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At least 811 records · Page 45Linked to original sources
PubMed2005

Entamoeba histolytica: construction and applications of subgenomic databases.

Knowledge about the influence of environmental stress such as the action of chemotherapeutic agents on gene expression in Entamoeba histolytica is limited. We plan to use oligonucleotide microarray hybridization to approach these questions. As the basis for our array, sequence data from the genome project carried out by the Institute for Genomic Research (TIGR) and the Sanger Institute were used to annotate parts of the parasite genome. Three subgenomic databases containing enzymes, cytoskeleton genes, and stress genes were compiled with the help of the ExPASy proteomics website and the BLAST servers at the two genome project sites. The known sequences from reference species, mostly human and Escherichia coli, were searched against TIGR and Sanger E. histolytica sequence contigs and the homologs were copied into a Microsoft Access database. In a similar way, two additional databases of cytoskeletal genes and stress genes were generated. Metabolic pathways could be assembled from our enzyme database, but sometimes they were incomplete as is the case for the sterol biosynthesis pathway. The raw databases contained a significant number of duplicate entries which were merged to obtain curated non-redundant databases. This procedure revealed that some E. histolytica genes may have several putative functions. Representative examples such as the case of the delta-aminolevulinate synthase/serine palmitoyltransferase are discussed.

5-Aminolevulinate Synthetase↗
PubMed2006

Characterization of the Drosophila melanogaster ribosomal proteome.

We have combined high-resolution two-dimensional (2-D) gel electrophoresis with mass spectrometry to identifying proteins represented in a 2-D gel database of Drosophila melanogaster ribosomes. First, we purified ribosomes from third instar Drosophila larvae and constructed a high-resolution 2-D gel database containing 58 Coomassie blue stained polypeptides. Next, we carried out preparative 2-D PAGE to isolate some of the polypeptides and characterize them by MALDI-TOF. Using this strategy we identified 52 ribosomal spots in the database, and in each case confirmed their identity by MALDI-TOF/TOF. The database can be used to analyze Minute mutants of Drosophila.

Amino Acid Sequence↗
PubMedDate not supplied

Proteomics. Concepts and perspectives.

Within the last five years the field of proteomics has changed the understanding of molecular biology. Proteins manifest physiological as well as pathophysiological processes in a cell or an organism, and proteomics describes the complete protein inventory in dependence on in vivo parameters. Disease mechanism or drug effects both affect a protein profile and, vice versa, characterising protein profiles reveals information for the understanding of disease and therapy. Analytical methods for proteomics are based on conventional tools for protein characterisation. The technical challenge is the complete coverage of physico-chemical properties for thousands of proteins. Nucleic acids display a relative chemical homogeneity and therefore genomics was considered more promising in the past than proteomics. Further improvements in proteomics technologies will likely change this course with proteomics complementing genomics as a tool to study life sciences.

Animals↗
PubMed2005

System, trends and perspectives of proteomics in dicot plants Part II: Proteomes of the complex developmental stages.

This review is devoted to the proteomes of the complex developmental stages of dicotyledoneous (dicot) plant materials. The two core technologies, two-dimensional gel electrophoresis (2-DGE) and mass spectrometry (MS), independently or in combination with each other, are propelling dicot plant proteomics to new discoveries and functions, with the establishment of tissue-specific and organelle proteomes, mostly in Arabidopsis thaliana and Medicago truncatula, revealing their complexity and specificity. These experimental proteomes have provided a good start towards the establishment of high-density 2-DGE reference maps and peptide mass fingerprint databases, for not only the model dicot plants, A. thaliana and M. truncatula, but also other important dicot plants, which will serve as a basis for proteomes of many other dicot plants and plant materials.

Arabidopsis↗
PubMed2005

Mass spectrometry and database search in the analysis of proteins from the fungus Pleurotus ostreatus.

