Insights into environmental bioremediation by microorganisms through functional genomics and proteomics

Environmental pollutants in the soil are a major concern worldwide. Bioremediation mediated by microorganisms is a highly promising technology that is environmentally friendly, safe, and effective. However, incomplete biological information regarding the cellular responses in many microbial communities restricts progress in the site-specific mineralization process. The application of proteomics in environmental bioremediation research provides a global view of the protein compositions of the microbial cells and offers a promising approach to address the molecular mechanisms of bioremediation. With the combination of proteomics, functional genomics provide an insight into global metabolic and regulatory networks that can enhance the understanding of gene functions. This article deals with the applications of functional genomics and proteomics to dissect the cellular responses to environmental stimuli, such as stress response, induction and expressions of regulatory proteins/enzymes in response to aromatic hydrocarbons and heavy metals. An understanding of the growth conditions governing the expression of the proteome (for example, enzymes and regulatory proteins of aromatic hydrocarbon degradation, energy generation pathways, transport and stress-related proteins) in a specific environment is essential for developing rational strategies for successful bioremediation.     

Analysis of the Secretomes of Paracoccidioides Mycelia and Yeast Cells

Paracoccidioides, a complex of several phylogenetic species, is the causative agent of paracoccidioidomycosis. The ability of pathogenic fungi to develop a multifaceted response to the wide variety of stressors found in the host environment is important for virulence and pathogenesis. Extracellular proteins represent key mediators of the host-parasite interaction. To analyze the expression profile of the proteins secreted by Paracoccidioides, Pb01 mycelia and yeast cells, we used a proteomics approach combining two-dimensional electrophoresis with matrix-assisted laser desorption ionization quadrupole time-of-flight mass spectrometry (MALDI-Q-TOF MS/MS). From three biological replicates, 356 and 388 spots were detected, in mycelium and yeast cell secretomes, respectively. In this study, 160 non-redundant proteins/isoforms were indentified, including 30 and 24 proteins preferentially secreted in mycelia and yeast cells, respectively. In silico analyses revealed that 65% of the identified proteins/isoforms were secreted primarily via non-conventional pathways. We also investigated the influence of protein export inhibition in the phagocytosis of Paracoccidioides by macrophages. The addition of Brefeldin A to the culture medium significantly decreased the production of secreted proteins by both Paracoccidioides and internalized yeast cells by macrophages. In contrast, the addition of concentrated culture supernatant to the co-cultivation significantly increased the number of internalized yeast cells by macrophages. Importantly, the proteins detected in the fungal secretome were also identified within macrophages. These results indicate that Paracoccidioides extracellular proteins are important for the fungal interaction with the host.     

Candida albicans, a distinctive fungal model for cellular aging study

The unicellular eukaryotic organisms represent the popular model systems to understand aging in eukaryotes. Candida albicans, a polymorphic fungus, appears to be another distinctive unicellular aging model in addition to the budding yeast Saccharomyces cerevisiae and fission yeast Schizosaccharomyces pombe. The two types of Candida cells, yeast (blastospore) form and hyphal (filamentous) form, have similar replicative lifespan. Taking the advantage of morphologic changes, we are able to obtain cells of different ages. Old Candida cells tend to accumulate glycogen and oxidatively damaged proteins. Deletion of the SIR2 gene causes a decrease of lifespan, while insertion of an extra copy of SIR2 extends lifespan, indicating that like in S. cerevisiae, Sir2 regulates cellular aging in C. albicans. Interestingly, Sir2 deletion does not result in the accumulation of extra-chromosomal rDNA molecules, but influences the retention of oxidized proteins in mother cells, suggesting that the extra-chromosomal rDNA molecules may not be associated with cellular aging in C. albicans. This novel aging model, which allows efficient large-scale isolation of old cells, may facilitate biochemical characterizations and genomics/proteomics studies of cellular aging, and help to verify the aging pathways observed in other organisms including S. cerevisiae.     

Proteomic studies in plants

Proteomics is a leading technology for the high-throughput analysis of proteins on a genome-wide scale. With the completion of genome sequencing projects and the development of analytical methods for protein characterization, proteomics has become a major field of functional genomics. The initial objective of proteomics was the large-scale identification of all protein species in a cell or tissue. The applications are currently being extended to analyze various functional aspects of proteins such as post-translational modifications, protein-protein interactions, activities and structures. Whereas the proteomics research is quite advanced in animals and yeast as well as Escherichia coli, plant proteomics is only at the initial phase. Major studies of plant proteomics have been reported on subcellular proteomes and protein complexes (e.g. proteins in the plasma membranes, chloroplasts, mitochondria and nuclei). Here several plant proteomics studies will be presented, followed by a recent work using multidimensional protein identification technology (MudPIT).     

