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At least 937 records · Page 52Linked to original sources
PubMed2005

Comparison of early passage, senescent and hTERT immortalized endothelial cells.

The need for standardized experimental conditions to gain relevant and reproducible results has increased the demand for well characterized continuously growing cell lines that exhibit the characteristics of their normal counterparts. Immortalization of normal human cells by ectopic expression of the catalytic subunit of human telomerase (hTERT) has shown to result in highly differentiated cell lines. However, the influence of the increased telomerase activity on the protein expression profile was not investigated so far. Therefore, we have immortalized human umbilical vein endothelial cells (HUVECs) by hTERT overexpression and compared them to their normal early passage and senescent counterparts. This study, including a proteomic approach, shows that ectopic hTERT expression leads to a stable growing cell line. Although these cells are highly differentiated, the protein expression profile of the cell line is different to that of normal early passage and senescent cells.

Cell Differentiation↗
PubMed2004

Molecular genetic and proteomic analysis of synchronous malignant gliomas.

Described is a patient with concurrent discrete gliomas: a pleomorphic xanthoastrocytoma with anaplastic features and an anaplastic oligoastrocytoma. The distinct and morphologically dissimilar tumors demonstrated similar genetic abnormalities by loss of heterozygosity and comparative genome hybridization. Clonality and proteomic analyses highlighted an independent origin for the two tumors. Proteomic methods may prove useful in cases where the differential diagnosis and pathogenetic origin of tumors are uncertain, as well as more globally for its ability to provide insight into specific expression of proteins that may serve as unique markers of tumorigenesis or as novel targets of therapy.

Brain Neoplasms↗
PubMed2006

Proteomic and bioinformatic characterization of the biogenesis and function of melanosomes.

Melanin, which is responsible for virtually all visible skin, hair, and eye pigmentation in humans, is synthesized, deposited, and distributed in subcellular organelles termed melanosomes. A comprehensive determination of the protein composition of this organelle has been obstructed by the melanin present. Here, we report a novel method of removing melanin that includes in-solution digestion and immobilized metal affinity chromatography (IMAC). Together with in-gel digestion, this method has allowed us to characterize melanosome proteomes at various developmental stages by tandem mass spectrometry. Comparative profiling and functional characterization of the melanosome proteomes identified approximately 1500 proteins in melanosomes of all stages, with approximately 600 in any given stage. These proteins include 16 homologous to mouse coat color genes and many associated with human pigmentary diseases. Approximately 100 proteins shared by melanosomes from pigmented and nonpigmented melanocytes define the essential melanosome proteome. Proteins validated by confirming their intracellular localization include PEDF (pigment-epithelium derived factor) and SLC24A5 (sodium/potassium/calcium exchanger 5, NCKX5). The sharing of proteins between melanosomes and other lysosome-related organelles suggests a common evolutionary origin. This work represents a model for the study of the biogenesis of lysosome-related organelles.

Animals↗
PubMed2006

Comparing calpain- and caspase-3-mediated degradation patterns in traumatic brain injury by differential proteome analysis.

A major theme of TBI (traumatic brain injury) pathology is the over-activation of multiple proteases. We have previously shown that calpain-1 and -2, and caspase-3 simultaneously produced alphaII-spectrin BDPs (breakdown products) following TBI. In the present study, we attempted to identify a comprehensive set of protease substrates (degradome) for calpains and caspase-3. We further hypothesized that the TBI differential proteome is likely to overlap significantly with the calpain- and caspase-3-degradomes. Using a novel HTPI (high throughput immunoblotting) approach and 1000 monoclonal antibodies (PowerBlottrade mark), we compared rat hippocampal lysates from 4 treatment groups: (i) naïve, (ii) TBI (48 h after controlled cortical impact), (iii) in vitro calpain-2 digestion and (iv) in vitro caspase-3 digestion. In total, we identified 54 and 38 proteins that were vulnerable to calpain-2 and caspase-3 proteolysis respectively. In addition, the expression of 48 proteins was down-regulated following TBI, whereas that of only 9 was up-regulated. Among the proteins down-regulated in TBI, 42 of them overlapped with the calpain-2 and/or caspase-3 degradomes, suggesting that they might be proteolytic targets after TBI. We further confirmed several novel TBI-linked proteolytic substrates, including betaII-spectrin, striatin, synaptotagmin-1, synaptojanin-1 and NSF (N-ethylmaleimide-sensitive fusion protein) by traditional immunoblotting. In summary, we demonstrated that HTPI is a novel and powerful method for studying proteolytic pathways in vivo and in vitro.