Tandem mass spectrometry is a method of choice for rapid analysis in proteomics. Identification and characterization of proteins from organisms with sequenced genomes is today a routine procedure as will be identification of proteins from organisms with unsequenced genomes with new developing tools. Here, we report the use of isotopic labeling with electrospray ionisation (ESI)-tandem mass spectrometry for de novo sequencing in combination with database search taking advantage of different programs for identification of fungal proteins. Using this approach we could identify the proteins of interest. Nevertheless, the identification of a novel protein responsible for the conversion of testosterone into androstenedione was still a difficult task, mostly due to the low homology of steroid transforming enzymes, especially those from microorganisms. Protein p27 was identified as the vanillate O-demethylase oxidoreductase, p33 and p36 as two isoenzymes of malate dehydrogenase, and p45 as citrate synthase. By rechecking the sequences using additional programs it could be shown that the protein p36 has a higher local homology to the steroid-transforming enzyme than to the malate dehydrogenase. Therefore, we assume that p36 is a pluripotent enzyme most probably responsible for the 17beta-hydroxysteroid dehydrogenase activity.

17-Hydroxysteroid Dehydrogenases↗
PubMed2003

The Gene Ontology Annotation (GOA) project: implementation of GO in SWISS-PROT, TrEMBL, and InterPro.

Gene Ontology Annotation (GOA) is a project run by the European Bioinformatics Institute (EBI) that aims to provide assignments of terms from the Gene Ontology (GO) resource to gene products in a number of its databases (http://www.ebi.ac.uk/GOA). In the first stage of this project, GO assignments have been applied to a data set representing the complete human proteome by a combination of electronic mappings and manual curation. This vocabulary has also been applied to the nonredundant proteome sets for all other completely sequenced organisms as well as to proteins from a wide range of organisms where the proteome is not yet complete.

Computational Biology↗
PubMed2006

Predicting protein subcellular location by fusing multiple classifiers.

One of the fundamental goals in cell biology and proteomics is to identify the functions of proteins in the context of compartments that organize them in the cellular environment. Knowledge of subcellular locations of proteins can provide key hints for revealing their functions and understanding how they interact with each other in cellular networking. Unfortunately, it is both time-consuming and expensive to determine the localization of an uncharacterized protein in a living cell purely based on experiments. With the avalanche of newly found protein sequences emerging in the post genomic era, we are facing a critical challenge, that is, how to develop an automated method to fast and reliably identify their subcellular locations so as to be able to timely use them for basic research and drug discovery. In view of this, an ensemble classifier was developed by the approach of fusing many basic individual classifiers through a voting system. Each of these basic classifiers was trained in a different dimension of the amphiphilic pseudo amino acid composition (Chou [2005] Bioinformatics 21: 10-19). As a demonstration, predictions were performed with the fusion classifier for proteins among the following 14 localizations: (1) cell wall, (2) centriole, (3) chloroplast, (4) cytoplasm, (5) cytoskeleton, (6) endoplasmic reticulum, (7) extracellular, (8) Golgi apparatus, (9) lysosome, (10) mitochondria, (11) nucleus, (12) peroxisome, (13) plasma membrane, and (14) vacuole. The overall success rates thus obtained via the resubstitution test, jackknife test, and independent dataset test were all significantly higher than those by the existing classifiers. It is anticipated that the novel ensemble classifier may also become a very useful vehicle in classifying other attributes of proteins according to their sequences, such as membrane protein type, enzyme family/sub-family, G-protein coupled receptor (GPCR) type, and structural class, among many others. The fusion ensemble classifier will be available at www.pami.sjtu.edu.cn/people/hbshen.

Amino Acids↗
PubMed2005

Decoding two-dimensional polyacrylamide gel electrophoresis complex maps by autocovariance function: a simplified approach useful for proteomics.

This paper describes a mathematical approach applied for decoding the complex signal of two-dimensional polyacrylamide gel electrophoresis maps of protein mixtures. The method is helpful in extracting analytical information since separation of all the proteins present in the sample is still far from being achieved and co-migrating proteins are generally present in the same spot. The simplified method described is based on the study of the 2-D autocovariance function (2D-ACVF) computed on an experimental digitized map. The first part of the 2D-ACVF allows for the estimation of the number of proteins present in the sample (2D-ACVF computed at the origin) and of the separation performance (mean spot size). Moreover, the 2D-ACVF plot is a powerful tool in identifying order in the spot position, and singling it out from the complex separation pattern. This method was validated on synthetic maps obtained by computer simulation to describe 2-D PAGE real maps and reference maps retrieved from the SWISS-2DPAGE database. The results obtained are discussed by focusing on specific information relevant in proteomics: sample complexity, separation performance, and identification of spot trains related to post-translational modifications.