Plant proteome changes under abiotic stress--contribution of proteomics studies to understanding plant stress response

Plant acclimation to stress is associated with profound changes in proteome composition. Since proteins are directly involved in plant stress response, proteomics studies can significantly contribute to unravel the possible relationships between protein abundance and plant stress acclimation. In this review, proteomics studies dealing with plant response to a broad range of abiotic stress factors--cold, heat, drought, waterlogging, salinity, ozone treatment, hypoxia and anoxia, herbicide treatments, inadequate or excessive light conditions, disbalances in mineral nutrition, enhanced concentrations of heavy metals, radioactivity and mechanical wounding are discussed. Most studies have been carried out on model plants Arabidopsis thaliana and rice due to large protein sequence databases available; however, the variety of plant species used for proteomics analyses is rapidly increasing. Protein response pathways shared by different plant species under various stress conditions (glycolytic pathway, enzymes of ascorbate-glutathione cycle, accumulation of LEA proteins) as well as pathways unique to a given stress are discussed. Results from proteomics studies are interpreted with respect to physiological factors determining plant stress response. In conclusion, examples of application of proteomics studies in search for protein markers underlying phenotypic variation in physiological parameters associated with plant stress tolerance are given.     

植物SNARE 蛋白的结构与功能

在真核生物细胞囊泡运输过程中的膜融合主要是由SNARE蛋白介导的, SNARE蛋白的结构高度保守。研究发现, 植物中的SNARE蛋白促进植物细胞板形成, 能与离子通道蛋白相互作用, 有利于植物的正常生长发育, 能提高植物的抗病性及参与植物的向重力性作用。应用基因组学和蛋白质组学技术结合细胞学水平上的分析方法有助于深入揭示植物SNARE蛋白家族成员的功能, 明确SNARE蛋白在信号转导途径中的作用, 阐明动植物免疫系统的区别和联系。     

Integrating a functional proteomic approach into the target discovery process

Functional proteomics is a promising technique for the rational identification of novel therapeutic targets by elucidation of the function of newly identified proteins in disease-relevant cellular pathways. Of the recently described high-throughput approaches for analyzing protein-protein interactions, the yeast two-hybrid (Y2H) system has turned out to be one of the most suitable for genome-wide analysis. However, this system presents a challenging technical problem: the high prevalence of false positives and false negatives in datasets due to intrinsic limitations of the technology and the use of a high-throughput, genetic assay. We discuss here the different experimental strategies applied to Y2H assays, their general limitations and advantages. We also address the issue of the contribution of protein interaction mapping to functional biology, especially when combined with complementary genomic and proteomic analyses. Finally, we illustrate how the combination of protein interaction maps with relevant functional assays can provide biological support to large-scale protein interaction datasets and contribute to the identification and validation of potential therapeutic targets.     

Integrative analysis of the mitochondrial proteome in yeast

In this study yeast mitochondria were used as a model system to apply, evaluate, and integrate different genomic approaches to define the proteins of an organelle. Liquid chromatography mass spectrometry applied to purified mitochondria identified 546 proteins. By expression analysis and comparison to other proteome studies, we demonstrate that the proteomic approach identifies primarily highly abundant proteins. By expanding our evaluation to other types of genomic approaches, including systematic deletion phenotype screening, expression profiling, subcellular localization studies, protein interaction analyses, and computational predictions, we show that an integration of approaches moves beyond the limitations of any single approach. We report the success of each approach by benchmarking it against a reference set of known mitochondrial proteins, and predict approximately 700 proteins associated with the mitochondrial organelle from the integration of 22 datasets. We show that a combination of complementary approaches like deletion phenotype screening and mass spectrometry can identify over 75% of the known mitochondrial proteome. These findings have implications for choosing optimal genome-wide approaches for the study of other cellular systems, including organelles and pathways in various species. Furthermore, our systematic identification of genes involved in mitochondrial function and biogenesis in yeast expands the candidate genes available for mapping Mendelian and complex mitochondrial disorders in humans.     

