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PubMed2003

Comparison of the Escherichia coli proteomes for recombinant human growth hormone producing and nonproducing fermentations.

Two-dimensional electrophoretic analyses of Escherichia coli cells producing recombinant human growth hormone (Nutropin) in fermentations were conducted. The resulting two-dimensional protein profiles were compared with those of nonproducing (blank) cells. A qualitative comparison was performed to address regulatory issues in the biopharmaceutical industry, and a semiquantitative comparison was performed to reveal information about the physiological state of the cells. The protein spots unique to production fermentation profiles were all related to recombinant human growth hormone (hGH); these included intact hGH, charge variants of hGH, and a proteolytically cleaved form of hGH, as expected. There were no E. coli host cell proteins unique to either the production or blank fermentation profiles. Rather, all detectable differences in E. coli proteins were quantitative in nature. Specifically, the levels of IbpA (inclusion body binding protein A), Ivy (inhibitor of vertebrate lysozyme), and a cleaved form of GroEL (Hsp60 homolog) were higher in hGH production profiles, whereas the levels of GlmU protein and PspA (phage shock protein A) were higher in blank profiles. In general, the high degree of similarity between proteomes for hGH-producing and nonproducing cells suggests that E. coli proteins from a nonproducing (blank) fermentation are appropriate for eliciting antibodies that are then used in immunoassays to measure host cell proteins in samples from production fermentations.

Algorithms↗
PubMed2003

Non-invasive methods of diagnosis of endometriosis.

PURPOSE OF REVIEW: Laparoscopy is the gold standard for the diagnosis of endometriosis but the need for visual evidence of the disease is a major stumbling-block for both effective clinical management of affected patients as well as for research into this common and debilitating reproductive disease. Laparoscopy is invasive and often causes a delay in diagnosis and treatment, especially in symptomatic teenagers and young women. Moreover, the visual inspection of the pelvis has major limitations, particularly for the diagnosis of retroperitoneal lesions. It is therefore not surprising that considerable efforts are being made to improve imaging techniques and to evaluate the diagnostic value of potential molecular markers of disease. RECENT FINDINGS: High-resolution transvaginal ultrasonography and, in selected cases, magnetic resonance imaging improve the diagnosis of retroperitoneal pelvic endometriosis as well as the identification of lesions that involve pelvic organs. A variety of serum and endometrial markers are being evaluated for their diagnostic potential, particularly in endometriosis associated infertility. The first gene profiling studies are showing positive results and proteomic technology is being applied to identify novel diagnostic protein expression patterns. SUMMARY: Current imaging techniques, such as transvaginal ultrasonography, are useful to screen the pelvis for the presence of retroperitoneal endometriosis but fail to diagnose peritoneal lesions, small ovarian endometriomas and adhesions. Postgenomic technologies and identification of novel serum and endometrial markers are likely to revolutionize future diagnosis of endometriosis.

Biomarkers↗
PubMed2004

Profiling and comprehensive expression analysis of ABC transporter solute-binding proteins of Bacillus subtilis membrane based on a proteomic approach.

We analyzed ABC transporter solute-binding proteins (SBPs) of the Bacillus subtilis membrane using a proteomic approach. We prepared a washed cell membrane fraction that was insoluble in 134 mM nondetergent sulfobetaine and then extracted proteins using mixtures of detergents in a stepwise manner. The membrane proteins were resolved by three two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) or two one-dimensional (1-D) PAGE procedures, electroblotted, and digested in the presence of 5% or 80% acetonitrile. Thereafter, matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF MS) identified 637 proteins corresponding to 15.9% of the total cellular proteins. We predicted that among these, 256 were membrane proteins, 101 were lipoproteins or secretory proteins and 280 were soluble proteins containing peripheral proteins that function in both the cytoplasm and the cell membrane such as SecA and FtsY. Among the 637 proteins, we identified 30 SBPs among 38 importers predicted by a bioinformatic search of the genome. We confirmed expression of the genes for the 30 SBPs using DNA microarray analysis. We compared the 2-D gel separation profiles of submembrane fractions solubilized by 1% n-dodecyl-beta-D-maltoside from cells cultured on Luria Bertani (LB), S7, and S7 medium without glutamate as well as DNA microarray data on LB and S7. The results suggested that YcdH, YtmK and YurO are binding proteins for Mn(++), glutamate and glucose, respectively, and that YqiX and YxeM are binding proteins for amino acids (tryptophan in S7 medium).

