DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data

Background DCE@urLAB is a software application for analysis of dynamic contrast-enhanced magnetic resonance imaging data (DCE-MRI). The tool incorporates a friendly graphical user interface (GUI) to interactively select and analyze a region of interest (ROI) within the image set, taking into account the tissue concentration of the contrast agent (CA) and its effect on pixel intensity. Results Pixel-wise model-based quantitative parameters are estimated by fitting DCE-MRI data to several pharmacokinetic models using the Levenberg-Marquardt algorithm (LMA). DCE@urLAB also includes the semi-quantitative parametric and heuristic analysis approaches commonly used in practice. This software application has been programmed in the Interactive Data Language (IDL) and tested both with publicly available simulated data and preclinical studies from tumor-bearing mouse brains. Conclusions A user-friendly solution for applying pharmacokinetic and non-quantitative analysis DCE-MRI in preclinical studies has been implemented and tested. The proposed tool has been specially designed for easy selection of multi-pixel ROIs. A public release of DCE@urLAB, together with the open source code and sample datasets, is available at http://www.die.upm.es/im/archives/DCEurLAB/ webcite.

Modelo basado en técnicas de procesamiento de lenguaje natural para extraer y anotar información de publicaciones científicas

La rápida evolución experimentada en los últimos años por las tecnologías de Internet ha estimulado la proliferación de recursos software en varias disciplinas científicas, especialmente en bioinformática. En la mayoría de los casos, la tendencia actual es publicar dichos recursos como servicios accesibles libremente a través de Internet, utilizando tecnologías y patrones de diseño definidos para la implementación de Arquitecturas Orientadas a Servicios (SOA). La combinación simultánea de múltiples servicios dentro de un mismo flujo de trabajo abre la posibilidad de crear aplicaciones potencialmente más útiles y complejas. La integración de dichos servicios plantea grandes desafíos, tanto desde un punto de vista teórico como práctico, como por ejemplo, la localización y acceso a los recursos disponibles o la coordinación entre ellos. En esta tesis doctoral se aborda el problema de la identificación, localización, clasificación y acceso a los recursos informáticos disponibles en Internet. Con este fin, se ha definido un modelo genérico para la construcción de índices de recursos software con información extraída automáticamente de artículos de la literatura científica especializada en un área. Este modelo consta de seis fases que abarcan desde la selección de las fuentes de datos hasta el acceso a los índices creados, pasando por la identificación, extracción, clasificación y “curación” de la información relativa a los recursos. Para verificar la viabilidad, idoneidad y eficiencia del modelo propuesto, éste ha sido evaluado en dos dominios científicos diferentes—la BioInformática y la Informática Médica—dando lugar a dos índices de recursos denominados BioInformatics Resource Inventory (BIRI) y electronic-Medical Informatics Repository of Resources(e-MIR2) respectivamente. Los resultados obtenidos de estas aplicaciones son presentados a lo largo de la presente tesis doctoral y han dado lugar a varias publicaciones científicas en diferentes revistas JCR y congresos internacionales. El impacto potencial y la utilidad de esta tesis doctoral podrían resultar muy importantes teniendo en cuenta que, gracias a la generalidad del modelo propuesto, éste podría ser aplicado en cualquier disciplina científica. Algunas de las líneas de investigación futuras más relevantes derivadas de este trabajo son esbozadas al final en el último capítulo de este libro. ABSTRACT The rapid evolution experimented in the last years by the Internet technologies has stimulated the proliferation of heterogeneous software resources in most scientific disciplines, especially in the bioinformatics area. In most cases, current trends aim to publish those resources as services freely available over the Internet, using technologies and design patterns defined for the implementation of Service-Oriented Architectures (SOA). Simultaneous combination of various services into the same workflow opens the opportunity of creating more complex and useful applications. Integration of services raises great challenges, both from a theoretical to a practical point of view such as, for instance, the location and access to the available resources or the orchestration among them. This PhD thesis deals with the problem of identification, location, classification and access to informatics resources available over the Internet. On this regard, a general model has been defined for building indexes of software resources, with information extracted automatically from scientific articles from the literature specialized in the area. Such model consists of six phases ranging from the selection of data sources to the access to the indexes created, covering the identification, extraction, classification and curation of the information related to the software resources. To verify the viability, feasibility and efficiency of the proposed model, it has been evaluated in two different scientific domains—Bioinformatics and Medical Informatics—producing two resources indexes named BioInformatics Resources Inventory (BIRI) and electronic-Medical Informatics Repository of Resources (e-MIR2) respectively. The results and evaluation of those systems are presented along this PhD thesis, and they have produced different scientific publications in several JCR journals and international conferences. The potential impact and utility of this PhD thesis could be of great relevance considering that, thanks to the generality of the proposed model, it could be successfully extended to any scientific discipline. Some of the most relevant future research lines derived from this work are outlined at the end of this book.

