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Researchers have been wishing for years for a database integrating protein sequences and protein structures. A group from the United Kingdom has achieved this long-sought objective.
This communication briefly describes how a human heart two-dimensional electrophoresis (2-DE) protein database is being established in our laboratory. The database contains more than 1500 polypeptides and approximately fifty proteins from 2-DE gels of human myocardial tissue have been characterised. Information about the proteins has been compiled including molecular weight (M(r)), isoelectric point (pI), sample spot (SSP) number, protein name, partial sequence, and antibody reacting with the protein. The first stage of this project involves the investigation of protein with pIs in the range pH 4-7. Future studies will employ immobilised pH gradient (IPG) gels as the first dimension of the 2-DE to examine basic proteins. The ultimate goal of this project is to establish a global picture of human heart protein expression in both normal and disease conditions.
Alterations in the abundance or structure of mouse liver proteins are being studied using two-dimensional gel electrophoresis (2-DE) to build a database of protein changes correlating with exposure to ionizing radiation or toxic chemicals. Thus far, studies have included the analysis of proteins from the offspring of exposed parents or from the exposed individuals themselves. In order to characterize and identify proteins found altered by such exposures, sex- and strain-related differences in protein patterns have been analyzed, and the subcellular locations of a large portion of the mapped proteins have been determined. As part of these studies, data are collected and stored using a variety of computer hardware and software tools that allow the accumulation of information on the origin of samples, gel identification, experiment description, and protein similarities and differences. This accumulation of information constitutes the mouse liver protein database. Relational database software is used to tie the different facets of the database together so that the results of a variety of experiments can be compared and interrelated. The database optimizes the information obtained from 2-DE gel sets by allowing use of the data for many purposes, including monitoring of gel resolution to ensure the collection of high quality data and correlation of protein effects induced by different agents. This first edition of the Argonne National Laboratory mouse liver protein database lays the foundation for future work and communication that should elucidate the significance of observed protein effects as possible markers of exposure to toxic agents.
Quantitative protein databases reveal the response of cells to experimental variables, such as exposure to growth factors or transfection with a transforming gene. The nature of the response depends on the type of cell and its internal state at the time of the stimulus. By constructing a protein database to study a given cell line, we can better understand the differentiated state of the cell, the growth regulatory mechanisms it employs, the particular mechanisms it uses to cope with its environment, and the ways these mechanisms may have been compromised through mutation or transformation. The REF52 database is a quantitative database designed to study growth control and transformation in a well-defined family of normal and transformed rat cell lines. The database, which has been described and analyzed elsewhere (J. I. Garrels and B. R. Franza, J. Biol. Chem. 1989, 264, 5283-5298 and J. I. Garrels and B. R. Franza, J. Biol. Chem. 1989, 264, 5299-5312) is further explored here using cluster analysis. This method reveals the most common protein expression profiles for each series of two-dimensional gels without requiring any prior hypothesis or queries on the part of the investigator. This study reveals, for each experiment, large and small clusters of protein expression profiles, most of which have readily apparent biological meaning. For example, large clusters of proteins induced or repressed during growth to confluence have been revealed, and several clusters of transformation-sensitive proteins reveal differential effects of transformation by DNA- and RNA-tumor viruses. This analysis extends our earlier quantitative explorations of the REF52 protein database and helps to show how such a database can be used to provide context and guidance for molecular studies of regulation in a given cell system.
The construction and analysis of protein databases using the QUEST system is described, and the REF52 protein database is presented. A protein database provides the means to store and compare quantitative and descriptive data for up to 2000 proteins from many experiments that employ computer-analyzed two-dimensional gel electrophoresis. The QUEST system provides the tools to manage, analyze, and communicate these data. The REF52 database contains experiments with normal and transformed rat cell lines. In this report, many of the proteins on the REF52 map are identified by name, by subcellular localization, and by mode of post-translational modification. The quantitative experiments analyzed and compared here include 1) a study of the quantitative reproducibility of the analysis system, 2) a study of the clonal reproducibility of REF52 cells, 3) a study of growth-related changes in REF52 cells, and 4) a study of the effects of labeling cells for varying lengths of time. Of the proteins analyzed from REF52 cells, 10% are nuclear, 6% are phosphoproteins, and 4% are mannose-labeled glycoproteins. The mannose-labeled proteins are more prominent in patterns from quiescent cells, while the synthesis of cytoskeletal proteins is generally repressed at quiescence. A small set of proteins, selected for elevated rates of synthesis is generally repressed at quiescence. A small set of proteins, selected for elevated rates of synthesis in quiescent versus proliferating cells includes one of the tropomyosin isoforms, a myosin light chain isoform, and several prominent glycoproteins. These proteins are thought to be characteristic of the differentiated state of untransformed REF52 cells. Proteins induced early versus late after refeeding quiescent cells show very different patterns of growth regulation. These studies lay the foundations of the REF52 database and provide information needed to interpret the experiments with transformed REF52 cells, which are reported in the accompanying paper (Garrels, J., and Franza, B. R., Jr. (1989) J. Biol. Chem. 264, 5299-5312).
