Two-dimensional gel electrophoresis: recent advances in sample preparation, detection and quantitation

A strength of two-dimensional polyacrylamide gel electrophoresis (2D PAGE) is its ability to resolve and investigate the abundance of several thousand proteins in a single sample. This enables identification of the major proteins in a tissue or subcellular fraction by mass spectrometric methods. In addition, 2D PAGE can be used to compare quantities of proteins in related samples, such as those from altered environments or from mutant and wild type, thus allowing the response of classes of proteins to be determined. Those proteins showing a correlated difference in expression may participate in related processes, and this subsequently helps to define protein function. Although there are many limitations of the 2D gel technology that mean it will never be comprehensive in protein coverage, its use for the identification of relatively abundant proteins is now widespread. However, there are still surprisingly few examples of quantitative analysis of changes in protein abundance. In this review we highlight recent advances towards true quantitative analysis of 2D gels that will lead to better prediction of protein function. Despite the development of promising alternatives, 2D PAGE is likely to remain in extensive use for the foreseeable future, because the technology is now simple and readily available to many laboratories.     

Data standards for proteomics: mitochondrial two-dimensional polyacrylamide gel electrophoresis data as a model system

Proteomics has emerged as a major discipline that led to a re-examination of the need for consensus and a nationally sanctioned set of proteomics technology standards. Such standards for databases and data reporting may be applied to two-dimensional polyacrylamide gel electrophoresis (2D PAGE) technology as a pilot project for assessing global and national needs in proteomics, and the role of the National Institute of Standards and Technology (NIST) and other similar standards and measurement organizations. The experience of harmonizing the heterogeneous data included in the Protein Data Bank (PDB) provides a paradigm for technology in an area where significant heterogeneity in technical detail and data storage has evolved. Here we propose an approach toward standardizing mitochondrial 2D PAGE data in support of a globally relevant proteomics consensus.     

Comparative proteome analysis of Chlamydia trachomatis serovar A, D and L2

Chlamydia trachomatis represents a group of human pathogenic obligate intracellular and gram-negative bacteria. The genome of C. trachomatis D comprises 894 open reading frames (ORFs). In this study the global expression of genes in C. trachomatis A, D and L2, which are responsible for different chlamydial diseases, was investigated using a proteomics approach. Based on silver stained two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), gels with purified elementary bodies (EB) and auto-radiography of gels with 35S-labeled C. trachomatis proteins up to 700 protein spots were detectable within the range of the immobilized pH gradient (IPG) system used. Using mass spectrometry and N-terminal sequencing followed by database searching we identified 250 C. trachomatis proteins from purified EB of which 144 were derived from different genes representing 16% of the ORFs predicted from the C. trachomatis D genome and the 7.5 kb C. trachomatis plasmid. Important findings include identification of proteins from the type III secretion apparatus, enzymes from the central metabolism and confirmation of expression of 25 hypothetical ORFs and five polymorphic membrane proteins. Comparison of serovars generated novel data on genetic variability as indicated by electrophoretic variation and potentially important examples of serovar specific differences in protein abundance. The availability of the complete genome made it feasible to map and to identify proteins of C. trachomatis on a large scale and the integration of our data in a 2-D PAGE database will create a basis for post genomic research, important for the understanding of chlamydial development and pathogenesis.     

Targeted genome engineering via zinc finger nucleases

With the development of next-generation sequencing technology, ever-expanding databases of genetic information from various organisms are available to researchers. However, our ability to study the biological meaning of genetic information and to apply our genetic knowledge to produce genetically modified crops and animals is limited, largely due to the lack of molecular tools to manipulate genomes. Recently, targeted cleavage of the genome using engineered DNA scissors called zinc finger nucleases (ZFNs) has successfully supported the precise manipulation of genetic information in various cells, animals, and plants. In this review, we will discuss the development and applications of ZFN technology for genome engineering and highlight recent reports on its use in plants.     

