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Results for “proteome mapping”

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At least 775 records · Page 43Linked to original sources
PubMed2005

Proteomic characterization of human normal articular chondrocytes: a novel tool for the study of osteoarthritis and other rheumatic diseases.

Articular cartilage is composed of cells and an extracellular matrix. The chondrocyte is the only cell type present in mature cartilage, and it is important in the control of cartilage integrity. There is currently a great lack of knowledge about the chondrocyte proteome. To solve this deficiency, we have obtained the first reference map of the human normal articular chondrocyte. Cells were isolated from cartilages obtained from autopsies without history of joint disease. Cultured cells were used to obtain protein extracts which were resolved by 2-DE and visualized by silver nitrate or CBB staining. Almost 200 spots were excised from the gels and analyzed using MALDI-TOF or MALDI-TOF/TOF MS. The analysis leads to the identification of 136 spots that represent 93 different proteins. A significant proportion of proteins are involved in cell organization (26%), energy (16%), protein fate (14%), metabolism (12%), and cell stress (12%). From all the identified proteins, annexins, vimentin, transgelin, destrin, cathepsin D, heat shock protein 47, and mitochondrial superoxide dismutase were more abundant in chondrocytes than in other types of mesenchymal cells such as Jurkat-T cells. As metabolic program of chondrocytes is altered in osteoarthritis and other rheumatic diseases, this proteomic map is an important tool for future studies on these pathologies.

Adolescent↗
PubMed2002

Preliminary analysis of the mouse cerebellum proteome.

This paper reports on the initial analysis of protein expression in the mouse cerebellum with the proteomics approach. Proteins from cerebellar tissue homogenates were separated by two-dimensional gel electrophoresis, and the proteins were stained with colloidal Coomassie Blue to produce a high-resolution map of the cerebellum proteome. Selected proteins from this map were digested with trypsin, and the resulting tryptic peptides were analyzed by matrix-assisted laser desorption/ionization mass spectrometry and liquid chromatography-electrospray quadrupole ion trap mass spectrometry. The mass spectrometric data were used to identify the proteins through searches of the SWISSPROT protein sequence database. To date, 30 prominent proteins with various functional characteristics were identified. These data will be used for future studies of differential protein expression in mouse models of neurological disorders.

Animals↗
PubMed2002

Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners.

MOTIVATION: Accurate prediction of protein contact maps is an important step in computational structural proteomics. Because contact maps provide a translation and rotation invariant topological representation of a protein, they can be used as a fundamental intermediary step in protein structure prediction. RESULTS: We develop a new set of flexible machine learning architectures for the prediction of contact maps, as well as other information processing and pattern recognition tasks. The architectures can be viewed as recurrent neural network implemantations of a class of Bayesian networks we call generalized input-output HMMs (GIOHMMs). For the specific case of contact maps, contextual information is propagated laterally through four hidden planes, one for each cardinal corner. We show that these architectures can be trained from examples and yield contact map predictors that outperform previously reported methods. While several extensions and improvements are in progress, the current version can accurately predict 60.5% of contacts at a distance cutoff of 8 A and 45% of distant contacts at 10 A, for proteins of length up to 300.

Algorithms↗
PubMed2002

Target validation and drug discovery using genomic and protein-protein interaction technologies.

After the successful completion of the human genome project, mapping of the human proteome has become the next important challenge facing the biotech and pharmaceutical industries. Identification of the 'right' target(s) is now a critical part of the process because of the cost of drug discovery. Compounding this situation is the fact that the pharmaceutical industry faces a further challenge of being able to sustain current and historical growth rates. Hence, the discovery of new drug targets is important for developing new drug leads that can become preclinical drug candidates. Proteomics is the next phase of the effort whereby the human genome can be understood. However, mapping the human proteome presents a daunting challenge. Proteomics involves several essential components with the most significant being the discovery and description of all protein-protein interactions. Once this compendium is available, a secondary and equally important initiative will be to decipher proteins that are differentially expressed in any given disease condition. At this point, the critical focus will be to select the most relevant proteins, understand their partner interactions and then further winnow them to the point where they are relevant pharmaceutical target candidates. This paradigm can be compared to finding the relevant 'needle in the proteome haystack'. This review describes the use of genomic and protein-protein interaction technologies to identify and validate these 'needles' as the first step in the drug discovery process.

Animals↗
PubMed2005

Human Plasma PeptideAtlas.

Peptide identifications of high probability from 28 LC-MS/MS human serum and plasma experiments from eight different laboratories, carried out in the context of the HUPO Plasma Proteome Project, were combined and mapped to the EnsEMBL human genome. The 6929 distinct observed peptides were mapped to approximately 960 different proteins. The resulting compendium of peptides and their associated samples, proteins, and genes is made publicly available as a reference for future research on human plasma.

