-cycle stages.

Differential analysis of immune responses to schistosomes has routinely been performed using complex mixtures of soluble proteins from various life-cycle stages, on the assumption that these differed significantly in composition. Proteomic techniques now allow us to characterise and compare such mixtures. The soluble proteins from cercariae, lung-schistosomula, adult worms and eggs of Schistosoma mansoni were separated by high-resolution two-dimensional electrophoresis and the resulting images analysed using appropriate software. A high degree of quantitative and qualitative similarity in spot pattern was revealed across the life-cycle, greatest between adjacent stages. To initiate mapping of these soluble proteomes, the 40 most abundant spots in each preparation, accounting for 21-46% of the total protein, were subjected to peptide fingerprinting by mass spectrometry. On average 55% of the spots were identified, but overall, these comprised only 32 different protein species. With one exception all proteins originated in the cytosol and 24 of the 32 had previously been pinpointed by virtue of their immunoreactivity, including four of the WHO priority vaccine candidates. The similarity in composition between the four preparations means that they are unlikely to discriminate adequately between immune responses to different life-cycle stages and argues strongly for the need to identify true stage-specific marker proteins. Equally, it is difficult to reconcile the abundance and immunogenicity of such cytosolic proteins with their status as vaccine candidates, as it is unlikely they will be accessible to the immune system in an intact parasite.

Animals↗
PubMedDate not supplied

Characterization of DNA primary sequences by a new similarity/diversity measure based on the partial ordering.

The similarity/diversity measures play a fundamental role in library searching, virtual screening, and quantitative structure-activity relationship/quantitative structure-property relationship modeling as well as in genomics and proteomics. In this paper, a new similarity/diversity measure is proposed as a new approach for the analysis of sequential data, where useful information can be also obtained by the ordering relationships between the sequence elements. This methodology can be applied for evaluating molecular similarity/diversity, using sets of sequential descriptors, and for evaluating the similarity between spectra, sensor arrays, and other sequential data such as DNA and protein sequences. The new proposed distance (weighted standardized Hasse distance) is evaluated between pairs of Hasse matrices derived from the classical partial-ordering rules. It can be naturally standardized, thus allowing the interpretation of these distances as absolute values (e.g., percentage) and deriving simple similarity and correlation indices. A simple example is taken to highlight the behavior of the new similarity/diversity measure on DNA sequences taken from the first exons of the beta-globins for eight different species. Sensitivity analysis has been also performed, showing the high capability of this measure to take into account small modifications of the DNA sequences. Finally, a comparison with results obtained from the literature is given, together with a comparison with matrix invariants derived from the Hasse matrix.

Base Sequence↗