The KEGG databases at GenomeNet

The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order functional meanings and utilities of the cell or the organism from its genome information. KEGG consists of the PATHWAY database for the computerized knowledge on molecular interaction networks such as pathways and complexes, the GENES database for the information about genes and proteins generated by genome sequencing projects, and the LIGAND database for the information about chemical compounds and chemical reactions that are relevant to cellular processes. In addition to these three main databases, limited amounts of experimental data for microarray gene expression profiles and yeast two-hybrid systems are stored in the EXPRESSION and BRITE databases, respectively. Furthermore, a new database, named SSDB, is available for exploring the universe of all protein coding genes in the complete genomes and for identifying functional links and ortholog groups. The data objects in the KEGG databases are all represented as graphs and various computational methods are developed to detect graph features that can be related to biological functions. For example, the correlated clusters are graph similarities which can be used to predict a set of genes coding for a pathway or a complex, as summarized in the ortholog group tables, and the cliques in the SSDB graph are used to annotate genes. The KEGG databases are updated daily and made freely available (http://www.genome.ad.jp/kegg/).     

DNA Chip technologies

The genome sequencing project has generated and will continue to generate enormous amounts of sequence data. Since the first complete genome sequence of bacteriumHacmophilus influenzac was published in 1995, the complete genome sequences of 2 eukaryotic and about 22 prokaryotic organisms have been determined. Given this ever-increasing amounts of sequence information, new strategies are necessary to efficiently pursue the next phase of the genome project—the elucidation of gene expression patterns and gene product function on a whole genome scale. In order to assign functional information to the genome sequence, DNA chip technology was developed to efficiently identify the differential expression pattern of independent biological samples. DNA chip provides a new tool for genome expression analysis that may revolutionize many aspects of human life including new drug discovery and human disease diagnostics.     

Identity crisis? The need for systematic gene IDs

Recent years have seen an explosion in the availability of protozoan pathogen genome sequences. Although data regarding the underlying genome sequence remain relatively stable after the initial draft, understanding of specific gene function is increasing rapidly. This dichotomy is reflected in the relative stability of systematic gene identifiers (SysIDs(*)) in genome sequence databases, as compared to evolving and/or conflicting gene and gene product names. GenBank/EMBL/DDBJ accession numbers are important, but most protozoan parasite researchers use organism-based databases such as EuPathDB or GeneDB as their immediate resource for gene-based information because they not only provide sequence information but also functional information and links to references. Reference to SysIDs therefore provides a valuable bridge to this repository of information.     

General introduction to the importance of genomics in food biotechnology and nutrition

Knowledge of the human genome and other genomes, the selection of health-beneficial components, information and communication technology (ICT)-driven plant cultivation and small-scale processes will together change the agrofoods business from a rather low-tech to a high-tech (functional) foods business. ICT will provide consumers with information that in combination with their private genetic passport may be used to select those functional foods that are most beneficial for them.     

How repeated retroelements format genome function

Genomes operate as sophisticated information storage systems. Generic repeated signals in the DNA format expression of coding sequence files and organize additional functions essential for genome replication and accurate transmission to progeny cells. Retroelements comprise a major fraction of many genomes and contain a surprising diversity of functional signals. In this article, we summarize some features of the taxonomic distribution of retroelements, especially mammalian SINEs, tabulate functional roles documented for different classes of retroelements, and discuss their potential roles as genome organizers. In particular, the fact that certain retroelements serve as boundaries for heterochromatin domains and provide a significant fraction of scaffolding/matrix attachment regions (S/MARs) suggests that the reversed transcribed component of the genome plays a major architectonic role in higher order physical structuring. Employing an information science model, the "functionalist" perspective on repetitive DNA leads to new ways of thinking about the systemic organization of cellular genomes and provides several novel possibilities involving retroelements in evolutionarily significant genome reorganization.     

