Supporting interdisciplinary case studies: development and implementation of a joint learning environment for students in forensic science and criminal law

Scientific reporting and communication is a challenging topic for which traditional study programs do not offer structured learning activities on a regular basis. This paper reports on the development and implementation of a web application and associated learning activities that intend to raise the awareness of reporting and communication issues among students in forensic science and law. The project covers interdisciplinary case studies based on a library of written reports about forensic examinations. Special features of the web framework, in particular a report annotation tool, support the design of various individual and group learning activities that focus on the development of knowledge and competence in dealing with reporting and communication challenges in the students' future areas of professional activity.

Spatio-temporal transcript profiling of rice roots and shoots in response to phosphate starvation and recovery.

Using rice (Oryza sativa) as a model crop species, we performed an in-depth temporal transcriptome analysis, covering the early and late stages of Pi deprivation as well as Pi recovery in roots and shoots, using next-generation sequencing. Analyses of 126 paired-end RNA sequencing libraries, spanning nine time points, provided a comprehensive overview of the dynamic responses of rice to Pi stress. Differentially expressed genes were grouped into eight sets based on their responses to Pi starvation and recovery, enabling the complex signaling pathways involved in Pi homeostasis to be untangled. A reference annotation-based transcript assembly was also generated, identifying 438 unannotated loci that were differentially expressed under Pi starvation. Several genes also showed induction of unannotated splice isoforms under Pi starvation. Among these, PHOSPHATE2 (PHO2), a key regulator of Pi homeostasis, displayed a Pi starvation-induced isoform, which was associated with increased translation activity. In addition, microRNA (miRNA) expression profiles after long-term Pi starvation in roots and shoots were assessed, identifying 20 miRNA families that were not previously associated with Pi starvation, such as miR6250. In this article, we present a comprehensive spatio-temporal transcriptome analysis of plant responses to Pi stress, revealing a large number of potential key regulators of Pi homeostasis in plants.

An integrated encyclopedia of DNA elements in the human genome.

The human genome encodes the blueprint of life, but the function of the vast majority of its nearly three billion bases is unknown. The Encyclopedia of DNA Elements (ENCODE) project has systematically mapped regions of transcription, transcription factor association, chromatin structure and histone modification. These data enabled us to assign biochemical functions for 80% of the genome, in particular outside of the well-studied protein-coding regions. Many discovered candidate regulatory elements are physically associated with one another and with expressed genes, providing new insights into the mechanisms of gene regulation. The newly identified elements also show a statistical correspondence to sequence variants linked to human disease, and can thereby guide interpretation of this variation. Overall, the project provides new insights into the organization and regulation of our genes and genome, and is an expansive resource of functional annotations for biomedical research.

Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution.

We present here a draft genome sequence of the red jungle fowl, Gallus gallus. Because the chicken is a modern descendant of the dinosaurs and the first non-mammalian amniote to have its genome sequenced, the draft sequence of its genome--composed of approximately one billion base pairs of sequence and an estimated 20,000-23,000 genes--provides a new perspective on vertebrate genome evolution, while also improving the annotation of mammalian genomes. For example, the evolutionary distance between chicken and human provides high specificity in detecting functional elements, both non-coding and coding. Notably, many conserved non-coding sequences are far from genes and cannot be assigned to defined functional classes. In coding regions the evolutionary dynamics of protein domains and orthologous groups illustrate processes that distinguish the lineages leading to birds and mammals. The distinctive properties of avian microchromosomes, together with the inferred patterns of conserved synteny, provide additional insights into vertebrate chromosome architecture.

The Gene Ontology in 2010: extensions and refinements.

The Gene Ontology (GO) Consortium (http://www.geneontology.org) (GOC) continues to develop, maintain and use a set of structured, controlled vocabularies for the annotation of genes, gene products and sequences. The GO ontologies are expanding both in content and in structure. Several new relationship types have been introduced and used, along with existing relationships, to create links between and within the GO domains. These improve the representation of biology, facilitate querying, and allow GO developers to systematically check for and correct inconsistencies within the GO. Gene product annotation using GO continues to increase both in the number of total annotations and in species coverage. GO tools, such as OBO-Edit, an ontology-editing tool, and AmiGO, the GOC ontology browser, have seen major improvements in functionality, speed and ease of use.

The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes.

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit - a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/

The GENCODE pseudogene resource.

