Ion mapping in plant cells – methods and applications in signal transduction research

 This review covers both methodical aspects and actual applications of ion imaging techniques in plant cell signal research. The methodological section explains the basic principles of fluorescence ion imaging, the impact of modern developments in fluorescence microscopy and introduces the most important fluorescence probes including aequorin and other photoproteins. It critically comments on loading strategies, intracellular compartmentation of probes and calibration procedures. The second part compiles actual research areas where the application of ion imaging procedures has gained substantial achievements and helped to establish new concepts of calcium- and pH-dependent signalling. Examples comprise the hormonal control of stomatal movements, effects of gibberellic and abscisic acids in aleurone cells, elicitation of phytoalexin production, cytosolic pH and cell development, and signatures of Ca²⁺ as a universal signal in plant cells. Received: 26 May 1999 / Accepted: 2 August 1999     

Cooperation and cheating in microbial exoenzyme production – Theoretical analysis for biotechnological applications

The engineering of microorganisms to produce a variety of extracellular enzymes (exoenzymes), for example for producing renewable fuels and in biodegradation of xenobiotics, has recently attracted increasing interest. Productivity is often reduced by “cheater” mutants, which are deficient in exoenzyme production and benefit from the product provided by the “cooperating” cells. We present a game-theoretical model to analyze population structure and exoenzyme productivity in terms of biotechnologically relevant parameters. For any given population density, three distinct regimes are predicted: when the metabolic effort for exoenzyme production and secretion is low, all cells cooperate; at intermediate metabolic costs, cooperators and cheaters coexist; while at high costs, all cells use the cheating strategy. These regimes correspond to the harmony game, snowdrift game, and Prisoner's Dilemma, respectively. Thus, our results indicate that microbial strains engineered for exoenzyme production will not, under appropriate conditions, be outcompeted by cheater mutants. We also analyze the dependence of the population structure on cell density. At low costs, the fraction of cooperating cells increases with decreasing cell density and reaches unity at a critical threshold. Our model provides an estimate of the cell density maximizing exoenzyme production.     

Extracellular vesicles – biogenesis,composition, function,uptake and therapeutic applications

Extracellular vesicles are heterogenous, nano-sized, membrane-limited structures which not only represent a specific way of intercellular communication but also endow cells with many capabilities. Apoptotic bodies created during apoptosis, microvesicles shed from the plasma membrane, and exosomes originated inside the cell and released to extracellular space upon fusion with the plasma membrane, they all belong to extracellular vesicles. Extracellular vesicles contain lipids, proteins, and nucleic acids. In this review, we describe their biogenesis, release and uptake by recipient cells, their composition, functions and potential therapeutic and diagnostic applications.     

Magnetic quantum dots in biotechnology – synthesis and applications

Quantum dots (QDs) have great promise in biological imaging, and as this promise is realized, there has been increasing interest in combining the benefits of QDs with those of other materials to yield composites with multifunctional properties. One of the most common materials combined with QDs is magnetic materials, either as ions (e.g. gadolinium) or as nanoparticles (e.g. superparamagnetic iron oxide nanoparticles, SPIONs). The fluorescent property of the QDs permits visualization, whereas the magnetic property of the composite enables imaging, magnetic separation, and may even have therapeutic benefit. In this review, the synthesis of fluorescent–magnetic nanoparticles, including magnetic QDs is explored; and the applications of these materials in imaging, separations, and theranostics are discussed. As the properties of these materials continue to improve, QDs have the potential to greatly impact biological imaging, diagnostics, and treatment.     

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications

Protein–protein interactions (PPIs) govern numerous cellular functions in terms of signaling, transport, defense and many others. Designing novel PPIs poses a fundamental challenge to our understanding of molecular interactions. The capability to robustly engineer PPIs has immense potential for the development of novel synthetic biology tools and protein-based therapeutics. Over the last decades, many efforts in this area have relied purely on experimental approaches, but more recently, computational protein design has made important contributions. Template-based approaches utilize known PPIs and transplant the critical residues onto heterologous scaffolds. De novo design instead uses computational methods to generate novel binding motifs, allowing for a broader scope of the sites engaged in protein targets. Here, we review successful design cases, giving an overview of the methodological approaches used for templated and de novo PPI design.     

