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PubMed1995

Comparison between the phi distribution of the amino acids in the protein database and NMR data indicates that amino acids have various phi propensities in the random coil conformation.

It has been indicated that amino acids have various intrinsic phi and psi propensities, as demonstrated from the comparison between experimental secondary structure propensities and their relative statistical distribution in the protein database for the appropriate region of the Ramachandran plot. However, this does not eliminate the possibility that these experimental propensities are the result of context effects due to the secondary structure environment of the mutated position. To demonstrate that there are at least real intrinsic phi propensities, independent of context effects, we have used two different nuclear magnetic resonance parameters related to the phi dihedral angle (J3 alpha HN coupling constants and the chemical shift of the C alpha H proton), determined in random-coil tetra- and pentapeptides, and/or in proteins. Comparison of the experimentally determined values for these parameters with the theoretical ones determined from the analysis by different empirical and theoretical equations of the phi dihedral angle statistical distribution of the amino acids in the protein database, supports the idea that each amino acid has, at least, different phi intrinsic propensities. Consideration of all conformations, or only coil conformations, in the protein database produces similar results. The reasonable correlation between these experimental and theoretical data and the hydrogen-exchange data in random-coil peptides suggests that maximisation of hydrophobic surface-buried and hydrogen-bond formation with the solvent could be responsible for these different random-coil conformational preferences. Analysis of the intrinsic propensities for beta-strand, alpha-helix and polyproline II dihedral angles of the 20 amino acids in coil conformations, indicates that the side-chain of the amino acids is mainly determining the relative preferences for the phi angle.

Amino Acids↗
PubMed1991

The gene-protein database of Escherichia coli: edition 4.

The gene-protein database of Escherichia coli has as its core an index that links each of the protein spots from a two-dimensional polyacrylamide gel to the gene that encodes the protein. Additional information about each protein and its gene is generated from two-dimensional gel analysis or collated from the literature to form the database. Earlier editions of the database have provided periodic updates of information. The current edition does this, but also introduces a new reference gel image produced by an electrophoresis system recently adopted in this laboratory. The new gel system was chosen because it offers an improved opportunity for other investigations to produce close replicas of the reference gel pattern, thereby allowing easier access to the information of the database and encouraging independent contribution to the database. The new gel format also is larger and hence more compatible with computer assisted image analysis, which has become essential for a project of this magnitude. This edition continues the use of the former reference gel images, but adds a reference image of an equilibrium gel of E. coli strain W3110 produced by the new standardized gel system. At this time, 55% of the protein spots annotated on the previous equilibrium reference gel for this organism have been located on the new reference image, and these identifications are included in the tables of the database.

Bacterial Proteins↗
PubMed1989

Protein databases and software on BIONET.

BIONET provides databases, software, and networking/communications tools to over 2500 molecular biologists worldwide. Software for the analysis of nucleic acid and protein sequence data is provided by both IntelliGenetics and academic contributors. BIONET is currently implementing dedicated high speed servers for searching protein databases, as well as providing more flexible tools for protein structure recognition and prediction. In this review, protein databases and analysis software available on the BIONET resource are described, and progress in providing new tools for structure prediction, comparative sequence analysis, and pattern recognition using Artificial Intelligence (AI) techniques are summarized.

Amino Acid Sequence↗
PubMed1995

Method to correlate tandem mass spectra of modified peptides to amino acid sequences in the protein database.

A method to correlate uninterpreted tandem mass spectra of modified peptides, produced under low-energy (10-50 eV) collision conditions, with amino acid sequences in a protein database has been developed. The fragmentation patterns observed in the tandem mass spectra of peptides containing covalent modifications is used to directly search and fit linear amino acid sequences in the database. Specific information relevant to sites of modification is not contained in the character-based sequence information of the databases. The search method considers each putative modification site as both modified and unmodified in one pass through the database and simultaneously considers up to three different sites of modification. The search method will identify the correct sequence if the tandem mass spectrum did not represent a modified peptide. This approach is demonstrated with peptides containing modifications such as S-carboxymethylated cysteine, oxidized methionine, phosphoserine, phosphothreonine, or phosphotyrosine. In addition, a scanning approach is used in which neutral loss scans are used to initiate the acquisition of product ion MS/MS spectra of doubly charged phosphorylated peptides during a single chromatographic run for data analysis with the database-searching algorithm. The approach described in this paper provides a convenient method to match the nascent tandem mass spectra of modified peptides to sequences in a protein database and thereby identify previously unknown sites of modification.

