vHOG, a multispecies vertebrate ontology of homologous organs groups.

MOTIVATION: Most anatomical ontologies are species-specific, whereas a framework for comparative studies is needed. We describe the vertebrate Homologous Organs Groups ontology, vHOG, used to compare expression patterns between species.¦RESULTS: vHOG is a multispecies anatomical ontology for the vertebrate lineage. It is based on the HOGs used in the Bgee database of gene expression evolution. vHOG version 1.4 includes 1184 terms, follows OBO principles and is based on the Common Anatomy Reference Ontology (CARO). vHOG only describes structures with historical homology relations between model vertebrate species. The mapping to species-specific anatomical ontologies is provided as a separate file, so that no homology hypothesis is stated within the ontology itself. Each mapping has been manually reviewed, and we provide support codes and references when available. Availability and implementation: vHOG is available from the Bgee download site (http://bgee.unil.ch/), as well as from the OBO Foundry and the NCBO Bioportal websites.¦CONTACT: bgee@isb-sib.ch; frederic.bastian@unil.ch.

Ongoing and future developments at the Universal Protein Resource.

The primary mission of Universal Protein Resource (UniProt) is to support biological research by maintaining a stable, comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and querying interfaces freely accessible to the scientific community. UniProt is produced by the UniProt Consortium which consists of groups from the European Bioinformatics Institute (EBI), the Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). UniProt is comprised of four major components, each optimized for different uses: the UniProt Archive, the UniProt Knowledgebase, the UniProt Reference Clusters and the UniProt Metagenomic and Environmental Sequence Database. UniProt is updated and distributed every 4 weeks and can be accessed online for searches or download at http://www.uniprot.org.

Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'.

Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cross-species studies, in particular, have the power of identifying conserved, functionally important molecular processes. Validation of discoveries can now often be performed in readily available public data which frequently requires cross-platform studies.Cross-platform and cross-species analyses require matching probes on different microarray formats. This can be achieved using the information in microarray annotations and additional molecular biology databases, such as orthology databases. Although annotations and other biological information are stored using modern database models ( e. g. relational), they are very often distributed and shared as tables in text files, i.e. flat file databases. This common flat database format thus provides a simple and robust solution to flexibly integrate various sources of information and a basis for the combined analysis of heterogeneous gene expression profiles.Results: We provide annotationTools, a Bioconductor-compliant R package to annotate microarray experiments and integrate heterogeneous gene expression profiles using annotation and other molecular biology information available as flat file databases. First, annotationTools contains a specialized set of functions for mining this widely used database format in a systematic manner. It thus offers a straightforward solution for annotating microarray experiments. Second, building on these basic functions and relying on the combination of information from several databases, it provides tools to easily perform cross-species analyses of gene expression data.Here, we present two example applications of annotationTools that are of direct relevance for the analysis of heterogeneous gene expression profiles, namely a cross-platform mapping of probes and a cross-species mapping of orthologous probes using different orthology databases. We also show how to perform an explorative comparison of disease-related transcriptional changes in human patients and in a genetic mouse model.Conclusion: The R package annotationTools provides a simple solution to handle microarray annotation and orthology tables, as well as other flat molecular biology databases. Thereby, it allows easy integration and analysis of heterogeneous microarray experiments across different technological platforms or species.

Extended bottom-up proteomics with secreted aspartic protease Sap9.

We investigate the benefits and experimental feasibility of approaches enabling the shift from short (1.7kDa on average) peptides in bottom-up proteomics to about twice longer (~3.2kDa on average) peptides in the so-called extended bottom-up proteomics. Candida albicans secreted aspartic protease Sap9 has been selected for evaluation as an extended bottom-up proteomic-grade enzyme due to its suggested dibasic cleavage specificity and ease of production. We report the extensive characterization of Sap9 specificity and selectivity revealing that protein cleavage by Sap9 most often occurs in the vicinity of proximal basic amino acids, and in select cases also at basic and hydrophobic residues. Sap9 is found to cleave a large variety of proteins in a relatively short, ~1h, period of time and it is efficient in a broad pH range, including slightly acidic, e. g., pH5.5, conditions. Importantly, the resulting peptide mixtures contain representative peptides primarily in the target 3-7kDa range. The utility and advantages of this enzyme in routine analysis of protein mixtures are demonstrated and the limitations are discussed. Overall, Sap9 has a potential to become an enzyme of choice in an extended bottom-up proteomics, which is technically ready to complement the traditional bottom-up proteomics for improved targeted protein structural analysis and expanded proteome coverage. BIOLOGICAL SIGNIFICANCE: Advances in biological applications of mass spectrometry-based bottom-up proteomics are oftentimes limited by the extreme complexity of biological samples, e.g., proteomes or protein complexes. One of the reasons for it is in the complexity of the mixtures of enzymatically (most often using trypsin) produced short (<3kDa) peptides, which may exceed the analytical capabilities of liquid chromatography and mass spectrometry. Information on localization of protein modifications may also be affected by the small size of typically produced peptides. On the other hand, advances in high-resolution mass spectrometry and liquid chromatography have created an intriguing opportunity of improving proteome analysis by gradually increasing the size of enzymatically-derived peptides in MS-based bottom-up proteomics. Bioinformatics has already confirmed the envisioned advantages of such approach. The remaining bottle-neck is an enzyme that could produce longer peptides. Here, we report on the characterization of a possible candidate enzyme, Sap9, which may be considered for producing longer, e.g., 3-7kDa, peptides and lead to a development of extended bottom-up proteomics.

