Bidding heats up for protein database.
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Computer databases of rat liver epithelial (RLE) cellular polypeptides have been established using high resolution two-dimensional gel electrophoresis and computer-assisted analysis. Databases have been constructed utilizing both [35S]methionine- and [32P]orthophosphate-labeled as well as silver-stained polypeptides from normal RLE cells. The RLE database, which contains both qualitative and quantitative annotations, includes experiments with normal, chemically and oncogene transformed as well as spontaneously transformed cell lines. A total of 2537 [35S]methionine-labeled polypeptides from whole cell lysates (1920 acidic and 617 basic, separated in the first dimension using isoelectric focusing and nonequilibrium pH gradient electrophoresis, respectively) were analyzed and databases constructed using the Elsie 5 gel analysis system. To increase the "viewing window" and hence the usefulness of the RLE database, subcellular fractionation of whole cell preparations was performed and high resolution two-dimensional maps of the individual subcellular components were constructed. Databases representing 1229 cytosolic, 1539 acidic and 674 basic nuclear, 1746 membrane-associated, 415 mitochondrial, 773 in vitro translated and 350 phosphoproteins were established from these maps. The RLE databases contain the Elsie 5 identification number, protein name (if known), molecular weight and pI information, quantitative and spot shape data, and specific information regarding transformation-sensitive, growth-related (exponentially proliferating versus confluent) cell populations as well as those polypeptides modulated by specific growth factors. The RLE databases represent initial efforts toward the establishment of comprehensive databases of rat liver proteins and serve as a vital resource for on-going as well as future studies regarding the regulation of growth and differentiation as well as transformation of RLE cells.
In this paper we describe a two-dimensional gel database of the regenerating newt limb. Protein synthesis was compared in the intact limb, in the 1-week regenerating limb, representing the dedifferentiation stage, and in the 2-week regenerating limb, representing the formation of the blastema. This comparative database provided data on differential expression of about 800 proteins during the process of limb regeneration. In addition, a map has been generated for these proteins for future guidance in characterizing further new, unknown proteins. The overall expression patterns of the proteins indicated that the dedifferentiation stage was marked by down-regulation of most proteins, while the blastema formation was marked by the appearance of many new proteins. The potential use of such a database in isolating factors involved during limb regeneration is discussed.
The master two-dimensional gel database of human keratinocytes currently lists 2980 cellular proteins (2098 isoelectric focusing, IEF; and 882 nonequilibrium pH gradient electrophoresis, NEPHGE) many of which correspond to posttranslational modifications. About 20% of all recorded proteins have been identified (protein name, organelle components, etc.) and they are listed in alphabetical order together with their M(r), pI, cellular localization and credit to the investigator(s) that aided in the identification. Also, we have listed 145 microsequenced proteins that are recorded in this database. As an aid in localizing the polypeptides we have included blow-ups of the master images (IEF, NEPHGE) displaying all the protein numbers. In the long run, the master keratinocyte database is expected to link protein and DNA sequencing and mapping information (Human Genome Program) and to provide an integrated picture of the expression levels and properties of the thousands of proteins that orchestrate various keratinocyte functions both in health and disease.
The master two-dimensional gel database of human keratinocytes currently lists 3038 cellular proteins (2127 isoelectric focusing, IEF; and 911 nonequilibrium pH gradient electrophoresis, NEPHGE) many of which correspond to post-translational modifications. 763 proteins have been identified (protein name, organelle components, etc.) and they 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 have listed 176 proteins that have been microsequenced so far and that are recorded in this database. We also include synthetic images depicting some interesting sets of proteins identified so far; these include components of hnRNP's, proteasomes or prosomes, ribosomes, as well as assorted organelle markers, GTP-binding proteins, calcium binding proteins, stress proteins, autoantigens, differentiation markers and psoriasis upregulated proteins. The aim of the comprehensive database 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.
We have started the construction of a two-dimensional database of the proteome of Francisella tularensis, a bacterium that is responsible for the highly pathogenic disease tularemia. The genome of this intracellular pathogen is not completely sequenced yet and, currently, information about only 66 proteins is available from NCBI database. We have analyzed the F. tularensis live vaccine strain by two-dimensional gel electrophoresis with immobilized pH 3-10 gradient in the first dimension and 9-16% gradient or tricine SDS-PAGE in the second dimension. In both cases about 2000 spots were detected. Furthermore, we compared the protein pattern of the nonvirulent F. tularensis live vaccine strain with protein profiles of two wild type clinical isolates and more than 50 differentially expressed proteins were counted. The separated proteins are going to be identified by peptide mass fingerprinting. However, due to the lack of complete genome sequence data only eight proteins were unambiguously identified. Among them, acid phosphatase and the most basic isoform of a hypothetical 23 kDa protein are characteristic only for virulent strains.
