Two-dimensional electrophoresis resources available from ExPASy

A database for inventory of proteoform profiles: "2DE-pattern"

The human proteome is composed of a diverse and heterogeneous range of gene products/proteoforms/protein species. Because of the growing amount of information about proteoforms generated by different methods, we need a convenient approach to make an inventory of the data. Here, we present a database of proteoforms that is based on information obtained by separation of proteoforms using 2DE followed by shotgun ESI-LC-MS/MS. The database's principles and structure are described. The database is called "2DE-pattern" as it contains multiple isoform-centric patterns of proteoforms separated according to 2DE principles. The database can be freely used at http://2de-pattern.pnpi.nrcki.ru.

Proteomics and islet research

The complementary disciplines of genomics and proteomics offer better insights into the molecular mechanisms of diseases. While genomics hunts for defining our static genetic substrate, proteomics explores the structure and function of proteins expressed by a cell or tissue type under specified conditions. In the past decade, proteomics has been revolutionized by the application of techniques such as two-dimensional gel electrophoresis (2DGE), mass spectrometry (MS), and protein arrays. These techniques have tremendous potential for biomarker development, target validation, diagnosis, prognosis, and optimization of treatment in medical care, especially in the field of islet and diabetes research. This chapter will highlight the contributions of proteomic technologies toward the dissection of complex network of signaling molecules regulating islet function, the identification of potential biomarkers, and the understanding of mechanisms involved in the pathogenesis of diabetes.

Creating 2DE databases for the World Wide Web

With the development of the Internet, a growing number of two-dimensional electrophoresis (2DE) databases have become available (60 in 2009, for a total of 425 image maps). By linking the two components constituting 2DE databases, gel images and protein information, the active hypertext links provide a powerful tool for data integration, in addition to navigation from one database to another.This chapter shows how to prepare the necessary files to build a federated 2DE database in order to make it available over the Internet and how to further update it.

The World-2DPAGE Constellation to promote and publish gel-based proteomics data through the ExPASy server

Since it was launched in 1993, the ExPASy server has been and is still a reference in the proteomics world. ExPASy users access various databases, many dedicated tools, and lists of resources, among other services. A significant part of resources available is devoted to two-dimensional electrophoresis data. Our latest contribution to the expansion of the pool of on-line proteomics data is the World-2DPAGE Constellation, accessible at http://world-2dpage.expasy.org/. It is composed of the established WORLD-2DPAGE List of 2-D PAGE database servers, the World-2DPAGE Portal that queries simultaneously world-wide proteomics databases, and the recently created World-2DPAGE Repository. The latter component is a public standards-compliant repository for gel-based proteomics data linked to protein identifications published in the literature. It has been set up using the Make2D-DB package, a software tool that helps building SWISS-2DPAGE-like databases on one's own Web site. The lack of necessary informatics infrastructure to build and run a dedicated website is no longer an obstacle to make proteomics data publicly accessible on the Internet.

Using bioinformatic resources in the proteomic analysis of biological fluids

On-line databases targeted towards protein contents in biological fluids are scarce. Consequently, the investigation of proteins identified in a biological fluid most importantly depends on crosschecking information gathered from less specific resources. This review summarises the key databases and tools for collecting information on tissue specificity or expression profiles. It also emphasises the high connectivity between databases fruitfully used to corroborate and piece information together. Finally, selected issues related to appropriate bioinformatics tools in the context of clinical applications are succinctly discussed.

A two-dimensional electrophoresis reference map of human ovary

The ovary plays a central role in oogenesis and gonadal hormone secretion. Proteomic analysis is a valuable approach for gaining an increased understanding of the molecular nature of the ovary. In this work, two-dimensional electrophoresis for protein separation followed by matrix-assisted laser desorption/ionization mass spectrometry and database searches, identified 231 protein spots corresponding to 138 individual proteins that were found in gels representing both the follicular and luteal phases. The data were used to construct a database online (http://reprod.njmu.edu.cn/2d). The identified proteins were functionally classified into seven groups: (1) cell signaling/communication, (2) cell division, (3) gene/protein expression, (4) metabolism, (5) cell structure and motility, (6) cell/organism defense, and (7) unclassified. Among the proteins identified, 47% had not been previously reported in the human ovary. In addition, a number of disease-related proteins were identified in this protein map, including some cancer- and polycystic ovarian syndrome-related proteins. Two proteins with phosphorylation were verified by Western blot analysis. Comparison of protein abundance between follicular and luteal stages produced seven protein spots that had been identified in our database. This study provides a preliminary reference map of normal human ovary that will form a basis for comparative studies on normal and pathological conditions of the human ovary and may serve as a potential tool for clinical diagnosis, therapeutics, and prognosis.

