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Results for “proteome mapping”

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At least 145 records · Page 8Linked to original sources
PubMed2002

Global analysis of the Brucella melitensis proteome: Identification of proteins expressed in laboratory-grown culture.

Brucella melitensis is a facultative intracellular bacterial pathogen that causes brucellosis, a zoonotic disease primarily infecting sheep and goats, characterized by undulant fever, arthritic pain and other neurological disorders in humans. A comprehensive proteomic study of strain 16M was conducted to identify and characterize the proteins expressed in laboratory-grown culture. Using overlapping narrow range immobilized pH gradient strips for two-dimensional gel electrophoresis, 883 protein spots were detected between pH 3.5 and 11. The average isoelectric point and molecular weight values of the detected spots were 5.22 and 46.5 kDa, respectively. Of the 883 observed protein spots, 440 have been identified by matrix-assisted laser desorption/ionization-mass spectrometry. These proteins represent 187 discrete open reading frames (ORFs) or 6% of the predicted 3197 ORFs contained in the genome. The corresponding ORFs of the identified proteins are distributed evenly between each of the two circular B. melitensis chromosomes, indicating that both replicons are functionally active. The presented proteome map lists those protein spots identified to date in this study. This map may serve as a baseline reference for future proteomic studies aimed at the definition of biochemical pathways associated with stress responses, host specificity, pathogenicity and virulence. It will also assist in characterization of global proteomic effects in gene-knockout mutants. Ultimately, it may aid in our overall understanding of the cell biology of B. melitensis, an important bacterial pathogen.

Animals↗
PubMed2002

Subproteomics: identification of plasma membrane proteins from the yeast Saccharomyces cerevisiae.

As a consequence of their poor solubility during isoelectric focusing, integral membrane proteins are generally absent from two-dimensional gel proteome maps. In order to analyze the yeast plasma membrane proteome, a plasma membrane purification protocol was optimized in order to reduce contaminating membranes and cytosolic proteins. Specifically, the new fractionation scheme largely depleted the plasma membrane fraction of cytosolic proteins by deoxycholate stripping and ribosomal proteins by sucrose gradient flotation. The plasma membrane complement was resolved by two-dimensional electrophoresis using the cationic detergent cetyl trimethyl ammonium bromide in the first, and sodium dodecyl sulfate in the second dimension, and fifty spots were identified by matrix-assisted laser desorption/ionization-time of flight mass spectometry. In spite of the presence of still contaminating ribosomal proteins, major proteins corresponded to known plasma membrane residents, the ABC transporters Pdr5p and Snq2p, the P-type H(+)-ATPase Pma1p, the glucose transporter Hxt7p, the seven transmembrane-span Mrh1p, the low affinity Fe(++) transporter Fet4p, the twelve-span Ptr2p, and the plasma membrane anchored casein kinase Yck2p. The four transmembrane-span proteins Sur7p and Nce102p were also present in the isolated plasma membranes, as well as the unknown protein Ygr266wp that probably contains a single transmembrane span. Thus, combining subcellular fractionation with adapted two-dimensional electrophoresis resulted in the identification of intrinsic plasma membrane proteins.

Cell Fractionation↗
PubMed2003

Large-scale protein identification using mass spectrometry.

Recent achievements in genomics have created an infrastructure of biological information. The enormous success of genomics promptly induced a subsequent explosion in proteomics technology, the emerging science for systematic study of proteins in complexes, organelles, and cells. Proteomics is developing powerful technologies to identify proteins, to map proteomes in cells, to quantify the differential expression of proteins under different states, and to study aspects of protein-protein interaction. The dynamic nature of protein expression, protein interactions, and protein modifications requires measurement as a function of time and cellular state. These types of studies require many measurements and thus high throughput protein identification is essential. This review will discuss aspects of mass spectrometry with emphasis on methods and applications for large-scale protein identification, a fundamental tool for proteomics.

Chromatography, Liquid↗
PubMed2004

High-throughput proteomics using antibody microarrays.

Antibody-based microarrays are a novel technology that hold great promise in proteomics. Microarrays can be printed with thousands of recombinant antibodies carrying the desired specificities, the biologic sample (e.g., an entire proteome) and any specifically bound analytes detected. The microarray patterns that are generated can then be converted into proteomic maps, or molecular fingerprints, revealing the composition of the proteome. Using this tool, global proteome analysis and protein expression profiling will thus provide new opportunities for biomarker discovery, drug target identification and disease diagnostics, as well as providing insights into disease biology. Intense work is currently underway to develop this novel technology platform into the high-throughput proteomic tool required by the research community.