Molecular tools to improve chestnut management: El Bierzo as a case study

The European chestnut (Castanea sativa Mill.) is a multipurpose species that has been widely cultivated around the Mediterranean basin since ancient times. New varieties were brought to the Iberian Peninsula during the Roman Empire, which coexist since then with native populations that survived the last glaciation. The relevance of chestnut cultivation has being steadily growing since the Middle Ages, until the rural decline of the past century put a stop to this trend. Forest fires and diseases were also major factors. Chestnut cultivation is gaining momentum again due to its economic (wood, fruits) and ecologic relevance, and represents currently an important asset in many rural areas of Europe. In this Thesis we apply different molecular tools to help improve current management strategies. For this study we have chosen El Bierzo (Castile and Leon, NW Spain), which has a centenary tradition of chestnut cultivation and management, and also presents several unique features from a genetic perspective (next paragraph). Moreover, its nuts are widely appreciated in Spain and abroad for their organoleptic properties. We have focused our experimental work on two major problems faced by breeders and the industry: the lack of a fine-grained genetic characterization and the need for new strategies to control blight disease. To characterize with sufficient detail the genetic diversity and structure of El Bierzo orchards, we analyzed DNA from 169 trees grafted for nut production covering the entire region. We also analyzed 62 nuts from all traditional varieties. El Bierzo constitutes an outstanding scenario to study chestnut genetics and the influence of human management because: (i) it is located at one extreme of the distribution area; (ii) it is a major glacial refuge for the native species; (iii) it has a long tradition of human management (since Roman times, at least); and (iv) its geographical setting ensures an unusual degree of genetic isolation. Thirteen microsatellite markers provided enough informativeness and discrimination power to genotype at the individual level. Together with an unexpected level of genetic variability, we found evidence of genetic structure, with three major gene pools giving rise to the current population. High levels of genetic differentiation between groups supported this organization. Interestingly, genetic structure does not match with spatial boundaries, suggesting that the exchange of material and cultivation practices have strongly influenced natural gene flow. The microsatellite markers selected for this study were also used to classify a set of 62 samples belonging to all traditional varieties. We identified several cases of synonymies and homonymies, evidencing the need to substitute traditional classification systems with new tools for genetic profiling. Management and conservation strategies should also benefit from these tools. The avenue of high-throughput sequencing technologies, combined with the development of bioinformatics tools, have paved the way to study transcriptomes without the need for a reference genome. We took advantage of RNA sequencing and de novo assembly tools to determine the transcriptional landscape of chestnut in response to blight disease. In addition, we have selected a set of candidate genes with high potential for developing resistant varieties via genetic engineering. Our results evidenced a deep transcriptional reprogramming upon fungal infection. The plant hormones ET and JA appear to orchestrate the defensive response. Interestingly, our results also suggest a role for auxins in modulating such response. Many transcription factors were identified in this work that interact with promoters of genes involved in disease resistance. Among these genes, we have conducted a functional characterization of a two major thaumatin-like proteins (TLP) that belongs to the PR5 family. Two genes encoding chestnut cotyledon TLPs have been previously characterized, termed CsTL1 and CsTL2. We substantiate here their protective role against blight disease for the first time, including in silico, in vitro and in vivo evidence. The synergy between TLPs and other antifungal proteins, particularly endo-p-1,3-glucanases, bolsters their interest for future control strategies based on biotechnological approaches.

A supervised cooperative learning system for early detection of language disorders

The Quality of Life of a person may depend on early attention to his neurodevel-opment disorders in childhood. Identification of language disorders under the age of six years old can speed up required diagnosis and/or treatment processes. This paper details the enhancement of a Clinical Decision Support System (CDSS) aimed to assist pediatricians and language therapists at early identification and re-ferral of language disorders. The system helps to fine tune the Knowledge Base of Language Delays (KBLD) that was already developed and validated in clinical routine with 146 children. Medical experts supported the construction of Gades CDSS by getting scientific consensus from literature and fifteen years of regis-tered use cases of children with language disorders. The current research focuses on an innovative cooperative model that allows the evolution of the KBLD of Gades through the supervised evaluation of the CDSS learnings with experts¿ feedback. The deployment of the resulting system is being assessed under a mul-tidisciplinary team of seven experts from the fields of speech therapist, neonatol-ogy, pediatrics, and neurology.

