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PubMed2006

Divergent evolution of a structural proteome: phenomenological models.

We develop models of the divergent evolution of genomes; the elementary object of sequence dynamics is the protein structural domain. To identify patterns of organization that reflect mechanisms of evolution, we consider the individual genomes of many procaryote species, studying the arrangement of protein structural domains in the space of all polypeptide structures. We view the network of structural similarities as a graph, called the organismal Protein Domain Universe Graph (oPDUG); vertices represent types of structural domains and edges represent strong structural similarity. As observed before, each oPDUG is a highly nonrandom graph, as evidenced in the vertex degree distribution, which resembles a Pareto law (which has a power-law asymptotic). To explain this and other peculiar properties of the oPDUGs, we construct an evolving-graph model for the long-timescale evolutionary dynamics of oPDUGs, containing only divergent mechanisms of domain discovery. The model generates degree distributions (resembling Pareto laws) and clustering-coefficient distributions that are characteristic of the oPDUGs. In the infinite-graph limit, we analytically compute the exponent for specific biological parameters, as well as the complete phase diagram of the model, finding two distinct regimes of domain innovation dynamics. Thus, divergent evolutionary dynamics quantitatively explains the nonrandom organization of oPDUGs.

Bacterial Proteins↗
PubMed2002

Two-dimensional electrophoresis of proteins discriminates aphid clones of Sitobion avenae differing in BYDV-PAV transmission.

Aset of 39 F1 Sitobion avenae clones was obtained by selfing a poorly efficient BYDV-PAV vector clone. These clones were genetically typed by 11 microsatellite loci, and tested for BYDV-PAV4 transmission to barley. The 39 clones displayed a continuum in transmission percentages, from 0% to 88% with a significant clone effect. From this set, two highly efficient (HEV) and two poorly efficient (PEV) vectoring clones were more precisely characterized for transmission of two other PAV isolates. The molecular bases of the lower transmissibility of BYDV-PAV4 by PEV clones and of the aphid vectoring properties were investigated respectively by comparing the sequences corresponding to structural proteins (CP and RTD) of BYDV, and by using proteomic analysis of aphids in two dimensional electrophoresis (2-DE) with immobilized pH gradients (IPG) after an improved protein extraction. Four residues specific to BYDV-PAV4 located in the CP sequence (A(24) and L(130)) or in the RTD region (M(334) and S(456)) could be responsible for the lower transmissibility of this isolate by PEV clones. Among a total of 2150 well-resoluted spots scored on S. avenae proteinic pattern, only twelve proteins were qualitatively or quantitatively different between clones. Four out of them discriminated HEV and PEV groups.

Animals↗
PubMed2004

Current chemical tagging strategies for proteome analysis by mass spectrometry.

Proteomics, the analysis of the protein complement of a cell or an organism, has grown rapidly as a subdiscipline of the life sciences. Mass spectrometry (MS) is one of the central detection techniques in proteome analysis, yet it has to rely on prior sample preparation steps that reduce the enormous complexity of the protein mixtures obtained from biological systems. For that reason, a number of so-called tagging (or labeling) strategies have been developed that target specific amino acid residues or post-translational modifications, enabling the enrichment of subfractions via affinity clean-up, resulting in the identification of an ever increasing number of proteins. In addition, the attachment of stable-isotope-labeled tags now allows the relative quantitation of protein levels of two samples, e.g. those representing different cell states, which is of great significance for drug discovery and molecular biology. Finally, tagging schemes also serve to facilitate interpretation of MS/MS spectra, therefore assisting in de novo elucidation of protein sequences and automated database searching. This review summarizes the different application fields for tagging strategies for today's MS-based proteome analysis. Advantages and drawbacks of the numerous strategies that have appeared in the literature in the last years are highlighted, and an outlook on emerging tagging techniques is given.

Amino Acids↗
PubMed2000

Identification of differentially expressed proteins between human hepatoma and normal liver cell lines by two-dimensional electrophoresis and liquid chromatography-ion trap mass spectrometry.