BACKGROUND: Pseudogenes have long been considered as nonfunctional genomic sequences. However, recent evidence suggests that many of them might have some form of biological activity, and the possibility of functionality has increased interest in their accurate annotation and integration with functional genomics data. RESULTS: As part of the GENCODE annotation of the human genome, we present the first genome-wide pseudogene assignment for protein-coding genes, based on both large-scale manual annotation and in silico pipelines. A key aspect of this coupled approach is that it allows us to identify pseudogenes in an unbiased fashion as well as untangle complex events through manual evaluation. We integrate the pseudogene annotations with the extensive ENCODE functional genomics information. In particular, we determine the expression level, transcription-factor and RNA polymerase II binding, and chromatin marks associated with each pseudogene. Based on their distribution, we develop simple statistical models for each type of activity, which we validate with large-scale RT-PCR-Seq experiments. Finally, we compare our pseudogenes with conservation and variation data from primate alignments and the 1000 Genomes project, producing lists of pseudogenes potentially under selection. CONCLUSIONS: At one extreme, some pseudogenes possess conventional characteristics of functionality; these may represent genes that have recently died. On the other hand, we find interesting patterns of partial activity, which may suggest that dead genes are being resurrected as functioning non-coding RNAs. The activity data of each pseudogene are stored in an associated resource, psiDR, which will be useful for the initial identification of potentially functional pseudogenes.

Evaluer la peur de tomber chez les personnes âgées à domicile: Un modèle qualitatif

Cet article (2006) décrit la démarche qui a fondé le développement de l'instrument d'évaluation de la peur de tomber à travers des "portraits" chez des personnes âgées vivant à domicile "chuteuses ou non chuteuses" (non publiés). Une analyse qualitative originale a été développée dans ce contexte la QUAPA (QUAlitative Pattern Analysis): une analyse des patterns permettant de décrire les différents degrés d'intensité auxquels la peur de tomber est décrites par les personnes âgées elles-mêmes. Cet instrument se base sur une validité "écologique". Il s'ancre dans le vécu des personnes âgées tel qu'il est rapporté et décrit par elles. L'évaluation de la peur de tomber réalisée à l'aide de ces portraits doit être confrontée à celle effectuée à l'aide d'autres instruments validés et largement utilisés dans le domaine de l'évaluation de la peur de tomber: FES, FES-I. Autres références publiées: Piot-Ziegler C (2002). La peur de tomber: comment l'évaluer ? Actualités Psychologiques, 12, 51-68. In C. Piot-Ziegler, (Vol. Ed.), Actualités Psychologiques: Vol. 12. Les chutes chez les personnes âgées: une approche interdisciplinaire (pp. 1-120). Piot-Ziegler C, Cuttelod T et Santiago M (2007). Définir la "peur de tomber" chez les personnes âgées à domicile. Etude qualitative. Bulletin de psychologie, 60(6), nov-déc, 515-525. Références non publiées: Piot-Ziegler C, Cuttelod T (2004). Evaluation de la peur de tomber: portraits issus du vécu des patients (questionnaire-portraits pour évaluer la peur de tomber chez des personnes âgées « chuteuses et non chuteuses ». Piot-Ziegler C, Cuttelod T (2004). Evaluation de la peur de tomber: portraits issus du vécu des patients (Guide de l'utilisateur).L'objectif de cet article (rédigé en 2006) est de dégager un modèle permettant d'évaluer l'intensité de la peur de tomber chez des personnes âgées vivant à domicile sur la base de données qualitatives récoltées dans une première étude (étude publiée: Piot-Ziegler et al. 2007).Dans cette étude qualitative, 58 entretiens semi-structurés ont été réalisés chez des personnes âgées vivant à domicile. Les thèmes abordés par les personnes âgées montrent que la peur de tomber se définit transversalement à travers les conséquences fonctionnelles, sociales et psychologiques consécutives à leur(s) chute(s).Afin d'explorer la possible existence de patterns, permettant de rendre compte de l'intensité de la peur de tomber, une méthode originale d'analyse qualitative (non informatisée) a été développée: la QUAPA (QUAlitative Patterns Analysis).Les résultats de cette analyse montrent l'existence d'une cohérence interne transversale (patterns) dans les trois dimensions définissant la peur de tomber (fonctionnelles, sociales et psychologiques) en fonction de l'intensité de la peur de tomber. Quatre patterns différents ont été mis en évidence. Ils débouchent sur une modélisation rendant compte des différents degrés d'intensité à laquelle la peur de tomber s'exprime chez les personnes âgées.Ce modèle en "patterns" permet d'évaluer la peur de tomber ressentie par une personne âgée en fonction des conséquences fonctionnelles, sociales et psychologiques à long terme consécutives à une ou plusieurs chutes. Ce modèle devra être mis à l'épreuve sur un grand échantillon de personnes âgées vivant à domicile ou dans d'autres espaces de vie (institutions), mais il constitue une alternative originale aux questionnaires utilisés actuellement qui se basent principalement sur le concept d'efficacité personnelle. Surtout il se base sur le vécu tel qu'il est rapporté par les personnes âgées elles-mêmes.Pour obtenir le questionnaire d'évaluation par "portraits" de la peur de tomber (e.mail: Chantal.Piot-Ziegler@unil.ch). Les documents suivants seront mis à disposition.Piot-Ziegler et C, Cuttelod T (2004). Evaluation de la peur de tomber: portraits issus du vécu des patients (questionnaire-portraits pour évaluer la peur de tomber chez des personnes âgées « chuteuses et non chuteuses » (Questionnaire).Piot-Ziegler et C, Cuttelod T (2004). Evaluation de la peur de tomber: portraits issus du vécu des patients (Guide de l'utilisateur).Mots-clés : chute ; peur de tomber ; personne âgée ; domicile ; recherche; approche compréhensive ; évaluation ; méthode qualitative ; pattern, QUAPA.