Sequencing and characterizing the genome of Estrella lausannensis as an undergraduate project: training students and biological insights.

With the widespread availability of high-throughput sequencing technologies, sequencing projects have become pervasive in the molecular life sciences. The huge bulk of data generated daily must be analyzed further by biologists with skills in bioinformatics and by "embedded bioinformaticians," i.e., bioinformaticians integrated in wet lab research groups. Thus, students interested in molecular life sciences must be trained in the main steps of genomics: sequencing, assembly, annotation and analysis. To reach that goal, a practical course has been set up for master students at the University of Lausanne: the "Sequence a genome" class. At the beginning of the academic year, a few bacterial species whose genome is unknown are provided to the students, who sequence and assemble the genome(s) and perform manual annotation. Here, we report the progress of the first class from September 2010 to June 2011 and the results obtained by seven master students who specifically assembled and annotated the genome of Estrella lausannensis, an obligate intracellular bacterium related to Chlamydia. The draft genome of Estrella is composed of 29 scaffolds encompassing 2,819,825 bp that encode for 2233 putative proteins. Estrella also possesses a 9136 bp plasmid that encodes for 14 genes, among which we found an integrase and a toxin/antitoxin module. Like all other members of the Chlamydiales order, Estrella possesses a highly conserved type III secretion system, considered as a key virulence factor. The annotation of the Estrella genome also allowed the characterization of the metabolic abilities of this strictly intracellular bacterium. Altogether, the students provided the scientific community with the Estrella genome sequence and a preliminary understanding of the biology of this recently-discovered bacterial genus, while learning to use cutting-edge technologies for sequencing and to perform bioinformatics analyses.

Algorithmic aspects of bio-inspired string operations

We present building blocks for algorithms for the efficient reduction of square factor, i.e. direct repetitions in strings. So the basic problem is this: given a string, compute all strings that can be obtained by reducing factors of the form zz to z. Two types of algorithms are treated: an offline algorithm is one that can compute a data structure on the given string in advance before the actual search for the square begins; in contrast, online algorithms receive all input only at the time when a request is made. For offline algorithms we treat the following problem: Let u and w be two strings such that w is obtained from u by reducing a square factor zz to only z. If we further are given the suffix table of u, how can we derive the suffix table for w without computing it from scratch? As the suffix table plays a key role in online algorithms for the detection of squares in a string, this derivation can make the iterated reduction of squares more efficient. On the other hand, we also show how a suffix array, used for the offline detection of squares, can be adapted to the new string resulting from the deletion of a square. Because the deletion is a very local change, this adaption is more eficient than the computation of the new suffix array from scratch.

In silico meets in vivo

A report of the 6th Georgia Tech-Oak Ridge National Lab International Conference on Bioinformatics 'In silico Biology: Gene Discovery and Systems Genomics', Atlanta, USA, 15-17 November, 2007.