In this paper, techniques are demonstrated for unambiguously mapping phosphoproteins and glycoproteins into a protein database of unfractionated fibroblast proteins. These methods allow for precise registration of subsets of proteins with the image of total proteins. The methods are also applicable to database mapping of antigens identified by indirect immunodetection methods and receptor molecules identified with photoaffinity ligands.
Protein database searches frequently can reveal biologically significant sequence relationships useful in understanding structure and function. Weak but meaningful sequence patterns can be obscured, however, by other similarities due only to chance. By searching a database for multiple as opposed to pairwise alignments, distant relationships are much more easily distinguished from background noise. Recent statistical results permit the power of this approach to be analyzed. Given a typical query sequence, an algorithm described here permits the current protein database to be searched for three-sequence alignments in less than 4 min. Such searches have revealed a variety of subtle relationships that pairwise search methods would be unable to detect.
A workshop on two-dimensional gel electrophoresis (2-DE) protein database, organized by the Committee on Data for Science and Technology (CODATA) of the International Council of Scientific Unions Task Group on Biological Macromolecules, was held at the CODATA Secretariat in Paris on March 9, 1992. Eleven scientists from eight different countries represented various aspects of 2-DE analysis--namely, cellular protein database development and protein microsequencing methodologies. The purpose of the workshop was to explore means of integrating the rapidly expanding body of information on 2-DE resolved proteins from different laboratories. A major proposal emanating from the workshop was the establishment of an intermediary or "relational" 2-DE gel protein database. This intermediary database, which would catalogue pertinent information on 2-DE resolved proteins (experimental source, 2-DE loci, biological information, etc.) could be an adjunct to, and accessed through, the existing international protein sequence databanks. It would function as a pointer for researchers to the individual 2-DE protein databases where primary and more specialized 2-DE data would be housed.
Comprehensive, computerized databases of cellular protein information derived from the analysis of two-dimensional gels, together with recently developed techniques to microsequence proteins offer a new dimension to the study of genome organization and function. In particular, human protein databases provide an ideal framework in which to focus the human genome sequencing effort.
Sixty-six human proteins recorded in the master transformed human epithelial amnion cells (AMA) (55) and keratinocyte (11) two-dimensional gel protein databases have been microsequenced since the last publication of the AMA database (Electrophoresis 1990, 12, 989-1071). Coomassie Brilliant Blue stained protein spots cut from several (up to 40) dry gels were concentrated by elution-concentration gel electrophoresis, electroblotted onto polyvinylidene difluoride membranes and in situ digested with trypsin. The eluting peptides were separated by reversed-phase high performance liquid chromatography (HPLC), collected individually and sequenced. Computer searches using the FASTA and TFASTA programs from the Genetics Computer Group indicated that 29 of the analyzed polypeptides correspond to hitherto unknown proteins.
A workshop entitled Cellular Protein Databases from Two-Dimensional Gel Electrophoresis was held in Atlanta, Georgia, 28 February-1 March 1987. Its purpose was to assess the status of two-dimensional gel electrophoresis of proteins as a research methodology in biological systems, particularly in the generation of cellular protein databases. The workshop participants summarized current studies on a variety of biological systems, both prokaryotic and eukaryotic. Analysis of the progress being made led to the conclusion that electrophoretic techniques, supported by automatic scanning of gel images and computer-assisted processing, analysis and matching of gel images, are now capable of generating databases of great potential value. Factors affecting the reproducibility of protein spot patterns on gels were identified, and the extent to which gel pattern variability causes difficulties in communicating results and in integrating information from different laboratories was assessed. Measures were suggested to help overcome obstacles to the generation of comprehensive cellular protein databases from the electrophoretic resolution of total cellular proteins.