Blood Proteins↗
PubMed2006

Comparative proteome analysis of Staphylococcus aureus biofilm and planktonic cells and correlation with transcriptome profiling.

Pathogenic staphylococci can form biofilms in which they show a higher resistance to antibiotics and the immune defense system than their planktonic counterparts, which suggests that the cells in a biofilm have an altered metabolic activity. Here, 2-D PAGE was used to identify secreted, cell wall-associated and cytoplasmic proteins expressed in Staphylococcus aureus after 8 and 48 h of growth. The proteins were separated at pH ranges of 4-7 or 6-11. The protein patterns revealed significant differences in 427 protein spots; from these, 258 non-redundant proteins were identified using ESI-MS/MS. Biofilm cells expressed higher levels of proteins associated with cell attachment and peptidoglycan synthesis, and in particular fibrinogen-binding proteins. Enzymes involved in pyruvate and formate metabolism were upregulated. Furthermore, biofilm cells expressed more staphylococcal accessory regulator A protein (SarA), which corroborates the positive effect of SarA on the expression of the intercellular adhesion operon ica and biofilm growth. In contrast, proteins, such as proteases and particularly immunodominant antigen A (IsaA) and staphylococcal secretory antigen (SsaA), were found in lower amounts. The RNA expression profiling largely supports the proteomic data. The results were mapped onto KEGG pathways.

Bacterial Proteins↗
PubMed2000

Proteomics: a link between genomics, genetics and physiology.

Thanks to spectacular advances in the techniques for identifying proteins separated by two-dimensional electrophoresis and in methods for large-scale analysis of proteome variations, proteomics is becoming an essential methodology in various fields of plant biology. In the study of pleiotropic effects of mutants and in the analysis of responses to hormones and to environmental changes, the identification of involved metabolic pathways can be deduced from the function of affected proteins. In molecular quantitative genetics, proteomics can be used to map translated genes and loci controlling their expression, which can be used to identify proteins accounting for the variation of complex phenotypic traits. Linking gene expression to cell metabolism on the one hand and to genetic maps on the other, proteomics is a central tool for functional genomics.

Genomics↗
PubMed2005

The proteome and secretome of human arterial smooth muscle cells.

Smooth muscle cells (SMCs) play a crucial role in cardiovascular disorders. A differential proteomic approach should help to elucidate SMC dysfunctions involved in these diseases. With this goal in mind, we plotted the first 2-dimensional (2-D) maps of the proteome and secretome of human arterial smooth muscle cell (ASMC). Intracellular and secreted proteins were extracted from a primary culture of SMCs obtained from patients undergoing coronary artery bypass surgery (n = 11) and separated by 2-dimensional gel electrophoresis. Silver-stained gels were analyzed using Progenesis software. A high level of between-gel reproducibility was obtained, allowing us to generate two protein patterns specific to the ASMC proteome and secretome, respectively. A total of 121 and 40 distinct intracellular and secreted polypeptide spots, corresponding to 83 and 18 different proteins, respectively, were identified by matrix-assisted laser desorption/ionization mass spectrometry. The 2-D reference maps and database resulting from this study confirm that SMCs are involved in a wide range of biological functions. They could constitute a useful tool for a wide range of investigators involved in vascular biology, allowing them to investigate SMC protein changes associated with cardiovascular disorders or environmental stimuli.

Cells, Cultured↗
PubMed2025

Admixture-mapping analysis reveals genetic determinants of the human plasma proteome.

Protein profiling and genetic findings can be integrated to define the genetic architecture of the circulating proteome in chronic diseases. Most self-identified African American (AA) individuals have both African and European genetic ancestry. Admixture mapping can detect genomic association regions in which causal variants exist with substantial differences in allele frequency or effect sizes between genetic ancestries. We performed admixture mapping of the circulating proteome in 1,989 participants from the Jackson Heart Study (JHS), investigating the relation of local African ancestry within genomic regions with levels of circulating proteins. We conditioned protein-local ancestry association models on variants previously found to be associated with those proteins in genome-wide association studies (GWASs). We replicated findings in 196 AA participants from the Multi-Ethnic Study of Atherosclerosis (MESA). 62 proteins were associated with local African ancestry. 21 of 62 remained statistically significant after conditioning on protein-associated variants observed in previous GWASs. 48 of 54 available protein-local ancestry associations were replicated in the MESA. Proteins associated with local African ancestry included chemokines, factors associated with vascular biology and inflammation, and other biologically interesting proteins. Admixture associations unexplained by previously reported protein-associated variants in conditional analysis suggest the existence of causal variants missed by standard GWAS techniques.

Aged↗
PubMed2005

A reference map of the Arabidopsis thaliana mature pollen proteome.