Animals↗
PubMed2002

The application of 2D gel-based proteomics methods to the study of breast cancer.

The protein complement of breast cells consists of many thousands of proteins. Recent developments in 2D gel electrophoresis technology have made studies requiring the quantitative analysis of a differential proteome, such as comparison between normal and malignant cells or investigation of drug effects on cells, truly feasible. Computer software plays a central part in the comparisons between multiple gels required for such experiments. In addition, software tools allow patterns of coexpression of proteins to be studied, offering potential insights into protein regulation, interactions, and functions, especially when combined with complementary data on gene expression. In this paper, the technology and limitations of 2D gel-based proteomics are reviewed. Techniques for comparing sets of gels at a global level as well as identifying specific protein features that differentiate gels are discussed. Our own experience of studying the breast cell proteome is used to illustrate the difficulties and achievements of differential proteomics.

Breast Neoplasms↗
PubMed2002

Application of reversed phase high performance liquid chromatography for subproteomic analysis of cardiac muscle.

The application of protein separation methodologies, such as reversed phase chromatography, should allow differential separation of the proteome, or at least specific subproteomes, comparable to that achieved by two-dimensional electrophoresis (2-DE). A rapid sequential protein extraction method (termed "IN Sequence") was developed to isolate three distinct subproteomes of cardiac muscle. Two subproteomes, those enriched for the cytoplasmic or myofilament proteins, can be separated by either reversed phase high performance liquid chromatography (RP-HPLC) or 2-DE. Reversed phase HPLC of the myofilament protein enriched extract was optimized for resolution and peak numbers by altering flow rate, gradient rate and the organic modifiers, isopropanol and acetronitrile. The myofilament protein enriched extract from failing swine heart, due to coronary artery ligation (LAD), was compared to the extract from a sham operated animal (SHAM). The HPLC chromatograms of these extracts were similar, but distinctive in many regions. The HPLC fractions, collected within some of these distinct regions of the chromatograms were analyzed using peptide mass fingerprinting - mass spectrometry and immunoblot analysis. Two myofilament proteins, troponin T and myosin heavy chain, were identified and found differentially modified in the SHAM and LAD hearts. Both troponin T and myosin heavy chain are problematic proteins for 2-DE, but yet they were resolved by reversed phase chromatography. Therefore, RP-HPLC can be used in conjunction with 2-DE to enhance protein separation of myofilament protein subproteome.

Actin Cytoskeleton↗
PubMed2005

Nucleolar proteome dynamics.

The nucleolus is a key organelle that coordinates the synthesis and assembly of ribosomal subunits and forms in the nucleus around the repeated ribosomal gene clusters. Because the production of ribosomes is a major metabolic activity, the function of the nucleolus is tightly linked to cell growth and proliferation, and recent data suggest that the nucleolus also plays an important role in cell-cycle regulation, senescence and stress responses. Here, using mass-spectrometry-based organellar proteomics and stable isotope labelling, we perform a quantitative analysis of the proteome of human nucleoli. In vivo fluorescent imaging techniques are directly compared to endogenous protein changes measured by proteomics. We characterize the flux of 489 endogenous nucleolar proteins in response to three different metabolic inhibitors that each affect nucleolar morphology. Proteins that are stably associated, such as RNA polymerase I subunits and small nuclear ribonucleoprotein particle complexes, exit from or accumulate in the nucleolus with similar kinetics, whereas protein components of the large and small ribosomal subunits leave the nucleolus with markedly different kinetics. The data establish a quantitative proteomic approach for the temporal characterization of protein flux through cellular organelles and demonstrate that the nucleolar proteome changes significantly over time in response to changes in cellular growth conditions.