In the previous study, the proteomes of the human hepatoma cell line BEL-7404 and the normal human liver cell line L-02 were separated by high resolution two-dimensional electrophoresis (2-DE). Image analysis revealed that 99 protein spots showed quantitative and qualitative variations that were significant (P < 0.01) and reproducible. Here we report the identification results of some of these protein spots. Protein spots excised from 2-D gels were subjected to in-gel digestion with trypsin, and the resulting peptides were measured by microbore high performance liquid chromatography - ion trap - mass spectrometry (LC-IT-MS) to obtain the tandem mass (MS/MS) spectra. Twelve protein spots were identified with high confidence using SEQUEST with uninterpreted MS/MS raw data. Besides inosine-5'-monophosphate dehydrogenase 2, heat shock 27 kDa protein, calreticulin and calmodulin, whose expression was elevated in hepatoma cells, glutathione-S-transferase P was identified from hepatoma cells in which its level was 18-fold higher compared to human liver cells. Two spots were identified as the homologs of reticulocalbin for the first time in hepatoma cells and their expression increased compared to liver cells. However, tubulin beta-1 chain and natural killer cell enhancing factor B were downregulated in hepatoma cells. A tumor suppressing serpin, maspin precursor, was identified from one spot whose quantity was much higher in the normal liver cell line. More interestingly, epidermal fatty acid-binding protein (E-FABP) and fatty acid-binding protein, adipocyte-type (A-FABP), were detected in liver cells but not in hepatoma cells. The functional implication of the identified proteins was discussed.

Chromatography, Liquid↗
PubMed2004

Expression of cystathionine beta-synthase, pyridoxal kinase, and ES1 protein homolog (mitochondrial precursor) in fetal Down syndrome brain.

Down syndrome (DS) is the most common human chromosomal abnormality caused by an extra copy of chromosome 21 and characterized by somatic anomalies and mental retardation. The phenotype of DS is thought to result from overexpression of genes encoded on chromosome 21. Although several studies reported mRNA levels of genes localized on chromosome 21, mRNA data cannot be simply extrapolated to protein levels. Furthermore, most protein data have been generated using immunochemical methods. In this study we investigated expression of three proteins (cystathionine beta-synthase (CBS), pyridoxal kinase (PDXK), ES1 protein homolog, mitochondrial precursor (ES1)) whose genes are encoded on chromosome 21 in fetal DS (n = 8; mean gestational age of 19.8 +/- 2.0 weeks) and controls (n = 7; mean gestational age of 18.8 +/- 2.2 weeks) brains (cortex) using proteomic technologies. Two-dimensional electrophoresis (2-DE) with subsequent in-gel digestion of spots and matrix-assisted laser desorption ionization (MALDI) spectroscopic identification followed by quantification of spots with specific software was applied. Subsequent quantitative analysis of CBS and PDXK revealed levels comparable between DS and controls. By contrast, ES1 was two-fold elevated (P < 0.01) in fetal DS brain. This protein shows significant homology with the E. coli SCRP-27A/ELBB and zebrafish ES1 protein and contains a potential targeting sequence to mitochondria in its N-terminal region. Based on the assumption that structural similarities reflect functional relationship, it may be speculated that ES1 is serving a basic function in mitochondria. Although no function of the human ES1 protein is known yet, ES1 may be a candidate protein involved in the pathogenesis of the brain deficit in DS.

Basic Helix-Loop-Helix Proteins↗
PubMed2006

A proteomic approach to analysing responses of Arabidopsis thaliana callus cells to clinostat rotation.

Callus cells of Arabidopsis thaliana (cv. Landsberg erecta) were exposed for 8 h to a horizontal clinostat rotation (H, simulated weightlessness), a vertical clinostat rotation (V, clinostat control), or a stationary control (S) growth condition. The amount of glucose and fructose apparently decreased, while starch content increased in the H compared with the V- and S-treated cells. In order to investigate the influences of clinostat rotation on the cellular proteome further, the proteome alterations induced by horizontal and vertical clinostat rotation have been comparatively analysed by high-resolution two-dimensional (2-D) gel electrophoresis and mass spectrometry. Image analysis of silver-stained 2-D gels revealed that 80 protein spots showed quantitative and qualitative variations that were significantly (P <0.01) and reproducibly different between the clinorotated (H or V) and the stationary control samples. Protein spots excised from 2-D gels were analysed by microbe high performance liquid chromatography-ion trap-mass spectrometry (LC-IT-MS) to obtain the tandem mass (MS/MS) spectra. 18 protein spots, which showed significant expression alteration only under the H condition compared with those under V and S conditions, were identified. Of these proteins, seven were involved in stress responses, and four protein spots were identified as key enzymes in carbohydrate metabolism and lipid biosynthesis. Two reversibly glycosylated cell wall proteins were down-regulated in the H samples. Other proteins such as protein disulphide isomerase, transcription initiation factor IIF, and two ribosomal proteins also exhibited altered expression under the H condition. The data presented in this study illustrate that clinostat rotation of Arabidopsis callus cells has a significant impact on the expression of proteins involved in general stress responses, metabolic pathways, gene activation/transcription, protein synthesis, and cell wall biosynthesis.

