Single virus genomics: a new tool for virus discovery

Whole genome amplification and sequencing of single microbial cells has significantly influenced genomics and microbial ecology by facilitating direct recovery of reference genome data. However, viral genomics continues to suffer due to difficulties related to the isolation and characterization of uncultivated viruses. We report here on a new approach called 'Single Virus Genomics', which enabled the isolation and complete genome sequencing of the first single virus particle. A mixed assemblage comprised of two known viruses; E. coli bacteriophages lambda and T4, were sorted using flow cytometric methods and subsequently immobilized in an agarose matrix. Genome amplification was then achieved in situ via multiple displacement amplification (MDA). The complete lambda phage genome was recovered with an average depth of coverage of approximately 437X. The isolation and genome sequencing of uncultivated viruses using Single Virus Genomics approaches will enable researchers to address questions about viral diversity, evolution, adaptation and ecology that were previously unattainable.     

TRITON: a graphical tool for ligand-binding protein engineering

The new version of the TRITON program provides user-friendly graphical tools for modeling protein mutants using the external program MODELLER and for docking ligands into the mutants using the external program AutoDock. TRITON can now be used to design ligand-binding proteins, to study protein-ligand binding mechanisms or simply to dock any ligand to a protein. Availability: Executable files of TRITON are available free of charge for academic users at http://ncbr.chemi.muni.cz/triton/     

MALDI mass spectrometry for direct tissue analysis: a new tool for biomarker discovery

The direct analysis of tissue sections by MALDI mass spectrometry holds tremendous potential for biomarker discovery. This technology routinely allows many hundreds of proteins to be detected over a mass range of approximately 2000-70 000 Da while maintaining the spatial localization of the proteins detected. This technology has been applied to a wide range of tissue samples, including human glioma tissue and human lung tumor tissue. In many cases, biostatistical analyses of the resulting protein profiles revealed patterns that correlated with disease state and/or clinical endpoints. This work serves as a review of recent applications and summarizes the current state of technology.     

Mini-TnhlyAs: a new tool for the construction of secreted fusion proteins

A simple and efficient procedure for the construction of secreted fusion proteins inEscherichia coli is described that uses a new minitransposon, termed TnhlyAs, carrying the secretion signal (HlyAs) ofE. coli hemolysin (HlyA). This transposon permits the generation of random gene fusions encoding proteins that carry the HlyAs at their C-termini. For the construction of model gene fusions we usedlacZ, encoding the cytoplasmicβ-galactosidase (β-Gal), andphoA, encoding the periplasmic alkaline phosphatase, as target genes. Our data suggest that allβ-Gal-HlyAs fusion proteins generated are secreted, albeit with varying efficiencies, by the HlyB/HlyD/TolC hemolysin secretion machinery under Sec-proficient conditions. In contrast, the PhoA-HlyAs fusion proteins are efficiently secreted in asecA mutant strain only under SecA-deficient conditions.     

SDAR: a practical tool for graphical analysis of two-dimensional data

ABSTRACT: BACKGROUND: Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Some tasks in this context may be performed with generic software such as spreadsheet programs which are available ubiquitously, others may require more specialised software that requires paid licences. Additionally, more complex software packages typically require more time by the individual user to understand and operate. Practical and convenient graphical data analysis software in Java with a user-friendly interface are rare. RESULTS: We have developed SDAR, a Java application to analyse two-dimensional data with an intuitive graphical user interface. A smart ASCII parser allows import of data into SDAR without particular format requirements. The centre piece of SDAR is the Java class GraphPanel which provides methods for generic tasks of data visualisation. Data can be manipulated and analysed with respect to the most common operations experienced in an experimental biochemical laboratory. Images of the data plots can be generated in SVG-, TIFF- or PNG-format. Data exported by SDAR is annotated with commands compatible with the Grace software. CONCLUSION: Since SDAR is implemented in Java, it is truly cross-platform compatible. The software is easy to install, and very convenient to use judging by experience in our own laboratories. It is freely available to academic users at http://www.structuralchemistry.org/pcsb/. To download SDAR, users will be asked for their name, institution and email address. A manual, as well as the source code of the GraphPanel class can also be downloaded from this site.     

Mini-TnhlyAs: a new tool for the construction of secreted fusion proteins

A simple and efficient procedure for the construction of secreted fusion proteins inEscherichia coli is described that uses a new minitransposon, termed TnhlyAs, carrying the secretion signal (HlyAs) ofE. coli hemolysin (HlyA). This transposon permits the generation of random gene fusions encoding proteins that carry the HlyAs at their C-termini. For the construction of model gene fusions we usedlacZ, encoding the cytoplasmic-galactosidase (-Gal), andphoA, encoding the periplasmic alkaline phosphatase, as target genes. Our data suggest that all-Gal-HlyAs fusion proteins generated are secreted, albeit with varying efficiencies, by the HlyB/HlyD/TolC hemolysin secretion machinery under Sec-proficient conditions. In contrast, the PhoA-HlyAs fusion proteins are efficiently secreted in asecA mutant strain only under SecA-deficient conditions.     