A two-dimensional (2-D) gel database of cellular proteins from noncultured, unfractionated normal human epidermal keratinocytes has been established. A total of 2651 [35S]methionine-labeled cellular proteins (1868 isoelectric focusing, 783 nonequilibrium pH gradient electrophoresis) were resolved and recorded using computer-aided 2-D gel electrophoresis. The protein numbers in this database differ from those reported in an earlier version due to changes in the scanning hardware (Celis et al., Electrophoresis 1990, 11, 242-254). Annotation categories reported include: "protein name" (listing 207 known proteins in alphabetical order), "basal cell markers", "differentiation markers", "proteins highly up-regulated in psoriatic skin", "microsequenced proteins" and "human autoantigens". For reference, we have also included 2-D gel (isoelectric focusing) patterns of cultured normal and psoriatic keratinocytes, melanocytes, fibroblasts, dermal microvascular endothelial cells, peripheral blood mononuclear cells and sweat duct cells. The keratinocyte 2-D gel protein database will be updated yearly in the November issue of Electrophoresis.
The gene-protein database of Escherichia coli is both an index relating a gene to its protein product on two-dimensional gels, and a catalog of information about the function, regulation, and genetics of individual proteins obtained from two-dimensional gel analysis or collated from the literature. Edition 5 has 102 new entries--a 15% increase in the number of annotated two-dimensional gel spots. The large increase in this edition was accomplished in part by the use of a new method for expression analysis of ordered segments of the E. coli genome, which has resulted in linking 50 gel spots to their genes (or open reading frames) and another 45 to specific regions of the chromosome awaiting the availability of DNA sequence information. Communication of information from the scientific community resulted in additional identifications and regulatory information. To increase accessibility of the database it has been placed in the repository at the National Center for Biotechnology Information (NCBI) at the National Library of Medicine under the name ECO2DBASE. It will be updated twice yearly. This edition of the gene-protein database is estimated to contain entries for one-sixth of the protein-encoding genes of E. coli.
A total of 3430 polypeptides (2592 cellular; 838 secreted) from transformed human amnion cells (AMA) labeled with [35S]methionine were separated and recorded using computer-aided two-dimensional (2-D) gel electrophoresis. A master 2-D gel database of cellular protein information that includes both qualitative and quantitative annotations has been established. The protein numbers in this database differ from those reported in an earlier version (Celis et al. Leukemia 1988, 2,561-602) as a result of changes in the scanning hardware. The reported information includes: percentage of total radioactivity recovered from the gels (based on quantitations of polypeptides labeled with a mixture of 16 14C-amino acids), protein name (including credit to investigators that aided identification), antibody against protein, cellular localization, (nuclear, 40S hnRNP, 20S snRNP U5, proteasomes, endoplasmic reticulum, mitochondria, Golgi, ribosomes, intermediate filaments, microfilaments and microtubules), levels in fetal human tissues, partial protein sequences (containing information on 48 human proteins microsequenced so far), cell cycle-regulated proteins, proteins sensitive to interferons alpha, beta, and gamma, heat shock proteins, annexins and phosphorylated proteins. The results presented should be considered as the initial phase of a joint effort between our laboratories to undertake a general and systematic analysis of human proteins. Using this integrated approach it will be possible to identify phenotype-specific proteins, to microsequence them and store the information in the database, to identify the corresponding genes, to search for homology with previously characterized proteins and to study the function of groups of proteins (pathways, organelles, etc.) that exhibit interesting regulatory properties. In particular, the 2-D gel protein database may become increasingly important in view of the concerted effort to map and sequence the entire human genome.
In its most useful form a cellular protein database should be genomically based, because it is the genome which determines both the total number of proteins a cell can make and the particular ones that will be made under any given condition. Such a database should trace each protein back to its structural gene, and should account for every structural gene of a cell. Recent advances in molecular biology greatly facilitate the construction of such gene-protein databases. The mapping of genes of unidentified proteins resolved from total cell extracts on two-dimensional gels can now be accomplished by largely biochemical methods, without the necessity of isolating mutants or performing genetic crosses. Other techniques permit one to search gels for the product of any newly discovered gene (or open reading frame) suspected of encoding a protein. Consequently, gene-protein indices can be built independently and simultaneously from either direction--deducing the genetic map from the protein pattern, or finding the protein pattern from information encoded in the genome. A database of this sort is being constructed for the bacterium, Escherichia coli. Given the current pace of DNA nucleotide sequencing, the development of total gene-protein indices for a variety of cells can be anticipated in the near future.
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.
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.
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).