Arabidopsis↗
PubMed2004

A rational approach for discovering and validating cancer markers in very small samples using mass spectrometry and ELISA microarrays.

Identifying useful markers of cancer can be problematic due to limited amounts of sample. Some samples such as nipple aspirate fluid (NAF) or early-stage tumors are inherently small. Other samples such as serum are collected in larger volumes but archives of these samples are very valuable and only small amounts of each sample may be available for a single study. Also, given the diverse nature of cancer and the inherent variability in individual protein levels, it seems likely that the best approach to screen for cancer will be to determine the profile of a battery of proteins. As a result, a major challenge in identifying protein markers of disease is the ability to screen many proteins using very small amounts of sample. In this review, we outline some technological advances in proteomics that greatly advance this capability. Specifically, we propose a strategy for identifying markers of breast cancer in NAF that utilizes mass spectrometry (MS) to simultaneously screen hundreds or thousands of proteins in each sample. The best potential markers identified by the MS analysis can then be extensively characterized using an ELISA microarray assay. Because the microarray analysis is quantitative and large numbers of samples can be efficiently analyzed, this approach offers the ability to rapidly assess a battery of selected proteins in a manner that is directly relevant to traditional clinical assays.

Bacterial Proteins↗
PubMed2006

Proteomic studies support the use of multi-product immunoassays to monitor host cell protein impurities.

In the biopharmaceutical industry, recombinant protein drugs are commonly produced in Chinese hamster ovary (CHO) cells. During the development process, removal of CHO cell-derived proteins from the biopharmaceutical product is monitored using multi-product immunoassays. Such immunoassays are developed by raising antibodies to a single CHO cell protein preparation. However, these assays are utilized to monitor CHO cell protein impurities during the recovery of products from different CHO cell lines. To address whether underlying differences between CHO cell lines result in sufficient protein expression changes to exclude the suitability of multi-product immunoassays, a comparative proteomics study of three independently generated CHO cell lines was performed. Statistical analysis of over 1000 proteins resolved by 2-D PAGE demonstrated that the protein expression profiles of three different CHO cell lines exhibit very few differences in protein expression. Only 11 qualitative changes in protein expression and 26 quantitative changes greater than two-fold were observed. Identification of protein spots by mass spectrometry revealed that many of the observed changes were due to post-translational modifications rather than expression of novel proteins in each cell line. These results suggest that multi-product immunoassays are suitable for monitoring host cell proteins in biopharmaceuticals produced in different CHO cell lines.

Animals↗
PubMed2005

Global transcriptional and proteomic analysis of the Sig1 heat shock regulon of Deinococcus radiodurans.

The sig1 gene, predicted to encode an extracytoplasmic function-type heat shock sigma factor of Deinococcus radiodurans, has been shown to play a central role in the positive regulation of the heat shock operons groESL and dnaKJ. To determine if Sig1 is required for the regulation of additional heat shock genes, we monitored the global transcriptional and proteomic profiles of a D. radiodurans R1 sig1 mutant and wild-type cells in response to elevated temperature stress. Thirty-one gene products were identified that showed heat shock induction in the wild type but not in the sig1 mutant. Quantitative real-time PCR experiments verified the transcriptional requirement of Sig1 for the heat shock induction of the mRNA of five of these genes-dnaK, groES, DR1314, pspA, and hsp20. hsp20 appears to encode a new member of the small heat shock protein superfamily, DR1314 is predicted to encode a hypothetical protein with no recognizable orthologs, and pspA is predicted to encode a protein involved in maintenance of membrane integrity. Deletion mutation analysis demonstrated the importance in heat shock protection of hsp20 and DR1314. The promoters of dnaKJE, groESL, DR1314, pspA, and hsp20 were mapped and, combined with computer-based pattern searches of the upstream regions of the 26 other Sig1 regulon members, these results suggested that Sig1 might recognize both sigma70-type and sigma(W)-type promoter consensus sequences. These results expand the D. radiodurans Sig1 heat shock regulon to include 31 potential new members, including not only factors with cytoplasmic functions, such as groES and dnaK, but also those with extracytoplasmic functions, like pspA.