Role of transcription factor PROX1 in colon cancer metastasis

Initiation and progression of most colorectal cancers (CRCs) are driven by hyper-activation of the canonical Wnt/ß-catenin/TCF signaling pathway. However, a basal level of activation of this pathway is necessary for intestinal cell homeostasis; thus only CRC-specific effectors of this pathway could be exploited as potential clinical targets. PROX1 is an evolutionary conserved transcription factor with multiple roles in several tissues in embryogenesis, and increasing relevance in cancer. PROX1 is a colon cancer-specific Wnt target in the intestine, thus it might represent a therapeutic target. The role of PROX1 in promoting the transition from early to highly-dysplastic adenoma was previously described [1], Importantly, tumor metastasis is a leading cause of cancer-related mortality. Frequently, micrometastases are already present in patients at the time of diagnosis, therefore better understanding of the mechanisms regulating growth of macrometastatic lesions is important for the development of novel treatment approaches. In this study we showed that PROX1 is expressed in colon cancer stem cell and promotes the outgrowth of metastatic lesions. Firstly, we analyzed the expression of PROX1 in advanced CRCs and their metastases. We found that PROX1 over-expression is a feature of microsatellite stable tumors (~85% of microsatellite stable (MSS) CRCs), which generally have worse prognosis in comparison to microsatellite unstable CRCs. Analysis of primary CRCs and corresponding metastatic lesions showed that PROX1 expression is conserved, or increased in metastases. Further bioinformatics analysis of tumor and metastases gene expression profiles showed that PROX1 is co- expressed with stem cell and progenitor markers. Moreover, in inducible ApcmLgr5-EGFP-lres-CreERT2 model, Prox1+ cells marked a sub-population of Lgr5+ stem cells and subsequent transient amplifying cell population. Orthotopic model of CRC and lung colonization assays in mice demonstrated that PROX1 promotes tumor cell outgrowth in metastatic lesions, while it has no effect on primary tumor growth, invasion, and survival in circulation or cell extravasation. In vitro, PROX1 expressing tumor cells demonstrated strongly increased capacity to form spheroids, and increased survival and proliferation under hypoxic or nutrient-deprivation conditions. By monitoring cellular respiration under these conditions, we found that PROX1 expressing cells exhibit a better metabolic adaptation to changes in fuel source. Autophagy inhibitors, prevented growth both in vitro and in vivo of PROX1 expressing cells. Importantly, conditional inactivation of PROX1 after the establishment of metastases prevented further growth of macroscopic lesions resulting in stable disease. In summary, we identified a novel mechanism underlying the ability of metastatic colon cancer stem and progenitor cells to survive and grow in target organs through metabolic adaptation. Our results establish PROX1 as a key factor of CRC metastatic disease where it promotes survival of metastatic colon cancer stem-like cells, through their metabolic adaptation in sub-optimal microenvironments - L'initiation et la progression de la plupart des cancers colorectaux (CRC) sont entraînées par une hyper-activation de la voie métabolique Wnt/ß- caténine/TCF. Toutefois, un niveau d'activation minimal de Wnt est nécessaire pour l'homéostasie des cellules intestinales ; ainsi seuls des effecteurs spécifiques du CRC- de cette voie pourraient être exploités comme des cibles cliniques potentielles. PROX1 est un facteur de transcription évolutif conservé avec de multiples rôles dans plusieurs tissus durant l'embryogenèse et une pertinence croissante dans le cancer. PROX1 est une cible Wnt spécifique dans le cancer de l'intestin, donc il pourrait représenter une cible thérapeutique. Le rôle de PROX1 durant l'évolution de la maladie d'un stade précoce jusqu'à l'adénome hautement dysplasique a été décrit précédemment. Surtout, la métastase des tumeurs est une cause majeure de mortalité liée au cancer. Souvent, les micro-métastases sont déjà présentes chez les patients au moment du diagnostic, c'est pourquoi une meilleure compréhension des mécanismes régulant la croissance des lésions macrométastatiques est importante pour le développement de nouvelles approches thérapeutiques. Dans cette étude, nous avons prouvé que PROX1 est exprimé dans les cellules souches du cancer du côlon et favorise l'apparition de lésions métastatiques. Nous avons d'abord analysé l'expression de PROX1 dans des CRC avancés ainsi que dans leurs métastases. Nous avons constaté que la surexpression de PROX1 est une caractéristique des tumeurs stables microsatellites (~85% du MSS CRC), qui ont généralement un pronostic défavorable par rapport aux microsatellites CRC instables. L'analyse des CRC primaires et de leurs métastases liées a montré que l'expression de PROX1 est conservée, voire augmentée dans les métastases. A l'aide d'une base de données de tumeurs et métastases, nous avons observé une co- régulation de PROX1 entre cellules souches et marqueurs de progéniteurs mais pas avec des cellules différenciées. De plus, en utilisant un modèle Apcm Lgr5-EGFP-IRES-CreERT2 inductible, les cellules Prox1+ ont marqué une sous-population de cellules LGR& capable de produire une lignée. Un modèle orthotopique de cancer colorectal et des essais de colonisation du poumon chez la souris ont démontré que PROX1 favorise l'excroissance des cellules tumorales dans les lésions métastatiques, alors qu'il n'a aucun effet sur la croissance tumorale primaire, l'invasion ou une extravasation des cellules. In vitro, les cellules tumorales exprimant PROX1 ont démontré une forte augmentation de leur capacité à former des sphéroïdes, ainsi qu'une augmentation de la survie et de la prolifération dans des conditions hypoxiques ou lors de privation de nutriments. En contrôlant la respiration cellulaire dans ces conditions, nous avons constaté que les cellules exprimant PROX1 présentent une meilleure adaptation métabolique à l'évolution des sources de carburant. Des inhibiteurs de l'autophagie, suggérant une approche thérapeutique potentielle, ont tué à la fois in vitro et in vivo les cellules exprimant PROX1. Surtout, l'inactivation conditionnelle de PROX1 après l'apparition de métastases a empêché la croissance des lésions macroscopiques résultant en une maladie stable. En résumé, nous avons identifié un nouveau mécanisme mettant en évidence la capacité des cellules souches du cancer du côlon métastatique à survivre et à se développer dans les organes cibles grâce à l'adaptation métabolique. Nos résultats définissent PROX1 comme un facteur clé du cancer colorectal métastatique en favorisant la survie des cellules souches métastatiques apparentées au cancer du colon grâce à leur adaptation métabolique aux microenvironnements défavorables.

