Bacterial lipopolysaccharide induces apoptosis in the trout ovary

BACKGROUND: In mammals it is well known that infections can lead to alterations in reproductive function. As part of the innate immune response, a number of cytokines and other immune factors is produced during bacterial infection or after treatment with lipopolysaccharide (LPS) and acts on the reproductive system. In fish, LPS can also induce an innate immune response but little is known about the activation of the immune system by LPS on reproduction in fish. Therefore, we conducted studies to examine the in vivo and in vitro effects of lipopolysaccharide (LPS) on the reproductive function of sexually mature female trout. METHODS: In saline- and LPS -injected brook trout, we measured the concentration of plasma steroids as well as the in vitro steroidogenic response (testosterone and 17alpha-hydroxyprogesterone) of ovarian follicles to luteinizing hormone (LH), the ability of 17alpha,20beta-dihydroxy-4-pregnen-3-one to induce germinal vesicle breakdown (GVBD) in vitro, and that of epinephrine to stimulate follicular contraction in vitro. We also examined the direct effects of LPS in vitro on steroid production, GVBD and contraction in brook trout ovarian follicles. The incidence of apoptosis was evaluated by TUNEL analysis. Furthermore, we examined the gene expression pattern in the ovary of saline- and LPS-injected rainbow trout by microarray analysis. RESULTS: LPS treatment in vivo did not affect plasma testosterone concentration or the basal in vitro production of steroids, although a small but significant potentiation of the effects of LH on testosterone production in vitro was observed in ovarian follicles from LPS-treated fish. In addition, LPS increased the plasma concentration of cortisol. LPS treatment in vitro did not affect the basal or LH-stimulated steroid production in brook trout ovarian follicles. In addition, we did not observe any effects of LPS in vivo or in vitro on GVBD or follicular contraction. Therefore, LPS did not appear to impair ovarian steroid production, oocyte final maturation or follicular contraction under the present experimental conditions. Interestingly, LPS administration in vivo induced apoptosis in follicular cells, an observation that correlated with changes in the expression of genes involved in apoptosis, as evidenced by microarray analysis. CONCLUSION: These results indicate that female trout are particularly resistant to an acute administration of LPS in terms of ovarian hormone responsiveness. However, LPS caused a marked increase in apoptosis in follicular cells, suggesting that the trout ovary could be sensitive to the pro-apoptotic effects of LPS-induced inflammatory cytokines.

Cellular and molecular evidence for a role of tumor necrosis factor alpha in the ovulatory mechanism of trout

Background: The relevance of immune-endocrine interactions to the regulation of ovarian function in teleosts is virtually unexplored. As part of the innate immune response during infection, a number of cytokines such as tumor necrosis factor alpha (TNF alpha) and other immune factors, are produced and act on the reproductive system. However, TNF alpha is also an important physiological player in the ovulatory process in mammals. In the present study, we have examined for the first time the effects of TNF alpha in vitro in preovulatory ovarian follicles of a teleost fish, the brown trout (Salmo trutta). Methods: To determine the in vivo regulation of TNF alpha expression in the ovary, preovulatory brook trout (Salvelinus fontinalis) were injected intraperitoneally with either saline or bacterial lipopolysaccharide (LPS). In control and recombinant trout TNF alpha (rtTNF alpha)-treated brown trout granulosa cells, we examined the percentage of apoptosis by flow cytometry analysis and cell viability by propidium iodide (PI) staining. Furthermore, we determined the in vitro effects of rtTNF alpha on follicle contraction and testosterone production in preovulatory brown trout ovarian follicles. In addition, we analyzed the gene expression profiles of control and rtTNF alpha-treated ovarian tissue by microarray and real-time PCR (qPCR) analyses. Results: LPS administration in vivo causes a significant induction of the ovarian expression of TNF alpha. Treatment with rtTNF alpha induces granulosa cell apoptosis, decreases granulosa cell viability and stimulates the expression of genes known to be involved in the normal ovulatory process in trout. In addition, rtTNF alpha causes a significant increase in follicle contraction and testosterone production. Also, using a salmonid-specific microarray platform (SFA2.0 immunochip) we observed that rtTNF alpha induces the expression of genes known to be involved in inflammation, proteolysis and tissue remodeling. Furthermore, the expression of kallikrein, TOP-2, serine protease 23 and ADAM 22, genes that have been postulated to be involved in proteolytic and tissue remodeling processes during ovulation in trout, increases in follicles incubated in the presence of rtTNF alpha. Conclusions In view of these results, we propose that TNF alpha could have an important role in the biomechanics of follicle weakening, ovarian rupture and oocyte expulsion during ovulation in trout, primarily through its stimulation of follicular cell apoptosis and the expression of genes involved in follicle wall proteolysis and contraction.