We have investigated the feasibility of identifying homologous proteins in whole tissue protein extracts of dog, mouse and rat hearts by comparison with our human heart two-dimensional (2-D) database. Samples of ventricular myocardial tissue from each of these species were coelectrophoresed with a human tissue sample. Gels were silver stained and patterns were analysed using PDQUEST. The number of proteins comigrating with human proteins was 301, 201 and 356 for the dog, mouse and rat, respectively. In the dog pattern, 33 of these comigrating proteins were tentatively identified from the similarity between their migration properties and those of known human proteins. Twenty-nine such proteins were identified in the mouse pattern while 30 comigrating rat proteins were identified. While these tentative identifications require confirmation, we feel that this technique offers a useful shortcut in the characterisation of proteins present in similar tissue samples from different species and avoids the necessity for duplicating laborious procedures, such as protein microsequencing, otherwise used in the identification of these proteins in each species.
High-resolution two-dimensional sodium dodecyl sulfate-polyacrylamide (2D-SDS) gel electrophoresis combined with computerized analysis of gel images was used to construct and analyze protein data-bases for two stages of preimplantation mouse embryogenesis, the compacted eight-cell stage and the fully expanded blastocyst stage. These stages were chosen for their ease in identification of multiple synchronous embryos. Synchronous cohorts of 30-50 embryos were labelled with L-[35S]methionine for 2 hr. The embryos were then lysed in 30 microliters hot SDS sample buffer, and the lysates were stored at -80 degrees C until the gels were run. Five replicates were run for eight-cell embryos, and four for blastocyst-stage embryos. The samples were processed for 2D gel electrophoresis and fluorography; multiple exposures were made. Gel images were analyzed using the PDQUEST system, and databases were constructed. Analysis of the databases for both developmental stages showed high reproducibility of protein spots in multiple gel images. Of 1,674 total spots in eight-cell embryo standards, > 79% of spots had a percentage error (S.E.M./average) < 50%, and > 45% had a percentage error < 30%. Similarly, of 1,653 total spots in blastocyst-stage embryo standards, 74% of spots had a percentage error < 50%, and approximately 47% of spots had a percentage error < 30%. Forty-three spots (approximately 3% of the total spots) were found to be detected only in the eight-cell stage, while 75 spots were detected solely in the blastocyst stage. Sixty-nine proteins showed a greater than threefold increase in isotope incorporation from the eight-cell to the blastocyst stage, with a percentage error < 50% in both the eight-cell and the blastocyst stages. In contrast, 41 of the proteins showed a decrease during this period. Analysis of the protein databases described in this study has allowed us to document the overall quantitative changes in proteins from the compacted eight-cell stage to the blastocyst stage of mouse preimplantation development. These data-bases provide a valuable tool for further detailed quantitative analysis of specific proteins associated with developmental events. In addition they will permit analysis of the effects of environmental factors, such as growth factors, on early embryo development.
The liver is composed of a variety of cells that form a functional unit involved in uptake, synthesis, metabolism, and secretion. Until recently, most studies examining liver function did not analyze the specific proteins expressed or functions performed by the multiple individual cell types that constitute the hepatic mass. In the last decade, novel isolation methods have been developed that allow the purification of liver cell populations highly enriched in one type of liver cell. Here, we present a detailed two-dimensional (2-D) protein map of rat bile duct epithelial cells (i.e., cholangiocytes) using a recently developed isolation procedure. In addition, we identify 27 major cholangiocyte proteins either by comparison to maps of known rat liver proteins (based on pI and Mr) or by tryptic digestion and microsequencing. Finally, we compare the relative abundance of individual proteins present in cholangiocytes to whole liver as well as hepatocyte-specific proteins. Our results show that cholangiocytes express a unique array of individual proteins. The cholangiocyte 2-D protein pattern is markedly different from that of isolated rat hepatocytes or whole rat liver, with high levels of proteins previously known to be expressed by cholangiocytes (e.g., cytokeratins, actins) as well as protein not previously demonstrated to be expressed at high levels (e.g., annexin V, selenium binding protein). We conclude that this cholangiocyte-derived, 2-D protein map will be a crucial resource for studies directed at our understanding of cholangiocyte physiology and pathobiology.
Nuclear Factor IV (NFIV) is a heterodimeric DNA-binding protein from HeLa cells, recognizing molecular ends and is identical to the autoantigenic target Ku. We have identified the two NFIV/Ku subunits, by comigration, in the 2D-gel database of transformed human amnion cell (AMA) proteins. We observed that the large subunit of NFIV/Ku consists of at least 3 charge variants that correspond to SSP IEFs 5705 (81.2 kDa, pI 5.74), 6707 (81.2 kDa, pI 5.67) and 6706 (81.9 kDa, pI 5.60) in the AMA catalogue. The relative amounts of the 2 major variants (IEFs 5705 and 6707) was dependent on the state of cell proliferation. Inhibition of DNA-synthesis by hydroxyurea also changed the relative levels of the variants, whereas aphidicolin or a thymidine block had no effect. These results suggest a possible role for NFIV/Ku in DNA replication.