Antibodies↗
PubMed2026

Single-organ proteomics in Drosophila melanogaster larva.

The combination of genetic accessibility, organ complexity, evolutionary conservation, and cost-efficiency makes Drosophila melanogaster (Dm) a well-known model system for biomedical and fundamental biological research. Proteomic analysis of single organs enables the identification and quantification of proteins expressed in specific organs. This will help to uncover specific biological functions and unique protein profiles that are not detectable in whole-organism analyses. In this study we have isolated single organs form Dm larvae, and we have performed a deep proteomics mapping by following a minimal manipulation preparation procedure. The combined dataset across all organs comprised 9132 identified proteins. As anticipated, principal component analysis (PCA) revealed clear separation between the proteomes of most organs, confirming distinct protein profiles. These findings demonstrate the applicability of the sample preparation strategy for high-resolution proteomic characterization of individual organs in Drosophila. Given the extensive genetic tools available for this model organism, our approach has the potential to open new avenues for proteomic studies in Drosophila melanogaster and any other biological systems where the sample amount is limiting. SIGNIFICANCE STATEMENT: Drosophila melanogaster is a well-known model system for biomedical and fundamental biological research that serves as a valuable in vivo model organism due to its high degree of evolutionary conservation with higher vertebrates, tractable genetics, and logistical efficiency. However, the proteome of Drosophila at single organ level has been elusive to date, due to several factors like low sensitivity of previous generation mass spectrometers and sample preparation procedures, difficult isolation of some organs. In this study we have applied a compilation of advanced methods including minimal sample manipulation together with simple, straightforward and efficient protein extraction and digestion methods. Obtained peptides were minimally handled to be analyzed by applying specific and sensitive nLC methods coupled on-line to state-of-the-art MS/MS system. Altogether, the applied strategy allowed us to get the first single organ study to date for this animal. These datasets represent a significative resource for future genomic, transcriptomic and proteomic studies in Drosophila, as multi-omic integration requires deep proteomics to translate data into functional biochemistry, and serves as a critical bridge and an indispensable standalone resource across the genomic, transcriptomic, and proteomic landscapes.

Animals↗
PubMed2006

Quantitative characterizations of proteome: dependence on the number of proteins considered.

We consider the sensitivity of numerical characterizations of proteome on the number of proteins considered in the analysis. We examined data on proteomics maps belonging to the liver cells of mice subject to four proliferators. We varied the number of proteins considered for quantitative analysis from 25 up to 1000 proteins. For each case, we have compared the similarity/dissimilarity results when different number of proteins has been considered. We found that proteins maps based on a set of about 300 most abundant proteins spots suffice for satisfactory numerical characterization of corresponding proteome.

Animals↗
PubMed2006

Searching for aging-related proteins in human dermal microvascular endothelial cells treated with anti-aging agents.

Endothelial cells constitute an interface between blood and tissue and act as a medium for active interaction between plasma and the intracellular environment for homeostasis. Aging of endothelial cells plays a significant role in the pathophysiology of age-related vascular diseases; however, precise mechanisms for senescence have not been elucidated. Proteomics allows identification of protein structures, functions, and characteristics, and can be applied to the study of aging processes. Using cultured human dermal microvascular endothelial cells and two-dimensional proteomic mapping, we studied the effects of kinetin, epigallocatechin-3-gallate, all-trans-retinoic acid, and selenium on their senescence and searched for the aging-related proteins. The treatments resulted in 68 qualitative changes and 172 quantitative changes, and we were able to identify 46 spots among them. All of the agents indicated above induced changes in the expression of moesin, rho guanosine-5'-diphosphate-dissociation inhibitor, and actin, confirmed by immunoblotting and confocal laser microscopy. As these proteins were associated with cell cycle and cytoskeleton, immunoblotting of the proteins related to cell cycle was performed. Although practical significance remains to be confirmed by in vivo research, this fundamental discovery may provide a basis for understanding the mechanism of aging and age-related diseases.

Aging↗
PubMed2006

Antibody microarrays: current status and key technological advances.