RingdateR: A statistical and graphical tool for crossdating

Crossdating is the defining technique of dendrochronology, ensuring that all measurements in a dataset are annually resolved and absolutely dated. This level of accuracy allows for the development of high-resolution environmental reconstructions of climate, disturbance, and productivity not only in trees, but also in other ring-forming organisms including fish, corals, and bivalves. However, crossdating is a laborious process and can be a significant bottleneck in the development of new chronologies, especially when attempting to find matches among undated, dead-collected material. Several software packages have been developed to aid in crossdating, yet efficiently identifying matches among large numbers of dead-collected samples of unknown antiquity remains a gap in functionality. To address this issue we present RingdateR, a new stand-alone and web-based application for statistical and graphical crossdating that shares many key features with established crossdating applications, but has been optimised for crossdating large collections of dead-collected material. The workflow allows users to load undated measurement time series in common file types (e.g. pos, lps, csv, and xlsx) to be matched against one another (i.e. pairwise analyses) or against an existing chronology. RingdateR provides graphical tools to help identify false or missed rings remaining in the matched measurement time series and to evaluate the impact of the newly crossdated measurement time series on chronology statistics. Whilst the decision as to whether a sample is correctly crossdated ultimately lies with careful visual inspection and discretion of the investigator, guidance from RingdateR can greatly expedite the process, especially when building chronologies that involve dead-collected samples.     

Activation tagging in plants: a tool for gene discovery

A significant limitation of classical loss-of-function screens designed to dissect genetic pathways is that they rarely uncover genes that function redundantly, are compensated by alternative metabolic or regulatory circuits, or which have an additional role in early embryo or gametophyte development. Activation T-DNA tagging is one approach that has emerged in plants to help circumvent these potential problems. This technique utilises a T-DNA sequence that contains four tandem copies of the cauliflower mosaic virus (CaMV) 35S enhancer sequence. This element enhances the expression of neighbouring genes either side of the randomly integrated T-DNA tag, resulting in gain-of-function phenotypes. Activation tagging has identified a number of genes fundamental to plant development, metabolism and disease resistance in Arabidopsis. This review provides selected examples of these discoveries to highlight the utility of this technology. The recent development of activation tagging strategies for other model plant systems and the construction of new more sophisticated vectors for the generation of conditional alleles are also discussed. These recent advances have significantly expanded the horizons for gain-of-function genetics in plants.     

Peptidomimetics, a synthetic tool of drug discovery

The demand for modified peptides with improved stability profiles and pharmacokinetic properties is driving extensive research effort in this field. Many structural modifications of peptides guided by rational design and molecular modeling have been established to develop novel synthetic approaches. Recent advances in the synthesis of conformationally restricted building blocks and peptide bond isosteres are discussed.     

PROFILEGRAPH: an interactive graphical tool for protein sequence analysis

The computer program PROFILEGRAPH, a graphical interactive toolfor the analysis of amino acid sequences, is described. Themain task of the program is to integrate a variety of sliding-windowmethods into a single user-friendly shell. The program allowsthe user to combine any amino acid specific parameter with aselection of several possible types of analysis and to plotthe resulting graph in one of several windows on the screen.It is also possible to calculate the moment of the amino acidspecific parameter for a given secondary structure and to displayboth the absolute moment value and the moment angle relativeto a reference residue. Also included are several utilitiesthat facilitate visual analysis of protein primary structureslike, for example, helical-wheel diagrams. It is possible toadapt the majority of published sliding-window analysis proceduresfor use with PROFILEGRAPH.     

Cryo-EM as a powerful tool for drug discovery

The recent revolution in cryo-EM has produced an explosion of structures at near-atomic or better resolution. This has allowed cryo-EM structures to provide visualization of bound small-molecule ligands in the macromolecules, and these new structures have provided unprecedented insights into the molecular mechanisms of complex biochemical processes. They have also had a profound impact on drug discovery, defining the binding modes and mechanisms of action of well-known drugs as well as driving the design and development of new compounds. This review will summarize and highlight some of these structures. Most excitingly, the latest cryo-EM technology has produced structures at 1.2 Å resolution, further solidifying cryo-EM as a powerful tool for drug discovery. Therefore, cryo-EM will play an ever-increasing role in drug discovery in the coming years.     

Comparative genomics as a tool for gene discovery

With the increasing availability of data from multiple eukaryotic genome sequencing projects, attention has focused on interspecific comparisons to discover novel genes and transcribed genomic sequences. Generally, these extrinsic strategies combine ab initio gene prediction with expression and/or homology data to identify conserved gene candidates between two or more genomes. Interspecific sequence analyses have proven invaluable for the improvement of existing annotations, automation of annotation, and identification of novel coding regions and splice variants. Further, comparative genomic approaches hold the promise of improved prediction of terminal or small exons, microRNA precursors, and small peptide-encoding open reading frames--sequence elements that are difficult to identify through purely intrinsic methodologies in the absence of experimental data.     