The path to enlightenment: making sense of genomic and proteomic information

Whereas genomics describes the study of genome, mainly represented by its gene expression on the DNA or RNA level, the term proteomics denotes the study of the proteome, which is the protein complement encoded by the genome. In recent years, the number of proteomic experiments increased tremendously. While all fields of proteomics have made major technological advances, the biggest step was seen in bioinformatics. Biological information management relies on sequence and structure databases and powerful software tools to translate experimental results into meaningful biological hypotheses and answers. In this resource article, I provide a collection of databases and software available on the Internet that are useful to interpret genomic and proteomic data. The article is a toolbox for researchers who have genomic or proteomic datasets and need to put their findings into a biological context.

Expanding the proteome two-dimensional gel electrophoresis reference map of human renal cortex by peptide mass fingerprinting

Proteomics methodologies hold great promise in basic renal research and clinical nephrology. The classical approach for proteomic analysis couples two-dimensional gel electrophoresis (2-DE) with protein identification by mass spectrometry, to produce more global information regarding normal protein expression and alterations in different physiological and pathological states. In this report we have expanded the identification of proteins in the renal cortex, improving the previously published map to facilitate the study of different diseases affecting the human kidney. About 250 spots were analyzed by peptide mass fingerprinting, 89 proteins and 74 isoforms for some of them were identified and implemented in the normal human renal cortex 2-DE reference map. This more comprehensive view of the proteome of the human renal cortex could be of invaluable help to the differential proteomic display of urological diseases.

AGML Central: web based gel proteomic infrastructure

SUMMARY

AGML Central is a web-based open-source public infrastructure for dissemination of two-dimensional Gel Electrophoresis (2-DE) proteomics data in AGML format (Annotated Gel Markup Language). It includes a growing collection of converters from proprietary formats such as those produced by PDQUEST (BioRad), PHORETIX 2-D (Nonlinear Dynamics) and Melanie (GenBio SA). The resulting unifying AGML formatted entry, with or without the raw gel images, is optionally stored in a database for future reference. AGML Central was developed to provide a common platform for data dissemination and development of 2-DE data analysis tools. This resource responds to an increasing use of AGML for 2-DE public source data representation which requires automated tools for conversion from proprietary formats. Conversion and short-term storage is made publicly available, permanent storage requires prior registering. A JAVA applet visualizer was developed to visualize the AGML data with cross-reference links. In order to facilitate automated access a SOAP web service is also included in the AGML Central infrastructure.

AVAILABILITY

http://bioinformatics.musc.edu/agmlcentral.

Profiling of abundant proteins associated with dichlorodiphenyltrichloroethane resistance inDrosophila melanogaster

Dichlorodiphenyltrichloroethane (DDT) metabolism-based resistance in Drosophila melanogaster is a complex metabolic system associated with the transcription of detoxification related genes, ion transport, lipid and sugar metabolism pathways. However, little is known about the differences regarding the proteome of field- and laboratory-selected resistant Drosophila genotypes. We investigated the impact of DDT resistance in the abundant proteome of field- and laboratory- selected resistant Drosophila using a two-dimensional gel electrophoresis DDT reference map. Proteomic profiling was performed in two DDT susceptible genotypes (Canton-S and 91-C) and three DDT resistant lines (Rst(2)DDT(91-R), Rst(2)DDT(Wisconsin) and Rst(2)DDT(Hikone-R)). Protein spots were stained with Coomassie blue and compared using PDQuest software. Selected protein spots were cut out and analyzed using matrix assisted laser desorption-time of flight mass spectrometry. Querying the NCBInr. 10.21.2003 database with mass spectrometric data yielded the identity of 21 differentially translated proteins in Rst(2)DDT(91-R), Rst(2)DDT(Wisconsin) and Canton-S representing proteins putatively involved in biochemical pathways such as glycolysis and gluconeogenesis, the pentose phosphate pathway, the Krebs cycle and fatty acid oxidation. We hypothesize that both strategies are aimed to use of the pentose phosphate pathway to increase glucose utilization while Rst(2)DDT(91-R) relies primarily on glycolysis to produce reduced NADP and increase DDT detoxification. DDT exposure in Canton-S induced six proteins, while four proteins were repressed in Rst(2)DDT(Hikone-R). Our data suggest that insecticide resistance appears to impact different metabolic pathways in Drosophila genotypes selected with the same pesticide (DDT).