ATP-Binding Cassette Transporters↗
PubMed2006

From glycomics to functional glycomics of sugar chains: Identification of target proteins with functional changes using gene targeting mice and knock down cells of FUT8 as examples.

Comprehensive analyses of proteins from cells and tissues are the most effective means of elucidating the expression patterns of individual disease-related proteins. On the other hand, the simultaneous separation and characterization of proteins by 1-DE or 2-DE followed by MS analysis are one of the fundamental approaches to proteomic analysis. However, these analyses do not permit the complete structural identification of glycans in glycoproteins or their structural characterization. Over half of all known proteins are glycosylated and glycan analyses of glycoproteins are requisite for fundamental proteomics studies. The analysis of glycan structural alterations in glycoproteins is becoming increasingly important in terms of biomarkers, quality control of glycoprotein drugs, and the development of new drugs. However, usual approach such as proteoglycomics, glycoproteomics and glycomics which characterizes and/or identifies sugar chains, provides some structural information, but it does not provide any information of functionality of sugar chains. Therefore, in order to elucidate the function of glycans, functional glycomics which identifies the target glycoproteins and characterizes functional roles of sugar chains represents a promising approach. In this review, we show examples of functional glycomics technique using alpha 1,6 fucosyltransferase gene (Fut8) in order to identify the target glycoprotein(s). This approach is based on glycan profiling by CE/MS and LC/MS followed by proteomic approaches, including 2-DE/1-DE and lectin blot techniques and identification of functional changes of sugar chains.

Animals↗
PubMed2006

Schizophrenia proteomics: biomarkers on the path to laboratory medicine?

Over two million Americans are afflicted with schizophrenia, a debilitating mental health disorder with a unique symptomatic and epidemiological profile. Genomics studies have hinted towards candidate schizophrenia susceptibility chromosomal loci and genes. Modern proteomic tools, particularly mass spectrometry and expression scanning, aim to identify both pathogenic-revealing and diagnostically significant biomarkers. Only a few studies on basic proteomics have been conducted for psychiatric disorders relative to the plethora of cancer specific experiments. One such proteomic utility enables the discovery of proteins and biological marker fingerprinting profiling techniques (SELDI-TOF-MS), and then subjects them to tandem mass spectrometric fragmentation and de novo protein sequencing (MALDI-TOF/TOF-MS) for the accurate identification and characterization of the proteins. Such utilities can explain the pathogenesis of neuro-psychiatric disease, provide more objective testing methods, and further demonstrate a biological basis to mental illness. Although clinical proteomics in schizophrenia have yet to reveal a biomarker with diagnostic specificity, methods that better characterize the disorder using endophenotypes can advance findings. Schizophrenia biomarkers could potentially revolutionize its psychopharmacology, changing it into a more hypothesis and genomic/proteomic-driven science.

Journal Article↗
PubMed2006

Quantitative analysis of 2,3,7,8-tetrachlorodibenzo-p-dioxin-induced proteome alterations in 5L rat hepatoma cells using isotope-coded protein labels.

In an effort to contribute to a better understanding of the hepatic toxicity of the ubiquitous environmental pollutant and hepatocarcinogen 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), a comprehensive quantitative proteome analysis was performed on 5L rat hepatoma cells exposed to 1 nM TCDD for 8 h. Changes in the abundances of individual protein species in TCDD-treated cells as compared to untreated cells were analysed using the nongel-based isotope-coded protein label (ICPL) method [Schmidt, A., Kellermann, J., Lottspeich, F., Proteomics 2005, 5, 4-15]. 89 proteins were identified as up- or down-regulated by TCDD. For the majority of the altered proteins, an impact of TCDD on their abundance had not been known before. Due to the physicochemical properties or the translational regulation of a large number of the affected proteins, their alteration would have escaped detection by gel-based methods for proteome analysis and by standard mRNA expression profiling, respectively. The identified proteins with TCDD-altered abundance include several proteins implicated in cell cycle regulation, growth factor signalling and the control of apoptosis. The results thus provide new starting-points for the investigation of specific aspects of the toxicity and carcinogenicity of dioxin in liver.