Algorithms↗
PubMed1990

A two-dimensional gel protein database of noncultured total normal human epidermal keratinocytes: identification of proteins strongly up-regulated in psoriatic epidermis.

A two-dimensional (2-D) gel database of proteins from noncultured total normal human epidermal keratinocytes has been established. A total of 1449 [35S]methionine labelled proteins (1112 isoelectric focusing, 337 nonequilibrium pH gradient electrophoresis) were resolved and recorded using computer assisted (PDQ-SCAN and PDQUEST software) 2-D gel electrophoresis. By matching the protein patterns of total keratinocytes and transformed human amnion cells (master database; Celis et al., Leukemia 1988, 2, 561-602) as well as by 2-D immunoblotting and microsequencing of keratinocyte proteins, it was possible to identify 72 polypeptides in the keratinocyte database. The database also includes data on polypeptides that are synthesized at a higher level by keratinocytes enriched in basal cells, and on six secreted proteins which are produced, albeit at a reduced rate, by normal keratinocytes and that are strongly up-regulated in psoriatic epidermis (Celis et al., FEBS Letters, in press).

Electrophoresis, Gel, Two-Dimensional↗
PubMed1995

The major protein expression profile and two-dimensional protein database of human heart.

The construction of a two-dimensional protein database of the human heart is presented. The database contains information on about 300 abundant proteins of human myocardial tissue, including approximately 40 proteins that were identified by different methods. Each protein was characterized according to several parameters, including molecular weight, isoelectric point, name, partial sequence, subcellular localization, and genetic as well as embryonic changes.

Amino Acid Sequence↗
PubMed1992

Analysis of embryonic mouse development: construction of a high-resolution, two-dimensional gel protein database.

Numerous studies have revealed stage specific alterations in protein synthesis that occur in mouse embryos. A thorough analysis of these changes has been hampered by limitations in the ability to resolve individual proteins, the ability to accurately quantify and manage data from two-dimensional gel images, and by variation in the staging of the embryos used. To learn more of the changes in protein synthesis that occur during early development, we constructed a protein database for the mouse embryo using the QUEST system of high-resolution, two-dimensional gel electrophoresis and computerized gel image analysis (Garrels, 1989, J. Biol. Chem., 264:526). Synchronous cohorts of embryos were labeled at 3 h intervals throughout the entire preimplantation period from fertilization to blastocyst stage in order to characterize in detail the changes in protein synthesis pattern that occur during normal preimplantation development. Additional samples were prepared from early post-implantation embryos, isolated inner cell mass and trophoblast cells, and cultured embryonic stem cells. These provide the means for identifying cell and tissue specific proteins and for characterizing changes in protein synthesis that accompany early cellular differentiation in the embryo. We present here a description of the mouse embryo database and discuss its potential usefulness to the study of mammalian embryogenesis.

Animals↗
PubMed1994

The human myocardial two-dimensional gel protein database: update 1994.

An updated human heart protein two-dimensional electrophoresis (2-DE) database is presented. The database, which contains some 1388 protein spots characterised in terms of M(r) and pI, has been analysed further by Western immunoblotting and protein sequencing. From a total of 103 protein spots analysed, 49 have been identified by immunoblotting and 32 have been identified by protein sequencing. A further six proteins have tentatively been assigned by comparison with the human heart 2-DE protein database of Jungblut et al. (Electrophoresis) 1994, 15, 685-607). This database is being used in studies of alterations in protein expression in the diseased and transplanted human heart.

Amino Acid Sequence↗
PubMed1990

Gene-protein database of Escherichia coli K-12: edition 3.