Temporal graphical models for cross-species gene regulatory network discovery

Many genes and biological processes function in similar ways across different species. Cross-species gene expression analysis, as a powerful tool to characterize the dynamical properties of the cell, has found a number of applications, such as identifying a conserved core set of cell cycle genes. However, to the best of our knowledge, there is limited effort on developing appropriate techniques to capture the causality relations between genes from time-series microarray data across species. In this paper, we present hidden Markov random field regression with L(1) penalty to uncover the regulatory network structure for different species. The algorithm provides a framework for sharing information across species via hidden component graphs and is able to incorporate domain knowledge across species easily. We demonstrate our method on two synthetic datasets and apply it to discover causal graphs from innate immune response data.     

SNPicker: a graphical tool for primer picking in designing mutagenic endonuclease restriction assays

Simple, low-cost and accurate genotyping methods for single nucleotide polymorphisms (SNPs) are in high demand in the post-genome-sequencing era. We present a graphical tool called SNPicker, implemented in Java, which significantly facilitates the design of mutagenic endonuclease restriction assays. SNPicker uses the online NEB REBASE to automatically scan for all possible designs of mutagenic primers that can facilitate the picking of mismatched PCR primers to artificially introduce or abolish a restriction site at the target SNP site. We successfully applied SNPicker in designing endonuclease restriction assays for 14 SNPs for the MTHFR gene, the Coagulation Factor II gene and the Coagulation Factor V gene. The SNP assays designed using SNPicker were cross-validated using the MassARRAY technology.     

PrepMS: TOF MS data graphical preprocessing tool

We introduce a simple-to-use graphical tool that enables researchers to easily prepare time-of-flight mass spectrometry data for analysis. For ease of use, the graphical executable provides default parameter settings, experimentally determined to work well in most situations. These values, if desired, can be changed by the user. PrepMS is a stand-alone application made freely available (open source), and is under the General Public License (GPL). Its graphical user interface, default parameter settings, and display plots allow PrepMS to be used effectively for data preprocessing, peak detection and visual data quality assessment. AVAILABILITY: Stand-alone executable files and Matlab toolbox are available for download at: http://sourceforge.net/projects/prepms     

Arrow Plot: a new graphical tool for selecting up and down regulated genes and genes differentially expressed on sample subgroups

ABSTRACT: BACKGROUND: A common task in analyzing microarray data is to determine which genes are differentially expressed across two (or more) kind of tissue samples or samples submitted under experimental conditions. Several statistical methods have been proposed to accomplish this goal, generally based on measures of distance between classes. It is well known that biological samples are heterogeneous because of factors such as molecular subtypes or genetic background that are often unknown to the experimenter. For instance, in experiments which involve molecular classification of tumors it is important to identify significant subtypes of cancer. Bimodal or multimodal distributions often reflect the presence of subsamples mixtures. Consequently, there can be genes differentially expressed on sample subgroups which are missed if usual statistical approaches are used. In this paper we propose a new graphical tool which not only identifies genes with up and down regulations, but also genes with differential expression in different subclasses, that are usually missed if current statistical methods are used. This tool is based on two measures of distance between samples, namely the overlapping coefficient (OVL) between two densities and the area under the receiver operating characteristic (ROC) curve. The methodology proposed here was implemented in the open-source R software. RESULTS: This method was applied to a publicly available dataset, as well as to a simulated dataset. We compared our results with the ones obtained using some of the standard methods for detecting differentially expressed genes, namely Welch t-statistic, fold change (FC), rank products (RP), average difference (AD), weighted average difference (WAD), moderated t-statistic (modT), intensity-based moderated t-statistic (ibmT), significance analysis of microarrays (samT) and area under the ROC curve (AUC). On both datasets all differentially expressed genes with bimodal or multimodal distributions were not selected by all standard selection procedures. We also compared our results with (i) area between ROC curve and rising area (ABCR) and (ii) the test for not proper ROC curves (TNRC). We found our methodology more comprehensive, because it detects both bimodal and multimodal distributions and different variances can be considered on both samples. Another advantage of our method is that we can analyze graphically the behavior of different kinds of differentially expressed genes. CONCLUSION: Our results indicate that the arrow plot represents a new flexible and useful tool for the analysis of gene expression profiles from microarrays.     

Labile hypertension and jogging: new diagnostic tool or spurious discovery?

A labile hypertensive black man reviews his own personal history of hypertension, based on intensive self-study. The evidence suggests that aerobic isotonic exercise (jogging) depresses labile pressure values, forcing them down to near basal levels and preventing a rise to previous blood pressure levels for several hours.