EuroPhenome: a repository for high-throughput mouse phenotyping data.

The broad aim of biomedical science in the postgenomic era is to link genomic and phenotype information to allow deeper understanding of the processes leading from genomic changes to altered phenotype and disease. The EuroPhenome project (http://www.EuroPhenome.org) is a comprehensive resource for raw and annotated high-throughput phenotyping data arising from projects such as EUMODIC. EUMODIC is gathering data from the EMPReSSslim pipeline (http://www.empress.har.mrc.ac.uk/) which is performed on inbred mouse strains and knock-out lines arising from the EUCOMM project. The EuroPhenome interface allows the user to access the data via the phenotype or genotype. It also allows the user to access the data in a variety of ways, including graphical display, statistical analysis and access to the raw data via web services. The raw phenotyping data captured in EuroPhenome is annotated by an annotation pipeline which automatically identifies statistically different mutants from the appropriate baseline and assigns ontology terms for that specific test. Mutant phenotypes can be quickly identified using two EuroPhenome tools: PhenoMap, a graphical representation of statistically relevant phenotypes, and mining for a mutant using ontology terms. To assist with data definition and cross-database comparisons, phenotype data is annotated using combinations of terms from biological ontologies.

Auto-évaluation de la qualité d'un site Internet de pharmacie hospitalière

Introduction: L'unité d'Assistance Pharmaceutique de la Pharmacie des HUG fonctionne comme centre d'information sur les médicaments et gère des informations mises à disposition sur le web. Celles-ci sont destinées prioritairement au personnel soignant des HUG et accessibles sur le site intranet/Internet (http://www.hcuge.ch/Pharmacie), mis en service en 1998. L'objectif de ce travail était d'évaluer la qualité de l'information du site intranet/Internet et d'y apporter les améliorations nécessaires. Méthode: Le site intranet/Internet de la pharmacie des HUG a été évalué en automne 2004 à l'aide de 2 outils : NetScoring : grille d'évaluation de la qualité de l'information de santé sur Internet (http://www.chu-rouen.fr/netscoring/). Elle comporte 49 critères répartis en 8 catégories. Chaque critère est noté sur une échelle de 5 occurrences puis pondéré selon son importance (multiplication par 3 si le critère est essentiel, par 2 s'il est important ou par 1 s'il est mineur). Analyse AMDEC : méthode permettant de séquencer un processus et d'en Analyser les Modes de Défaillance, leur Effet et leur Criticité (Qual Saf Health Care 2005 :14(2);93-98). Un score est attribué à chaque mode de défaillance identifié en terme de fréquence, de sévérité et de détectabilité. La multiplication des 3 scores fournit un résultat global de criticité (indice de criticité IC, max. 810), permettant de hiérarchiser les risques. Résultats: Etat des lieux NetScoring : La qualité globale du site intranet/Internet était bonne (202 pts/312). Les points forts concernaient la pertinence et l'utilité du site, la qualité du contenu, du moteur de recherche et du design, la rapidité de chargement du site, la sélection des liens externes proposés et le respect du secret médical. Les faiblesses résidaient dans l'absence de politique de mise à jour régulière, d'annotation systématique de l'état d'actualisation des documents, d'un comité éditorial et scientifique, de mots-clés en anglais et d'une liste permettant l'identification des auteurs. Analyse AMDEC : Quatre catégories (création du document, conversion, structure du site et publication du document) et 19 modes de défaillances ont été caractérisés. Trois modes