The proteome of dissimilatory metal-reducing microorganism Geobacter sulfurreducens under various growth conditions

The proteome of Geobacter sulfurreducens, a model for the Geobacter species that predominate in many Fe(III)-reducing subsurface environments, was characterized with ultra high-pressure liquid chromatography and mass spectrometry using accurate mass and time (AMT) tags as well as with more traditional two-dimensional polyacrylamide gel electrophoresis (2-D PAGE). Cells were grown under six different growth conditions in order to enhance the potential that a wide range of genes would be expressed. The AMT tag approach was able to identify a much greater number of proteins than could be detected with the 2-D PAGE approach. With the AMT approach over 3,000 gene products were identified, representing about 90% of the total predicted gene products in the genome. A high proportion of predicted proteins in most protein role categories were detected; the highest number of proteins was identified in the hypothetical protein role category. Furthermore, 91 c-type cytochromes of 111 predicted genes in the G. sulfurreducens genome were identified. Differences in the abundance of cytochromes and other proteins under different growth conditions provided information for future functional analysis of these proteins. These results demonstrate that a high percentage of the predicted proteins in the G. sulfurreducens genome are produced and that the AMT tag approach provides a rapid method for comparing differential expression of proteins under different growth conditions in this organism.     

Protein expression analysis ofChlamydia pneumoniae persistence by combined surface-enhanced laser desorption ionization time-of-flight mass spectrometry and two-dimensional polyacrylamide gel electrophoresis

The aim of this study was to examine the protein expression profiles of persistentChlamydia pneumoniae by two-dimensional polyacrylamide gel electrophoresis (2D PAGE) and surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Although 2D PAGE is still the method of choice for separating and detecting components of complex protein mixtures, it has several distinct disadvantages; i.e., being labor-intensive and having a bias toward proteins within the dynamic range of the gel condition. Hence, SELDI-TOF-MS technology was used to complement 2D PAGE.C. pneumoniae-infected HEp2 cells were treated with or without IFN-γ, and protein expression profiles were determined at 48 h postinfection (hpi). Unfractionated monolayers were also used for protein profiling by SELDI-TOF, using two different chip surface types: weak cation exchanger and hydrophobic surface. Under IFN-γ-induced persistence,C. pneumoniae expresses an altered protein expression profile. Twenty chlamydial proteins showed differential regulatory patterns by SELDI-TOF-MS, two of which, HSP-70 cofactor, and a hypothetical protein, were identified by 2D PAGE and mass spectrometry. Two additional proteins, phosphatidylserine decarboxylase and 30S ribosomal protein S17, were exclusively identified by SELDI TOF-MS analysis, as these were not present in sufficient quantity for detection by 2D PAGE. We propose that a combination of 2D-PAGE and SELDI-TOF-MS may complement the disadvantages of each technique alone and may provide a rapid and precise screening technique.     

Chasing the dream: plant EST microarrays

DNA microarray technology is poised to make an important contribution to the field of plant biology. Stimulated by recent funding programs, expressed sequence tag sequencing and microarray production either has begun or is being contemplated for most economically important plant species. Although the DNA microarray technology is still being refined, the basic methods are well established. The real challenges lie in data analysis and data management. To fully realize the value of this technology, centralized databases that are capable of storing microarray expression data and managing information from a variety of sources will be needed. These information resources are under development and will help usher in a new era in plant functional genomics.     

De novo identification of cell-type specific antibody-antigen pairs by phage display subtraction. Isolation of a human single chain antibody fragment against human keratin 14.