GSVA: gene set variation analysis for microarray and RNA-seq data

Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary. The strengths of this approach over single gene analysis include noise and dimension reduction, as well as greater biological interpretability. As molecular profiling experiments move beyond simple case-control studies, robust and flexible GSE methodologies are needed that can model pathway activity within highly heterogeneous data sets. To address this challenge, we introduce Gene Set Variation Analysis (GSVA), a GSE method that estimates variation of pathway activity over a sample population in an unsupervised manner. We demonstrate the robustness of GSVA in a comparison with current state of the art sample-wise enrichment methods. Further, we provide examples of its utility in differential pathway activity and survival analysis. Lastly, we show how GSVA works analogously with data from both microarray and RNA-seq experiments. GSVA provides increased power to detect subtle pathway activity changes over a sample population in comparison to corresponding methods. While GSE methods are generally regarded as end points of a bioinformatic analysis, GSVA constitutes a starting point to build pathway-centric models of biology. Moreover, GSVA contributes to the current need of GSE methods for RNA-seq data. GSVA is an open source software package for R which forms part of the Bioconductor project and can be downloaded at http://www.bioconductor.org.

Enhanced Botrytis cinerea resistance of Arabidopsis plants grown in compost may be explained by increased expression of defense-related genes, as revealed by microarray analysis

Composts are the products obtained after the aerobic degradation of different types of organic matter waste and can be used as substrates or substrate/soil amendments for plant cultivation. There is a small but increasing number of reports that suggest that foliar diseases may be reduced when using compost, rather than standard substrates, as growing medium. The purpose of this study was to examine the gene expression alteration produced by the compost to gain knowledge of the mechanisms involved in compost-induced systemic resistance. A compost from olive marc and olive tree leaves was able to induce resistance against Botrytis cinerea in Arabidopsis, unlike the standard substrate, perlite. Microarray analyses revealed that 178 genes were differently expressed, with a fold change cut-off of 1, of which 155 were up-regulated and 23 were down-regulated in compost-grown, as against perlite-grown plants. A functional enrichment study of up-regulated genes revealed that 38 Gene Ontology terms were significantly enriched. Response to stress, biotic stimulus, other organism, bacterium, fungus, chemical and abiotic stimulus, SA and ABA stimulus, oxidative stress, water, temperature and cold were significantly enriched, as were immune and defense responses, systemic acquired resistance, secondary metabolic process and oxireductase activity. Interestingly, PR1 expression, which was equally enhanced by growing the plants in compost and by B. cinerea inoculation, was further boosted in compost-grown pathogen-inoculated plants. Compost triggered a plant response that shares similarities with both systemic acquired resistance and ABA-dependent/independent abiotic stress responses.

A copula-based method for synthetic microarray data generation

In this work, we propose a copula-based method to generate synthetic gene expression data that account for marginal and joint probability distributions features captured from real data. Our method allows us to implant significant genes in the synthetic dataset in a controlled manner, giving the possibility of testing new detection algorithms under more realistic environments.