Bacterial Proteins↗
PubMed2003

Proteome analysis of Saccharomyces cerevisiae under metal stress by two-dimensional differential gel electrophoresis.

The defense mechanism by which cells combat metal stress remains poorly understood. By utilizing a newly developed technique - the differential gel electrophoresis (DIGE) - we evaluated the biological alterations of metal stress on Saccharomyces cerevisiae at its translational level. By simultaneously comparing the differential expression profiles of thousands of proteins as results of 15 different metal treatments, we were able to closely examine the response of a large number of proteins within the yeast proteome towards individual metals, as well as the response of the same proteins towards different metals. This, to our knowledge, is the first case which demonstrates the potential of DIGE as a high-throughput tool for large-scale proteome analysis. From our studies, where yeast cells were exhaustively treated with exogenous metals, 20-30% of all proteins detected showed statistically significant changes. According to different effects (up-/downregulation) of protein expression levels observed, we were able to tentatively divide the 15 metals into three groups. By mass spectrometric analysis, more than 50 protein spots were positively identified, both quantitatively and qualitatively. One of the proteins was identified to be Cu/Zn superoxide dismutase (SOD1), and its expression levels as a result of 15 different metal treatments was further examined in greater details. Significant changes in SOD1 expression were observed throughout all 15 DIGE gels.

Electrophoresis, Gel, Two-Dimensional↗
PubMedDate not supplied

Protein detection methods in proteomics research.

In proteomics research chemical as well as physical methods are used to detect proteins subsequently to their separation. Physical methods are mostly applied after chromatography. They are either based on spectroscopy like light absorption at certain wavelengths or mass determination of peptides and their fragments with mass spectrometry. Chemical methods are used after two-dimensional electrophoresis and employ staining with organic dyes, metal chelates, fluorescent dyes, complexing with silver, or pre-labeling with fluorophores. In some cases autoradiography is still used. Since all of these techniques are very different in terms of sensitivity, their usefulness for quantitative determinations varies significantly. This review will describe the various protein detection methods applied to electrophoresis gels.

Blotting, Western↗
PubMed2005

A hybrid LC-Gel-MS method for proteomics research and its application to protease functional pathway mapping.

Two-dimensional (2D) gel electrophoresis is the most common protein separation method in proteomics research. It can provide high resolution and high sensitivity. However, 2D gel methods have several limitations, such as labor-intensive procedures, poor reproducibility, and limited dynamic range of detection. In fact, many investigators have returned to couple the one-dimensional (1D) SDS-PAGE with mass spectrometry for protein identification. The limitation of this approach is the increased protein complexity in each one-dimensional gel band. To overcome this problem and provide reproducible quantitative information, we describe here a 2D method for protein mixture separation using a combination of high performance liquid chromatography (HPLC) and 1D SDS-PAGE. The study shows that the step-gradient fractionation method we have applied provides excellent reproducibility. In addition, high mass accuracy of LC-FTICR-MS can allow more confident protein identifications by high resolution and ultra-high mass measurement accuracy. This approach was applied to comparative proteomics since protein abundance level changes can be easily visualized with side-by-side vertical comparison in one gel. Furthermore, separation of multi-samples in the same gel significantly reduces run-to-run variation, as is shown with differential image gel electrophoresis (DIGE). Finally, this approach readily incorporates immunological methods to normalize relative abundances of multiple samples within a single gel. This paper presents the results of our developments and our initial application of this strategy for mapping protease function of beta amyloid cleaving enzyme (BACE) in biological systems.

Amyloid Precursor Protein Secretases↗
PubMed2025

Multi-omics Mendelian randomization integrating RNA-seq, eQTL and pQTL data revealed CPXM1 as a potential drug target for osteoporosis.