New aspects and strategies for methane mitigation from ruminants

The growing demand for sustainable animal production is compelling researchers to explore the potential approaches to reduce emissions of greenhouse gases from livestock that are mainly produced by enteric fermentation. Some potential solutions, for instance, the use of chemical inhibitors to reduce methanogenesis, are not feasible in routine use due to their toxicity to ruminants, inhibition of efficient rumen function or other transitory effects. Strategies, such as use of plant secondary metabolites and dietary manipulations have emerged to reduce the methane emission, but these still require extensive research before these can be recommended and deployed in the livestock industry sector. Furthermore, immunization vaccines for methanogens and phages are also under investigation for mitigation of enteric methanogenesis. The increasing knowledge of methanogenic diversity in rumen, DNA sequencing technologies and bioinformatics have paved the way for chemogenomic strategies by targeting methane producers. Chemogenomics will help in finding target enzymes and proteins, which will further assist in the screening of natural as well chemical inhibitors. The construction of a methanogenic gene catalogue through these approaches is an attainable objective. This will lead to understand the microbiome function, its relation with the host and feeds, and therefore, will form the basis of practically viable and eco-friendly methane mitigation approaches, while improving the ruminant productivity.

Structuring research methods and data with the research object model: genomics workflows as a case study

Background: One of the main challenges for biomedical research lies in the computer-assisted integrative study of large and increasingly complex combinations of data in order to understand molecular mechanisms. The preservation of the materials and methods of such computational experiments with clear annotations is essential for understanding an experiment, and this is increasingly recognized in the bioinformatics community. Our assumption is that offering means of digital, structured aggregation and annotation of the objects of an experiment will provide necessary meta-data for a scientist to understand and recreate the results of an experiment. To support this we explored a model for the semantic description of a workflow-centric Research Object (RO), where an RO is defined as a resource that aggregates other resources, e.g., datasets, software, spreadsheets, text, etc. We applied this model to a case study where we analysed human metabolite variation by workflows. Results: We present the application of the workflow-centric RO model for our bioinformatics case study. Three workflows were produced following recently defined Best Practices for workflow design. By modelling the experiment as an RO, we were able to automatically query the experiment and answer questions such as “which particular data was input to a particular workflow to test a particular hypothesis?”, and “which particular conclusions were drawn from a particular workflow?”. Conclusions: Applying a workflow-centric RO model to aggregate and annotate the resources used in a bioinformatics experiment, allowed us to retrieve the conclusions of the experiment in the context of the driving hypothesis, the executed workflows and their input data. The RO model is an extendable reference model that can be used by other systems as well.

Analysis of the suitability of existing medical ontologies for building a scalable semantic interoperability solution supporting multi-site collaboration in oncology

Semantic interoperability is essential to facilitate efficient collaboration in heterogeneous multi-site healthcare environments. The deployment of a semantic interoperability solution has the potential to enable a wide range of informatics supported applications in clinical care and research both within as ingle healthcare organization and in a network of organizations. At the same time, building and deploying a semantic interoperability solution may require significant effort to carryout data transformation and to harmonize the semantics of the information in the different systems. Our approach to semantic interoperability leverages existing healthcare standards and ontologies, focusing first on specific clinical domains and key applications, and gradually expanding the solution when needed. An important objective of this work is to create a semantic link between clinical research and care environments to enable applications such as streamlining the execution of multi-centric clinical trials, including the identification of eligible patients for the trials. This paper presents an analysis of the suitability of several widely-used medical ontologies in the clinical domain: SNOMED-CT, LOINC, MedDRA, to capture the semantics of the clinical trial eligibility criteria, of the clinical trial data (e.g., Clinical Report Forms), and of the corresponding patient record data that would enable the automatic identification of eligible patients. Next to the coverage provided by the ontologies we evaluate and compare the sizes of the sets of relevant concepts and their relative frequency to estimate the cost of data transformation, of building the necessary semantic mappings, and of extending the solution to new domains. This analysis shows that our approach is both feasible and scalable.

