GDSCalc: A Web-Based Application for Evaluating Discrete Graph Dynamical Systems

Discrete dynamical systems are used to model various realistic systems in network science, from social unrest in human populations to regulation in biological networks. A common approach is to model the agents of a system as vertices of a graph, and the pairwise interactions between agents as edges. Agents are in one of a finite set of states at each discrete time step and are assigned functions that describe how their states change based on neighborhood relations. Full characterization of state transitions of one system can give insights into fundamental behaviors of other dynamical systems. In this paper, we describe a discrete graph dynamical systems (GDSs) application called GDSCalc for computing and characterizing system dynamics. It is an open access system that is used through a web interface. We provide an overview of GDS theory. This theory is the basis of the web application; i.e., an understanding of GDS provides an understanding of the software features, while abstracting away implementation details. We present a set of illustrative examples to demonstrate its use in education and research. Finally, we compare GDSCalc with other discrete dynamical system software tools. Our perspective is that no single software tool will perform all computations that may be required by all users; tools typically have particular features that are more suitable for some tasks. We situate GDSCalc within this space of software tools.     

Super-resolution fluorescence microscopy as a tool to study the nanoscale organization of chromosomes

Chromatin organization spans a wide range of structural complexity. Substructures at the 10-200nm scale are poorly characterized, especially in living cells, due to the limitations of electron microscopy and standard optical microscopy. Recently developed super-resolution fluorescence microscopy methods represent an exciting opportunity to access those substructures, and recent progress with these techniques has yielded insights into chromatin organization at different condensation stages. Recent studies have focused on confronting the challenges that are specific to chromatin super-resolution imaging, such as the high packing density of mitotic chromosomes and difficulties in interpreting interphase chromatin images. Building on these first results and with ongoing rapid technical advances in super-resolution fluorescence imaging there is great potential to uncover new features with unprecedented detail.     

imzML--a common data format for the flexible exchange and processing of mass spectrometry imaging data

The application of mass spectrometry imaging (MS imaging) is rapidly growing with a constantly increasing number of different instrumental systems and software tools. The data format imzML was developed to allow the flexible and efficient exchange of MS imaging data between different instruments and data analysis software. imzML data is divided in two files which are linked by a universally unique identifier (UUID). Experimental details are stored in an XML file which is based on the HUPO-PSI format mzML. Information is provided in the form of a 'controlled vocabulary' (CV) in order to unequivocally describe the parameters and to avoid redundancy in nomenclature. Mass spectral data are stored in a binary file in order to allow efficient storage. imzML is supported by a growing number of software tools. Users will be no longer limited to proprietary software, but are able to use the processing software best suited for a specific question or application. MS imaging data from different instruments can be converted to imzML and displayed with identical parameters in one software package for easier comparison. All technical details necessary to implement imzML and additional background information is available at www.imzml.org.     

Error evaluation in the laboratory testing process and laboratory information systems

BackgroundThe laboratory testing process consist of five analysis phases featuring the total testing process framework. Activities in laboratory process, including those of testing are error-prone and affect the use of laboratory information systems. This study seeks to identify error factors related to system use and the first and last phases of the laboratory testing process using a proposed framework known as total testing process-laboratory information systems.MethodsWe conducted a qualitative case study evaluation in two private hospitals and a medical laboratory. We collected data using interviews, observations, and document analysis methods involving physicians, nurses, an information technology officer, and the laboratory staff. We employed the proposed framework and Lean problem solving tools namely Value Stream Mapping and A3 for data analysis.ResultsErrors in laboratory information systems and the laboratory testing process were attributed to failure to fulfill user requirements, poor cooperation between the information technology unit and laboratory, inconsistency of software design in system integration, errors during inter-system data transmission, and lack of motivation in system use. The error factors are related to system development elements, namely, latent failures that considerably affected the information quality and system use. Errors in system development were also attributed to poor service quality.ConclusionsComplex laboratory testing process and laboratory information systems require rigorous evaluation in minimizing errors and ensuring patient safety. The proposed framework and Lean approach are applicable for evaluating the laboratory testing process and laboratory information systems in a rigorous, comprehensive, and structured manner.     

