Viral proteomics: The emerging cutting-edge of virus research

Viruses replicate and proliferate in host cells while continuously adjusting to and modulating the host environment. They encode a wide spectrum of multifunctional proteins, which interplay with and modify proteins in host cells. Viral genomes were chronologically the first to be sequenced. However, the corresponding viral proteomes, the alterations of host proteomes upon viral infection, and the dynamic nature of proteins, such as post-translational modifications, enzymatic cleavage, and activation or destruction by proteolysis, remain largely unknown. Emerging high-throughput techniques, in particular quantitative or semi-quantitative mass spectrometry-based proteomics analysis of viral and cellular proteomes, have been applied to define viruses and their interactions with their hosts. Here, we review the major areas of viral proteomics, including virion proteomics, structural proteomics, viral protein interactomics, and changes to the host cell proteome upon viral infection.     

System, trends and perspectives of proteomics in dicot plants. Part III: Unraveling the proteomes influenced by the environment, and at the levels of function and genetic relationships

This review is devoted to the proteomics studies in dicotyledoneous (dicot) plants, such as Arabidopsis, Medicago, potato, soybean, and tomato, under the influence of the environment and at the functional and genetic relationship levels, where the two core technologies, two-dimensional gel electrophoresis (2-DGE) and mass spectrometry (MS) have been instrumental in unraveling the proteomes affected therein. Abiotic and biotic stress responses, including the affect of allergens, the symbiotic interaction between the members of the Leguminoseae family and genera of nitrogen fixing bacteria, phosphoproteomics, and proteomics in revealing the genetic relationships between species and genera have been the subject of many proteomics studies, and these are discussed in this review. In all, these studies have complemented and extended the studies of developmental proteomics [G.K. Agrawal, M. Yonekura, Y. Iwahashi, H. Iwahashi, R. Rakwal, J. Chromatogr. B (2004)].     

Targeted proteomics on its way to discovery

For a long time, targeted and discovery proteomics covered different corners of the detection spectrum, with targeted proteomics focused on small target sets. This changed with the recent advances in highly multiplexed analysis. While discovery proteomics still pushes higher numbers of identified and quantified proteins, the advances in targeted proteomics rose to cover large parts of less complex proteomes or proteomes with low protein detection counts due to dynamic range restrictions, like the blood proteome. These new developments will impact, especially on the field of biomarker discovery and the possibility of using targeted proteomics for diagnostic purposes.     

Crop proteomics: aim at sustainable agriculture of tomorrow

The advent of proteomics has made it possible to identify a broad spectrum of proteins in living systems. This capability is especially useful for crops as it may give clues not only about nutritional value, but also about yield and how these factors are affected by adverse conditions. In this review, we describe the recent progress in crop proteomics and highlight the achievements made in understanding the proteomes of major crops. The major emphasis will be on crop responses to abiotic stresses. Rigorous genetic testing of the role of possibly important proteins can be conducted. The increasing ease with the DNA, mRNA and protein levels can be conducted and connected suggests that proteomics data will not be difficult to apply to practical crop breeding.     

Rejuvenating rice proteomics: facts, challenges, and visions

Proteomics is progressing at an unprecedented pace, as can be exemplified by the progress in model organisms such as yeast, bacteria, and mammals. Proteomics research in plants, however, has not progressed at the same pace. Unscrambling of the genome sequences of the dicotyledoneous Arabidopsis thaliana (L.) and monocotyledoneous rice (Oryza sativa L.) plant species, respectively, has made them accessible reference organisms to study plant proteomics. Study of these two reference plants is expected to unravel the mystery of plant biology. Rice, a critically important food crop on the earth, has been termed a "cornerstone" and the "Rosetta stone" for functional genomics of cereal crops. Here, we look at the progress in unraveling rice proteomes and present the facts, challenges, and vision. The text is divided into two major parts: the first part presents the facts and the second part discusses the challenges and vision. The facts include the technology and its use in developing proteomes, which have been critically and constructively reviewed. The challenges and vision deal with the establishment of technologies to exhaustively investigate the protein components of a proteome, to generate high-resolution gel-based reference maps, and to give rice proteomics a functional dimension by studying PTMs and isolation of multiprotein complexes. Finally, we direct a vision on rice proteomics. This is our third review in series on rice proteomics, which aims to stimulate an objective discussion among rice researchers and to understand the necessity and impact of unraveling rice proteomes to their full potential.     

