Avian proteomics: advances, challenges and new technologies

Proteomics is defined as an analysis of the full complement of proteins of a cell or tissue under given conditions. Avian proteomics, or more specifically chicken proteomics, has focussed on the study of individual tissues and organs of interest to specific researchers. Researchers have looked at skeletal muscle and growth, and embryonic development and have performed initial studies in avian disease. Traditional proteomics involves identifying and cataloguing proteins in a cell and identifying relative changes in populations between two or more states, be that physiological or disease-induced states. Recent advances in proteomic technologies have included absolute quantification, proteome simplification and the ability to determine the turnover of individual proteins in a global context. This review discusses the current developments in this relatively new field, new technologies and how they may be applied to biological questions, and the challenges faced by researchers in this ever-expanding and exciting field.     

Shotgun proteomics of bacterial pathogens: advances,challenges and clinical implications

Mass spectrometry-based proteomics is increasingly used in analysis of bacterial pathogens. Simple experimental set-ups based on high accuracy mass spectrometry and powerful biochemical and bioinformatics tools are capable of reliably quantifying levels of several thousand bacterial proteins in a single experiment, reaching the analytical capacity to completely map whole proteomes. Here the authors present the state-of-the-art in bacterial pathogen proteomics and discuss challenges that the field is facing, especially in analysis of low abundant, modified proteins from organisms that are difficult to culture. Constant improvements in speed and sensitivity of mass spectrometers, as well as in bioinformatic and biochemical workflows will soon allow for comprehensive analysis of regulatory mechanisms of pathogenicity and enable routine application of proteomics in the clinical setting.     

Recent advances in platelet proteomics

Platelets are the fundamental players in primary hemostasis, but are also involved in several pathological conditions. The remarkable advances in proteomic methodologies have allowed a better understanding of the basic physiological pathways underlying platelet biology. In addition, recent platelet proteomics focused on disease conditions, helping to elucidate the molecular mechanisms of complex and/or unknown human disorders and to find novel biomarkers for early diagnosis and drug targets. The most common and innovative proteomic techniques, both gel-based and gel-free, used in platelet proteomics will be reviewed here. A particular focus will be given to studies that used a subproteomic strategy to analyze specific platelet conditions (resting or activated), compartments (membrane, granules and microparticles) or fractions (phosphoproteome or glycoproteome). The thousands of platelet proteins and interactions discovered so far by these different powerful proteomic approaches represent a precious source of information for both basic science and clinical applications in the field of platelet biology.     

Bioinformatic challenges in targeted proteomics

Selected reaction monitoring mass spectrometry is an emerging targeted proteomics technology that allows for the investigation of complex protein samples with high sensitivity and efficiency. It requires extensive knowledge about the sample for the many parameters needed to carry out the experiment to be set appropriately. Most studies today rely on parameter estimation from prior studies, public databases, or from measuring synthetic peptides. This is efficient and sound, but in absence of prior data, de novo parameter estimation is necessary. Computational methods can be used to create an automated framework to address this problem. However, the number of available applications is still small. This review aims at giving an orientation on the various bioinformatical challenges. To this end, we state the problems in classical machine learning and data mining terms, give examples of implemented solutions and provide some room for alternatives. This will hopefully lead to an increased momentum for the development of algorithms and serve the needs of the community for computational methods. We note that the combination of such methods in an assisted workflow will ease both the usage of targeted proteomics in experimental studies as well as the further development of computational approaches.     

Update and challenges on proteomics in rice

Rice is not only an important agricultural resource but also a model plant for biological research. Our previous review highlighted different aspects of the construction of rice proteome database, cataloguing rice proteins of different tissues and organelle, differential proteomics using 2-DE and functional characterization of some of the proteins identified (Komatsu, S., Tanaka, N., Proteomics 2005, 5, 938-949). In this review, the powerfulness and weaknesses of proteomic technologies as a whole and limitations of the currently used techniques in rice proteomics are discussed. The information obtained from these techniques regarding proteins modification, protein-protein interaction and the development of new methods for differential proteomics will aid in deciphering more precisely the functions of known and/or unknown proteins in rice.     

Chloroplast proteomics: potentials and challenges

With the available Arabidopsis genome and near-completion of the rice genome sequencing project, large-scale analysis of plant proteins with mass spectrometry has now become possible. Determining the proteome of a cell is a challenging task, which is complicated by proteome dynamics and complexity. The biochemical heterogeneity of proteins constrains the use of standardized analytical procedures and requires demanding techniques for proteome analysis. Several proteome studies of plant cell organelles have been reported, including chloroplasts and mitochondria. Chloroplasts are of particular interest for plant biologists because of their complex biochemical pathways for essential metabolic functions. Information from the chloroplast proteome will therefore provide new insights into pathway compartmentalization and protein sorting. Some approaches for the analysis of the chloroplast proteome and future prospects of plastid proteome research are discussed here.     