Proteomics based on high-efficiency capillary separations

Identifying and quantifying in a high throughput manner the proteins expressed by cells, tissues or an organism provides the basis for understanding the functions of its constituents at a "systems" level. As a result, proteome analysis has increasingly become the focus of significant interest and research over the past decade. This is especially true following the recent stunning achievements in genomics analyses. However, unlike the static genome, the complexities and dynamism of the proteome present significant analytical challenges and demand highly efficient separations and detection technologies. A number of recent technological advancements have been in direct response to these challenges. Currently, strategically mated combinations of sophisticated separations techniques and advanced mass spectrometric detection represent the best approach to addressing the intricacies of the proteome. Liquid-phase separations, often within capillaries, are increasingly recognized as the best separations technique for this approach. In combination on-line with mass spectrometry, liquid-phase separations provide the improved analytical sensitivity, sample throughput, and quantitation capabilities necessitated by the multifaceted problems within proteomics analyses. This review focuses primarily on current high-efficiency capillary separations techniques, including both capillary liquid chromatography and capillary electrophoresis, applied to the analysis of complex proteomic samples. We emphasize developments at our laboratory and illustrate technical advances that attempt to review the role of separations within the broader context of a state-of-the-art integrated proteomics effort.

Differential expression of proteins in renal cortex and medulla: a proteomic approach

BACKGROUND

Western blotting has previously been used to identify changes in protein expression in renal tissue. However, only a few proteins can be studied in each experiment by Western blot. We have used proteomic tools to construct protein maps of rat kidney cortex and medulla.

METHODS

Expression of proteins was determined by silver stain after two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). Protein spots were excised and digested with trypsin. Peptide masses were identified by MALDI-TOF mass spectrometry. The Mascot search engine was used to analyze the peptide masses and identify the proteins.

RESULTS

Seventy-two proteins were identified (54 unique proteins) out of approximately 1000 spots visualized on each gel. Most of the spots were expressed both in cortex and medulla. Of the identified proteins, three were expressed only in medulla and one only in cortex. Nine proteins were expressed in both regions but to a greater extent in cortex and three proteins were expressed more in medulla. Differential expression was confirmed for three proteins by Western blot.

CONCLUSIONS

A large group of proteins and their relative expression levels from cortical and medullary portions of rat kidneys were found. Sixteen proteins are differentially expressed. Proteomics can be used to identify differential expression of proteins in the kidney on a large scale. Proteomics should be useful to detect changes in renal protein expression in response to a large range of physiological and pathophysiological stimuli.

Web-based two-dimensional database of Saccharomyces cerevisiae proteins using immobilized pH gradients from pH 6 to pH 12 and matrix-assisted laser desorption/ionization-time of flight mass spectrometry

An image based two-dimensional (2-D) reference map of very alkaline yeast cell proteins was established by using immobilized pH gradients (IPG) up to pH 12 (IPG 6-12, IPG 9-12 and IPG 10-12) for 2-D electrophoresis and by using matrix-assisted laser desorption/ionization-time of flight mass spectrometry peptide mass fingerprinting for spot identification. Up to now 106 proteins with theoretical isoelectric points up to pH 11.15 and molecular mass between 7.5 and 115 kDa were localized and identified. Additionally, due to the improved resolution of steady-state isoelectric focussing with IPGs, even low copy number proteins with codon bias below 0.02 were detected and identified.

Proteome database of hepatocellular carcinoma

Hepatocellular carcinoma (HCC or hepatoma) is the most common primary cancer of the liver. Persistent viral infection by the hepatic B or C virus is probably the most important cause of HCC worldwide. It is responsible for approximately one million deaths each year, predominantly in the underdeveloped and developing countries, but its incidence is also on the rise in the developed countries. For most patients suffering from HCC, long-term survival is rare, as they are presented late and are often unsuitable for curative treatment. Thus there is great interest to identify novel HCC diagnostic markers for early detection of the disease, and tumour specific associated proteins as potential therapeutic targets in the treatment of HCC. Proteome analyses of HCC cell lines and liver tumour tissues should facilitate the screening and discovery of these HCC proteins. The creation of a comprehensive HCC proteome database would be an important first step towards achieving this goal. This review presents an update of the two-dimensional electrophoresis proteome database of the cell line, HCC-M, which is also now freely accessible through the World Wide Web at http://proteome.btc.nus.edu.sg/hccm/.