种子蛋白质与蛋白质组的研究

综述了种子蛋白质与蛋白质组的研究,主要介绍了种子发育与形成、种子休眠与萌发、种子保存与活力以及种子与环境相互作用的蛋白质与蛋白质组的研究.同时阐述了当今蛋白质组学在种子研究中的应用以及所取得的成果,并展望了种子蛋白质组学的发展方向,种子生物学的研究将从基因水平走向整体水平,因此环境因子与种子蛋白质的相互作用是研究的重点.运用蛋白质组学将能揭示蛋白质的功能并明晰种子的生命机制.     

种子蛋白质与蛋白质组的研究

综述了种子蛋白质与蛋白质组的研究, 主要介绍了种子发育与形成、种子休眠与萌发、种子保存与活力以及种子与环境相互作用的蛋白质与蛋白质组的研究。同时阐述了当今蛋白质组学在种子研究中的应用以及所取得的成果, 并展望了种子蛋白质组学的发展方向, 种子生物学的研究将从基因水平走向整体水平, 因此环境因子与种子蛋白质的相互作用是研究的重点。运用蛋白质组学将能揭示蛋白质的功能并明晰种子的生命机制。     

System, trends and perspectives of proteomics in dicot plants Part I: Technologies in proteome establishment

The first 3 years of the 21st century have seen the impact of plant proteomics on functional genomics that has enhanced our understanding, not only on the plant genome(s), but also more importantly, on the functional aspect of proteins. This is mainly due to availability of the complete genome sequence of the Arabidopsis thaliana-a dicotyledoneous (dicot) model plant-and technological advancements in proteomics. Proteomic analyses of a variety of dicot plants, including both Arabidopsis and the model legume species, barrel medic (Medicago truncatula), have greatly helped in an efficient separation, identification and cataloguing of a large number of proteins, and thereby defining their proteomes. Therefore, we have composed an inclusive review on dicot plant materials, as of February 2004, that provides system, trends and perspectives of proteomics in growth and development and the environment. The review is summarized and discussed as three individual, but interlinked, entities: Part I, technologies in proteome establishment (this review), Part II, proteomes of the complex developmental stages [G.K. Agrawal, M. Yonekura, Y. Iwahashi, H. Iwahashi, R. Rakwal, J. Chromatogr. B (2004)], and Part III, unraveling the proteomes influenced by the environment, and at the levels of function and genetic relationships [G.K. Agrawal, M. Yonekura, Y. Iwahashi, H. Iwahashi, R. Rakwal, J. Chromatogr. B (2004)]. This review deals with the diverse proteomic technologies being used in proteome development of different dicot plants.     

Proteomics and a future generation of plant molecular biologists

Proteomic methods are required for the study of many different aspects of plant function. Important issues in proteomics include the molecular complexity of proteins, given that there are hundreds of thousands of chemically and physically distinct proteins in plants, and the context of protein functions with respect to both genomes and the environment. Available genomic and gene sequences greatly simplify the identification of proteins using improved techniques of mass spectrometry. This improved capability has led to much discussion on proteomes, and some experimentation using proteomic methodologies aimed at modest numbers of proteins. The scale of proteomics is open, for the number of proteins and genes considered at any one time is as dependent on the nature of the scientific question posed as on technical resources and capabilities. We know just enough about plant proteomes to imagine the breathtaking scope of our ignorance. There are tremendous opportunities for new molecular biologists to define the nature of the protein machines that transduce genetic and environmental information, and transform simple energy and matter, to give plants.     

Proteomics of protein secretion by Bacillus subtilis: separating the "secrets" of the secretome.