The male gametophyte (or pollen) plays an obligatory role during sexual reproduction of higher plants. The extremely reduced complexity of this organ renders pollen a valuable experimental system for studying fundamental aspects of plant biology such as cell fate determination, cell-cell interactions, cell polarity, and tip-growth. Here, we present the first reference map of the mature pollen proteome of the dicotyledonous model plant species, Arabidopsis thaliana. Based on two-dimensional gel electrophoresis, matrix-assisted laser desorption/ionization time-of-flight, and electrospray quadrupole time-of-flight mass spectrometry, we reproducibly identified 121 different proteins in 145 individual spots. The presence, subcellular localization, and functional classification of the identified proteins are discussed in relation to the pollen transcriptome and the full protein complement encoded by the nuclear Arabidopsis genome.

Arabidopsis↗
PubMed2003

Establishment of a two-dimensional electrophoresis map for Neospora caninum tachyzoites by proteomics.

Expressed proteins and antigens from Neospora caninum tachyzoites were studied by two-dimensional gel electrophoresis and immunoblot analysis combined with matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Thirty-one spots corresponding to 20 different proteins were identified from N. caninum tachyzoites by peptide mass fingerprinting. Six proteins were identified from a N. caninum database (NTPase, 14-3-3 protein homologue, NcMIC1, NCDG1, NcGRA1 and NcGRA2), and 11 proteins were identified in closely related species using the T. gondii database (HSP70, HSP60, pyruvate kinase, tubulin alpha- and beta-chain, putative protein disulfide isomerase, enolase, actin, fructose-1,6-bisphosphatase, lactate dehydrogenase and glyceradehyde-3-phosphate dehydrogenase). One hundred and two antigen spots were observed using pH 4-7 IPG strips on immunoblot profiles. Among them, 17 spots corresponding to 11 antigenic proteins were identified from a N. caninum protein map. This study involved the construction of in-depth protein maps for N. caninum tachyzoites, which will be of value for studies of its pathogenesis, drug and vaccine development, and phylogenetic studies.

Animals↗
PubMed2005

Signal maps for mass spectrometry-based comparative proteomics.

Mass spectrometry-based proteomic experiments, in combination with liquid chromatography-based separation, can be used to compare complex biological samples across multiple conditions. These comparisons are usually performed on the level of protein lists generated from individual experiments. Unfortunately given the current technologies, these lists typically cover only a small fraction of the total protein content, making global comparisons extremely limited. Recently approaches have been suggested that are built on the comparison of computationally built feature lists instead of protein identifications. Although these approaches promise to capture a bigger spectrum of the proteins present in a complex mixture, their success is strongly dependent on the correctness of the identified features and the aligned retention times of these features across multiple experiments. In this experimental-computational study, we went one step further and performed the comparisons directly on the signal level. First signal maps were constructed that associate the experimental signals across multiple experiments. Then a feature detection algorithm used this integrated information to identify those features that are discriminating or common across multiple experiments. At the core of our approach is a score function that faithfully recognizes mass spectra from similar peptide mixtures and an algorithm that produces an optimal alignment (time warping) of the liquid chromatography experiments on the basis of raw MS signal, making minimal assumptions on the underlying data. We provide experimental evidence that suggests uniqueness and correctness of the resulting signal maps even on low accuracy mass spectrometers. These maps can be used for a variety of proteomic analyses. Here we illustrate the use of signal maps for the discovery of diagnostic biomarkers. An imple-mentation of our algorithm is available on our Web server.

Algorithms↗
PubMed2002

Two-dimensional maps in soft immobilized pH gradient gels: a new approach to the proteome of the Third Millennium.

Same major improvements in proteome analysis of cytosolic and membrane proteins by two-dimensional mapping are here reported. A much improved transfer of proteins from the first to the second dimensional sodium dodecyl sulfate (SDS)-gel is obtained by simply diluting the gel matrix, normally composed of 4%T polyacrylamide in all commercially available Immobiline strips down to as low as 3%T. In the analysis of total lysates of platelets, this augmented transfer has been evaluated as being 2-3 times higher than in standard 4%T gels. A second major improvement, in the case of analysis of membrane protein preparations, has been demonstrated to consist in a delipidation step in a tertiary solvent mixture composed of tri-n-butyl phosphate:acetone:methanol in a 1:12:1 ratio. By adopting this protocol, large amounts of spectrins (240-220 kDa, filamentous proteins of the red blood cell membranes) could be transferred vs. essentially none when delipidation was omitted. The present report also confirms the importance of a reduction and alkylation step of the protein sample prior to all electrophoretic steps, including focusing in the Immobiline gel, as recently reported by Herbert et al.

Acrylic Resins↗
PubMed2004

Comprehensive proteome analysis of ovarian cancers using liquid phase separation, mass mapping and tandem mass spectrometry: a strategy for identification of candidate cancer biomarkers.