Amino Acid Sequence↗
PubMed2006

Genomics and the irreducible nature of eukaryote cells.

Large-scale comparative genomics in harness with proteomics has substantiated fundamental features of eukaryote cellular evolution. The evolutionary trajectory of modern eukaryotes is distinct from that of prokaryotes. Data from many sources give no direct evidence that eukaryotes evolved by genome fusion between archaea and bacteria. Comparative genomics shows that, under certain ecological settings, sequence loss and cellular simplification are common modes of evolution. Subcellular architecture of eukaryote cells is in part a physical-chemical consequence of molecular crowding; subcellular compartmentation with specialized proteomes is required for the efficient functioning of proteins.

Biological Evolution↗
PubMed2005

Proteome analysis and comparison of Clostridium acetobutylicum ATCC 824 and Spo0A strain variants.

The proteomic profiles of several Clostridium acetobutylicum strains were compared by two-dimensional gel electrophoresis and mass spectroscopy. The proteomic profile of C. acetobutylicum wild type strain ATCC 824 with and without a commonly used control plasmid and with a spo0A overexpression plasmid pMSPOA was compared. A total of 2,081 protein spots were analyzed; 23 proteins were chosen to be identified of which 18 were unique and 5 were proteins located in more than one location. The proteins identified were classified into heat shock stress response, acid and solvent formation, and transcription and translation proteins. Spo0A was identified and its protein expression was confirmed to be absent in the spo0A knockout SKO1 strain as expected, as was the protein Adc, which is known to be regulated by Spo0A. The expression of six proteins was not detected in strain SKO1 indicating these proteins require Spo0A. Spo0A overexpression affected the abundance of proteins involved in glycolysis, translation, heat shock stress response, and energy production. Two features were identified: five of the 23 proteins identified were located in more than one position and clusters of protein spots resembled fingers of a straightened hand. Normally a protein localizes to only one spot on the gel; localization of a protein to more than one spot is indicative of post-translational modifications, suggesting that such modification of proteins may be a more prevalent mechanism in C. acetobutylicum than previously thought. The clusters of protein spots resembling fingers of a straightened hand were in the acidic high molecular weight areas. Two such protein spots were identified as variants of the same protein, GroEL.

Bacterial Proteins↗
PubMed2002

Heterogeneity of genome and proteome content in bacteria, archaea, and eukaryotes.

Our analysis compares bacteria, archaea, and eukaryota with respect to a wide assortment of genome and proteome properties. These properties include ribosomal protein gene distributions, chaperone protein contrasts, major variation of transcription/translation factors, gene encoding pathways of energy metabolism, and predicted protein expression levels. Significant differences within and between the three domains of life include protein lengths, information processing procedures, many metabolic and lipid biosynthesis pathways, cellular controls, and regulatory proteins. Differences among genomes are influenced by lifestyle, habitat, physiology, energy sources, and other factors.

Amino Acids↗
PubMed2002

Comparative analysis of protein interaction networks.

Recent advances in proteomics and computational biology have lead to a flood of protein interaction data and resulting interaction networks (e.g. (Gavin et al., 2002)). Here I first analyse the status and quality of parts lists (genes and proteins), then comparatively assess large-scale protein interaction data (von Mering et al., 2002) and finally try to identify biological meaningful units (e.g. pathways, cellular processes) within interaction networks that are derived from the conservation of gene neighborhood (Snel et al., 2002). Possible extensions of gene neighborhood analysis to eukaryotes (von Mering and Bork, 2002) will be discussed.

Animals↗
PubMedDate not supplied

Analysis of the adenovirus type 5 proteome by liquid chromatography and tandem mass spectrometry methods.