Osteoporosis, a prevalent skeletal disorder characterized by decreased bone mineral density and increased fracture risk, continues to be a major global health concern. Traditional treatments for osteoporosis have limited efficacy and safety profiles, highlighting the need for novel therapeutic targets. This study integrates multi-omics data, including RNA-seq, expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data, through Mendelian randomization (MR) to identify potential drug targets for osteoporosis. By leveraging bidirectional two-sample MR analysis, we identified CPXM1 (Carboxypeptidase X, M14 family member 1) as a novel gene that is causally linked to osteoporosis risk. Through transcriptomic and proteomic validation, we demonstrate that CPXM1 was upregulated in aged bone tissues and osteoporotic conditions in both human and murine models. Gene set enrichment analysis (GSEA) revealed significant dysregulation of bone homeostasis pathways, including increased extracellular matrix degradation and suppression of osteoblast differentiation in aged mice. Furthermore, phenome-wide association studies (PheWAS) confirmed minimal off-target effects of CPXM1, reinforcing its potential as a therapeutic target. Finally, computational drug repurposing predicted several promising drug candidates, including Doxorubicin, 5-Fluorouracil, and 2-Methylcholine, which may target CPXM1 pathways for osteoporosis treatment. These findings highlight CPXM1 as a potential biomarker and therapeutic target, offering new avenues for osteoporosis therapy.

Osteoporosis↗
PubMed2001

Metabonomic characterization of genetic variations in toxicological and metabolic responses using probabilistic neural networks.

Current emphasis on efficient screening of novel therapeutic agents in toxicological studies has resulted in the evaluation of novel analytical technologies, including genomic (transcriptomic) and proteomic approaches. We have shown that high-resolution 1H NMR spectroscopy of biofluids and tissues coupled with appropriate chemometric analysis can also provide complementary data for use in in vivo toxicological screening of drugs. Metabonomics concerns the quantitative analysis of the dynamic multiparametric metabolic response of living systems to pathophysiological stimuli or genetic modification [Nicholson, J. K., Lindon, J. C., and Holmes, E. (1999) Xenobiotica 11, 1181-1189]. In this study, we have used 1H NMR spectroscopy to characterize the time-related changes in the urinary metabolite profiles of laboratory rats treated with 13 model toxins and drugs which predominantly target liver or kidney. These 1H NMR spectra were data-reduced and subsequently analyzed using a probabilistic neural network (PNN) approach. The methods encompassed a database of 1310 samples, of which 583 comprised a training set for the neural network, with the remaining 727 (independent cases) employed as a test set for validation. Using these techniques, the 13 classes of toxicity, together with the variations associated with strain, were distinguishable to >90%. Analysis of the 1H NMR spectral data by multilayer perceptron networks and principal components analysis gave a similar but less accurate classification than PNN analysis. This study has highlighted the value of probabilistic neural networks in developing accurate NMR-based metabonomic models for the prediction of xenobiotic-induced toxicity in experimental animals and indicates possible future uses in accelerated drug discovery programs. Furthermore, the sensitivity of this tool to strain differences may prove to be useful in investigating the genetic variation of metabolic responses and for assessing the validity of specific animal models.

Animals↗
PubMed2002

Nanosensor for in vivo measurement of the carcinogen benzo[a]pyrene in a single cell.

This work describes the fabrication and the application of an antibody-based fiber-optic nanosensor for in situ measurements of the carcinogen benzo[a]pyrene (BaP) in a single cell. This antibody-based spectroscopic nanosensor is miniaturized enabling the detection of fluorescent analytes in single cells. In addition to measuring fluorescent analytes in single cells, the nanosensor has the potential to be applied for both diagnostic and proteomics purposes. In this work, the human breast carcinoma cell line, MCF-7, was used as the model system to perform BaP measurements in single cells. A standard concentration curve for BaP was established and used to perform quantitative analyses of BaP in individual cells. From these analyses, it was estimated that the concentration of BaP in the individual cells investigated was approximately 3.61 x 10(-10) M. The results obtained demonstrate the application of antibody-based nanosensors for performing in situ measurements inside a single cell.