The first two editions of the E. coli Gene-Protein Index were published to provide identifications of protein spots resolved by two-dimensional gel electrophoresis as the products of known genes. This third edition has been expanded to include information about genes and proteins gained directly from two-dimensional gel analysis--including information about protein spots not yet characterized genetically or biochemically--and is therefore more properly called a cellular protein database. An alpha-numeric designation has been uniquely assigned to each of the 616 polypeptide spots in the current database. To this, information is linked about the polypeptide's identification (protein name, gene name, Enzyme Commission--EC number), location on reference gels (x-y coordinates), genetics (Genbank code, DNA sequence reference), biochemistry (molecular weight, isoelectric point), and physiology (steady state level of the protein as a function of media and temperature, membership in various regulons and stimulons).

Bacterial Proteins↗
PubMed1989

Transformation-sensitive and growth-related changes of protein synthesis in REF52 cells. A two-dimensional gel analysis of SV40-, adenovirus-, and Kirsten murine sarcoma virus-transformed rat cells using the REF52 protein database.

Two-dimensional gels of normal and virally transformed REF52 cells have been quantified and compared using the QUEST system for construction and analysis of protein databases. The REF52 protein map is based on more than 1600 high quality spots, and the relative amounts of these proteins are studied in 79 gels representing 12 major experiments. REF52 cells transformed by SV40, adenovirus, and Kirsten murine sarcoma virus (KiMSV) are compared to normal REF52 cells at several stages of growth from low density to confluence and after refeeding confluent cells. In addition, early (1-4 h) and late (21-24 h) responses to serum stimulation were measured in normal, SV40-and adenovirus-transformed cells. The database has been analyzed with respect to 1) known marker proteins and protein sets, 2) global comparison of protein patterns, and 3) selection of unknown spots which have interesting patterns of regulation. For the marker proteins, which include the tropomyosin family and the proliferation-sensitive nuclear antigen, new aspects of regulation by growth and transformation have been revealed. Proliferation-sensitive nuclear antigen, a protein known to be involved in DNA synthesis, is growth-regulated in normal cells and overexpressed in some SV40- and adenovirus-transformed cells. Global comparisons reveal no overall correlation between growth-regulated changes and transformation-induced changes; however, a set of 26 coregulated proteins, including proliferation-sensitive nuclear antigen, was found to be overexpressed in REF52 cells transformed by SV40 or adenovirus. These proteins are synthesized at rates that correlate with the rate of cell proliferation in REF52 and Kirsten murine sarcoma virus-transformed cells but, in SV40- and adenovirus-transformed cells, these proteins are synthesized at high levels independent of the rate of growth. These data suggest that the transforming proteins of SV40 and adenovirus share a function that results in deregulation of the genes coding for a class of cell cycle-regulated proteins.

Adenoviridae↗
PubMed1989

Two dimensional gel human protein databases offer a systematic approach to the study of cell proliferation and differentiation.

Human cellular protein databases have been established using computer-analyzed 2D gel electrophoresis. These databases, which include information on various properties of proteins, offer a global approach to the study of regulation of cell proliferation and differentiation. Furthermore, thanks to the advent of microsequencing the databases make it possible to directly link protein and DNA information.

Amino Acid Sequence↗
PubMedDate not supplied

Identification of transformation sensitive proteins recorded in human two-dimensional gel protein databases by mass spectrometric peptide mapping alone and in combination with microsequencing.

A comprehensive human keratinocyte two-dimensional (2-D) gel protein database has been established to study the expression levels and properties of the thousands of proteins that orchestrate various keratinocyte functions both in health and disease, cancer included. A major task in establishing such a database is to identify known proteins in the 2-D gel patterns as well as to reveal hitherto unknown proteins. To date, protein identification has been performed by one or a combination of the following methods: (i) comigration with known proteins, (ii) Western blotting using specific antibodies, (iii) microsequencing and (iv) vaccinia virus expression of full length cDNAs. Recently, the systematic identification of proteins has gained a new dimension with the advent of computer programs for searching peptide molecular mass databases with experimentally obtained peptide mass maps. Here we investigate this approach to identify proteins that are highly up- or down-regulated in simian virus SV40 transformed human keratinocytes (K14). Peptide mass maps of several proteins, including keratins 7, 8, 18 and 19 were obtained either by plasma desorption mass spectrometry (PDMS) analysis of high performance liquid chromatography (HPLC) purified peptides or by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) of total digests. The results demonstrated that peptide mass maps can be used for a rapid and sensitive protein identification allowing fast screening of proteins recorded in 2-D gel databases. The mass spectrometric approach when combined with microsequencing strengthened identification, and added the possibility of full characterization of post-translational modifications and sequence variations.