Antibody-based microarrays are among the novel classes of rapidly evolving proteomic technologies that holds great promise in biomedicine. Miniaturized microarrays (< 1 cm2) can be printed with thousands of individual antibodies carrying the desired specificities, and with biological sample (e.g., an entire proteome) added, virtually any specifically bound analytes can be detected. While consuming only minute amounts (< microL scale) of reagents, ultra- sensitive assays (zeptomol range) can readily be performed in a highly multiplexed manner. The microarray patterns generated can then be transformed into proteomic maps, or detailed molecular fingerprints, revealing the composition of the proteome. Thus, protein expression profiling and global proteome analysis using this tool will offer new opportunities for drug target and biomarker discovery, disease diagnostics, and insights into disease biology. Adopting the antibody microarray technology platform, several biomedical applications, ranging from focused assays to proteome-scale analysis will be rapidly emerging in the coming years. This review will discuss the current status of the antibody microarray technology focusing on recent technological advances and key issues in the process of evolving the methodology into a high-performing proteomic research tool.

Animals↗
PubMed2004

Proteomic approaches in brain research and neuropharmacology.

Numerous applications of genomic technologies have enabled the assembly of unprecedented inventories of genes, expressed in cells under specific physiological and pathophysiological conditions. Complementing the valuable information generated through functional genomics with the integrative knowledge of protein expression and function should enable the development of more efficient diagnostic tools and therapeutic agents. Proteomic analyses are particularly suitable to elucidate posttranslational modifications, expression levels and protein-protein interactions of thousands of proteins at a time. In this review, two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) investigations of brain tissues in neurodegenerative diseases such as Alzheimer's disease, Down syndrome and schizophrenia, and the construction of 2D-PAGE proteome maps of the brain are discussed. The role of the Human Proteome Organization (HUPO) as an international coordinating organization for proteomic efforts, as well as challenges for proteomic technologies and data analysis are also addressed. It is expected that the use of proteomic strategies will have significant impact in neuropharmacology over the coming decade.

Alzheimer Disease↗
PubMed2003

Experimental analysis of the Arabidopsis mitochondrial proteome highlights signaling and regulatory components, provides assessment of targeting prediction programs, and indicates plant-specific mitochondrial proteins.

A novel insight into Arabidopsis mitochondrial function was revealed from a large experimental proteome derived by liquid chromatography-tandem mass spectrometry. Within the experimental set of 416 identified proteins, a significant number of low-abundance proteins involved in DNA synthesis, transcriptional regulation, protein complex assembly, and cellular signaling were discovered. Nearly 20% of the experimentally identified proteins are of unknown function, suggesting a wealth of undiscovered mitochondrial functions in plants. Only approximately half of the experimental set is predicted to be mitochondrial by targeting prediction programs, allowing an assessment of the benefits and limitations of these programs in determining plant mitochondrial proteomes. Maps of putative orthology networks between yeast, human, and Arabidopsis mitochondrial proteomes and the Rickettsia prowazekii proteome provide detailed insights into the divergence of the plant mitochondrial proteome from those of other eukaryotes. These show a clear set of putative cross-species orthologs in the core metabolic functions of mitochondria, whereas considerable diversity exists in many signaling and regulatory functions.

Arabidopsis↗
PubMed2003

Proteomic identification of a large complement of rat urinary proteins.

The characterization of urinary proteins is an important tool to identify disease-related biomarkers and to better understand renal physiology. Expression of urinary proteins has been previously studied by Western blotting and other immunological methods. The scope of such studies, however, is limited to previously identified proteins for which specific antibodies are existed. We used proteomic analysis to identify proteins and to construct a proteome map for Sprague-Dawley (SD) rat urine isolated by ultracentrifugation. Urinary proteins were separated by two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and visualized by silver staining. Proteins were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), followed by peptide mass fingerprinting using the NCBI protein database. A total of 350 protein spots were visualized. From 250 excised spots, 111 protein components were identified including transporters, transport regulators, chaperones, enzymes, signaling proteins, cytoskeletal proteins, pheromone-binding proteins, receptors, and novel gene products. The presence of a number of these identified proteins was unexpected and had not previously been identified in the urine. 2-D Western blot analyses for randomly selected proteins (ezrin, HSP70, beta- and gamma-actin, Rho-GDI, and l-myc) clearly confirmed the proteomic identification. Several potential posttranslational modifications were predicted by bioinformatic analyses. These data indicate that a large complement of expected and unexpected urinary proteins can be simultaneously studied by proteomic analysis. This approach may lead to better understanding of renal physiology and pathophysiology, and to biomarker discovery.