Analysis of Variance↗
PubMed2002

Directed proteomic analysis of the human nucleolus.

BACKGROUND: The nucleolus is a subnuclear organelle containing the ribosomal RNA gene clusters and ribosome biogenesis factors. Recent studies suggest it may also have roles in RNA transport, RNA modification, and cell cycle regulation. Despite over 150 years of research into nucleoli, many aspects of their structure and function remain uncharacterized. RESULTS: We report a proteomic analysis of human nucleoli. Using a combination of mass spectrometry (MS) and sequence database searches, including online analysis of the draft human genome sequence, 271 proteins were identified. Over 30% of the nucleolar proteins were encoded by novel or uncharacterized genes, while the known proteins included several unexpected factors with no previously known nucleolar functions. MS analysis of nucleoli isolated from HeLa cells in which transcription had been inhibited showed that a subset of proteins was enriched. These data highlight the dynamic nature of the nucleolar proteome and show that proteins can either associate with nucleoli transiently or accumulate only under specific metabolic conditions. CONCLUSIONS: This extensive proteomic analysis shows that nucleoli have a surprisingly large protein complexity. The many novel factors and separate classes of proteins identified support the view that the nucleolus may perform additional functions beyond its known role in ribosome subunit biogenesis. The data also show that the protein composition of nucleoli is not static and can alter significantly in response to the metabolic state of the cell.

Amino Acid Sequence↗
PubMed2002

A contribution to breast cancer cell proteomics: detection of new sequences.

Ductal infiltrating carcinoma (DIC) of the breast is the most common and potentially aggressive form of cancer. Knowledge of proteomic profiles, attained both in vivo and in vitro, is fundamental to acquire as much information as possible on the proteins expressed in these pathologic conditions. We used the breast cancer cell line 8701-BC, established from a primary DIC, with the aim of contributing to the databases on mammary cancer cells, which in turn will be very useful for the identification of differentially expressed proteins in normal and neoplastic cells. Within an analysis window comprising about 1750 discernible spots, we have at present catalogued 84 protein spots. The proteins for which an identity was assigned were identified essentially using gel comparison, N-terminal (Nt) microseqencing and immune detection. Among the protein spots Nt-microsequenced, sixteen corresponded to known proteins, four resulted as modified, relative to matching sequences deposited on databases, and seven were unknown. These modified or novel sequences are thus of potential interest to the knowledge of breast cancer proteomics and its applications.

Breast Neoplasms↗
PubMed2006

Proteome analysis of bell pepper (Capsicum annuum L.) chromoplasts.

We report a comprehensive proteome analysis of chromoplasts from bell pepper (Capsicum annuum L.). The combination of a novel strategy for database-independent detection of proteins from tandem mass spectrometry (MS/MS) data with standard database searches allowed us to identify 151 proteins with a high level of confidence. These include several well-known plastid proteins but also novel proteins that were not previously reported from other plastid proteome studies. The majority of the identified proteins are active in plastid carbohydrate and amino acid metabolism. Among the most abundant individual proteins are capsanthin/capsorubin synthase and fibrillin, which are involved in the synthesis and storage of carotenoids that accumulate to high levels in chromoplasts. The relative abundances of the identified chromoplast proteins differ remarkably compared with their abundances in other plastid types, suggesting a chromoplast-specific metabolic network. Our results provide an overview of the major metabolic pathways active in chromoplasts and extend existing knowledge about prevalent metabolic activities of different plastid types.

Amino Acid Sequence↗
PubMed2005

Evaluation of "shotgun" proteomics for identification of biological threat agents in complex environmental matrixes: experimental simulations.