Bioinformatics in proteomics

Several genome sequencing projects have recently been completed and the majority of human coding regions have been sequenced. In the next step many of the further studies will concentrate on proteins. Proteomics methods are essential for studying protein expression, activity, regulation and modifications. Bioinformatics is an integral part of proteomics research. The recent developments and applications in proteomics are discussed including mass spectrometry data analysis and interpretation, analysis and storage of the gel images to databases, gel comparison, and advanced methods to study e.g. protein co-expression, protein-protein interactions, as well as metabolic and cellular pathways. The significance of informatics in proteomics will gradually increase because of the advent of high-throughput methods relying on powerful data analysis.

Annexin-1 is abnormally expressed in fragile X syndrome: two-dimensional electrophoresis study in lymphocytes

The search for targets of FMRP (the product of FMR1, the mutated gene in Fragile X syndrome) has predominantly focused on identifying transcripts that are regulated by this RNA-binding protein. This study introduces the use of two-dimensional gel electrophoresis (2D PAGE) as a novel approach for demonstrating changes in protein synthesis secondary to FMRP deficit. By a standardized 2D PAGE protocol, we studied leukocyte homogenates from 30 males with different patterns of FMR1 mutation and different levels of FMRP. Samples from these subjects were compared to those of 12 normal control males and eight subjects with other mental retardation-associated conditions (i.e., Rett and Down syndromes). We found an abnormal pattern of a major leukocytic protein, identified by 2D PAGE datasets and immunoblotting as annexin-1 (Anx-1). Anx-1 appeared in subjects with Fragile X as multiple rather than 1-2 spots, at approximately 37 kd, in the pI 5-7 range. The presence and intensity of this Anx-1 pattern was relatively independent of Anx-1 levels and inversely related to total and high MW FMRP immunoreactivities. Based on the 2D PAGE pattern, without obvious MW change, and on dephosphorylation assays, we concluded that Anx-1's abnormality represents an aberrant posttranslational modification other than phosphorylation. Comparisons of our data with published cytoskeletal protein 2D profiles suggest that Anx-1 may be abnormally acetylated and, consequently, incapable of establishing appropriate N-terminal protein-protein interactions. In addition to its peripheral anti-inflammatory function, Anx-1 mediates glucocorticoid inhibition of the hypothalamo-pituitary-adrenal axis. As the latter seems to be disrupted in Fragile X syndrome, the reported Anx-1 abnormality could be responsible for some aspects of the Fragile X neurobehavioral phenotype. Our data also emphasize the feasibility of using 2D PAGE for disclosing molecular abnormalities in Fragile X and other genetic disorders.

Two-dimensional database of mouse liver proteins. An update

We updated the two-dimensional protein database for mouse liver. Microsomal and cytosolic fractions of the liver proteins from male mice were separated by two-dimensional electrophoresis. The proteins were identified by Matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS) on the basis of peptide mass fingerprinting, following in-gel digestion with trypsin and matching with the theoretical peptide masses of all known proteins from all species. Approximately 5800 spots, excised from 14 two-dimensional gels, were analyzed which resulted in the identification of about 2500 proteins that were the products of 328 different genes. The database includes 112 newly identified gene products. The fractionation prior to two-dimensional electrophoresis was essential for the detection of the new proteins, 55% of which were found in the microsomal and 35% in the cytosolic fraction. The more frequently identified proteins in the various gels were heat shock proteins, house-keeping enzymes, such as ATP synthase chains, disulfide isomerase, and structural proteins, such as tropomyosin. About 45% of the identified proteins were detected 1-3 times, 45% 4-9 times, and the rest 10 or more times. Most proteins were represented by many spots. In average, about 18-20 spots were detected per gene product.

The establishment of a human liver nuclei two-dimensional electrophoresis reference map

This short communication describes the establishment of a two-dimensional electrophoresis (2-DE) reference map of nuclear proteins isolated from human liver. The human liver nuclei 2-DE reference map contains 1497 spots. In an initial identification study using peptide mass fingerprinting as a means of protein identification we were able to identify 26 spots corresponding to 15 different proteins. The human liver nuclei 2-DE reference map is now included in the SWISS-2DPAGE database, which can be accessed through the ExPASy server (http://www.expasy.ch/ch2d/).