Antibodies↗
PubMed2007

Proteomic and transcriptomic analyses of differential stress/inflammatory responses in mandibular lymph nodes and oropharyngeal tonsils of European wild boars naturally infected with Mycobacterium bovis.

Differential stress/inflammatory responses were characterized at the mRNA and protein levels in mandibular lymph nodes (MLN) and oropharyngeal tonsils of European wild boars (Sus scrofa), naturally infected with Mycobacterium bovis. Suppression-subtractive hybridization combined with immunohistochemistry and/or quantitative real-time RT-PCR were used to identify and characterize abundant stress/inflammatory gene sequences differentially expressed in tuberculous (TB+) wild boars. Genes identified in MLN and tonsils corresponded to serum amyloid A, arginase I, osteopontin, lysozyme, annexin I, and heat shock proteins, respectively. Global protein patterns in MLN and tonsils were compared between TB+ and nontuberculous (TB-) boars by 2-DE and MALDI-TOF MS. Five proteins, including stress/inflammatory proteins annexin V, serum albumin, and apolipoprotein A1 were found at lower levels in MLN of TB+ boars. Manganese superoxide dismutase was found up-regulated in MLN of TB+ boars. Five proteins, including creatine kinase and MHC class II antigens were found up-regulated in tonsils of TB+ boars. These results demonstrated differential stress/inflammatory responses in wild boars naturally infected with M. bovis and suggest possible markers of tuberculosis in this species that may prove useful for future studies of host-pathogen interactions and for diagnostics and vaccine development.

Amino Acid Sequence↗
PubMed2007

Biomarker assay translation from discovery to clinical studies in cancer drug development: quantification of emerging protein biomarkers.

Many candidate biomarkers emerging from genomics and proteomics research have the potential to serve as predictive indexes for guiding the development of safer and more efficacious drugs. Research and development of biomarker discovery, selection, and clinical qualification, however, is still a relatively new field for the pharmaceutical industry. Advances in technology provide a plethora of analytical tools to discover and analyze mechanism-and-disease-specific biomarkers for drug development. In the discovery phase, differential proteomic analysis using mass spectrometry enables the identification of candidate biomarkers that are associated with a specific mechanism relevant to disease progression and affected by drug treatment. Reliable bioanalytical methods are then developed and implemented to select promising biomarkers for further studies in animals and humans. Quantitative analytical methods capable of generating reliable data constitute a solid basis for statistical assessment of the predictive utility of biomarkers. Biomarker method validation is diverse and for purposes that are very different from those of drug bioanalysis or diagnostic use. Besides being flexible, it should sufficiently demonstrate the method's ability to meet the study intent and the attendant regulatory requirements. Several papers have been published outlining specific requirements for successful biomarker method development and validation using a "Fit-for-Purpose" approach. Many of the challenges faced during biomarker discovery as well as during technology and process translation are discussed in this chapter, including preanalytical planning, assay development, and preclinical and clinical validation. Specific references to protein biomarkers for cancer drug development are also discussed.

Animals↗
PubMed2006

Identification and characterization of PEBP as a calpain substrate.

Calpains are calcium- and thiol-dependent proteases whose dysregulation has been implicated in a number of diseases and conditions such as cardiovascular dysfunction, ischemic stroke, and Alzheimer's disease (AD). While the effects of calpain activity are evident, the precise mechanism(s) by which dysregulated calpain activity results in cellular degeneration are less clear. In order to determine the impact of calpain activity, there is a need to identify the range of specific calpain substrates. Using an in vitro proteomics approach we confirmed that phosphatidylethanolamine-binding protein (PEBP) as a novel in vitro and in situ calpain substrate. We also observed PEBP proteolysis in a model of brain injury in which calpain is clearly activated. In addition, with evidence of calpain dysregulation in AD, we quantitated protein levels of PEBP in postmortem brain samples from the hippocampus of AD and age-matched controls and found that PEBP levels were approximately 20% greater in AD. Finally, with previous evidence that PEBP may act as a serine protease inhibitor, we tested PEBP as an inhibitor of the proteasome and found that PEBP inhibited the chymostrypsin-like activity of the proteasome by approximately 30%. Together these data identify PEBP as a potential in vivo calpain substrate and indicate that increased PEBP levels may contribute to impaired proteasome function.

Aged↗