Actins↗
PubMed2002

Proteomic analysis of normal human urinary proteins isolated by acetone precipitation or ultracentrifugation.

BACKGROUND: Proteomic techniques have recently become available for large-scale protein analysis. The utility of these techniques in identification of urinary proteins is poorly defined. We constructed a proteome map of normal human urine as a reference protein database by using two differential fractionated techniques to isolate the proteins. METHODS: Proteins were isolated from urine obtained from normal human volunteers by acetone precipitation or ultracentrifugation, separated by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and identified by matrix-assisted laser desorption ionization-time-of-flight (MALDI-TOF) mass spectrometry followed by peptide mass fingerprinting. RESULTS: A total of 67 protein forms of 47 unique proteins were identified, including transporters, adhesion molecules, complement, chaperones, receptors, enzymes, serpins, cell signaling proteins and matrix proteins. Acetone precipitated more acidic and hydrophilic proteins, whereas ultracentrifugation fractionated more basic, hydrophobic, and membrane proteins. Bioinformatic analysis predicted glycosylation to be the most common explanation for multiple forms of the same protein. CONCLUSIONS: Combining two differential isolation techniques magnified protein identification from human urine. Proteomic analysis of urinary proteins is a promising tool to study renal physiology and pathophysiology and to determine biomarkers of renal disease.

Acetone↗
PubMed2003

Evolving protein interaction networks through gene duplication.

The topology of the proteome map revealed by recent large-scale hybridization methods has shown that the distribution of protein-protein interactions is highly heterogeneous, with many proteins having few edges while a few of them are heavily connected. This particular topology is shared by other cellular networks, such as metabolic pathways, and it has been suggested to be responsible for the high mutational homeostasis displayed by the genome of some organisms. In this paper we explore a recent model of proteome evolution that has been shown to reproduce many of the features displayed by its real counterparts. The model is based on gene duplication plus re-wiring of the newly created genes. The statistical features displayed by the proteome of well-known organisms are reproduced and suggest that the overall topology of the protein maps naturally emerges from the two leading mechanisms considered by the model.

Animals↗
PubMed2006

JVirGel 2.0: computational prediction of proteomes separated via two-dimensional gel electrophoresis under consideration of membrane and secreted proteins.

MOTIVATION: After the publication of JVirGel 1.0 in 2003 we got many requests and suggestions from the proteomics community to further improve the performance of the software and to add additional useful new features. RESULTS: The integration of the PrediSi algorithm for the prediction of signal peptides for the Sec-dependent protein export into JVirGel 2.0 allows the exclusion of most exported preproteins from calculated proteomic maps and provides the basis for the calculation of Sec-based secretomes. A tool for the identification of transmembrane helices carrying proteins (JCaMelix) and the prediction of the corresponding membrane proteome was added. Finally, in order to directly compare experimental and calculated proteome data, a function to overlay and evaluate predicted and experimental two-dimensional gels was included. AVAILABILITY: JVirGel 2.0 is freely available as precompiled package for the installation on Windows or Linux operating systems. Furthermore, there is a completely platform-independent Java version available for download. Additionally, we provide a Java Server Pages based version of JVirGel 2.0 which can be operated in nearly all web browsers. All versions are accessible at http://www.jvirgel.de

Algorithms↗
PubMed2003

On the way to functional genomics.

Proteomics, the global comprehensive analysis of cellular proteins, will contribute to our understanding of gene function in the post-genomic era. The strategies of proteome analysis include the protein expression proteomics dealing with the comparison of cellular or tissue protein levels in the control and affected state (e.g. in the disease) and cell mapping proteomics aimed to define protein-protein interactions that constitute intracellular signalling network. The currently used methods of proteome analysis represent two-dimensional gel electrophoresis for protein separation, the image analysis means for protein maps comparison and the mass spectrometry (MALDI-TOF, MALDI-ESI) and bioinformatics means (sequence databases) for protein identification. For the protein interaction studies the yeast two-hybrid system is mostly employed. New concepts of disease diagnosis and treatment as well as new drugs design can be envisioned from the proteomic analysis.

Genomics↗
PubMedDate not supplied

Studies of quantitative analysis of protein expression in Saccharomyces cerevisiae.