High-throughput yeast two-hybrid assays for large-scale protein interaction mapping

Protein-protein interactions play fundamental roles in many biological processes. Hence, protein interaction mapping is becoming a well-established functional genomics approach to generate functional annotations for predicted proteins that so far have remained uncharacterized. The yeast two-hybrid system is currently one of the most standardized protein interaction mapping techniques. Here, we describe the protocols for a semiautomated, high-throughput, Gal4-based yeast two-hybrid system.     

植物SNARE蛋白的结构与功能

在真核生物细胞囊泡运输过程中的膜融合主要是由SNARE蛋白介导的,SNARE蛋白的结构高度保守.研究发现,植物中的SNARE蛋白促进植物细胞板形成,能与离子通道蛋白相互作用,有利于植物的正常生长发育,能提高植物的抗病性及参与植物的向重力性作用.应用基因组学和蛋白质组学技术结合细胞学水平上的分析方法有助于深入揭示植物SNARE蛋白家族成员的功能,明确SNARE蛋白在信号转导途径中的作用,阐明动植物免疫系统的区别和联系.     

规模化蛋白质相互作用的研究技术

蛋白质相互作用既是蛋白质执行功能的主要方式,也是细胞功能调控网络的结构基础。蛋白质间异常的相互作用及其连锁网络的紊乱是引起许多病理改变的原因。作为功能基因组和蛋白质组研究的重要内容,规模化蛋白质相互作用研究已成为近年国际上研究的热点之一。文章综述了当前规模化蛋白质相互作用研究中的常用技术和常用蛋白质相互作用数据库,研究者可根据研究需要和技术特点利用这些资源。     

Large-scale protein identification using mass spectrometry

Recent achievements in genomics have created an infrastructure of biological information. The enormous success of genomics promptly induced a subsequent explosion in proteomics technology, the emerging science for systematic study of proteins in complexes, organelles, and cells. Proteomics is developing powerful technologies to identify proteins, to map proteomes in cells, to quantify the differential expression of proteins under different states, and to study aspects of protein-protein interaction. The dynamic nature of protein expression, protein interactions, and protein modifications requires measurement as a function of time and cellular state. These types of studies require many measurements and thus high throughput protein identification is essential. This review will discuss aspects of mass spectrometry with emphasis on methods and applications for large-scale protein identification, a fundamental tool for proteomics.     

A parallel proteomic and metabolomic analysis of the hydrogen peroxide- and Sty1p-dependent stress response in Schizosaccharomyces pombe

Using an integrated approach incorporating proteomics, metabolomics and published mRNA data, we have investigated the effects of hydrogen peroxide on wild type and a Sty1p-deletion mutant of the fission yeast Schizosaccharomyces pombe. Differential protein expression analysis based on the modification of proteins with matched fluorescent labelling reagents (2-D-DIGE) is the foundation of the quantitative proteomics approach. This study identifies 260 differentially expressed protein isoforms from 2-D-DIGE gels using MALDI MS and reveals the complexity of the cellular response to oxidative stress and the dependency on the Sty1p stress-activated protein kinase. We show the relationship between these protein changes and mRNA expression levels identified in a parallel whole genome study, and discuss the regulatory mechanisms involved in protecting cells against hydrogen peroxide and the involvement of Sty1p-dependent stress-activated protein kinase signalling. Metabolomic profiling of 29 intermediates using 1H NMR was also conducted alongside the protein analysis using the same sample sets, allowing examination of how the protein changes might affect the metabolic pathways and biological processes involved in the oxidative stress response. This combined analysis identifies a number of interlinked metabolic pathways that exhibit stress- and Sty1-dependent patterns of regulation.     

COST-EFFECTIVE AND EFFICIENT APPARATUS FOR ELECTROELUTION OF MICRO- AND MACROGRAM QUANTITIES OF PROTEINS FROM POLYACRYLAMIDE GELS

Protein recovery from gel electrophoresis plays a significant role in functional genomics and proteomics. To assist in this, a simple, cost-effective, and efficient apparatus for electroelution of proteins has been designed. The performance of the apparatus was demonstrated using the proteins bovine serum albumin (BSA), phosphorylase, ovalbumin, pepsin, and trypsinogen. In all the cases the yield of elution was found to be consistently greater than 85% and the proteins could be eluted without degradation in less than 15 min. The utility of this method can be extended to protein elution from denatured and native polyacrylamide gels, DNA purification from agarose gels, and oligomeric primers purification from polyacrylamide gels. In addition to this, the method offers an effortless purification and characterization of microbial extracellular proteins. The eluted proteins can be directly used in N-terminal amino acid sequencing, and in amino acid and proteomics analyses.     