Biotransformation of Various Alkanes Using the Escherichia coli Expressing an Alkane Hydroxylase System from Gordonia sp. TF6

Biotransformation using alkane-oxidizing bacteria or their alkane hydroxylase (AH) systems have been little studied at the molecular level. We have cloned and sequenced genes from Gordonia sp. TF6 encoding an AH system, alkB2 (alkane 1-monooxygenase), rubA3 (rubredoxin), rubA4 (rubredoxin), and rubB (rubredoxin reductase). When expressed in Escherichia coli, these genes allowed the construction of biotransformation systems for various alkanes. Normal alkanes with 5 to 13 carbons were good substrates for this biotransformation, and oxidized to their corresponding 1-alkanols. Surprisingly, cycloalkanes with 5 to 8 carbons were oxidized to their corresponding cycloalkanols as well. This is the first study to achieve biotransformation of alkanes using the E. coli expressing the minimum component genes of the AH system. Our biotransformation system has facilitated assays and analysis leading to improvement of AH systems, and has indicated a cycloalkane oxidation pathway in microorganisms for the first time.     

Critical evaluation of the JDO API for the persistence and portability requirements of complex biological databases

Background  

Complex biological database systems have become key computational tools used daily by scientists and researchers. Many of these systems must be capable of executing on multiple different hardware and software configurations and are also often made available to users via the Internet. We have used the Java Data Object (JDO) persistence technology to develop the database layer of such a system known as the SigPath information management system. SigPath is an example of a complex biological database that needs to store various types of information connected by many relationships.     

A robust in vivo positive-readout system for monitoring siRNA delivery to xenograft tumors

Delivering small interfering RNA (siRNA) to tumors is the major technical hurdle that prevents the advancement of siRNA-based cancer therapy. One of the difficulties associated with the development of clinically relevant delivery systems is the lack of reliable tools for monitoring siRNA delivery to tumors in vivo. We describe here a novel, positive-readout system where siRNA-mediated target knockdown elicits a rapid and robust increase of reporter activity. Using the positive-readout system, we created (1) β-galactosidase-based tumor models that allow the detection of target knockdown in 1%-2% of tumor cells and can distinguish between tumor areas where effective target knockdown occurs versus tumor areas that are not accessible to delivery, and (2) luciferase-based tumor models that allow the quantitative assessment of a large number of delivery systems. Using these positive-readout models, we screened a number of literature-described siRNA delivery systems and identified lipid nanoparticles as a promising delivery platform for siRNA-based cancer therapy.     

Indirect reciprocity and the evolution of “moral signals”

Signals regarding the behavior of others are an essential element of human moral systems and there are important evolutionary connections between language and large-scale cooperation. In particular, social communication may be required for the reputation tracking needed to stabilize indirect reciprocity. Additionally, scholars have suggested that the benefits of indirect reciprocity may have been important for the evolution of language and that social signals may have coevolved with large-scale cooperation. This paper investigates the possibility of such a coevolution. Using the tools of evolutionary game theory, we present a model that incorporates primitive “moral signaling” into a simple setting of indirect reciprocity. This model reveals some potential difficulties for the evolution of “moral signals.” We find that it is possible for “moral signals” to evolve alongside indirect reciprocity, but without some external pressure aiding the evolution of a signaling system, such a coevolution is unlikely.     

Autogenesis: the evolution of replicative systems

Questions concerning the nature and origin of living systems and the hierarchy of their evolutionary processes are considered, and several problems which arise in connection with formerly developed theories--the autopoiesis of Maturana & Varela, the POL theory of Haukioja and the earlier developed evolutionary theory of Csányi--are discussed. The organization of living systems, the use of informational terms and the question how reproduction can enter into their characterization, problems of autonomy and identity are included in the list. It is suggested that replication--a copying process achieved by a special network of interrelatedness of components and component-producing processes that produces the same network as that which produced them--characterizes the living organization. The information "used" in this copying process, whether it is stored by special means or distributed in the whole system, is called replicative information. A theoretical model is introduced for the spontaneous emergence of replicative organization, called autogenesis. Autogenesis commences in a system by an organized "small" subsystem, referred to as AutoGenetic System Precursor (AGSP), which conveys replicative information to the system. During autogenesis, replicative information increases in system and compartment(s) form. A compartment is the co-replicating totality of components. The end state of autogenesis is an invariantly self-replicating organization which is unable to undergo further intrinsic organizational changes. It is suggested that replicative unities--such as living organisms--evolve via autogenesis. Levels of evolution emerge as a consequence of the relative autonomy of the autogenetic unities. On the next level they can be considered as components endowed with functions and a new autogenetic process can commence. Thus evolution proceeds towards its end state through the parallel autogenesis of the various levels. In terms of applications, ontogenesis is dealt with in detail as an autogenetic process as is the autogenesis of the biosphere and the global system.     