Dual activation of pathways regulated by steroid receptors and peptide growth factors in primary prostate cancer revealed by Factor Analysis of microarray data

Background: We use an approach based on Factor Analysis to analyze datasets generated for transcriptional profiling. The method groups samples into biologically relevant categories, and enables the identification of genes and pathways most significantly associated to each phenotypic group, while allowing for the participation of a given gene in more than one cluster. Genes assigned to each cluster are used for the detection of pathways predominantly activated in that cluster by finding statistically significant associated GO terms. We tested the approach with a published dataset of microarray experiments in yeast. Upon validation with the yeast dataset, we applied the technique to a prostate cancer dataset. Results: Two major pathways are shown to be activated in organ-confined, non-metastatic prostate cancer: those regulated by the androgen receptor and by receptor tyrosine kinases. A number of gene markers (HER3, IQGAP2 and POR1) highlighted by the software and related to the later pathway have been validated experimentally a posteriori on independent samples. Conclusion: Using a new microarray analysis tool followed by a posteriori experimental validation of the results, we have confirmed several putative markers of malignancy associated with peptide growth factor signalling in prostate cancer and revealed others, most notably ERRB3 (HER3). Our study suggest that, in primary prostate cancer, HER3, together or not with HER4, rather than in receptor complexes involving HER2, could play an important role in the biology of these tumors. These results provide new evidence for the role of receptor tyrosine kinases in the establishment and progression of prostate cancer.

The lipopolysaccharide of Aeromonas spp: structure-activity relationships.

Marine microorganisms, including Aeromonas, are a source of compounds for drug development that have generated great expectations in the last decades. Aeromonas infections produce septicaemia, and ulcerative and haemorrhagic diseases in fish. Among the pathogenic factors associated with Aeromonas, the lipopolysaccharides (LPS), a surface glyconconjugate unique to Gram-negative bacteria consisting of lipid A (lipid anchor of the molecule), core oligosaccharide and O-specific polysaccharide (O antigen), are key elicitors of innate immune responses. The chemical structure of these three parts has been characterized in Aeromonas. Based on the high variability of repeated units of O-polysaccharides, a total of 97 O-serogroups have been described in Aeromonas species, of which four of them (O:11; O:16; O:18 and O:34) account for more than 60% of the septicemia cases. The core of LPS is subdivided into two regions, the inner (highly conserved) and the outer core. The inner core of Aeromonas LPS is characterized by the presence of 3-deoxy-D-manno-oct-2-ulosonic (ketodeoxyoctonic) acid (Kdo) and L-glycero-D-manno-Heptoses (L,D-Hep), which are linked to the outer core, characterized by the presence of Glc, GlcN, Gal, and GalNAc (in Aeromonas salmonicida), D,D-Hep (in Aeromonas salmonicida), and L,D-Hep (in Aeromonas hydrophila). The biological relevance of these differences in the distal part of the outer core among these species has not been fully assessed to date. The inner core is attached to the lipid A, a highly conserved structure that confers endotoxic properties to the LPS when the molecule is released in blood from lysed bacteria, thus inducing a major systemic inflammatory response known as septic or endotoxic shock. In Aeromonas salmonicida subsp. salmonicida the Lipid A components contain three major lipid A molecules, differing in acylation patterns corresponding to tetra-, penta- and hexaacylated lipid A species and comprising of 4′-monophosphorylated β-2-amino-2-deoxy-D-glucopyranose-(1→6)-2-amino-2-deoxy-D-glucopyranose disaccharide. In the present review, we discuss the structure-activity relationships of Aeromonas LPS, focusing on its role in bacterial pathogenesis and its possible applications.