Constraint line methods and the applications in ecology北大核心CSCD

With increasing data availability in the big data era, many traditional statistical analyses based on the mean or median are insufficient or inappropriate to elucidate the complex patterns of variation. This is particularly the case when multiple factors are involved and the bivariate scatter occurs as scatter clouds. In such circumstances, constraint line (or envelope) method could be an alternative and effective tool to extract the data boundaries, thus improves our understanding of the complex relationships between limiting factor and response factor. Here, we synthesize the major findings and achievements in the field of applying the constraint line method in ecology. Specifically, we first describe the history and development of the constraint line method. We then discuss the techniques to establish the constraint lines with examples, and discuss the applications and implications of the constraint lines in species distribution, population performance, and optimization problem. We suggest simultaneously application of both constraint lines and regression techniques to the same datasets to achieve a comprehensive understanding of ecological process and underlying mechanisms. Such combined methods should be used with special attention to the role of spatial heterogeneity and scale dependency. We also discuss in detail the potential applicability of the constraint line method in studying the linkages between ecosystem services, and land system design.     

MolTalk – a programming library for protein structures and structure analysis

Background  

Two of the mostly unsolved but increasingly urgent problems for modern biologists are a) to quickly and easily analyse protein structures and b) to comprehensively mine the wealth of information, which is distributed along with the 3D co-ordinates by the Protein Data Bank (PDB). Tools which address this issue need to be highly flexible and powerful but at the same time must be freely available and easy to learn.     

Chemometric analysis of soy protein hydrolysates used in animal cell culture for IgG production – An untargeted metabolomics approach

Soy protein hydrolysates are used as the most cost effective medium supplement to enhance cell growth and recombinant protein productivity in cell cultures. Such hydrolysates contain diverse classes of compounds, such as peptides, carbohydrates and phenolic compounds. To identify if specific compounds dominate the functionality of hydrolysates in cell cultures, thirty samples of hydrolysates with different cell culture performances were analyzed for chemical composition using an untargeted metabolomics approach. Out of 410 detected compounds, 157 were annotated. Most of the remaining 253 compounds were identified as peptides, but could not be annotated exactly. All compounds were quantified relatively, based on their average signal intensities. The cell growth and total immunoglobulin (IgG) production, relative to the CD medium (100%), ranged from 148 to 438% and 117 to 283%, respectively. Using bootstrapped stepwise regression (BSR), the compounds with the highest inclusion frequency were identified. The most important compound, i.e. phenyllactate and ferulate explained 29% and 30% of the variance for cell growth and total IgG production, respectively. Surprisingly, all compounds identified in the BSR showed a positive correlation with cell growth and total IgG production. This knowledge can be applied to monitor the production and accumulation of these compounds during the production process of hydrolysates. Consequently, the processing conditions can be modulated to produce soy protein hydrolysates with enhanced and consistent cell culture performance.     

Feeding studies take guts – critical review and recommendations of methods for stomach contents analysis in fish

Studies on the feeding ecology of fish are essential for exploring and contrasting trophic interactions and population and community dynamics within and among aquatic ecosystems. In this respect, many different methods have been adopted for the analysis of fish stomach contents. No consensus has, however, been reached for a standardised methodology despite that for several decades there has been an ongoing debate about which methodical approaches that should be preferred. Here, we critically review and scrutinise methods, addressing their strengths and weaknesses and emphasising inherent problems and possible pitfalls in their use. Although our critical assessment reveals that no completely ideal approach exists, appropriate and reliable procedures can be adopted through careful considerations and implementation. In particular, we advocate that different objectives require different methodical approaches and the choice of method should therefore be closely linked to the research questions that are addressed. For a standardisation of methods, we recommend a combination of the relative-fullness and presence–absence methods as the optimal approach for the commonly applied feeding studies addressing relative dietary composition in terms of prey diversity and abundance. Additionally, we recommend the gravimetric method for objectives related to the quantification of food consumption rates and the numerical method for prey selection studies. DNA-based dietary analysis provides a new and promising complementary approach to visual examination of stomach contents, although some technical challenges still exist. The suggested method standardisation facilitates comparisons across species, ecosystems and time and will enhance the applicability and benefits of fish feeding studies in trophic ecology research.     

Aspergillus-specific antibodies – Targets and applications

Aspergillus is a fungal genus comprising several hundred species, many of which can damage the health of plants, animals and humans by direct infection and/or due to the production of toxic secondary metabolites known as mycotoxins. Aspergillus-specific antibodies have been generated against polypeptides, polysaccharides and secondary metabolites found in the cell wall or secretions, and these can be used to detect and monitor infections or to quantify mycotoxin contamination in food and feed. However, most Aspergillus-specific antibodies are generated against heterogeneous antigen preparations and the specific target remains unknown. Target identification is important because this can help to characterize fungal morphology, confirm host penetration by opportunistic pathogens, detect specific disease-related biomarkers, identify new candidate targets for antifungal drug design, and qualify antibodies for diagnostic and therapeutic applications. In this review, we discuss how antibodies are raised against heterogeneous Aspergillus antigen preparations and how they can be characterized, focusing on strategies to identify their specific antigens and epitopes. We also discuss the therapeutic, diagnostic and biotechnological applications of Aspergillus-specific antibodies.     