Secretory proteins perform a variety of important "remote-control" functions for bacterial survival in the environment. The availability of complete genome sequences has allowed us to make predictions about the composition of bacterial machinery for protein secretion as well as the extracellular complement of bacterial proteomes. Recently, the power of proteomics was successfully employed to evaluate genome-based models of these so-called secretomes. Progress in this field is well illustrated by the proteomic analysis of protein secretion by the gram-positive bacterium Bacillus subtilis, for which approximately 90 extracellular proteins were identified. Analysis of these proteins disclosed various "secrets of the secretome," such as the residence of cytoplasmic and predicted cell envelope proteins in the extracellular proteome. This showed that genome-based predictions reflect only approximately 50% of the actual composition of the extracellular proteome of B. subtilis. Importantly, proteomics allowed the first verification of the impact of individual secretion machinery components on the total flow of proteins from the cytoplasm to the extracellular environment. In conclusion, proteomics has yielded a variety of novel leads for the analysis of protein traffic in B. subtilis and other gram-positive bacteria. Ultimately, such leads will serve to increase our understanding of virulence factor biogenesis in gram-positive pathogens, which is likely to be of high medical relevance.     

Viral proteomics: global evaluation of viruses and their interaction with the host

Viruses constantly adapt to and modulate the host environment during replication and propagation. Both DNA and RNA viruses encode multifunctional proteins that interact with and modify host cell proteins. While viral genomes were the first complete sequences known, the corresponding proteomes are only now elucidated, with some surprising results. Even more daunting is the task to globally monitor the impact of viral infection on the proteome of the host cell and many technical hurdles must still be overcome in order to facilitate robust and reproducible measurements. Further complicating the picture is the dynamic nature of proteins, including post-translational modifications, enzymatic cleavage and activation or destruction by proteolytic events. Nevertheless, several promising studies have been published using high-throughput methods directly measuring protein abundance. Particularly, quantitative or semiquantitative mass spectrometry-based analysis of viral and cellular proteomes are now being used to characterize viruses and their host interaction. In addition, the full set of interactions between viral and host proteins, the interactome, is beginning to emerge, with often unexpected interactions that need to be carefully validated. In this review, we will discuss two major areas of viral proteomics: first, virion proteomics (such as the protein characterization of viral particles) and second, proteoviromics, including the viral protein interactomics and the quantitative analysis of host cell proteome during viral infection.     

Viral proteomics: global evaluation of viruses and their interaction with the host

Viruses constantly adapt to and modulate the host environment during replication and propagation. Both DNA and RNA viruses encode multifunctional proteins that interact with and modify host cell proteins. While viral genomes were the first complete sequences known, the corresponding proteomes are only now elucidated, with some surprising results. Even more daunting is the task to globally monitor the impact of viral infection on the proteome of the host cell and many technical hurdles must still be overcome in order to facilitate robust and reproducible measurements. Further complicating the picture is the dynamic nature of proteins, including post-translational modifications, enzymatic cleavage and activation or destruction by proteolytic events. Nevertheless, several promising studies have been published using high-throughput methods directly measuring protein abundance. Particularly, quantitative or semiquantitative mass spectrometry-based analysis of viral and cellular proteomes are now being used to characterize viruses and their host interaction. In addition, the full set of interactions between viral and host proteins, the interactome, is beginning to emerge, with often unexpected interactions that need to be carefully validated. In this review, we will discuss two major areas of viral proteomics: first, virion proteomics (such as the protein characterization of viral particles) and second, proteoviromics, including the viral protein interactomics and the quantitative analysis of host cell proteome during viral infection.     

The proteome buccaneers: how to unearth your treasure chest via combinatorial peptide ligand libraries

The latest advances in combinatorial peptide ligand libraries, with their unique performance in discovering low-abundance species in proteomes, are reviewed here. Explanations of mechanism, potential applications, capture of proteomes at different pH values to enhance the total catch and quantitative elutions, such as boiling in the presence of 5% sodium dodecyl sulfate and 3% dithiothreitol are included. The reproducibility of protein capture among different experiments with the same batch of beads or with different batches is also reported to be very high, with coefficient of variations in the order of 10–20%. Miniaturized operations, consisting of capture with as little as 20 or even 5 µl of peptide beads are reported, thus demonstrating that the described technology could be exploited for routine biomarker discovery in a biomedical environment. Finally, it is shown that the signal of captured proteins is linear over approximately three orders of magnitude, ranging from nM to µM, thus ensuring that differential quantitative proteomics for biomarker discovery can be fully implemented, providing species do not saturate their ligands.     