de défaillance étaient associés à un IC important: erreurs lors de la création d'un document (IC 256), information inadéquate car pratique non validée ou recommandation non généralisable (IC 147) et absence de relecture après la conversion du document en format publiable (ex : PDF) (IC 144). Mesures correctives: Une procédure standard (SOP) a été élaborée pour la gestion du site intranet/Internet. Le format standard des informations (initiales de l'auteur, dates de création et de mise à jour, logo de la pharmacie), la validation et la politique de mise à jour des documents ainsi que la procédure d'archivage y sont clairement définis. Une fiche de suivi accompagnant chaque document a été créée pour la traçabilité de toutes les modifications effectuées et la fréquence de révision à respecter. Discussion et conclusion Cette étude a permis de déterminer et de quantifier les points critiques à améliorer sur le site intranet/Internet de la Pharmacie des HUG. Les mesures correctives entreprises doivent permettre d'améliorer les principales faiblesses et défaillances mises en évidence. La mise en place d'un comité éditorial et scientifique devra être évaluée à l'avenir. Le NetScoring et l'analyse AMDEC sont des outils utiles pour l'évaluation et l'amélioration continue de la qualité d'un site Internet, sous réserve d'une interprétation critique des résultats obtenus avant la mise en place de mesures correctives. Malgré une approche totalement différente, ces outils ont permis de mettre en évidence des lacunes similaires.

Combining RT-PCR-seq and RNA-seq to catalog all genic elements encoded in the human genome.

Within the ENCODE Consortium, GENCODE aimed to accurately annotate all protein-coding genes, pseudogenes, and noncoding transcribed loci in the human genome through manual curation and computational methods. Annotated transcript structures were assessed, and less well-supported loci were systematically, experimentally validated. Predicted exon-exon junctions were evaluated by RT-PCR amplification followed by highly multiplexed sequencing readout, a method we called RT-PCR-seq. Seventy-nine percent of all assessed junctions are confirmed by this evaluation procedure, demonstrating the high quality of the GENCODE gene set. RT-PCR-seq was also efficient to screen gene models predicted using the Human Body Map (HBM) RNA-seq data. We validated 73% of these predictions, thus confirming 1168 novel genes, mostly noncoding, which will further complement the GENCODE annotation. Our novel experimental validation pipeline is extremely sensitive, far more than unbiased transcriptome profiling through RNA sequencing, which is becoming the norm. For example, exon-exon junctions unique to GENCODE annotated transcripts are five times more likely to be corroborated with our targeted approach than with extensive large human transcriptome profiling. Data sets such as the HBM and ENCODE RNA-seq data fail sampling of low-expressed transcripts. Our RT-PCR-seq targeted approach also has the advantage of identifying novel exons of known genes, as we discovered unannotated exons in ~11% of assessed introns. We thus estimate that at least 18% of known loci have yet-unannotated exons. Our work demonstrates that the cataloging of all of the genic elements encoded in the human genome will necessitate a coordinated effort between unbiased and targeted approaches, like RNA-seq and RT-PCR-seq.

BiBIL fait peau neuve

Six ans après la dernière migration, BiBIL - la Bibliographie Biblique Informatisée de Lausanne - accueille ses utilisateurs avec une nouvelle interface conviviale et de nouvelles fonctions.

Comparative genome analysis of Pseudomonas knackmussii B13, the first bacterium known to degrade chloroaromatic compounds.