In the present study amino acid analysis is applied to quantitation of Saccharomyces cerevisiae proteome expression. The quantitation levels obtained are compared to data using densitometric analysis of silver or amido black staining and to the theoretical expression level (codon bias) of the identified proteins determined from their amino acid analysis (AAA). The results show that relative volume ratio (%vol) using Melanie II is a better parameter for spot quantitation than relative optical density ratio (%OD), and amino black staining provides good linearity within the range 1-100 pmol protein. However, AAA shows that theoretical expression levels are not well correlated with actual protein expression level, although there is better correlation when isoforms of the expressed protein are identified and included. It is concluded that amino acid analysis provides accurate protein quantitation and has a continuing role in proteome studies in terms of the rapid and inexpensive quantitation of proteins displayed on proteome maps. We do however recognize that in the context of future clinical applications and large-scale proteome discovery projects, quantitation and post-translational modification need to be analyzed by 'proteomatic' (i.e., proteome automatic bioinformatic analysis directly from the gel) techniques.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2005

Stem cell proteomes: a profile of human mesenchymal stem cells derived from umbilical cord blood.

Multipotent mesenchymal stem cells (MSCs) derived from human umbilical cord blood (UCB) represent promising candidates for the development of future strategies in cellular therapy. To create a comprehensive protein expression profile for UCB-MSCs, one UCB unit from a full-term delivery was isolated from the unborn placenta, transferred into culture, and their whole-cell protein fraction was subjected to two-dimensional electrophoresis (2-DE). Unambiguous protein identification was achieved with peptide mass fingerprinting matrix-assisted laser desorption/ionization - time of flight - mass spectrometry (MALDI-TOF-MS), peptide sequencing (MALDI LIFT-TOF/TOF MS), as well as gel-matching with previously identified databases. In overall five replicate 2-DE runs, a total of 2037 +/- 437 protein spots were detected of which 205 were identified representing 145 different proteins and 60 isoforms or post-translational modifications. The identified proteins could be grouped into several functional categories, such as metabolism, folding, cytoskeleton, transcription, signal transduction, protein degradation, detoxification, vesicle/protein transport, cell cycle regulation, apoptosis, and calcium homeostasis. The acquired proteome map of nondifferentiated UCB-MSCs is a useful inventory which facilitates the identification of the normal proteomic pattern as well as its changes due to activated or suppressed pathways of cytosolic signal transduction which occur during proliferation, differentiation, or other experimental conditions.

Databases, Protein↗
PubMed2005

Profiling of abundant proteins associated with dichlorodiphenyltrichloroethane resistance in Drosophila melanogaster.

Dichlorodiphenyltrichloroethane (DDT) metabolism-based resistance in Drosophila melanogaster is a complex metabolic system associated with the transcription of detoxification related genes, ion transport, lipid and sugar metabolism pathways. However, little is known about the differences regarding the proteome of field- and laboratory-selected resistant Drosophila genotypes. We investigated the impact of DDT resistance in the abundant proteome of field- and laboratory- selected resistant Drosophila using a two-dimensional gel electrophoresis DDT reference map. Proteomic profiling was performed in two DDT susceptible genotypes (Canton-S and 91-C) and three DDT resistant lines (Rst(2)DDT(91-R), Rst(2)DDT(Wisconsin) and Rst(2)DDT(Hikone-R)). Protein spots were stained with Coomassie blue and compared using PDQuest software. Selected protein spots were cut out and analyzed using matrix assisted laser desorption-time of flight mass spectrometry. Querying the NCBInr. 10.21.2003 database with mass spectrometric data yielded the identity of 21 differentially translated proteins in Rst(2)DDT(91-R), Rst(2)DDT(Wisconsin) and Canton-S representing proteins putatively involved in biochemical pathways such as glycolysis and gluconeogenesis, the pentose phosphate pathway, the Krebs cycle and fatty acid oxidation. We hypothesize that both strategies are aimed to use of the pentose phosphate pathway to increase glucose utilization while Rst(2)DDT(91-R) relies primarily on glycolysis to produce reduced NADP and increase DDT detoxification. DDT exposure in Canton-S induced six proteins, while four proteins were repressed in Rst(2)DDT(Hikone-R). Our data suggest that insecticide resistance appears to impact different metabolic pathways in Drosophila genotypes selected with the same pesticide (DDT).

Animals↗