The lipopolysaccharide of Aeromonas spp: structure-activity relationships

Marine microorganisms, including Aeromonas, are a source of compds. for drug development that have generated great expectations in the last decades. Aeromonas infections produce septicemia, and ulcerative and haemorrhagic diseases in fish. Among the pathogenic factors assocd. with Aeromonas, the lipopolysaccharides (LPS)​, a surface glyconconjugate unique to Gram-​neg. bacteria consisting of lipid A (lipid anchor of the mol.)​, core oligosaccharide and O-​specific polysaccharide (O antigen)​, are key elicitors of innate immune responses. The chem. structure of these three parts has been characterized in Aeromonas. Based on the high variability of repeated units of O-​polysaccharides, a total of 97 O-​serogroups have been described in Aeromonas species, of which four of them (O:11; O:16; O:18 and O:34) account for more than 60​% of the septicemia cases. The core of LPS is subdivided into two regions, the inner (highly conserved) and the outer core. The inner core of Aeromonas LPS is characterized by the presence of 3-​deoxy-​d-​manno-​oct-​2-​ulosonic (ketodeoxyoctonic) acid (Kdo) and l-​glycero-​d-​manno-​Heptoses (l,​d-​Hep)​, which are linked to the outer core, characterized by the presence of Glc, GlcN, Gal, and GalNAc (in Aeromonas salmonicida)​, d,​d-​Hep (in Aeromonas salmonicida)​, and l,​d-​Hep (in Aeromonas hydrophila)​. The biol. relevance of these differences in the distal part of the outer core among these species has not been fully assessed to date. The inner core is attached to the lipid A, a highly conserved structure that confers endotoxic properties to the LPS when the mol. is released in blood from lysed bacteria, thus inducing a major systemic inflammatory response known as septic or endotoxic shock. In Aeromonas salmonicida subsp. salmonicida the Lipid A components contain three major lipid A mols., differing in acylation patterns corresponding to tetra-​, penta- and hexa-​acylated lipid A species and comprising of 4'-​monophosphorylated β-​2-​amino-​2-​deoxy-​d-​glucopyranose-​(1→6)​-​2-​amino-​2-​deoxy-​d-​glucopyranose disaccharide. In the present review, we discuss the structure-​activity relationships of Aeromonas LPS, focusing on its role in bacterial pathogenesis and its possible applications.

The lipopolysaccharide of Aeromonas spp: structure-activity relationships

Marine microorganisms, including Aeromonas, are a source of compds. for drug development that have generated great expectations in the last decades. Aeromonas infections produce septicemia, and ulcerative and haemorrhagic diseases in fish. Among the pathogenic factors assocd. with Aeromonas, the lipopolysaccharides (LPS)​, a surface glyconconjugate unique to Gram-​neg. bacteria consisting of lipid A (lipid anchor of the mol.)​, core oligosaccharide and O-​specific polysaccharide (O antigen)​, are key elicitors of innate immune responses. The chem. structure of these three parts has been characterized in Aeromonas. Based on the high variability of repeated units of O-​polysaccharides, a total of 97 O-​serogroups have been described in Aeromonas species, of which four of them (O:11; O:16; O:18 and O:34) account for more than 60​% of the septicemia cases. The core of LPS is subdivided into two regions, the inner (highly conserved) and the outer core. The inner core of Aeromonas LPS is characterized by the presence of 3-​deoxy-​d-​manno-​oct-​2-​ulosonic (ketodeoxyoctonic) acid (Kdo) and l-​glycero-​d-​manno-​Heptoses (l,​d-​Hep)​, which are linked to the outer core, characterized by the presence of Glc, GlcN, Gal, and GalNAc (in Aeromonas salmonicida)​, d,​d-​Hep (in Aeromonas salmonicida)​, and l,​d-​Hep (in Aeromonas hydrophila)​. The biol. relevance of these differences in the distal part of the outer core among these species has not been fully assessed to date. The inner core is attached to the lipid A, a highly conserved structure that confers endotoxic properties to the LPS when the mol. is released in blood from lysed bacteria, thus inducing a major systemic inflammatory response known as septic or endotoxic shock. In Aeromonas salmonicida subsp. salmonicida the Lipid A components contain three major lipid A mols., differing in acylation patterns corresponding to tetra-​, penta- and hexa-​acylated lipid A species and comprising of 4'-​monophosphorylated β-​2-​amino-​2-​deoxy-​d-​glucopyranose-​(1→6)​-​2-​amino-​2-​deoxy-​d-​glucopyranose disaccharide. In the present review, we discuss the structure-​activity relationships of Aeromonas LPS, focusing on its role in bacterial pathogenesis and its possible applications.