Respuesta transcripcional de Populus a bifenilos policlorados: Aspectos aplicados a la fitorremediación

La degradación del suelo ha adquirido una magnitud preocupante. Los métodos tradicionales de descontaminación, son costosos e insuficientes. La fitorremediación representa una alternativa eficaz, de bajo coste, respetuosa con el medio ambiente, que además mejora las propiedades del suelo, si bien ha habido desarrollos relevantes en la última década. Desde el punto de vida científico, el reto principal es descifrar las rutas metabólicas implicadas en respuesta a contaminantes y comprender su regulación. Esta información es imprescindible si aspiramos a mejorar las capacidades naturales de algunas especies vegetales para remediar los suelos contaminados. Los estudios de esta Tesis se han centrado en Populus, el mejor modelo forestal disponible a raíz de la secuenciación de su genoma completo. Por otra parte, Populus tiene una gran capacidad natural para la degradación de contaminantes orgánicos, lo que explica su predominio en los programas forestales de fitorremediación que se desarrollan actualmente. Hemos elegido en concreto al híbrido Populus tremula x P. alba, por la facilidad con que se cultiva y su particular interés biotecnológico. La presente Tesis plantea un estudio comprehensivo de la respuesta molecular a bifenilos policlorados (PCBs), una familia de contaminantes orgánicos persistentes de particular relevancia a escala mundial. Se ha utilizado para ello una aproximación transcriptómica, basada en tecnología RNA-seq, para identificar los genes implicados en el metabolismo de los compuestos in planta y cuantificar sus niveles de activación en distintas situaciones controladas. La tesis pretende asimismo definir el control transcripcional subyacente a la respuesta bioquímica frente a este tipo de contaminantes. Resulta sorprendente que dicha respuesta sea prácticamente desconocida a nivel molecular, a pesar de su gran potencial aplicado en el contexto de la tecnología fitorremediadora. Para desarrollar este proyecto aplicamos a nuestros cultivos de chopo híbridos concentraciones diferentes de Aroclor 1221, una mezcla de PCBs muy utilizada a nivel comercial durante décadas, su uso está prohibido hoy internacionalmente. Y tomamos muestras de RNA a dos concentraciones y dos momentos distintos de exposición al contaminante, generando así una matriz de cuatro elementos con sus controles correspondientes. Con el fin de incrementar la especificidad de nuestro análisis, consideramos sobre todo los genes diferencialmente expresados más significativos según cuatro algoritmos estadísticos distintos. Por otra parte, realizamos análisis funcionales con herramientas bioinformáticas basadas en comparaciones de secuencias y en redes de co-expresión génica. La respuesta de los genes de particular interés fue validada mediante tecnología qRT-PCR (reacción de la polimerasa en cadena cuantitativa en tiempo real). Se trata del primer estudio comprehensivo de la respuesta de un organismo vegetal ante la presencia de PCBs. Este estudio nos ha permitido identificar una cantidad considerable de genes estructurales y reguladores, definiendo nuevos factores de transcripción cuya expresión es proporcional a la concentración de contaminante en el medio o al tiempo de exposición al mismo. Los análisis de correlación nos permiten afirmar en que la respuesta metabólica a PCBs, incluyendo posibles rutas degradadoras, participan en al menos quince factores de transcripción y unas cuarenta proteínas o enzimas que resultan particularmente inducidas. Entre las familias implicadas destacan los citocromos P450, la glutatión transferasas, las deshidrogenasas reductasas (short-chain dehydrogenase reductase) y las proteínas MDR (multi-drug resistance). Mientras que los factores de transcripción encontrados pertenecen a la familia de ZF-TF, MYBs, WRKYs entre otros. También identificamos proteínas de función desconocida que no se habían vinculado previamente a este tipo de respuestas en plantas, como la CSP (cold-shock domain proteins). Para estudiar su posible relación con la presencia de PCBs, se caracterizó un gen de esta familia detectado mediante espectrometría de masas en tándem (MS/MS) a partir de mapas IEF x SDS-PAGE (isoelectro focusing x sodium dodecyl sulphate- polyacrylamide gel electrophoresis) de alta resolución. Mediante qRT-PCR pudimos confirmar la inducción del gen correspondiente, ortólogo a PtCSP4 de P. trichocarpa (Potri.004g172600), en respuesta a Aroclor 1221. El análisis fenotípico de las líneas transgénicas de Arabidopsis thaliana que sobre-expresaba la proteína CSP de chopo híbrido confirmó un papel para la misma tolerancia a PCBs, posiblemente a través de mecanismos reguladores que activan proteínas MDR. Este trabajo, además de aportar datos novedosos sobre los mecanismos moleculares desencadenados por la presencia de un PCB en Populus, utilizado aquí como sistema modelo. Con ello se demuestra el potencial de las especies arbóreas no solo como agentes descontaminantes, ya explotado comercialmente, sino también como fuente potencial de genes interesantes. Entre los genes identificados en esta Tesis hay candidatos evidentes a participar en mecanismos de tolerancia al estrés inducido por la contaminación y también rutas metabólicas degradadores de PCBs. Precisamente la posibilidad de degradar al contaminante confiere particular interés a este