We compared detection sensitivity and protein sequence coverage of the adenovirus type 5 proteome achievable by liquid chromatography and tandem mass spectroscopy (LC/MS/MS) using three sample preparation and clean up methods. Tryptic digestion was performed on either purified viral proteins or whole virus, and followed by shotgun sequencing using tandem mass spectrometry for peptide identification. We used a recombinant adenovirus type 5 as a test system. The methods included separation of adenoviral proteins by reversed-phase high-performance liquid chromatography followed by tryptic digestion and analysis by LC/MS/MS. Alternatively, the purified whole virus was digested with trypsin and the peptides separated either by one-dimensional (reversed-phase) or by two-dimensional (cation exchange and reversed-phase) chromatography and analyzed by tandem mass spectrometry. A total of 11 protein species were identified from 154 peptides. All of the major viral proteins were found. In addition, two minor proteins, the 23 kDa viral protease and the late L1 protein, were identified for the first time by chromatography based assays. The 23 kDa viral protease, present at only 10 copies per virus, and representing 0.2% of the protein content of the virus, was detected by the 2D LC/MS/MS analysis of the whole virus digest from a sample containing only 70 fmols of the protein. This demonstrates the high sensitivity and selectivity of the method. The 2D LC/MS/MS analysis of the whole virus digest was also able to detect all viral proteins with copy numbers at or above 10/virus particle, with broad coverage of the amino acid sequences. Coverage ranged from 2 to 54%, a majority between 20 and 35%, suggesting the possibility of using this analysis to assess the purity of the virus preparations. This broad coverage may also provide a useful approach to identify posttranslational modifications on the structural proteins of the adenovirus.

Adenoviridae↗
PubMed2006

Multivariate statistical tools applied to the characterization of the proteomic profiles of two human lymphoma cell lines by two-dimensional gel electrophoresis.

Mantle cell lymphoma (MCL) cell lines have been difficult to generate, since only few have been described so far and even fewer have been thoroughly characterized. Among them, there is only one cell line, called GRANTA-519, which is well established and universally adopted for most lymphoma studies. We succeeded in establishing a new MCL cell line, called MAVER-1, from a leukemic MCL, and performed a thorough phenotypical, cytogenetical and molecular characterization of the cell line. In the present report, the phenotypic expression of GRANTA-519 and MAVER-1 cell lines has been compared and evaluated by a proteomic approach, exploiting 2-D map analysis. By univariate statistical analysis (Student's t-test, as commonly used in most commercial software packages), most of the protein spots were found to be identical between the two cell lines. Thirty spots were found to be unique for the GRANTA-519, whereas another 11 polypeptides appeared to be expressed only by the MAVER-1 cell line. A number of these spots could be identified by MS. These data were confirmed and expanded by multivariate statistical tools (principal component analysis and soft-independent model of class analogy) that allowed identification of a larger number of differently expressed spots. Multivariate statistical tools have the advantage of reducing the risk of false positives and of identifying spots that are significantly altered in terms of correlated expression rather than absolute expression values. It is thus suggested that, in future work in differential proteomic profiling, both univariate and multivariate statistical tools should be adopted.

Cell Line, Tumor↗
PubMedDate not supplied

Comparative study of [Three] LC-MALDI workflows for the analysis of complex proteomic samples.

Large-scale proteomic analyses frequently rely on high-resolution peptide separation of digested protein mixtures in multiple dimensions to achieve accuracy in sample detection and sensitivity in dynamic range of coverage. This study was undertaken to demonstrate the feasibility of MALDI MS/MS with off-line coupling to HPLC for the analysis of whole cell lysates of wild-type yeast by three different workflows: SCX-RPHPLC-MS/MS, high-pH SAX-RPHPLC-MS/MS and RP (protein)-SCX-RPHPLC-MS/MS. The purpose of these experiments was to demonstrate the effect of a workflow on the end results in terms of the number of proteins detected, the average peptide coverage of proteins, and the number of redundant peptide sequencing attempts. Using 60 microg of yeast lysate, minor differences were seen in the number of proteins detected by each method (800-1200). The most significant differences were observed in redundancy of MS/MS acquisitions.

Cations↗
PubMed2005

Two-dimensional separation of peptides using RP-RP-HPLC system with different pH in first and second separation dimensions.