A variant in the gene FUT9 is associated with susceptibility to placental malaria infection

Malaria in pregnancy forms a substantial part of the worldwide burden of malaria, with an estimated annual death toll of up to 200,000 infants, as well as increased maternal morbidity and mortality. Studies of genetic susceptibility to malaria have so far focused on infant malaria, with only a few studies investigating the genetic basis of placental malaria, focusing only on a limited number of candidate genes. The aim of this study therefore was to identify novel host genetic factors involved in placental malaria infection. To this end we carried out a nested case-control study on 180 Mozambican pregnant women with placental malaria infection, and 180 controls within an intervention trial of malaria prevention. We genotyped 880 SNPs in a set of 64 functionally related genes involved in glycosylation and innate immunity. A SNP located in the gene FUT9, rs3811070, was significantly associated with placental malaria infection (OR = 2.31, permutation p-value = 0.028). Haplotypic analysis revealed a similarly strong association of a common haplotype of four SNPs including rs3811070. FUT9 codes for a fucosyl-transferase that is catalyzing the last step in the biosynthesis of the Lewis-x antigen, which forms part of the Lewis blood group-related antigens. These results therefore suggest an involvement of this antigen in the pathogenesis of placental malaria infection.

A targeted association study of immunity genes and networks suggests novel associations with placental malaria infection

A large proportion of the death toll associated with malaria is a consequence of malaria infection during pregnancy, causing up to 200,000 infant deaths annually. We previously published the first extensive genetic association study of placental malaria infection, and here we extend this analysis considerably, investigating genetic variation in over 9,000 SNPs in more than 1,000 genes involved in immunity and inflammation for their involvement in susceptibility to placental malaria infection. We applied a new approach incorporating results from both single gene analysis as well as gene-gene interactionson a protein-protein interaction network. We found suggestive associations of variants in the gene KLRK1 in the single geneanalysis, as well as evidence for associations of multiple members of the IL-7/IL-7R signalling cascade in the combined analysis. To our knowledge, this is the first large-scale genetic study on placental malaria infection to date, opening the door for follow-up studies trying to elucidate the genetic basis of this neglected form of malaria.

An ontology to clarify homology-related concepts.

Although homology is a fundamental concept in biology and is one of the shared channels of communication universal to all biology, it is difficult to find a consensus definition. Indeed, the interpretations of homology have changed as biology has progressed. New terms, such as paramorphism, have been introduced into the literature with mixed success. In addition, different research fields operate with different definitions of homology, for example the mechanistic usage of evo-devo is not strictly historical and would not be acceptable in cladistics. This makes a global understanding of homology complex, whereas the integration of evolutionary concepts into bioinformatics and genomics is increasingly important. We propose an ontology organizing homology and related concepts and hope this solution will also facilitate the integration and sharing of knowledge among the community.

Towards a User-Friendly Platform for Building Language Resources based on Web Services

This paper presents the platform developed in the PANACEA project, a distributed factory that automates the stages involved in the acquisition, production, updating and maintenance of Language Resources required by Machine Translation and other Language Technologies. We adopt a set of tools that have been successfully used in the Bioinformatics field, they are adapted to the needs of our field and used to deploy web services, which can be combined to build more complex processing chains (workflows). This paper describes the platform and its different components (web services, registry, workflows, social network and interoperability). We demonstrate the scalability of the platform by carrying out a set of massive data experiments. Finally, a validation of the platform across a set of required criteria proves its usability for different types of users (non-technical users and providers).

The challenge of modeling nuclear receptor regulatory networks in mammalian cells.

Nuclear receptors are a major component of signal transduction in animals. They mediate the regulatory activities of many hormones, nutrients and metabolites on the homeostasis and physiology of cells and tissues. It is of high interest to model the corresponding regulatory networks. While molecular and cell biology studies of individual promoters have provided important mechanistic insight, a more complex picture is emerging from genome-wide studies. The regulatory circuitry of nuclear receptor regulated gene expression networks, and their response to cellular signaling, appear highly dynamic, and involve long as well as short range chromatin interactions. We review how progress in understanding the kinetics and regulation of cofactor recruitment, and the development of new genomic methods, provide opportunities but also a major challenge for modeling nuclear receptor mediated regulatory networks.