tipo de estudios frente a la fitorremediación de metales pesados y otros contaminantes elementales. La comparación de los datos generados en este estudio con estudios análogos que se realicen en el futuro con otras especies y xenobióticos, contribuirán a definir mejor la respuesta de las plantas ante la contaminación orgánica y mejorar su potencial descontaminante. ABSTRACT Soil degradation has acquired a disturbing magnitude. Traditional methods of decontamination are expensive and insufficient. Phytoremediation represent an effective alternative, low cost, respectful of the environment, that also improves soil properties, although there have been relevant developments in the last decade. From a life scientist, the challenge is to decipher the major metabolic pathways involved in response to pollutants and understand their regulation. This information is essential if we desire to enhance the natural abilities of some plant species to remediate contaminated soils. This thesis studies have focused on Populus, the best available forestry model following the sequencing of the entire genome. Moreover, Populus has a natural ability to degrade organic pollutants, which explains its predominance in phytoremediation forestry programs currently being developed. We have chosen specifically to hybrid Populus tremula x P. alba, the ease with which it is grown and its particular biotechnological interest. This thesis presents a comprehensive study of the molecular response to polychlorinated biphenyls (PCBs), a family of persistent organic pollutants of particular relevance worldwide. It has been used for a transcriptomic approach using RNA-seq technology, to identify genes involved in the metabolism of compounds in plant and quantify their levels of activation in different controlled situations. The thesis also aims to define the underlying transcriptional control the biochemical response to these pollutants. It is surprising that the response is virtually unknown at the molecular level, despite its great potential applied in the context of phytoremediation technology. To develop this project we applied our hybrid poplar crops different concentrations of Aroclor 1221, a mixture of PCBs widely used commercially for decades, its use is now banned internationally. And we RNA samples at two different concentrations and times of exposure to the pollutant, generating an array of four elements with their corresponding controls. In order to increase the specificity of our analysis, we consider mainly the most significant differentially expressed genes in four different statistical algorithms. Moreover, functional analyzes conducted with bioinformatics tools based on sequence comparisons and networks gene co-expression. The response of genes of particular interest was validated by qRT-PCR (polymerase reaction chain in real-time quantitative. This is the first comprehensive study of the response of a plant organism in the presence of PCBs. This study allowed us to identify a considerable amount of structural and regulatory genes, defining new transcription factors whose expression is proportional to the concentration of contaminant in the middle or at the time of exposure. Correlation analyzes allow us to affirm that the metabolic response to PCBs, including possible degradative pathways, at least fifteen involved in transcription factors and forty proteins or enzymes which are particularly induced. Among the families involved include cytochromes P450, the glutathione transferases, dehydrogenases reductases (short -chain dehydrogenase reductase) and MDR proteins (multi - drug resistance). While transcription factors belong to the family found ZF-TF, MYBs, WRKYs among others. We also identify proteins of unknown function that had not been previously linked to such responses in plants such as CSP (cold- shock domain proteins). To study their possible relationship with the presence of PCBs, a gene in this family was characterized and was detected by tandem mass spectrometry (MS/MS) from maps IEF x SDS -PAGE (sodium dodecyl isoelectro x sulphate- polyacrylamide gel electrophoresis) of high resolution. By qRT -PCR could confirm the induction of the corresponding gene, ortholog to PtCSP4 of P. trichocarpa (Potri.004g172600), in response to Aroclor 1221. Phenotypic analysis of transgenic Arabidopsis thaliana lines over- expressing the protein CSP poplar hybrid confirmed a role for PCBs same tolerance, possibly through regulatory mechanisms activated MDR proteins. This work, in addition to providing new data on the molecular mechanisms triggered by the presence of PCBs in Populus, used here as a model system. Thus the potential of tree species not only as decontamination agents, and commercially exploited, but also as a potential source of interesting genes is shown. Among the genes identified in this thesis there are evident candidates to participate in tolerance mechanisms to stress induced by pollution and degrading metabolic pathways of PCBs. Precisely the possibility of degrading the pollutant attaches particular interest to this type of study off the phytoremediation of heavy metals and other elemental pollutants. The comparison of the data generated in this study with similar studies carried out in the future with other species and xenobiotics contribute to better define the response of plants to organic pollution and improve their decontamination potential.

