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At least 343 records · Page 19Linked to original sources
PubMed2002

Proteomic analysis of the fetal brain.

We applied proteomic technologies to analyze the human fetal brain. Such an analysis could provide us with important information on the development of the early neuronal life in healthy and diseased states. The proteins from the cerebellum of control subjects were analyzed by two-dimensional electrophoresis and identified by matrix-assisted laser desorption/ionization-mass spectrometry on the basis of peptide mass fingerprinting, following in-gel digestion with trypsin. Approximately 3,000 spots, excised from three two-dimensional gels, were analyzed which resulted in the identification of about 1,700 proteins that were the products of 437 different genes. About half of them are enzyme subunits and are mainly localized in the cytosol and in mitochondria. The most frequently identified proteins in the various gels were heat shock proteins, house-keeping enzymes, such as ATP synthase chains, protein disulfide isomerase, and structural proteins, such as tubulin chains. Seven gene products were identified for the first time in the fetal brain. The other proteins had also been detected in other human samples which were analyzed in our laboratory. Most proteins were represented by multiple spots. In average, about 3-5 spots were detected per gene product. The fetal brain database includes proteins with important functions and also with unknown functions and represents today one of the largest two-dimensional databases for higher eukaryotic proteomes. It may be a useful tool in the investigation of protein changes in neurodegenerative diseases early in life.

Brain↗
PubMed2003

Mitochondrial proteomics. Undercover in the lipid bilayer.

Alteration of the mitochondrial proteome and altered mitochondrial function has been implicated in a variety of degenerative diseases, heart disease, aging and cancer. Based upon the human genome there is estimated to be approximately 1000 to 2000 proteins constituting the mitochondrial proteome. Despite the ability of a traditional proteomic approach involving two-dimensional gel electrophoresis (2-DE) to resolve and identify thousands of proteins in a single gel, just over 600 mitochondrial proteins have been identified and characterized at the molecular level. The limitations and recent advances of 2-DE in its ability to study mitochondrial proteins and create a database of the mitochondrial proteome is discussed, as well as the alternative methods that are being employed, including different mass spectrometry based approaches following both one-dimensional SDS-PAGE and gel-free approaches, blue native gel electrophoresis (BN-PAGE), proteome simplification by submitochondrial fractionation, and affinity chromatography. In addition, the successful application of proteomics to the investigation of some specific mitochondrial cardiomyopathies is discussed.

Animals↗
PubMed2006

Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments.

The open-source Computational Proteomics Analysis System (CPAS) contains an entire data analysis and management pipeline for Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) proteomics, including experiment annotation, protein database searching and sequence management, and mining LC-MS/MS peptide and protein identifications. CPAS architecture and features, such as a general experiment annotation component, installation software, and data security management, make it useful for collaborative projects across geographical locations and for proteomics laboratories without substantial computational support.

Computational Biology↗
PubMed2004

CoPS: Comprehensive Peptide Signature database.

UNLABELLED: We present the development of a Comprehensive database of 12 076 invariant Peptide Signatures (CoPS) derived from 52 bacterial genomes with a minimum occurrence in at least seven organisms. These peptides were observed in functionally similar proteins and are distributed over nearly 1250 different functional proteins. The database provides function, structure and occurrence in biochemical pathways of the proteins containing these signature peptides. It houses additional information on the signature peptides, such as identical match in other motif/pattern (e.g. PROSITE, BLOCKS, PRINTS and Pfam) databases and the database of interacting proteins, human proteome and mutation effect on these signature peptides. There is a wide applicability of this database in the identification of critical functional residues in proteins. The database also facilitates the identification of folding nucleus/structural determinants in proteins and functional assignment to yet unknown proteins. We demonstrate functional assignment to 2605 hypothetical proteins in bacterial genomes and 112 unknown proteins in human using this database. AVAILABILITY: The database can be freely accessed through the following URL: http://203.195.151.46/copsv2/index.html or http://203.90.127.70/copsv2/index.html

Bacterial Proteins↗
PubMed1997

Evaluation of algorithms used for cross-species proteome characterisation.

The ability to effectively search databases for the identification of protein spots from two-dimensional electrophoresis gels has become an essential step in the study of microbial proteomes. A variety of analytical techniques are currently being employed during protein characterisation. A number of algorithms used to search databases, accessible via the World Wide Web, depend upon information concerning N- and C-terminal microsequence, amino acid composition, and peptide-mass fingerprinting. The effectiveness of nine such algorithms, as well as COMBINED (software developed in this laboratory for identifying proteins across species boundaries) was examined. Fifty-four ribosomal proteins from the Mycoplasma genitalium genome, and 72 amino acyl tRNA synthetases from the Haemophilus influenzae, M. genitalium and Methanococcus jannaschii genomes were chosen for study. These proteins were selected because they represent a wide range of sequence identities across species boundaries (22.7-100% identity), as detected by standard sequence alignment tools. Such sequence variation allowed for a statistical comparison of algorithm success measured against published sequence identity. The ability of analytical techniques used in protein characterisation and associated database query programs to detect identity at the functional group level was examined for proteins with low levels of homology at the gene/protein sequence level. The significance of these theoretical data manipulations provided the means to predict the utility of data acquired experimentally for non-sequence-dependent software in proteome analysis. The data obtained also predicted that 'sequence tagging' of peptide fingerprints would need to be accompanied by at least 11-20 residues of amino acid sequence for it to be widely used for protein characterisation across species boundaries.