Animals↗
PubMed2005

Application of MALDI-TOF mass spectrometry in screening and diagnostic research.

During the last years, mass spectrometry has revolutionised protein biochemistry and has advanced to a superior tool for the identification and detailed analysis of peptides and proteins. The high throughput allowed by some mass spectrometry platforms has enabled the important step from analysis of individual proteins to proteomics. Recently, an additional field of mass spectrometry applications has emerged - namely screening and diagnostic research. In contrast to protein identification, screening applications have to detect analyte molecules of defined molecular weights which can be calculated beforehand, for example by means of chemical structures. Here, the accuracy and sensitivity of mass spectrometry has to be combined with the requirements of high-throughput analyses, in particular speed and automation. These criteria are especially fulfilled by state of the art matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) instruments. The first high throughput screening (HTS) application proved to be genotyping of single nucleotide polymorphisms. The same principle was later applied for several quality control issues, for example for oligonucleotides, peptide or compound libraries. This development has culminated in the screening and profiling of complex biomarker patterns in clinical proteomics to detect a molecular fingerprint for specific diseases in biological samples. Thus, mass spectrometry based methods are expected to enable a very early diagnosis of diseases with minimally invasive methods of investigation. This type of high end screening application has the potential to revolutionise the early diagnosis of many diseases. Here, we give an overview of the application of mass spectrometry in the fields of screening and diagnostic research.

Biomedical Research↗
PubMed2005

Overview of molecular, cellular, and genetic neurotoxicology.

It has become increasingly evident that the field of neurotoxicology is not only rapidly growing but also rapidly evolving, especially over the last 20 years. As the number of drugs and environmental and bacterial/viral agents with potential neurotoxic properties has grown, the need for additional testing has increased. Only recently has the technology advanced to a level that neurotoxicologic studies can be performed without operating in a "black box." Examination of the effects of agents that are suspected of being toxic can occur on the molecular (protein-protein), cellular (biomarkers, neuronal function), and genetic (polymorphisms) level. Together, these areas help to elucidate the potential toxic profiles of unknown (and in some cases, known) agents. The area of proteomics is one of the fastest growing areas in science and particularly applicable to neurotoxicology. Lubec et al, provide a review of the potential and limitations of proteomics. Proteomics focuses on a more comprehensive view of cellular proteins and provides considerably more information about the effects of toxins on the CNS. Proteomics can be classified into three different focuses: post-translational modification, protein-expression profiling, and protein-network mapping. Together, these methods represent a more complete and powerful image of protein modifications following potential toxin exposure. Cellular neurotoxicology involves many cellular processes including alterations in cellular energy homeostasis, ion homeostasis, intracellular signaling function, and neurotransmitter release, uptake, and storage. The greatest hurdle in cellular neurotoxicology has been the discovery of appropriate biomarkers that are reliable, reproducible, and easy to obtain. There are biomarkers of exposure effect, and susceptibility. Finding the appropriate biomarker for a particular toxin is a daunting task. The appropriate biomarker for a particular toxin is a daunting task. The advantage to biomarker/toxin combinations is they can be detected and measured shortly following exposure and before overt neuroanatomic damage or lesions. Intervention at this point, shortly following exposure, may prevent or at least attenuate further damage to the individual. The use of peripheral biomarkers to assess toxin damage in the CNS has numerous advantages: time-course analysis may be performed, ethical concerns with the use of human subjects can partially be avoided, procedures to acquire samples are less invasive, and in general, peripheral studies are easier to perform. Genetic neurotoxicology comprises two focuses--toxin-induced alterations in genetic expression and genetic alterations that affect toxin metabolism, distribution, and clearance. These differences can be beneficial or toxic. Polymorphisms have been shown to result in altered metabolism of certain toxins (paraoxonase and paraoxon). Conversely, it is possible that some polymorphisms may be beneficial and help prevent the formation of a toxic by-product of an exogenous agent (resistance to ozone-induced lung inflammation). It has also become clear that interactions of potential toxins are not straightforward as interactions with DNA, causing mutations. There are numerous agents that cause epigenetic responses (cellular alterations that are not mutagenic or cytotoxic). This finding suggests that many agents that may originally have been thought of as nontoxic should be re-examined for potential "indirect" toxicity. With the advancement of the human genome project and the development of a human genome map, the effects of potential toxins on single or multiple genes can be identified. Although collectively, the field of neurotoxicology has recently come a long way, it still has a long way to go reach its full potential. As technology and methodology advances continue and cooperation with other disciplines such as neuroscience, biochemistry, neurophysiology, and molecular biology is improved, the mechanisms of toxin action will be further elucidated. With this increased understanding will come improved clinical interventions to prevent neuronal damage following exposure to a toxin.