HIV-1 Neutralization Profile and Plant-Based Recombinant Expression of Actinohivin,an Env Glycan-Specific Lectin Devoid of T-Cell Mitogenic Activity

The development of a topical microbicide blocking the sexual transmission of HIV-1 is urgently needed to control the global HIV/AIDS pandemic. The actinomycete-derived lectin actinohivin (AH) is highly specific to a cluster of high-mannose-type glycans uniquely found on the viral envelope (Env). Here, we evaluated AH''s candidacy toward a microbicide in terms of in vitro anti-HIV-1 activity, potential side effects, and recombinant producibility. Two validated assay systems based on human peripheral blood mononuclear cell (hPBMC) infection with primary isolates and TZM-bl cell infection with Env-pseudotyped viruses were employed to characterize AH''s anti-HIV-1 activity. In hPMBCs, AH exhibited nanomolar neutralizing activity against primary viruses with diverse cellular tropisms, but did not cause mitogenicity or cytotoxicity that are often associated with other anti-HIV lectins. In the TZM-bl-based assay, AH showed broad anti-HIV-1 activity against clinically-relevant, mucosally transmitting strains of clades B and C. By contrast, clade A viruses showed strong resistance to AH. Correlation analysis suggested that HIV-1′s AH susceptibility is significantly linked to the N-glycans at the Env C2 and V4 regions. For recombinant (r)AH expression, we evaluated a tobacco mosaic virus-based system in Nicotiana benthamiana plants as a means to facilitate molecular engineering and cost-effective mass production. Biochemical analysis and an Env-mediated syncytium formation assay demonstrated high-level expression of functional rAH within six days. Taken together, our study revealed AH''s cross-clade anti-HIV-1 activity, apparent lack of side effects common to lectins, and robust producibility using plant biotechnology. These findings justify further efforts to develop rAH toward a candidate HIV-1 microbicide.     

Marine systems analysis and modeling

Oceanography and marine ecology have a considerable history in the use of computers for modeling both physical and ecological processes. With increasing stress on the marine environment due to human activities such as fisheries and numerous forms of pollution, the analysis of marine problems must increasingly and jointly consider physical, ecological and socio-economic aspects in a broader systems framework that transcends more traditional disciplinary boundaries. This often introduces difficult-to-quantify, “soft” elements, such as values and perceptions, into formal analysis. Thus, the problem domain combines a solid foundation in the physical sciences, with strong elements of ecological, socio-economic and political considerations. At the same time, the domain is also characterized by both a very large volume of some data, and an extremely datapoor situation for other variables, as well as a very high degree of uncertainty, partly due to the temporal and spatial heterogeneity of the marine environment. Consequently, marine systems analysis and management require tools that can integrate these diverse aspects into efficient information systems that can support research as well as planning and also policy- and decisionmaking processes. Supporting scientific research, as well as decision-making processes and the diverse groups and actors involved, requires better access and direct understanding of the information basis as well as easy-to-use, but powerful tools for analysis. Advanced information technology provides the tools to design and implement smart software where, in a broad sense, the emphasis is on the man-machine interface. Symbolic and analogous, graphical interaction, visual representation of problems, integrated data sources, and built-in domain knowledge can effectively support users of complex and complicated software systems. Integration, interaction, visualization and intelligence are key concepts that are discussed in detail, using an operational software example of a coastal water quality model. The model comprises components of a geographical information and mapping system, data bases, dynamic simulation models, and an integrated expert system. An interactive graphical user interface, dynamic visualization of model results, and a hyper-text-based help-and-explain system illustrate some of the features of new and powerful software tools for marine systems analysis and modeling.     

Biotransformation of various alkanes using the Escherichia coli expressing an alkane hydroxylase system from Gordonia sp. TF6

Biotransformation using alkane-oxidizing bacteria or their alkane hydroxylase (AH) systems have been little studied at the molecular level. We have cloned and sequenced genes from Gordonia sp. TF6 encoding an AH system, alkB2 (alkane 1-monooxygenase), rubA3 (rubredoxin), rubA4 (rubredoxin), and rubB (rubredoxin reductase). When expressed in Escherichia coli, these genes allowed the construction of biotransformation systems for various alkanes. Normal alkanes with 5 to 13 carbons were good substrates for this biotransformation, and oxidized to their corresponding 1-alkanols. Surprisingly, cycloalkanes with 5 to 8 carbons were oxidized to their corresponding cycloalkanols as well. This is the first study to achieve biotransformation of alkanes using the E. coli expressing the minimum component genes of the AH system. Our biotransformation system has facilitated assays and analysis leading to improvement of AH systems, and has indicated a cycloalkane oxidation pathway in microorganisms for the first time.     