There is currently a great need for rapid detection and positive identification of biological threat agents, as well as microbial species in general, directly from complex environmental samples. This need is most urgent in the area of homeland security, but also extends into medical, environmental, and agricultural sciences. Mass-spectrometry-based analysis is one of the leading technologies in the field with a diversity of different methodologies for biothreat detection. Over the past few years, "shotgun"proteomics has become one method of choice for the rapid analysis of complex protein mixtures by mass spectrometry. Recently, it was demonstrated that this methodology is capable of distinguishing a target species against a large database of background species from a single-component sample or dual-component mixtures with relatively the same concentration. Here, we examine the potential of shotgun proteomics to analyze a target species in a background of four contaminant species. We tested the capability of a common commercial mass-spectrometry-based shotgun proteomics platform for the detection of the target species (Escherichia coli) at four different concentrations and four different time points of analysis. We also tested the effect of database size on positive identification of the four microbes used in this study by testing a small (13-species) database and a large (261-species) database. The results clearly indicated that this technology could easily identify the target species at 20% in the background mixture at a 60, 120, 180, or 240 min analysis time with the small database. The results also indicated that the target species could easily be identified at 20% or 6% but could not be identified at 0.6% or 0.06% in either a 240 min analysis or a 30 h analysis with the small database. The effects of the large database were severe on the target species where detection above the background at any concentration used in this study was impossible, though the three other microbes used in this study were clearly identified above the background when analyzed with the large database. This study points to the potential application of this technology for biological threat agent detection but highlights many areas of needed research before the technology will be useful in real world samples.

Biological Warfare↗
PubMed2004

A comprehensive approach for establishment of the platform to analyze functions of KIAA proteins II: public release of inaugural version of InGaP database containing gene/protein expression profiles for 127 mouse KIAA genes/proteins.

The inaugural version of the InGaP database (Integrative Gene and Protein expression database; http://www.kazusa.or.jp/ingap/index.html) is a comprehensive database of gene/protein expression profiles of 127 mKIAA genes/proteins related to hypothetical ones obtained in our ongoing cDNA project. Information about each gene/protein consists of cDNA microarray analysis, subcellular localization of the ectopically expressed gene, and experimental data using anti-mKIAA antibody such as Western blotting and immunohistochemical analyses. KIAA cDNAs and their mouse counterparts, mKIAA cDNAs, were mainly isolated from cDNA libraries derived from brain tissues, thus we expect our database to contribute to the field of neuroscience. In fact, cDNA microarray analysis revealed that nearly half of our gene collection is predominantly expressed in brain tissues. Immunohistochemical analysis of the mouse brain provides functional insight into the specific area and/or cell type of the brain. This database will be a resource for the neuroscience community by seamlessly integrating the genomic and proteomic information about the mouse KIAA genes/proteins.

Animals↗
PubMed2003

Analysis of the Arabidopsis nuclear proteome and its response to cold stress.

The nucleus is the subcellular organelle that contains nearly all the genetic information required for the regulated expression of cellular proteins. In this study, we comprehensively characterized the Arabidopsis nuclear proteome. Nuclear proteins were isolated and analyzed using two-dimensional (2D) gel electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Approximately 500-700 spots were detected in reference 2D gels of nuclear proteins. Proteomic analyses led to the identification of 184 spots corresponding to 158 different proteins implicated in a variety of cellular functions. We additionally analyzed the changes in the nuclear proteome in response to cold stress. Of the 184 identified proteins, 54 were up- or downregulated with a greater than twofold change in response to cold treatment. Among these, six proteins were selected for further characterization. Northern analysis data revealed that gene expression of these proteins was also altered by cold stress. Following transient expression in BY-2 protoplasts, two proteins were detected in both the cytoplasm and the nucleus and four others were detected exclusively in the nucleus, which correlates well with the nuclear localization patterns of the proteomic data. Our study provides an initial insight into the Arabidopsis nuclear proteome and its response to cold stress.

Arabidopsis↗
PubMed1997

Make2ddb: a simple package to set up a two-dimensional electrophoresis database for the World Wide Web.

Two-dimensional electrophoresis (2-DE) has become a highly reproducible protein separation technique that currently serves as the main basis for proteome research and in particular for protein identification. Also, the Internet provides large utilities for exchanging data, and we can observe increased interest among scientists to build remote 2-DE databases, since many members of the concerned community are now able to access the data. By preparing the data and programs that are required to create a federated 2-DE database, the Make2ddb package, described here, helps to build such a database on the user own World Wide Web site.

Computer Communication Networks↗
PubMed2006

Comparison of indirect and direct approaches using ion-trap and Fourier transform ion cyclotron resonance mass spectrometry for exploring viperid venom proteomes.