Animals↗
PubMed2006

UniPep--a database for human N-linked glycosites: a resource for biomarker discovery.

There has been considerable recent interest in proteomic analyses of plasma for the purpose of discovering biomarkers. Profiling N-linked glycopeptides is a particularly promising method because the population of N-linked glycosites represents the proteomes of plasma, the cell surface, and secreted proteins at very low redundancy and provides a compelling link between the tissue and plasma proteomes. Here, we describe UniPep http://www.unipep.org--a database of human N-linked glycosites--as a resource for biomarker discovery.

Computational Biology↗
PubMed2003

Discovering potent and selective reversible inhibitors of enzymes in complex proteomes.

To realize the promise of genomics-based therapeutics, new methods are needed to accelerate the discovery of small molecules that selectively modulate protein activity. Toward this end, advances in combinatorial synthesis have provided unprecedented access to large compound libraries of considerable structural complexity and diversity, shifting the bottleneck in drug discovery to the development of efficient screens for protein targets. Screening for reversible enzyme inhibitors typically requires extensive target-specific work, including protein expression and purification, as well as the development of specific substrate assays. Here we report a proteomic method for the discovery of reversible enzyme inhibitors that avoids these steps. We show that competitive profiling of a library of candidate serine hydrolase inhibitors in complex proteomes with activity-based chemical probes identifies nanomolar reversible inhibitors of several enzymes simultaneously, including the endocannabinoid-degrading enzyme fatty acid amide hydrolase (FAAH), triacylglycerol hydrolase (TGH) and an uncharacterized membrane-associated hydrolase that lacks known substrates. The strategy tests inhibitors against numerous enzymes in parallel, assigning both potency and selectivity factors to each agent. In this way, promiscuous inhibitors were readily rejected in favor of equally potent compounds with 500-fold or greater selectivity for their targets.

Amidohydrolases↗
PubMed2001

Metabolic profiling of genetic disorders: a multitissue (1)H nuclear magnetic resonance spectroscopic and pattern recognition study into dystrophic tissue.

A principal problem in understanding the functional genomics of a pathology is the wide-reaching biochemical effects that occur when the expression of a given protein is altered. To complement the information available to bioinformatics through genomic and proteomic approaches, a novel method of providing metabolite profiles for a disease is suggested, using pattern recognition coupled with (1)H NMR spectroscopy. Using this technique the mdx mouse, a model of Duchenne muscular dystrophy (DMD) was examined. Dystrophic tissue had distinct metabolic profiles not only for cardiac and other muscle tissues, but also in the cerebral cortex and cerebellum, where the role of dystrophin is still controversial. These metabolic ratios were expressed crudely as biomarker ratios to demonstrate the effectiveness of the approach at separating dystrophic from control tissue (cardiac (taurine/creatine): mdx = 2.08 +/- 0.04, control 1.55 +/- 0.04, P < 0.005; cortex (phosphocholine/taurine): mdx = 1.28 +/- 0.12, control = 0.83 +/- 0.05, P < 0.01; cerebellum (glutamate/creatine): mdx = 0.49 +/- 0.03, control = 0.34 +/- 0.03, P < 0.01). This technique produced new metabolic biomarkers for following disease progression but also demonstrated that many metabolic pathways are perturbed in dystrophic tissue.