Enhanced reproducibility of SADI web service workflows with Galaxy and Docke

Background: Semantic Web technologies have been widely applied in the life sciences, for example by data providers such as OpenLifeData and through web services frameworks such as SADI. The recently reported OpenLifeData2SADI project offers access to the vast OpenLifeData data store through SADI services. Findings: This article describes how to merge data retrieved from OpenLifeData2SADI with other SADI services using the Galaxy bioinformatics analysis platform, thus making this semantic data more amenable to complex analyses. This is demonstrated using a working example, which is made distributable and reproducible through a Docker image that includes SADI tools, along with the data and workflows that constitute the demonstration. Conclusions: The combination of Galaxy and Docker offers a solution for faithfully reproducing and sharing complex data retrieval and analysis workflows based on the SADI Semantic web service design patterns.

The underlying pathway structure of biochemical reaction networks

Bioinformatics is yielding extensive, and in some cases complete, genetic and biochemical information about individual cell types and cellular processes, providing the composition of living cells and the molecular structure of its components. These components together perform integrated cellular functions that now need to be analyzed. In particular, the functional definition of biochemical pathways and their role in the context of the whole cell is lacking. In this study, we show how the mass balance constraints that govern the function of biochemical reaction networks lead to the translation of this problem into the realm of linear algebra. The functional capabilities of biochemical reaction networks, and thus the choices that cells can make, are reflected in the null space of their stoichiometric matrix. The null space is spanned by a finite number of basis vectors. We present an algorithm for the synthesis of a set of basis vectors for spanning the null space of the stoichiometric matrix, in which these basis vectors represent the underlying biochemical pathways that are fundamental to the corresponding biochemical reaction network. In other words, all possible flux distributions achievable by a defined set of biochemical reactions are represented by a linear combination of these basis pathways. These basis pathways thus represent the underlying pathway structure of the defined biochemical reaction network. This development is significant from a fundamental and conceptual standpoint because it yields a holistic definition of biochemical pathways in contrast to definitions that have arisen from the historical development of our knowledge about biochemical processes. Additionally, this new conceptual framework will be important in defining, characterizing, and studying biochemical pathways from the rapidly growing information on cellular function.

Hsf1 and Hsp90 orchestrate temperature-dependent global transcriptional remodelling and chromatin architecture in Candida albicans

We thank Karim Gharbi and Urmi Trivedi for their assistance with RNA sequencing, carried out in the GenePool genomics facility (University of Edinburgh). We also thank Susan Fairley and Eduardo De Paiva Alves (Centre for Genome Enabled Biology and Medicine, University of Aberdeen) for help with the initial bioinformatics analysis. We thank Aaron Mitchell for kindly providing the ALS3 mutant, Julian Naglik for the gift of TR146 cells, and Jon Richardson for technical assistance. We thank the Genomics and Bioinformatics core of the Faculty of Health Sciences for Next Generation Sequencing and Bioinformatics support, the Information and Communication Technology Office at the University of Macau for providing access to a High Performance Computer and Jacky Chan and William Pang for their expert support on the High Performance Computer. Finally, we thank Amanda Veri for generating CaLC2928. M.D.L. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (Wellcome Trust 096072), R.A.F. by a Wellcome Trust-Massachusetts Institute of Technology (MIT) Postdoctoral Fellowship, L.E.C. by a Canada Research Chair in Microbial Genomics and Infectious Disease and by Canadian Institutes of Health Research Grants MOP-119520 and MOP-86452, A.J. P.B. was supported by the UK Biotechnology and Biological Sciences Research Council (BB/F00513X/1) and by the European Research Council (ERC-2009-AdG-249793-STRIFE), KHW is supported by the Science and Technology Development Fund of Macau S.A.R (FDCT) (085/2014/A2) and the Research and Development Administrative Office of the University of Macau (SRG2014-00003-FHS) and R.T.W. by the Burroughs Wellcome fund and NIH R15AO094406. Data availability RNA-sequencing data sets are available at ArrayExpress (www.ebi.ac.uk) under accession code E-MTAB-4075. ChIP-seq data sets are available at the NCBI SRA database (http://www.ncbi.nlm.nih.gov) under accession code SRP071687. The authors declare that all other data supporting the findings of this study are available within the article and its supplementary information files, or from the corresponding author upon request.