A proteomics approach for the analysis of hemolymph proteins involved in the immediate defense response of the soft tick, <Emphasis Type="Italic">Ornithodoros savignyi</Emphasis>, when challenged with <Emphasis Type="Italic">Candida albicans</Emphasis>

A proteomics approach was employed to identify proteins secreted into the hemolymph of Ornithodorus savignyi ticks 2 h after immune-challenge with the yeast, Candida albicans. Profiling of the proteins present in hemolymph of unchallenged ticks versus ticks challenged with heat-killed yeast revealed five proteins to be differentially expressed. The modulated protein spots were subjected to tandem mass spectrometry (MS/MS) analysis, but could not be positively identified. These proteins can be assigned to the immune response as they were not induced after aseptic injury. In an attempt to identify hemolymph proteins that recognize and bind to yeast cells, hemolymph obtained from both unchallenged and challenged ticks was incubated with C. albicans. Elution of the bound proteins followed by SDS–PAGE analysis indicated that three proteins (97, 88 and 26 kDa) present in both unchallenged and challenged hemolymph samples bind to yeast cells. The constant presence of these three proteins in tick hemolymph leads us to believe that they may be involved in non-self recognition and participate in yeast clearance from tick plasma. The analyzed yeast-binding proteins could also not be positively identified, suggesting that all the tick immune proteins investigated in this study are novel.     

Role of clinical bioinformatics in the development of network-based Biomarkers

Network biomarker as a new type of biomarkers with protein-protein interactions was initiated and investigated with the integration of knowledge on protein annotations, interaction, and signaling pathway. A number of methodologies and computational programs have been developed to integrate selected proteins into the knowledge-based networks via the combination of genomics, proteomics and bioinformatics. Alterations of network biomarkers can be monitored and evaluated at different stages and time points during the development of diseases, named dynamic network biomarkers. Dynamic network biomarkers should be furthermore correlated with clinical informatics, including patient complaints, history, therapies, clinical symptoms and signs, physician's examinations, biochemical analyses, imaging profiles, pathologies and other measurements.     

Protein-protein interaction networks: from interactions to networks

The goal of interaction proteomics that studies the protein-protein interactions of all expressed proteins is to understand biological processes that are strictly regulated by these interactions. The availability of entire genome sequences of many organisms and high-throughput analysis tools has led scientists to study the entire proteome (Pandey and Mann, 2000). There are various high-throughput methods for detecting protein interactions such as yeast two-hybrid approach and mass spectrometry to produce vast amounts of data that can be utilized to decipher protein functions in complicated biological networks. In this review, we discuss recent developments in analytical methods for large-scale protein interactions and the future direction of interaction proteomics.     

Quantitative proteome and acidic subproteome profiling of Candida albicans yeast-to-hypha transition

Candida albicans yeast-to-hypha morphological transition is involved in the virulence strategy of this opportunistic fungal pathogen. Changes in relative abundance of the Candida proteome related to this process were analyzed using different two-dimensional differential in-gel electrophoresis (2D-DIGE)-based approaches. First, a comparative analysis of yeast and hyphal cytoplasmic proteins allowed the detection of 106 protein spots with significant variation in abundance. Sixty-one of them, corresponding to 46 proteins, were identified. As most of the differentially abundant proteins had an acidic isoelectric point, a large-scale prefractionation approach to analyze the acidic C. albicans subproteome was carried out. Ninety acidic C. albicans proteins were identified by either gel-based or nongel-based approaches. Additionally, different workflows combining preparative isoelectric focusing, Cy labeling, and narrow pH gradient 2-DE gels were tested to analyze the differences in relative protein abundance between yeast and hyphal acidic subproteomes. It was possible to identify 21 differentially abundant acidic proteins; 10 of them were not identified in the previous 2D-DIGE gels. Functional and network interaction analyses of the 56 differentially abundant proteins identified by both approaches rendered an integrated view of metabolic and cellular process reorganization during the yeast-to-hypha transition. With these results, we propose a model of metabolic reorganization.