The aim of this study was to identify novel antibodies directed against cytosolic keratinocyte-specific antigens from a phage display antibody repertoire by using phage display subtraction. Phage display is a method of displaying foreign molecules on the surface of filamentous bacteriophage particles. It allows the interaction between two cognate molecules to be analysed through affinity selections. Recently, large repertoires of phage displayed human antibody fragments have been constructed. From such repertoires, antibodies can be obtained in vitro without the need for immunization or the hybridoma technology. A novel subtractive strategy for selecting antibodies from phage libraries was applied. Phage antibodies were selected against immobilized crude lysates of cultured human keratinocytes, the target antigens being unknown beforehand. A competing cell lysate was used to reduce retrieval of phage antibodies with specificities to commonly non-differentially expressed antigens. A monoclonal single chain fragment variable (scFv) with specificity for crude lysates of cultured human keratinocytes was identified as demonstrated by ELISA assays and immunoblotting analysis. The cognate keratinocyte antigen was shown to be keratin 14 (K14) by using immunoblotting based on 2D PAGE and a corresponding 2D PAGE protein database. In accordance with the expected tissue localization of K14, the identified scFv stained the basal layer of human epidermis by indirect immunofluorescence analysis. Starting with crude cell lysates, phage display subtraction in combination with 2D PAGE and 2D PAGE protein databases can be used to identify antibody-antigen pairs that characterize a specific cell type.     

chroGPS,a global chromatin positioning system for the functional analysis and visualization of the epigenome

Development of tools to jointly visualize the genome and the epigenome remains a challenge. chroGPS is a computational approach that addresses this question. chroGPS uses multidimensional scaling techniques to represent similarity between epigenetic factors, or between genetic elements on the basis of their epigenetic state, in 2D/3D reference maps. We emphasize biological interpretability, statistical robustness, integration of genetic and epigenetic data from heterogeneous sources, and computational feasibility. Although chroGPS is a general methodology to create reference maps and study the epigenetic state of any class of genetic element or genomic region, we focus on two specific kinds of maps: chroGPS^factors, which visualizes functional similarities between epigenetic factors, and chroGPS^genes, which describes the epigenetic state of genes and integrates gene expression and other functional data. We use data from the modENCODE project on the genomic distribution of a large collection of epigenetic factors in Drosophila, a model system extensively used to study genome organization and function. Our results show that the maps allow straightforward visualization of relationships between factors and elements, capturing relevant information about their functional properties that helps to interpret epigenetic information in a functional context and derive testable hypotheses.     

Use of protein-interaction maps to formulate biological questions

Protein-interaction mapping approaches generate functional information for large numbers of genes that are predicted from complete genome sequences. This information, released as databases available on the Internet, is likely to transform the way biologists formulate and then address their questions of interest.     

中间偃麦草染色体组构成的同工酶研究

应用聚丙烯酰胺凝胶电泳,研究了带有不同染色体组的各种小麦和中间偃麦草的酯酶、苹果酸脱氢酶、酸性或碱性磷酸酶同工酶的酶谱。通过对各酶谱与染色体组的对比分析表明,中间偃麦草不含与小麦B组或D组同源的染色体,而可能含有两组分别与小麦A组和提莫菲维小麦G组有些同源性的染色体。中间偃麦草的染色体组构成可用E_(A1)E_(A2)N_G或E_(G1)E_(G2)N_A表示。     

Genomic Portraits of the Nervous System in Health and Disease

As the human genome project moves toward its goal of sequencing the entire human genome, gene expression profiling by DNA microarray technology is being employed to rapidly screen genes for biological information. In this review, we will introduce DNA microarray technology, outline the basic experimental paradigms and data analysis methods, and then show with some examples how gene expression profiling can be applied to the study of the central nervous system in health and disease.     

The European Renal Genome Project

Rapid progress in genome research creates a wealth of information on the functional annotation of mammalian genome sequences. However, as we accumulate large amounts of scientific information we are facing problems of how to integrate and relate the data produced by various genomic approaches. Here, we propose a novel concept of an organ atlas where diverse data from expression maps to histological findings to mutant phenotypes can be queried, compared and visualized in the context of a three dimensional reconstruction of the organ. We will seek proof of concept for the organ atlas by elucidating genetic pathways involved in development and pathophysiology of the kidney. Such a kidney atlas may provide a paradigm for a new systems-biology approach in functional genome research aimed at understanding the genetic basis of organ development, physiology and disease.