Animals↗
PubMed2003

Changes in bronchoalveolar lavage fluid proteins in sarcoidosis: a proteomics approach.

In sarcoidosis, an inflammatory lung disease, the protein profile of bronchoalveolar lavage fluid (BALF) is altered. To study the BALF protein pattern changes in sarcoidosis, samples from six patients and four healthy individuals were analysed by two-dimensional polyacrylamide gel electrophoresis. A comparison of the protein-spot patterns showed a significantly higher number of protein spots in the pH range 5.5-6.7 in patients compared to controls (472 versus 384). Furthermore, the number of protein spots in the patients were significantly decreased in the acidic pH range 4.5-5.5 (399 versus 518). Measurement of the optical density in the gels showed varying expression levels for several protein spots. Seventeen of the altered protein spots were identified, of which seven have previously not been reported for BALF. Many of these are nonplasma proteins involved in the inflammatory and oxidant-antioxidant processes. In conclusion, the bronchoalveolar lavage fluid protein content is altered in sarcoidosis patients, especially for proteins that are not derived from plasma. The described proteomics approach will in the future be used to asses overall changes in the protein content associated with sarcoidosis and may offer the possibility of identifying disease-specific proteins.

Adult↗
PubMed2003

Using cDNA microarray to assess Parkinson's disease models and the effects of neuroprotective drugs.

The remarkable progress made by molecular biology and molecular genetics during the past decade, and the advent of the novel tools of genomics and proteomics, are expected to reveal differential expression profiles of thousands of genes and proteins involved in the degeneration of dopamine-containing cells in Parkinson's disease and allow more focused treatments according to individual genotypes. Of particular interest is the application of microarrays in drug discovery and design to identify 'fingerprints' as potential candidate targets for drug intervention. The major microarray findings relevant to Parkinson's disease and its neurotoxin-induced animal and cell models will be discussed, with particular reference to the neuroprotective therapeutic potential that could arise from the development of drugs 'a la carte'.

Animals↗
PubMed2006

Proteomic analysis on the alteration of protein expression in the placental villous tissue of early pregnancy loss.

Early pregnancy loss is the most common complication of human reproduction. Given the complexities of early development, it is likely that many mechanisms are involved. Knowledge of differences in protein expression in parallel profiling is essential to understand the comprehensive pathophysiological mechanism underlying early pregnancy loss. To identify proteins with different expression profiles related to early pregnancy loss, we applied a proteomic approach and performed two-dimensional gel electrophoresis (2-DE) on six placental villous tissues from patients with early pregnancy loss and six from normal pregnant women, followed by comparison of the silver-stained 2-DE profiles. It was found that 13 proteins were downregulated and 5 proteins were upregulated significantly (P < 0.05) in early pregnancy loss as determined by spot volume. Among them, 10 downregulated and 2 upregulated spots were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Anomalies of these proteins, including three principal antioxidant enzymes (copper/zinc-superoxide dismutase, peroxiredoxin 3, and thioredoxin-like 1 protein), S100 calcium binding protein, galectin-1, chorionic somatomammotropin hormone 1, transthyretin, fas inhibitory molecule, eukaryotic translation elongation factor, RNA-binding protein, ubiquitin-conjugating enzyme E2N, and proteasome beta-subunit, indicate widespread failure in cell regulations and processes such as antioxidative defense, differentiation, cell proliferation, metabolism, apoptosis, transcription, and proteolysis in early pregnancy loss. This study has identified several proteins that are associated with placentation and early development, shedding a new insight into the proteins that may be potentially involved in the pathophysiological mechanisms underlying early pregnancy loss.

Abortion, Spontaneous↗
PubMed2005

Proteomic analysis of sputum from adults and children with cystic fibrosis and from control subjects.