The master two-dimensional (2-D) gel database of human keratinocytes currently lists 3154 cellular proteins (2224 isoelectric focusing, IEF; and 930 nonequilibrium pH gradient electrophoresis, NEPHGE), many of which correspond to post-translational modifications. 1082 polypeptides have been identified (protein name, organelle components, etc.) using a procedure 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, (v)vaccinia virus expression of full length cDNAs, and (vi) in vitro transcription/translation of full-length cDNAs. This year, special emphasis has been given to the identification of signal transduction components by using 2-D gel immunoblotting of crude keratinocyte lysates in combination with enhanced chemoluminescence (ECL) detection. Identified proteins 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. Ultimately, the aim of the comprehensive database is to gather--through a systematic study of ekeratinocytes--qualitative and quantitative information on proteins and their genes that may allow us to identify abnormal patterns of gene expression and to pinpoint signaling pathways and components affected in various skin diseases, cancer included.
Two-dimensional electrophoresis maps of human cerebrospinal fluid proteins are presented in the form of labeled images. 931 protein spots are identified in spinal fluid from a normal volunteer. Distinct spots that represent variants of the same protein, especially posttranslational modifications, are estimated to reduce the 931 different spots to < 200 different proteins. 248 spots of 29 protein groups have been identified and are indicated on enlargements of specific gel regions. The distribution of protein abundance, mass, charge and shape characteristics of these normal 931 spinal fluid spots are graphically profiled. Analysis of the shape parameter "vertical height: width ratio" reveals that a ratio > 3.5 correlates with glycoproteins, enabling their identification simply by image analysis. Proteins that are not present on the normal map, but appear in spinal fluid in patients with schizophrenia and Creutzfeldt-Jakob disease are illustrated on additional maps.
Weakly polar interactions between the side-chain aromatic rings and hydrogens of backbone amides (Ar-HN) are found in unique conformational regions. To characterize these conformational regions and to elucidate factors that determine the conformation of the Ar-HN interactions, four 4-ns molecular dynamics simulations were performed using four different low-energy conformations obtained from simulated annealing and one extended conformation of the model tripeptide Ac-Phe-Gly-Gly-NH-CH(3) as starting structures. The Ar(i)-HN(i+1) interactions were 4 times more frequent than were Ar(i)-HN(i+2) interactions. Half of the conformations with Ar(i)-HN(i+2) interactions also contained an Ar(i)-HN(i+1) interaction. The solvent access surface area of the Phe side chain and of the amide groups of Phe1, Gly2, and Gly3 involved in Ar-HN interactions was significantly smaller than in residues not involved in such interactions. The number of hydrogen bonds between the solvent and Phe1, Gly2, and Gly3 amide groups was also lower in conformations with Ar-HN interactions. For each trajectory, structures that contained Ar(i)-HN(i), Ar(i)-HN(i+1), and Ar(i)-HN(i+2) interactions were clustered on the basis of similarity of selected torsion angles. Attraction energies between the aromatic ring and the backbone amide in representative conformations of the clusters ranged from -1.98 to -9.24 kJ mol(-1) when an Ar-HN interaction was present. The most representative conformations from the largest clusters matched well with the conformations from the Protein Data Bank of Phe-Gly-Gly protein fragments containing Ar-HN interactions.
By proving the opportunity to visualize several hundred proteins at a time, two-dimensional (2-D) gel electrophoresis is an important tool for proteome research. In order to take advantage of the full potential of this technique for yeast studies, we have undertaken a systematic identification of yeast proteins resolved by this technique. We report here the identification of 92 novel protein spots on the yeast 2-D protein map. These identifications extend the number of protein spots identified on our yeast reference map to 401. These spots correspond to the products of 279 different genes. They have been essentially identified by three methods: gene overexpression, amino acid composition and mass spectrometry. These data can be accessed on the Yeast Protein Map server (htpp://www.ibgc.u-bordeaux2.fr/YPM).
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Currently available sequence alignment programs are generally not capable of detecting functional and structural homologs in the twilight zone of sequence similarity, i.e. when the sequence identity falls below about 25%. Here we attempt to detect such weak similarities using an approach based on a notion of protein sequence similarity radically different from that used in sequential alignment. The approach defines protein sequence dissimilarity (or distance) as a weighted sum of differences of compositional properties such as singlet and doublet amino acid composition, molecular weight, isoelectric point (protein property search or PropSearch). With PropSearch, either single sequences can be used for a database query, or multiple sequences can be merged into an "average" sequence reflecting the average composition of a protein family. First, we show that members of structural protein families have a low mutual PropSearch distance when the weights are optimized to discriminate maximally between structural families. Second, we demonstrate the results of database searches using the PropSearch method. Such searches are very rapid when scanning a preprocessed database and do not require alignments. In cases in which conventional alignment tools fail to detect similarities, PropSearch can be used to generate hypotheses about possible structural or functional relationships between a new sequence and sequences in the database.
We present a fast, discrete data-mining approach to the problem of finding kappa-tuples of correlated amino acid residues in protein sequence data. When sets of sequence-distant sites display high mutual information, they may bespeak important structural or functional features. Our novel methodology overcomes the limitations of previous methods which examined only single-residue features or pairwise interactions.