Algorithms↗
PubMed2002

Functional annotation of proteomic sequences based on consensus of sequence and structural analysis.

To maximise the assignment of function of the proteins encoded by a genome and to aid the search for novel drug targets, there is an emerging need for sensitive methods of predicting protein function on a genome-wide basis. GeneAtlas is an automated, high-throughput pipeline for the prediction of protein structure and function using sequence similarity detection, homology modelling and fold recognition methods. GeneAtlas is described in detail here. To test GeneAtlas, a 'virtual' genome was used, a subset of PDB structures from the SCOP database, in which the functional relationships are known. GeneAtlas detects additional relationships by building 3D models in comparison with the sequence searching method PSI-BLAST. Functionally related proteins with sequence identity below the twilight zone can be recognised correctly.

Consensus Sequence↗
PubMed2006

Analysis of posttranslational modifications exemplified using protein kinase A.

With the completion of the major genome projects, one focus in biomedical research has shifted from the analysis of the rather static genome to the highly dynamic proteome. The sequencing of whole genomes did not lead to much anticipated insights into disease mechanisms; however, it paved the way for proteomics by providing the databases for protein identification by peptide mass fingerprints. The relative protein distribution within a cell or tissue is subject to change upon external and internal stimuli. Signal transduction events extend beyond a simple change in protein levels; rather they are governed by posttranslational modifications (PTMs), which provide a quick and efficient way to modulate cellular signals. Because most PTMs change the mass of a protein, they are amenable to analysis by mass spectrometry. Their investigation adds a level of functionality to proteomics, which can be expected to greatly aid in the understanding of the complex cellular machinery involved in signal transduction, metabolism, differentiation or in disease. This review provides an overview on posttranslational modifications exemplified on the model system cAMP-dependent protein kinase. Strategies for detection of selected PTMs are described and discussed in the context of protein kinase function.

Acylation↗
PubMed2001

Proteomics of the nervous system.

The recent success of large-scale industrialized genomic sequencing opens new doors in studies of biological systems. In the current post-genomic era we must ask how to translate this DNA sequence information into an understanding of living cells, tissues and organisms. One of the major goals is to characterize protein function, biochemical pathways and networks. Achieving this aim is greatly advanced by application of new proteomic tools combined with database mining. Neuroscience in particular is poised to benefit from these approaches in light of its high complexity and cross-talk between different neurotransmitter receptors within the same synapse or across the synaptic cleft. Little is known about the global in vivo protein interactions within synapses, and the knowledge of all proteins present in such structures will help in determining sub-complexes and the modular arrangement of proteins within them. This article reviews the impact of and outlines the application of proteomic analysis in the field of neuroscience, illustrating this with the example of NMDA receptor complexes.

Animals↗
PubMed2006

Proteomic analysis of a highly metastatic gastric cancer cell line using two-dimensional differential gel electrophoresis.

Stomach cancer is still a major cause of death in Asian people despite a complete cure after the resection of early cancers, mainly because peritoneal dissemination is difficult to treat. In the present study, we used two-dimensional differential gel electrophoresis (2-D DIGE) to identify specific proteins differentially expressed between a highly metastatic stomach cancer cell line MKN-45-P and its parental cell line MKN-45. We detected 27 protein spots in at least 2 of 3 experiments which showed statistically significant differences in abundance. All 27 protein spots were identified using matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry (MS) and database-searching software. A proteomic analysis revealed 13 different proteins with some isoforms sharing different biochemical characteristics, and that 8 proteins were up-regulated, and 5 were down-regulated. The 13 proteins were mainly involved in protein synthesis (transfer RNA synthetase), metabolism (flavoprotein subunit, pyruvate kinase, adenylate kinase), receptor and signal transduction (annexins I and A2), the cytoskeleton (keratin 5, cytokeratin 8) and cell cycling (ts11). These results suggested that a proteomic approach including 2-D DIGE would be an efficient way to identify the proteins responsible for specific biological functions. Moreover, these observations might be novel findings leading to the prediction of postoperative peritoneal recurrence.

Cell Line, Tumor↗
PubMed1999

Interferon gamma regulates a unique set of proteins in fresh human bladder transitional cell carcinomas.