In a sense, the field of snake venom proteomics has been under investigation since the very earliest biochemical studies where it was soon recognized that venoms are comprised of complex mixtures of bioactive molecules, most of which are proteins. Only with the re-emergence of 2D polyacrylamide gel electrophoresis (2D PAGE) and the recent developments in mass spectrometry for the identification/characterization of proteins coupled with venom gland transcriptomes has the field of snake venom proteomics began to flourish and provide exciting insights into the protein composition of venoms and subsequently their pathological activities. In this manuscript we will briefly discuss the state of snake venom proteomics followed by the presentation of several straightforward experiments designed to explore approaches to investigating venom proteomics. The first set of experiments used 1D gel electrophoresis (1D PAGE) of Crotalus atrox venom followed by slice-by-slice analysis of the proteins using liquid chromatography/mass spectrometry/mass spectrometry (LC/MS/MS). In the second set of experiments, C. atrox and Bothrops jararaca venoms were subjected to in-solution digestion followed by Fourier transform ion cyclotron resonance (FTICR) LC/MS/MS. The peptide ion-maps of these venoms were compared along with the proteins identified. In addition, the results were compared to the results observed from the 1D PAGE approach. From these studies it is clear that sample de-complexation/fractionation before mass spectrometry is still the best approach for maximum proteome coverage. Furthermore, comparison of venom proteomes based on tryptic peptide identities between the proteomes is not particularly effective since there does not appear to be a sufficient number of such identical peptides, derived from related proteins, present in venoms. Finally, as has previously been recognized without either better databases of venom protein sequences or facile and rapid de novo sequencing technologies for mass spectrometry, snake venom proteome investigation will remain a laborious task.

Animals↗
PubMed2000

The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000.

SWISS-PROT is a curated protein sequence database which strives to provide a high level of annotation (such as the description of the function of a protein, its domains structure, post-translational modifications, variants, etc.), a minimal level of redundancy and high level of integration with other databases. Recent developments of the database include format and content enhancements, cross-references to additional databases, new documentation files and improvements to TrEMBL, a computer-annotated supplement to SWISS-PROT. TrEMBL consists of entries in SWISS-PROT-like format derived from the translation of all coding sequences (CDSs) in the EMBL Nucleotide Sequence Database, except the CDSs already included in SWISS-PROT. We also describe the Human Proteomics Initiative (HPI), a major project to annotate all known human sequences according to the quality standards of SWISS-PROT. SWISS-PROT is available at: http://www.expasy.ch/sprot/ and http://www.ebi.ac.uk/swissprot/

Animals↗
PubMed2002

Characterisation of global protein expression by two-dimensional electrophoresis and mass spectrometry: proteomics of Toxoplasma gondii.

The development of tools for the analysis of global gene expression is vital for the optimal exploitation of the data on parasite genomes that are now being generated in abundance. Recent advances in two-dimensional electrophoresis (2-DE), mass spectrometry and bioinformatics have greatly enhanced the possibilities for mapping and characterisation of protein populations. We have employed these developments in a proteomics approach for the analysis of proteins expressed in the tachyzoite stage of Toxoplasma gondii. Over 1000 polypeptides were reproducibly separated by high-resolution 2-DE using the pH ranges 4-7 and 6-11. Further separations using narrow range gels suggest that at least 3000-4000 polypeptides should be resolvable by 2-DE using multiple single pH unit gels. Mass spectrometry was used to characterise a variety of protein spots on the 2-DE gels. Peptide mass fingerprints, acquired by matrix-assisted laser desorption/ionisation-(MALDI) mass spectrometry, enabled unambiguous protein identifications to be made where full gene sequence information was available. However, interpretation of peptide mass fingerprint data using the T. gondii expressed sequence tag (EST) database was less reliable. Peptide fragmentation data, acquired by post-source decay mass spectrometry, proved a more successful strategy for the putative identification of proteins using the T. gondii EST database and protein databases from other organisms. In some instances, several protein spots appeared to be encoded by the same gene, indicating that post-translational modification and/or alternative splicing events may be a common feature of functional gene expression in T. gondii. The data demonstrate that proteomic analyses are now viable for T. gondii and other protozoa for which there are good EST databases, even in the absence of complete genome sequence. Moreover, proteomics is of great value in interpreting and annotating EST databases.

Animals↗