181 Integrative analysis of gene expression and protein–protein interaction networks in Glioblastoma

Glioblastoma multiforme (GBM) is the most malignant of all the brain tumors with very low median survival time of one year, as per Central Brain Tumor Registry of the USA, 2001. Efforts are ongoing to understand this disease pathogenesis in complete details. Global gene expression changes in GBM pathogenesis have been studied by several groups using microarray technology (e.g. Carro et al., 2010). One of the many approaches to ‘understand the control mechanisms underlying the observed changes in the activity of a biological process’ (Cline et al., 2007) is integration of gene expression and protein–protein interactions (PPI) datasets. Among several examples, aberrant activation of Wnt/β-catenin signaling pathway as well as sonic hedgehog (SHH) signaling pathway is reported in GBMs (Klaus & Birchmeier, 2008). Further, these two pathways are also involved in proliferation and clonogenicity of glioma cancer stem cells (Li et al., 2009), which are thought to play a role in glioma initiation, proliferation, and invasion, and are one of the important points of intervention. Hedgehog–Gli1 signaling is also found to regulate the expression of stemness genes. In this paper, analyses of the relationship between the significant differential expression of these and other genes and the connectivity as well as topological features of a PPI network would be discussed. This way, genes potentially overlooked when relying solely on expression profiles may be identified which can be biologically relevant as possible drug target/s or disease biomarker/s.     

Analysis of protein carbonylation — pitfalls and promise in commonly used methods

Abstract

Oxidation of proteins has received a lot of attention in the last decades due to the fact that they have been shown to accumulate and to be implicated in the progression and the pathophysiology of several diseases such as Alzheimer, coronary heart diseases, etc. This has also resulted in the fact that research scientists are becoming more eager to be able to measure accurately the level of oxidized protein in biological materials, and to determine the precise site of the oxidative attack on the protein, in order to get insights into the molecular mechanisms involved in the progression of diseases. Several methods for measuring protein carbonylation have been implemented in different laboratories around the world. However, to date no methods prevail as the most accurate, reliable, and robust. The present paper aims at giving an overview of the common methods used to determine protein carbonylation in biological material as well as to highlight the limitations and the potential. The ultimate goal is to give quick tips for a rapid decision making when a method has to be selected and taking into consideration the advantage and drawback of the methods.     

Hormones and root-shoot relationships in flooded plants — an analysis of methods and results

Two aspects of root to shoot communication in flooded plants are discussed (i) the formation of porous aerenchyma that enhances the passage of oxygen, and other gases, from shoots to roots and (ii) the movement of the ethylene precursor 1-aminocyclopropane-1-carboxylic acid (ACC) from roots to shoots in the transpiration stream, and the effect of this on ethylene production and epinastic curvature in the shoots. For aerenchyma studies a highly sensitive photoacoustic laser detector for ethylene was used to avoid interference associated with other methods of ethylene measurement that require tissue excision. ACC concentrations in xylem sap were measured by physico-chemical means to ensure correct identification and account for processing losses. Solute concentrations, e.g., abscisic acid (ABA), in xylem sap are shown to be distorted by temporary contamination caused by the method used to collect sap. Concentrations of solutes in xylem sap (e.g., ACC) are also altered by changes in sap flow brought about by conventional methods of sap collection or by experimental treatments such as flooding the soil. Ways of for overcoming these problems are described together with a summary of preliminary results.     

Sperm‐mediated gene transfer: advances in sperm cell research and applications

Transgenic Research -     

Computational modelling and analysis of mechanical conditions on cell locomotion and cell–cell interaction

Between other parameters, cell migration is partially guided by the mechanical properties of its substrate. Although many experimental works have been developed to understand the effect of substrate mechanical properties on cell migration, accurate 3D cell locomotion models have not been presented yet. In this paper, we present a novel 3D model for cells migration. In the presented model, we assume that a cell follows two main processes: in the first process, it senses its interface with the substrate to determine the migration direction and in the second process, it exerts subsequent forces to move. In the presented model, cell traction forces are considered to depend on cell internal deformation during the sensing step. A random protrusion force is also considered which may change cell migration direction and/or speed. The presented model was applied for many cases of migration of the cells. The obtained results show high agreement with the available experimental and numerical data.