花粉蛋白质组学研究进展

花粉是高度退化的生物体(雄配子体), 在植物有性生殖过程中具有重要作用。解析花粉发育、花粉-柱头识别、萌发和花粉管生长等细胞学过程的分子机制是当前研究的热点问题之一。近年来, 应用高通量的蛋白质组学技术平台, 对水稻、拟南芥和裸子植物花粉的蛋白质组学研究揭示了花粉中表达蛋白质的功能类群特征。花粉中参与细胞壁代谢、蛋白质代谢、细胞骨架动态和信号转导的蛋白质被高度代表, 并且近1/4蛋白质有多个同工型。本文综述了花粉蛋白质组学的研究进展。     

Tools and challenges for diversity-driven proteomics in Brazil

Our current knowledge in biology has been mostly derived from studying model organisms and cell lines in which only a small fraction of all described species have been extensively studied. Although these model organisms are amenable to genetic manipulations, this blinds researchers to the true variability of life. Groundbreaking discoveries are often achieved by analyzing "noncanonical" species; for example, the characterization of Taq polymerase from Thermus aquaticus ultimately led to a revolution in the field of molecular biology. Brazil possesses a rich biodiversity and a considerable fraction of Brazilian groups use current proteomic techniques to explore this natural treasure-trove. However, in our opinion, much more than the widely adopted peptide spectrum match approach is required to explore this rich "proteomosphere." Here, we provide a critical overview of the available strategies for the analysis of proteomic data from "noncanonical" biological samples (e.g. proteins from unsequenced genomes or genomes with high levels of polymorphisms), and demonstrate some limitations of existing approaches for large-scale protein identification and quantitation. An understanding of the premises behind these computational tools is necessary to properly deal with their limitations and draw accurate conclusions.     

Extreme zinc tolerance in acidophilic microorganisms from the bacterial and archaeal domains

Zinc can occur in extremely high concentrations in acidic, heavy metal polluted environments inhabited by acidophilic prokaryotes. Although these organisms are able to thrive in such severely contaminated ecosystems their resistance mechanisms have not been well studied. Bioinformatic analysis of a range of acidophilic bacterial and archaeal genomes identified homologues of several known zinc homeostasis systems. These included primary and secondary transporters, such as the primary heavy metal exporter ZntA and Nramp super-family secondary importer MntH. Three acidophilic model microorganisms, the archaeon ??Ferroplasma acidarmanus??, the Gram negative bacterium Acidithiobacillus caldus, and the Gram positive bacterium Acidimicrobium ferrooxidans, were selected for detailed analyses. Zinc speciation modeling of the growth media demonstrated that a large fraction of the free metal ion is complexed, potentially affecting its toxicity. Indeed, many of the putative zinc homeostasis genes were constitutively expressed and with the exception of ??F. acidarmanus?? ZntA, they were not up-regulated in the presence of excess zinc. Proteomic analysis revealed that zinc played a role in oxidative stress in At. caldus and Am. ferrooxidans. Furthermore, ??F. acidarmanus?? kept a constant level of intracellular zinc over all conditions tested whereas the intracellular levels increased with increasing zinc exposure in the remaining organisms.     

Ian Humphery-Smith on current challenges in proteomics

Ian Humphery-Smith is Professor of Pharmaceutical Proteomics at Utrecht University, The Netherlands, and until recently was a Managing Director and Chief Scientific Officer of Glaucus Proteomics. After a PhD in Parasitology at the University of Queensland, he studied virology and bacteriology in France as a post-doc, before returning to Australia as Course-Coordinator in Medical Microbiology and Immunology at the University of Sydney. During this time, Humphery-Smith took up the posts of Executive Director of Australia's second largest DNA sequencing facility and Director of the Center for Proteomic Research and Gene-Product Mapping, which later became the world's first center to focus on studying the proteome. Humphery-Smith has devoted ten years of research to analyzing proteins in health and disease, and it was his work that originally coined the term ‘proteomics’. He was the first to publish the most complete analysis of an entire proteome in 2000, that of the bacterium Mycoplasma genitalium. He currently serves as a council member of the Human Proteome Organization (HUPO) and has been a prime mover in efforts to have the Human Proteome Project become a formally-ratified international initiative to follow-on from the Human Genome Project.     

Recent advances in the structure and assembly of the archaeal flagellum

Archaeal motility occurs through the rotation of flagella that are distinct from the flagella found on bacteria. The differences between the two structures include the multi-flagellin nature of the archaeal filament, the widespread posttranslational modification of the flagellins and the presence of a short signal peptide on each flagellin that is cleaved by a specific signal peptidase prior to the incorporation of the mature flagellin into the flagellar filament. Research has revealed similarities between the archaeal flagellum and the type IV pilus, including the presence of similar unusual signal peptides on the flagellins and pilins, similarities in the amino acid sequences of the major structural proteins themselves, as well as similarities between potential assembly and processing components. The recent suggestion that type IV pili are part of a family of cell surface complexes, coupled with the similarities between type IV pili and archaeal flagella, raise questions about the evolution of these systems and possible inclusion of archaeal flagella into this surface complex family.     

Dynamic proteomics in mammalian cells: capabilities and challenges

A long term goal for molecular biologists is to visualize and quantify the levels and localizations of all proteins at the single cell level under endogenous regulation throughout time. Recent advances in protein tagging, microscopy, and image analysis have brought this goal much closer. But how to integrate these techniques to arrive at proteome scale results? Here I review one approach, incorporating random endogenous gene tagging, high-throughput incubated time-lapse microscopy, and automated image analysis, that can provide information on, for example, the accumulation rates of proteins throughout the cell cycle and the variability of protein level expression. Dynamic proteomics has the potential to shed light on many long standing questions and could contribute to challenging undertakings such as following signal transduction in a mammalian cell from input to output.     

Schistosome biology and proteomics: progress and challenges

The recent availability of schistosomal genome-sequence information allows protein identification in schistosome-derived samples by mass spectrometry (proteomics). Over the last few years, several proteome studies have been performed that addressed important questions in schistosome biology. This review summarizes the applied experimental approaches that have been used so far, it provides an overview of the most important conclusions that can be drawn from the performed studies and finally discusses future challenges in this research area.