Poly(A) mRNA was isolated from human placental trophoblast cells stimulated with 100 U/mL of interleukin-2 and 5 microg/mL of phytohemagglutinin and reverse-transcribed. The cDNA coding for the mature interferon-gamma (IFN-gamma) protein was amplified using specific primers, cloned into the pGEX-4T2 vector, and expressed in Escherichia coli. Treatment of four fresh bladder transitional cell carcinoma (TCC) biopsies (TCCs 845-1, grade II, Ta; TCC 925-1, grade II, Ta; TCC 919-1, grade III, T1; TCC 950-1, grade III, T1) with the purified recombinant trophoblast IFN-gamma (50 U/mL, 20 h), followed by proteome analysis using two-dimensional gel electrophoresis, revealed several major proteins whose level of expression were affected by this cytokine. Of these, five (tryptophanyl-tRNA synthetase, the interferon gamma-inducible protein gamma3, mangase superoxide dismutase, and two unknown proteins of apparent molecular masses of 35.8 and 11.2 kDa, respectively) were upregulated in at least 75% of the tumors analyzed while one was downregulated (aldose reductase). Proteins were identified using a combination of techniques that included microsequencing, two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) immunoblotting and comparison with the transitional cell carcinoma isoelectric focusing (IEF) database (http://biobase.dk/cgi-bin/celis). Proteome profile analysis of primary cultures from a low-grade lesion (TCC 846-1, Grade II, Ta) labeled in the presence and absence of IFN-gamma showed that all of the proteins disregulated in vivo were also affected in the cultures. The cultured cells, on the other hand, exhibited additional changes that were not detected in vivo and that may reflect adaptation to the culturing conditions. Taken together, the results provide a first glance at the effect of IFN-gamma on the protein expression profiles of TCCs, and in due course may form the basis for more comprehensive studies aimed at evaluating the usefulness of this cytokine in bladder cancer management.

Carcinoma, Transitional Cell↗
PubMed2005

Amino acid variation in cellular processes in 108 bacterial proteomes.

We have analysed 108 bacterial proteomes in the KEGG database to explore the variation of amino acid composition with respect to protein function. The ratio between the observed amino acid composition and that predicted based on mononucleotide composition was calculated for each functional category. This indicated whether the compositional variation arose from mutation or selection pressure. The results showed that charged amino acids (Lys, Arg and Glu), were found more frequently than expected in proteins involved in genetic information processing (i.e. transcription, translation, etc.) Similarly, in the proteins involved in processing environmental information (e.g. signal transduction), the hydrophobic amino acid Leu was found in excess of values expected from the base composition in the genes.

Amino Acid Substitution↗
PubMed2005

Availability of short amino acid sequences in proteins.

Much attention is being paid to protein databases as an important information source for proteome research. Although used extensively for similarity searches, protein databases themselves have not fully been characterized. In a systematic attempt to reveal protein-database characters that could contribute to revealing how protein chains are constructed, frequency distributions of all possible combinatorial sets of three, four, and five amino acids ("triplets," "quartets," and "pentats"; collectively called constituent sequences) have been examined in the nonredundant (nr) protein database, demonstrating the existence of nonrandom bias in their "availability" at the population level. Nonexistent short sequences of pentats were found that showed low availability in biological proteins against their expected probabilities of occurrence. Among them, six representative ones were successfully synthesized as peptides with reasonably high yields in a conventional Fmoc method, excluding the possibility that a putative physicochemical energy barrier in forming them could be a direct cause for the low availability. They were also expressed as soluble fusion proteins in a conventional Escherichia coli BL21Star(DE3) system with reasonably high yield, again excluding a possible difficulty in their biological synthesis. Together, these results suggest that information on three-dimensional structures and functions of proteins exists in the context of connections of short constituent sequences, and that proteins are composed of evolutionarily selected constituent sequences, which are reflected in their availability differences in the database. These results may have biological implications for protein structural studies.

Amino Acid Sequence↗
PubMed1998

Proteome analysis: biological assay or data archive?

In this review we examine the current state of proteome analysis. There are three main issues discussed: why it is necessary to study proteomes; how proteomes can be analyzed with current technology; and how proteome analysis can be used to enhance biological research. We conclude that proteome analysis is an essential tool in the understanding of regulated biological systems. Current technology, while still mostly limited to the more abundant proteins, enables the use of proteome analysis both to establish databases of proteins present, and to perform biological assays involving measurement of multiple variables. We believe that the utility of proteome analysis in future biological research will continue to be enhanced by further improvements in analytical technology.

Animals↗
PubMed2026

MegaPX: fast and space-efficient peptide assignment method using IBF-based multi-indexing.

MOTIVATION: A central problem for metaproteomic analysis is the often-unknown taxonomic composition of the analyzed microbiomes. Using a database search, the standard approach requires prior knowledge of which proteins and taxa to include in the protein reference database or to use tailored metagenome-derived databases, which are expensive and error-prone in their generation. A possible strategy to circumvent this database search issue is de novo sequencing, where peptide sequences are directly identified from mass spectra. However, these sequences must still be mapped back to potentially extensive databases. Here, alignment-based approaches enable robust and precise results, with the potential drawback of high memory usage and long run times. RESULTS: We present MegaPX, a software for rapidly classifying de novo peptide sequences against large protein databases. MegaPX implemented as a C++-based tool, uses an alignment-free, k-mer approach as a taxonomic classification method with the possibility of generating mutated reference databases for error-tolerant searching. It uses various algorithms, including interleaved Bloom filters, to efficiently compute approximate membership queries, ensuring fast processing times while querying and indexing large databases in a multi-indexing fashion. We demonstrate the potential of MegaPX by analyzing different samples, including metaproteomics, against extensive reference databases, highlighting its use as a fast screening tool.

Software↗