Amino Acid Sequence↗
PubMedDate not supplied

A qualitative and quantitative protein database approach identifies individual and groups of functionally related proteins that are differentially regulated in simian virus 40 (SV40) transformed human keratinocytes: an overview of the functional changes associated with the transformed phenotype.

A qualitative and quantitative two-dimensional (2-D) gel database approach has been used to identify individual and groups of proteins that are differentially regulated in simian virus 40 (SV40) transformed human keratinocytes (K14). Five hundred and sixty [35S]methionine-labeled proteins (462 isoelectric focusing, IEF; 98 nonequilibrium pH gradient electrophoresis, NEPHGE), out of the 3038 recorded in the master keratinocyte database, were excised from dry, silver-stained gels of normal proliferating primary keratinocytes and K14 cells and the radioactivity was determined by liquid scintillation counting. Two hundred and thirty five proteins were found to be either up- (177) or down-regulated (58) in the transformed cells by 50% or more, and of these, 115 corresponded to known proteins in the keratinocyte database (J.E. Celis et al., Electrophoresis 1993, 14, 1091-1198). The lowest abundance acidic protein quantitated was present in about 60,000 molecules per cell, assuming a value of 10(8) molecules per cell for total actin. The results identified individual, and groups of functionally related proteins that are differentially regulated in K14 keratinocytes and that play a role in a variety of cellular activities that include general metabolism, the cytoskeleton, DNA replication and cell proliferation, transcription and translation, protein folding, assembly, repair and turnover, membrane traffic, signal transduction, and differentiation. In addition, the results revealed several transformation sensitive proteins of unknown identity in the database as well as known proteins of yet undefined functions. Within the latter group, members of the S100 protein family--whose genes are clustered on human chromosome 1q21--were among the highest down-regulated proteins in K14 keratinocytes. Visual inspection of films exposed for different periods of time revealed only one new protein in the transformed K14 keratinocytes and this corresponded to keratin 18, a cytokeratin expressed mainly by simple epithelia. Besides providing with the first global overview of the functional changes associated with the transformed phenotype of human keratinocytes, the data strengthened previous evidence indicating that transformation results in the abnormal expression of normal genes rather than in the expression of new ones.

Autoradiography↗
PubMed1990

The MRC-5 human embryonal lung fibroblast two-dimensional gel cellular protein database: quantitative identification of polypeptides whose relative abundance differs between quiescent, proliferating and SV40 transformed cells.

A new version of the MRC-5 two-dimensional gel cellular protein database (Celis et al., Electrophoresis 1989, 10, 76-115) is presented. Gels were scanned with a Molecular Dynamics laser scanner and processed by the PDQUEST II software. A total of 1895 [35S]methionine-labeled cellular polypeptides (1323 with isoelectric focusing and 572 with nonequilibrium pH gradient electrophoresis) are recorded in this database, containing quantitative and qualitative data on the relative abundance of cellular proteins synthesized by quiescent, proliferating and SV40 transformed MRC-5 fibroblasts. Of the 592 proteins quantitated so far, the levels of 138 were up- or down-regulated (51 and 87, respectively) by two times or more in the transformed cells as compared to their normal proliferating counterparts, while only 14 behaved similarly in quiescent cells. Seven MRC-5 SV40 proteins, including plastin and two interferon-induced proteins, were not detected in the master MRC-5 images. The identity of 36 of the transformation-sensitive proteins whose levels are up or down regulated by two times or more was determined and additional information can be transferred from the master transformed human epithelial amnion cells (AMA) database (Celis et al., Electrophoresis 1990, 11, 989-1071) for those polypeptides of known and unknown identity that have been matched to AMA polypeptides. As more information is gathered in this and other laboratories, including data on oncogene proteins and transcription factors, this comprehensive database will outline an integrated picture of the expression levels and properties of the thousands of protein components of organelles, pathways and cytoskeletal systems that may be directly or indirectly involved in properties associated with the transformed state.