High-throughput proteomics using matrix-assisted laser desorption/ ionization mass spectrometry

It has become evident that the mystery of life will not be deciphered just by decoding its blueprint, the genetic code. In the life and biomedical sciences, research efforts are now shifting from pure gene analysis to the analysis of all biomolecules involved in the machinery of life. One area of these postgenomic research fields is proteomics. Although proteomics, which basically encompasses the analysis of proteins, is not a new concept, it is far from being a research field that can rely on routine and large-scale analyses. At the time the term proteomics was coined, a gold-rush mentality was created, promising vast and quick riches (i.e., solutions to the immensely complex questions of life and disease). Predictably, the reality has been quite different. The complexity of proteomes and the wide variations in the abundances and chemical properties of their constituents has rendered the use of systematic analytical approaches only partially successful, and biologically meaningful results have been slow to arrive. However, to learn more about how cells and, hence, life works, it is essential to understand the proteins and their complex interactions in their native environment. This is why proteomics will be an important part of the biomedical sciences for the foreseeable future. Therefore, any advances in providing the tools that make protein analysis a more routine and large-scale business, ideally using automated and rapid analytical procedures, are highly sought after. This review will provide some basics, thoughts and ideas on the exploitation of matrix-assisted laser desorption/ ionization in biological mass spectrometry - one of the most commonly used analytical tools in proteomics - for high-throughput analyses.     

System, trends and perspectives of proteomics in dicot plants Part II: Proteomes of the complex developmental stages

This review is devoted to the proteomes of the complex developmental stages of dicotyledoneous (dicot) plant materials. The two core technologies, two-dimensional gel electrophoresis (2-DGE) and mass spectrometry (MS), independently or in combination with each other, are propelling dicot plant proteomics to new discoveries and functions, with the establishment of tissue-specific and organelle proteomes, mostly in Arabidopsis thaliana and Medicago truncatula, revealing their complexity and specificity. These experimental proteomes have provided a good start towards the establishment of high-density 2-DGE reference maps and peptide mass fingerprint databases, for not only the model dicot plants, A. thaliana and M. truncatula, but also other important dicot plants, which will serve as a basis for proteomes of many other dicot plants and plant materials.     

High-throughput proteomics using matrix-assisted laser desorption/ ionization mass spectrometry

It has become evident that the mystery of life will not be deciphered just by decoding its blueprint, the genetic code. In the life and biomedical sciences, research efforts are now shifting from pure gene analysis to the analysis of all biomolecules involved in the machinery of life. One area of these postgenomic research fields is proteomics. Although proteomics, which basically encompasses the analysis of proteins, is not a new concept, it is far from being a research field that can rely on routine and large-scale analyses. At the time the term proteomics was coined, a gold-rush mentality was created, promising vast and quick riches (i.e., solutions to the immensely complex questions of life and disease). Predictably, the reality has been quite different. The complexity of proteomes and the wide variations in the abundances and chemical properties of their constituents has rendered the use of systematic analytical approaches only partially successful, and biologically meaningful results have been slow to arrive. However, to learn more about how cells and, hence, life works, it is essential to understand the proteins and their complex interactions in their native environment. This is why proteomics will be an important part of the biomedical sciences for the foreseeable future. Therefore, any advances in providing the tools that make protein analysis a more routine and large-scale business, ideally using automated and rapid analytical procedures, are highly sought after. This review will provide some basics, thoughts and ideas on the exploitation of matrix-assisted laser desorption/ ionization in biological mass spectrometry – one of the most commonly used analytical tools in proteomics – for high-throughput analyses.     

Market opportunity in computational proteomics

The current exuberance on the potential of proteomics as a means to deploy the wealth of the human genome is expected to last into the coming years. Unlike the genome, a finite entity with a fixed number of base pairs of the genetic material, the proteome is "plastic", changing throughout growth and development and environmental stresses, as well as in pathological situations. Our proteomes change over time, and therefore there is no one proteome; the proteome is for practical purposes an infinite entity. It is therefore crucial to build systems that are capable of manipulating the information content that is the proteome, thence the need for computational proteomics as a discipline. In this Market View article, we present the industry landscape that is emerging in the computational proteomics space. This space is still in its infancy and for the most part undefined; therefore we seek to present the market opportunity in informatics in the drug discovery space and then extend that to an examination of industry trends in proteomics. Thus, the gestalt is a set of predictions as to the evolution of the landscape in computational proteomics over the coming years.