RATIONALE: Recurrent pulmonary exacerbations are associated with progressive lung disease in cystic fibrosis (CF). Current definitions of an exacerbation, although not precisely defined, include new/worsening symptoms, declining lung function, and/or changing radiologic appearance. Early diagnosis of exacerbations by rapid noninvasive means should expedite therapeutic intervention, thereby minimizing lung damage. OBJECTIVES: To identify biomarkers of lung exacerbation for point-of-care monitoring of CF lung disease progression. METHODS: Saline-induced sputum was collected from adults with CF with an exacerbation and requiring hospitalization (FEV(1) < 60%), a subset of these adults at hospital discharge, children with stable CF and preserved lung function (FEV(1) > 70%), and control subjects (FEV(1) > 80%). Sputum was arrayed by two-dimensional electrophoresis and differentially expressed proteins were identified by proteomic analysis. MEASUREMENTS AND MAIN RESULTS: Sputum profiles from adults with CF with an exacerbation were characterized by extensive proteolytic degradation and influx of inflammation-related proteins, with some adults with CF approaching a "healthy" protein profile after hospitalization. Two children with CF showed profiles and biomarker expression resembling those of adults with an exacerbation. Levels of differentially expressed myeloperoxidase, cleaved alpha(1)-antitrypsin, IgG degradation, interleukin-8, and total protein concentration, together with their correlation to FEV(1), were statistically significant. Statistical correlation analyses indicated that changes in myeloperoxidase expression and IgG degradation were the strongest predictors of FEV(1). CONCLUSIONS: We identified extensive protein degradation and differentially expressed proteins as biomarkers of inflammation relating to pulmonary exacerbations. Prediction of exacerbation onset and more precise evaluation of the extent of resolution with treatment could be achieved by including biomarkers in standard assessment.

Adolescent↗
PubMed2006

Proteomic analysis of ischemia-reperfusion injury upon human liver transplantation reveals the protective role of IQGAP1.

Ischemia-reperfusion injury (IRI) represents a major determinant of liver transplantation. IRI-induced graft dysfunction is related to biliary damage, partly due to a loss of bile canaliculi (BC) integrity associated with a dramatic remodeling of actin cytoskeleton. However, the molecular mechanisms associated with these events remain poorly characterized. Using liver biopsies collected during the early phases of organ procurement (ischemia) and transplantation (reperfusion), we characterized the global patterns of expression and phosphorylation of cytoskeleton-related proteins during hepatic IRI. This targeted functional proteomic approach, which combined protein expression pattern profiling and phosphoprotein enrichment followed by mass spectrometry analysis, allowed us to identify IQGAP1, a Cdc42/Rac1 effector, as a potential regulator of actin cytoskeleton remodeling and maintenance of BC integrity. Cell fractionation and immunohistochemistry revealed that IQGAP1 expression and localization were affected upon IRI and related to actin reorganization. Furthermore using an IRI model in human hepatoma cells, we demonstrated that IQGAP1 silencing decreased the basal level of actin polymerization at BC periphery, reflecting a defect in BC structure coincident with reduced cellular resistance to IRI. In summary, this study uncovered new mechanistic insights into the global regulation of IRI-induced cytoskeleton remodeling and led to the identification of IQGAP1 as a regulator of BC structure. IQGAP1 therefore represents a potential target for the design of new organ preservation strategies to improve transplantation outcome.

Actins↗
PubMed2002

Hierarchical grid transformation for image warping in the analysis of two-dimensional electrophoresis gels.

Two-dimensional electrophoresis is a widely used method for separating a large number of proteins from complex protein mixtures and for revealing differential patterns of protein expressions. In the computer-assisted proteome research, the comparison of protein separation profiles involves several heuristic steps, ranging from protein spot detection to matching of unknown spots. An important prerequisite for efficient protein spot matching is the image warping step, where the geometric relationship between the gel profiles is modeled on the basis of a given set of known corresponding spots, so-called landmarks, and the locations of unknown spots are predicted using the optimized model. Traditionally, polynomial functions together with least squares optimization has been used, even though this approach is known to be incapable of modeling all the complex distortions inherent in electrophoretic data. To satisfy the need of more flexible gel distortion correction, a hierarchical grid transformation method with stochastic optimization is presented. The method provides an adaptive multiresolution model between the gels, and good correction performance in the practical cross-validation tests suggests that automatic warping of gel images could be based on this approach. We believe that the proposed model also has significance in the ultimate comparison of corresponding protein spots since the matching process should benefit from the closeness of the true spot pairs.

Artifacts↗