Characterization of human telomerase complex

Telomerase, a ribonucleoprotein complex, adds hexameric repeats called “telomeres” to the growing ends of chromosomal DNA. Characterization of mammalian telomerase has been elusive because of its low level of expression. We describe a bioinformatics approach to enrich and characterize the human telomerase complex. Using local sequence homology search methods, we detected similarity of the Tetrahymena p80 subunit of telomerase with the autoantigen Ro60. Antibodies to Ro60 immunoprecipitated the telomerase activity. Ro60 and p80 proteins were cross-recognizable by antibodies to either protein. Telomerase activity and the RNA component of telomerase complex were localized to a doublet in a native gel from the Ro60 antibody-precipitated material. The enriched material showed specific binding to a TTA GGG probe in vitro in an RNA template-dependent manner. Polyclonal antibodies to the doublet also immunoprecipitated the telomerase activity. These results suggest an evolutionary conservation of the telomerase proteins.

Radical SAM, a novel protein superfamily linking unresolved steps in familiar biosynthetic pathways with radical mechanisms: functional characterization using new analysis and information visualization methods

A novel protein superfamily with over 600 members was discovered by iterative profile searches and analyzed with powerful bioinformatics and information visualization methods. Evidence exists that these proteins generate a radical species by reductive cleavage of S-adenosylmethionine (SAM) through an unusual Fe-S center. The superfamily (named here Radical SAM) provides evidence that radical-based catalysis is important in a number of previously well- studied but unresolved biochemical pathways and reflects an ancient conserved mechanistic approach to difficult chemistries. Radical SAM proteins catalyze diverse reactions, including unusual methylations, isomerization, sulfur insertion, ring formation, anaerobic oxidation and protein radical formation. They function in DNA precursor, vitamin, cofactor, antibiotic and herbicide biosynthesis and in biodegradation pathways. One eukaryotic member is interferon-inducible and is considered a candidate drug target for osteoporosis; another is observed to bind the neuronal Cdk5 activator protein. Five defining members not previously recognized as homologs are lysine 2,3-aminomutase, biotin synthase, lipoic acid synthase and the activating enzymes for pyruvate formate-lyase and anaerobic ribonucleotide reductase. Two functional predictions for unknown proteins are made based on integrating other data types such as motif, domain, operon and biochemical pathway into an organized view of similarity relationships.

RHdb: the Radiation Hybrid database

Since July 1995, the European Bioinformatics Institute (EBI) has maintained RHdb (http://www.ebi.ac.uk/RHdb), a public database for radiation hybrid data. Radiation hybrid mapping is an important technique for determining high resolution maps. RHdb is also served by CORBA servers. The EBI is an Outstation of the European Molecular Biology Laboratory (EMBL).

The EMBL nucleotide sequence database

The EMBL Nucleotide Sequence Database (http://www.ebi.ac.uk/embl/) is maintained at the European Bioinformatics Institute (EBI) in an international collaboration with the DNA Data Bank of Japan (DDBJ) and GenBank at the NCBI (USA). Data is exchanged amongst the collaborating databases on a daily basis. The major contributors to the EMBL database are individual authors and genome project groups. Webin is the preferred web-based submission system for individual submitters, whilst automatic procedures allow incorporation of sequence data from large-scale genome sequencing centres and from the European Patent Office (EPO). Database releases are produced quarterly. Network services allow free access to the most up-to-date data collection via ftp, email and World Wide Web interfaces. EBI’s Sequence Retrieval System (SRS), a network browser for databanks in molecular biology, integrates and links the main nucleotide and protein databases plus many specialized databases. For sequence similarity searching a variety of tools (e.g. Blitz, Fasta, BLAST) are available which allow external users to compare their own sequences against the latest data in the EMBL Nucleotide Sequence Database and SWISS-PROT.