Two-dimensional high performance liquid chromatography is a useful tool for proteome analysis, providing a greater peak capacity than single-dimensional LC. The most popular 2D-HPLC approach used today for proteomic research combines strong cation exchange and reversed-phase HPLC. We have evaluated an alternative mode for 2D-HPLC of peptides, employing reversed-phase columns in both separation dimensions. The orthogonality of 2D separation was investigated for selected types of RP stationary phases, ion-pairing agents and mobile phase pH. The pH appears to have the most significant impact on the RP-LC separation selectivity; the greatest orthogonality was achieved for the system with C18 columns using pH 10 in the first and pH 2.6 in the second LC dimension. Separation was performed in off-line mode with partial fraction evaporation. The achievable peak capacity in RP-RP-HPLC and overall performance compares favorably to SCX-RP-HPLC and holds promise for proteomic analysis.

Chromatography, High Pressure Liquid↗
PubMed2005

Assessing the precision of high-throughput computational and laboratory approaches for the genome-wide identification of protein subcellular localization in bacteria.

BACKGROUND: Identification of a bacterial protein's subcellular localization (SCL) is important for genome annotation, function prediction and drug or vaccine target identification. Subcellular fractionation techniques combined with recent proteomics technology permits the identification of large numbers of proteins from distinct bacterial compartments. However, the fractionation of a complex structure like the cell into several subcellular compartments is not a trivial task. Contamination from other compartments may occur, and some proteins may reside in multiple localizations. New computational methods have been reported over the past few years that now permit much more accurate, genome-wide analysis of the SCL of protein sequences deduced from genomes. There is a need to compare such computational methods with laboratory proteomics approaches to identify the most effective current approach for genome-wide localization characterization and annotation. RESULTS: In this study, ten subcellular proteome analyses of bacterial compartments were reviewed. PSORTb version 2.0 was used to computationally predict the localization of proteins reported in these publications, and these computational predictions were then compared to the localizations determined by the proteomics study. By using a combined approach, we were able to identify a number of contaminants and proteins with dual localizations, and were able to more accurately identify membrane subproteomes. Our results allowed us to estimate the precision level of laboratory subproteome studies and we show here that, on average, recent high-precision computational methods such as PSORTb now have a lower error rate than laboratory methods. CONCLUSION: We have performed the first focused comparison of genome-wide proteomic and computational methods for subcellular localization identification, and show that computational methods have now attained a level of precision that is exceeding that of high-throughput laboratory approaches. We note that analysis of all cellular fractions collectively is required to effectively provide localization information from laboratory studies, and we propose an overall approach to genome-wide subcellular localization characterization that capitalizes on the complementary nature of current laboratory and computational methods.

Bacterial Proteins↗
PubMed2002

Proteomic analysis of secreted muscle components: search for factors involved in neuromuscular synapse formation.

Denervated but not innervated skeletal muscles secrete polypeptides that are involved in neuromuscular synapse formation. With the aim of identifying such components, metabolically labeled polypeptides in extracts from denervated and innervated muscles were submitted to two-dimensional gel electrophoresis, and the abundance of individual molecular species was compared. Consistent differences between the proteomic maps from the two sources of muscles were seen. Likewise, proteomic maps of polypeptides from organ culture media conditioned by chronically denervated muscles and by control muscles revealed consistent differences, but the abundance of material within individual spots from conditioned media was not sufficient for analysis by mass spectrometry. Since it was not possible to match the patterns from muscle extracts and from conditioned media, it has been established that extract of Sol8 muscle cells was a satisfactory source of material for analysis. From 1,200 spots identified on the proteomic map from Sol8 cells by image analysis, some 140 have been defined by mass spectrometric analysis. In order to identify the components that are shared by secreted molecules from denervated muscles and Sol8 cells, a mixture of extracts from the two sources was co-electrophoresed and a shared proteomic pattern was established by visualization of metabolically labeled spots from the conditioned medium and of silver stained spots from the Sol8 cells. More than 100 spots sharing x/y coordinate localization could be seen on the pattern. Of these, fourteen were among those identified by mass spectrometry. It is concluded that co-electrophoresis of radioactively labeled polypeptides from conditioned media with extracts from Sol8 cells can be used to mark in the proteome of Sol8 cells those polypeptides that are secreted at low abundance by adult muscles. Their higher abundance in Sol8 cells opens the possibility for further scrutiny of spots by mass spectrometry or by microsequencing.

Animals↗