Cell Transformation, Viral↗
PubMed1994

Protein identifications for a Saccharomyces cerevisiae protein database.

The rapid progress in understanding the genes of the yeast Saccharomyces cerevisiae can be supplemented by two-dimensional (2-D) gel studies to understand global patterns of protein synthesis, protein modification, and protein degradation. The first step in building a protein database for yeast is to identify many of the spots on 2-D gels. We are using protein sequencing, overexpression of genes on high-copy number plasmids, and amino acid analysis to identify the proteins from 2-D gels of yeast. The amino acid analysis technique involves labeling yeast samples with different amino acids and using quantitative image analysis to determine the relative amino acid abundances. The observed amino acid abundances are then searched against the current database of 2600 known yeast protein sequences. At present about 90 proteins on our yeast maps have been identified, and the number is rising rapidly. With many known proteins on the map, it will soon be possible to use 2-D gel analysis to study regulatory pathways in normal and mutant yeast, with knowledge of many the protein products that respond to each genetic or environmental manipulation.

Amino Acid Sequence↗
PubMed1994

The human keratinocyte two-dimensional protein database (update 1994): towards an integrated approach to the study of cell proliferation, differentiation and skin diseases.

The master two-dimensional (2-D) gel database of human keratinocytes currently lists 3087 cellular proteins (2168 isoelectric focusing, IEF; and 919 none-quilibrium pH gradient electrophoresis, NEPHGE), many of which correspond to posttranslational modifications, 890 polypeptides have been identified (protein name, organelle components, etc.) using one or a combination of procedures that include (i) comigration with known human proteins, (ii) 2-D gel immunoblotting using specific antibodies (iii) microsequencing of Coomassie Brilliant Blue stained proteins, (iv) mass spectrometry and (v) vaccinia virus expression of full length cDNAs. These are listed both in alphabetical order and with increasing SSP number, together with their M(r), pI, cellular localization and credit to the investigator(s) that aided in the identification. Furthermore, we list 239 microsequenced proteins recorded in the database. We also report a database of proteins recovered from the medium of noncultured, unfractionated keratinocytes. This database lists 398 polypeptides (309 IEF; 89 NEPHGE) of which 76 have been identified. The aim of the comprehensive databases is to gather, through a systematic study of keratinocytes, qualitative and quantitative information on proteins and their genes that may allow us to identify abnormal patterns of gene expression and, ultimately, to pinpoint signaling pathways and components affected in various skin diseases, cancer included.

Amino Acid Sequence↗
PubMed1990

Sequence analysis of proteins separated by polyacrylamide gel electrophoresis: towards an integrated protein database.

Improved technologies or the synergistic use of complementary methods enhance the efficiency of research and permit the exploration of new approaches for the investigation of complex problems. High sensitivity protein sequence analysis and polyacrylamide gel electrophoresis are such complementary methods. Here we summarize the current status of high sensitivity sequence analysis of proteins separated in polyacrylamide gels and discuss strategies by which this technology can enhance biological research by generating new approaches for the solution of complex, multifacetted problems. Finally, we outline imminent technological advances in the area of high sensitivity protein sequence analysis and argue that further technological developments will ultimately lead to the generation of an integrated protein database (containing structural and functional as well as physiological information in an easily accessible form) of all the proteins separated by high resolution two-dimensional gel electrophoresis.

Amino Acid Sequence↗
PubMed1994

Amino acid analysis and protein database compositional search as a rapid and inexpensive method to identify proteins.

The identification of protein samples in minute quantities of protein samples, e.g., from two-dimensional polyacrylamide gel electrophoresis analysis, is an everyday problem in biology laboratories. Here we show that computer-assisted amino acid analysis can fulfill this task. Amino acid analysis data can be used to compare the amino acid composition of an unknown protein with protein compositions in a database (compositional search). Routine amino acid analysis data can, despite a certain margin of error, be used to identify a protein. Compared to protein sequencing, amino analysis is much cheaper, faster, and allows higher sample throughput. Thus, the method may replace protein sequencing as a first attempt in identification, provided a homolog can be found in the database.

Amino Acid Sequence↗