Pseudomonas knackmussii B13 was the first strain to be isolated in 1974 that could degrade chlorinated aromatic hydrocarbons. This discovery was the prologue for subsequent characterization of numerous bacterial metabolic pathways, for genetic and biochemical studies, and which spurred ideas for pollutant bioremediation. In this study, we determined the complete genome sequence of B13 using next generation sequencing technologies and optical mapping. Genome annotation indicated that B13 has a variety of metabolic pathways for degrading monoaromatic hydrocarbons including chlorobenzoate, aminophenol, anthranilate and hydroxyquinol, but not polyaromatic compounds. Comparative genome analysis revealed that B13 is closest to Pseudomonas denitrificans and Pseudomonas aeruginosa. The B13 genome contains at least eight genomic islands [prophages and integrative conjugative elements (ICEs)], which were absent in closely related pseudomonads. We confirm that two ICEs are identical copies of the 103 kb self-transmissible element ICEclc that carries the genes for chlorocatechol metabolism. Comparison of ICEclc showed that it is composed of a variable and a 'core' region, which is very conserved among proteobacterial genomes, suggesting a widely distributed family of so far uncharacterized ICE. Resequencing of two spontaneous B13 mutants revealed a number of single nucleotide substitutions, as well as excision of a large 220 kb region and a prophage that drastically change the host metabolic capacity and survivability.

The origins, evolution, and functional potential of alternative splicing in vertebrates.

Alternative splicing (AS) has the potential to greatly expand the functional repertoire of mammalian transcriptomes. However, few variant transcripts have been characterized functionally, making it difficult to assess the contribution of AS to the generation of phenotypic complexity and to study the evolution of splicing patterns. We have compared the AS of 309 protein-coding genes in the human ENCODE pilot regions against their mouse orthologs in unprecedented detail, utilizing traditional transcriptomic and RNAseq data. The conservation status of every transcript has been investigated, and each functionally categorized as coding (separated into coding sequence [CDS] or nonsense-mediated decay [NMD] linked) or noncoding. In total, 36.7% of human and 19.3% of mouse coding transcripts are species specific, and we observe a 3.6 times excess of human NMD transcripts compared with mouse; in contrast to previous studies, the majority of species-specific AS is unlinked to transposable elements. We observe one conserved CDS variant and one conserved NMD variant per 2.3 and 11.4 genes, respectively. Subsequently, we identify and characterize equivalent AS patterns for 22.9% of these CDS or NMD-linked events in nonmammalian vertebrate genomes, and our data indicate that functional NMD-linked AS is more widespread and ancient than previously thought. Furthermore, although we observe an association between conserved AS and elevated sequence conservation, as previously reported, we emphasize that 30% of conserved AS exons display sequence conservation below the average score for constitutive exons. In conclusion, we demonstrate the value of detailed comparative annotation in generating a comprehensive set of AS transcripts, increasing our understanding of AS evolution in vertebrates. Our data supports a model whereby the acquisition of functional AS has occurred throughout vertebrate evolution and is considered alongside amino acid change as a key mechanism in gene evolution.

Comparative genome analysis of Pseudomonas knackmussii B13, the first bacterium known to degrade chloroaromatic compounds.

Pseudomonas knackmussii B13 was the first strain to be isolated in 1974 that could degrade chlorinated aromatic hydrocarbons. This discovery was the prologue for subsequent characterization of numerous bacterial metabolic pathways, for genetic and biochemical studies, and which spurred ideas for pollutant bioremediation. In this study, we determined the complete genome sequence of B13 using next generation sequencing technologies and optical mapping. Genome annotation indicated that B13 has a variety of metabolic pathways for degrading monoaromatic hydrocarbons including chlorobenzoate, aminophenol, anthranilate and hydroxyquinol, but not polyaromatic compounds. Comparative genome analysis revealed that B13 is closest to Pseudomonas denitrificans and Pseudomonas aeruginosa. The B13 genome contains at least eight genomic islands [prophages and integrative conjugative elements (ICEs)], which were absent in closely related pseudomonads. We confirm that two ICEs are identical copies of the 103 kb self-transmissible element ICEclc that carries the genes for chlorocatechol metabolism. Comparison of ICEclc showed that it is composed of a variable and a 'core' region, which is very conserved among proteobacterial genomes, suggesting a widely distributed family of so far uncharacterized ICE. Resequencing of two spontaneous B13 mutants revealed a number of single nucleotide substitutions, as well as excision of a large 220 kb region and a prophage that drastically change the host metabolic capacity and survivability.