Biocomplexity: adaptive behavior in complex stochastic dynamical systems

Existing methods of complexity research are capable of describing certain specifics of bio systems over a given narrow range of parameters but often they cannot account for the initial emergence of complex biological systems, their evolution, state changes and sometimes-abrupt state transitions. Chaos tools have the potential of reaching to the essential driving mechanisms that organize matter into living substances. Our basic thesis is that while established chaos tools are useful in describing complexity in physical systems, they lack the power of grasping the essence of the complexity of life. This thesis illustrates sensory perception of vertebrates and the operation of the vertebrate brain. The study of complexity, at the level of biological systems, cannot be completed by the analytical tools, which have been developed for non-living systems. We propose a new approach to chaos research that has the potential of characterizing biological complexity. Our study is biologically motivated and solidly based in the biodynamics of higher brain function. Our biocomplexity model has the following features, (1) it is high-dimensional, but the dimensionality is not rigid, rather it changes dynamically; (2) it is not autonomous and continuously interacts and communicates with individual environments that are selected by the model from the infinitely complex world; (3) as a result, it is adaptive and modifies its internal organization in response to environmental factors by changing them to meet its own goals; (4) it is a distributed object that evolves both in space and time towards goals that is continually re-shaping in the light of cumulative experience stored in memory; (5) it is driven and stabilized by noise of internal origin through self-organizing dynamics. The resulting theory of stochastic dynamical systems is a mathematical field at the interface of dynamical system theory and stochastic differential equations. This paper outlines several possible avenues to analyze these systems. Of special interest are input-induced and noise-generated, or spontaneous state-transitions and related stability issues.     

Effective use of course management systems to enhance student learning: Experimental Biology 2007

Course management systems are software packages that support teaching and learning by providing web-based tools, services, and resources. Electronic course management can facilitate course organization, teaching delivery, communication, collaboration, and assessment. This article reports on a symposium on the use of course management systems, presented by the Teaching of Physiology Section of the American Physiological Society, at the Experimental Biology Meeting of 2007.     

Can Gonadal Steroids Influence Cell Position in the Developing Brain?

The preoptic area/anterior hypothalamus (POA/AH) is a site where hormones dramatically influence development. The POA/AH is comprised of multiple subgroups, but little is known about the derivation of these subgroups during development. Results from several laboratories suggest that some cells in the POA/AH originate from progenitor cells in other regions of the developing nervous system. We are exploring pathways for migration in the developing POA/AH in two ways. First, we are examining the distribution of radial glial processes as potential migratory guides using immunocytochemistry. We have identified a transient pattern of radial glial processes from the lateral ventricles to the pial surface at the base of the POA/AH. Additionally, the expression of a molecule in radial glial processes originating in the third ventricle was decreased by prenatal treatment with testosterone. Second, we are utilizing time-lapse video microscopy in vitro to assess the extent and direction of movements of fluorescent dye-labeled cells at different ages in brain slice preparations from the POA/AH of developing rats. Data from these studies indicate that cell migration in the POA/AH includes movements along dorsal-ventral routes and from lateral to medial positions, in addition to the predicted medial to lateral pathway away from the third ventricle. Several researchers have examined effects of gonadal steroids on neurite outgrowth, cell differentiation, cell death, and synaptogenesis. The determination of cell position, however, may be a key event influenced by gonadal steroids earlier in development. The characterization of migratory pathways that contribute to permanent changes in brain structure and ultimately function is essential for unraveling the process of sexual differentiation.     

Recovering microbial genomes from metagenomes in hypersaline environments: The Good,the Bad and the Ugly

Current metagenomic tools allow the recovery of microbial genomes directly from the environment. This can be accomplished by binning metagenomic contigs according to their coverage and tetranucleotide frequency, followed by an estimation of the bin quality. The public availability of bioinformatics tools, together with the decreasing cost of next generation sequencing, are democratizing this powerful approach that is spreading from specialized research groups to the general public. Using metagenomes from hypersaline environments, as well as mock metagenomes composed of Archaea and Bacteria frequently found in these systems, we have analyzed the advantages and difficulties of the binning process in these extreme environments to tackle microbial population diversity. These extreme systems harbor relatively low species diversity but high intraspecific diversity, which can compromise metagenome assembly and therefore the whole binning process. The main goal is to compare the output of the binning process with what is previously known from the analyzed samples, based on years of study using different approaches. Several scenarios have been analyzed in detail: (i) a good quality bin from a species highly abundant in the environment; (ii) an intermediate quality bin with incongruences that can be solved by further analyses and manual curation, and (iii) a low-quality bin to investigate the failure to recover a very abundant microbial genome as well as some possible solutions. The latter can be considered the “great metagenomics anomaly” and is mainly due to assembly problems derived from the microdiversity of naturally co-existing populations in nature.