A two-dimensional (2-D) liquid phase separation method, liquid isoelectric focusing followed by nonporous reversed-phase high performance liquid chromatography (HPLC), was used to separate proteins from human ovarian epithelial whole cell lysates. HPLC eluent was interfaced on-line to an electrospray ionization (ESI) time of flight (TOF) mass spectrometer to obtain accurate intact protein molecular weights (Mr). 2-D protein expression maps were generated displaying protein isoelectric point (pI) versus intact protein Mr. Resulting 2-D images effectively displayed quantitative differential protein expression in ovarian cancer cells versus non-neoplastic ovarian epithelial cells. Protein peak fractions were collected from the HPLC eluent, enzymatically digested, and analyzed by matrix-assisted laser desorption/ionization (MALDI) TOF-mass spectrometry (MS) peptide mass fingerprinting and by MALDI-quadrupole TOF tandem mass spectrometry peptide sequencing. Interlysate comparisons of differential protein expression between two ovarian adenocarcinoma cell lines, ES2 and MDAH-2774, and ovarian surface epithelial cells was performed. Five pI fractions from each sample were selected for comparative study and over 300 unique proteins were positively identified from the 2-D liquid expression maps using MS, which covered around 60% of proteins detected by on-line ESI-TOF-MS. This represents one of the most comprehensive proteomic analyses of ovarian cancer samples to date. Protein bands with significant up- or down-regulation in one cell line versus another as viewed in the 2-D expression maps were identified. This strategy may prove useful in identifying novel ovarian cancer marker proteins.

Biomarkers, Tumor↗
PubMed2004

[Establishment of 2-dE map of human low differentiation nasopharyngeal carcinoma cell line CNE-2 proteome].

OBJECTIVE: To establish a two-dimensional polyacrylamide gel electrophoresis (2-DE) map of human low differentiation nasopharyngeal carcinoma (NPC) cell line CNE-2 proteome. METHODS: Immobilized pH gradient 2-DE was applied to separate the total proteins of CNE-2 cells, matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS) and database searching were used to indentify proteins. RESULTS: A good 2-DE pattern with high resolution and reproducibility was obtained. Seventy-eight protein spots were incised from sliver staining gel and digested in gel by trypisin. Of them 77 maps of peptide mass fingerprints (PMF) were obtained and 48 proteins were identified. CONCLUSION: A reference 2-DE map of CNE-2 proteome has been established and the data coupled with similar proteome analysis of other NPC cell lines will expand the human nasopharyngeal carcinoma proteome database.

Amino Acid Sequence↗
PubMed2006

Real and imaginary artefacts in proteome analysis via two-dimensional maps.

The present review touches on a long-lasting debate on possible artefacts (i.e. generation of spurious spots, not belonging to the biological sample under analysis) induced by the separation technique (in this case, two-dimensional mapping) per se. It is shown here that some of the biggest offenders, always blamed in the past (at least since 1970, i.e. since the inception of gel-base isoelectric focusing protocols), namely deamidation (of Asn and Gln residues) and carbamylation (due to cyanate produced in urea solution), simply do not occur in properly handled samples and have never indeed been demonstrated in real samples, except when forced in purpose. Conversely, two unexpected major artefacts have been recently shown to plague 2D mapping. One is formation of homo- and hetero-oligomers in samples that have been reduced but not alkylated prior to entering the electric field. The phenomenon is highly aggravated in alkaline pH regions and can lead to an impressive number of spurious spots not existing in the original sample. Thus, alkylation (best if performed with acrylamide or vinylpyridines) is a must for avoiding such spurious spots, as well as sample streaking and smearing in the alkaline gel region, and for maintaining sample integrity. In fact, the other unexpected artefact is desulfuration (beta-elimination) by which, upon prolonged electrophoresis, the sample looses an -SH group fro Cys residues. This loss, in the long run, is accompanied by massive protein degradation due to lysis of a C-N bond along the polypeptide chain. Here too, alkylation of -SH groups of Cys almost completely prevents this noxious degradation phenomenon.

Alkylation↗
PubMed2003

A protein interaction map of Drosophila melanogaster.

Drosophila melanogaster is a proven model system for many aspects of human biology. Here we present a two-hybrid-based protein-interaction map of the fly proteome. A total of 10,623 predicted transcripts were isolated and screened against standard and normalized complementary DNA libraries to produce a draft map of 7048 proteins and 20,405 interactions. A computational method of rating two-hybrid interaction confidence was developed to refine this draft map to a higher confidence map of 4679 proteins and 4780 interactions. Statistical modeling of the network showed two levels of organization: a short-range organization, presumably corresponding to multiprotein complexes, and a more global organization, presumably corresponding to intercomplex connections. The network recapitulated known pathways, extended pathways, and uncovered previously unknown pathway components. This map serves as a starting point for a systems biology modeling of multicellular organisms, including humans.

Animals↗