Array de DNA per identificar espècies de Fusarium: ampliació d'un array existent per incloure espècies del Sud d'Europa

Projecte de recerca elaborat a partir d’una estada al Department for Feed and Food Hygiene del National Veterinary Institute, Noruega, entre novembre i desembre del 2006. Els grans de cereal poden estar contaminats amb diferents espècies de Fusarium capaces de produir metabolits secundaris altament tòxics com trichotecenes, fumonisines o moniliformines. La correcta identificació d’aquestes espècies és de gran importància per l’assegurament del risc en l’àmbit de la salut humana i animal. La identificació de Fusarium en base a la seva morfologia requereix coneixements taxonòmics i temps; la majoria dels mètodes moleculars permeten la identificació d’una única espècie diana. Per contra, la tecnologia de microarray ofereix l’anàlisi paral•lel d’un alt nombre de DNA dianes. En aquest treball, s’ha desenvolupat un array per a la identificació de les principals espècies de Fusarium toxigèniques del Nord i Sud d’Europa. S’ha ampliat un array ja existent, per a la detecció de les espècies de Fusarium productores de trichothecene i moniliformina (predominants al Nord d’Europa), amb l’addició de 18 sondes de DNA que permeten identificar les espècies toxigèniques més abundants al Sud d’Europa, les qual produeixen majoritàriament fumonisines. Les sondes de captura han estat dissenyades en base al factor d’elongació translació- 1 alpha (TEF-1alpha). L’anàlisi de les mostres es realitza mitjançant una única PCR que permet amplificar part del TEF-1alpha seguida de la hibridació al xip de Fusarium. Els resultats es visualitzen mitjançant un mètode de detecció colorimètric. El xip de Fusarium desenvolupat pot esdevenir una eina útil i de gran interès per a l’anàlisi de cereals presents en la cadena alimentària.

Obtenció de jerarquies d'estats cel·lulars via web

Hi ha diversos mètodes d'anàlisi que duen a terme una agrupació global de la sèries de mostres de microarrays, com SelfOrganizing Maps, o que realitzen agrupaments locals tenint en compte només un subconjunt de gens coexpressats, com Biclustering, entre d'altres. En aquest projecte s'ha desenvolupat una aplicació web: el PCOPSamplecl, és una eina que pertany als mètodes d'agrupació (clustering) local, que no busca subconjunts de gens coexpresats (anàlisi de relacions linials), si no parelles de gens que davant canvis fenotípics, la seva relació d'expressió pateix fluctuacions. El resultats del PCOPSamplecl seràn les diferents distribucions finals de clusters i les parelles de gens involucrades en aquests canvis fenotípics. Aquestes parelles de gens podràn ser estudiades per trobar la causa i efecte del canvi fenotípic. A més, l'eina facilita l'estudi de les dependències entre les diferents distribucions de clusters que proporciona l'aplicació per poder estudiar la intersecció entre clusters o l'aparició de subclusters (2 clusters d'una mateixa agrupació de clusters poden ser subclusters d'altres clusters de diferents distribucions de clusters). L'eina és disponible al servidor: http://revolutionresearch.uab.es/

Bioinformática: interfaz web para estudiar el efecto de diferentes condiciones sobre la expresión de los genes

El trabajo realizado se divide en dos bloques bien diferenciados, ambos relacionados con el análisis de microarrays. El primer bloque consiste en agrupar las condiciones muestrales de todos los genes en grupos o clústers. Estas agrupaciones se obtienen al aplicar directamente sobre la microarray los siguientes algoritmos de agrupación: SOM,PAM,SOTA,HC y al aplicar sobre la microarray escalada con PC y MDS los siguientes algoritmos: SOM,PAM,SOTA,HC y K-MEANS. El segundo bloque consiste en realizar una búsqueda de genes basada en los intervalos de confianza de cada clúster de la agrupación activa. Las condiciones de búsqueda ajustadas por el usuario se validan para cada clúster respecto el valor basal 0 y respecto el resto de clústers, para estas validaciones se usan los intervalos de confianza. Estos dos bloques se integran en una aplicación web ya existente, el applet PCOPGene, alojada en el servidor: http://revolutionresearch.uab.es.

Análisis de la expresión de las moléculas relacionadas con el complejo principal de histocompatibilidad de clase I y de NKG2D como respuesta al daño oxidativo del DNA en el cáncer urotelial de vejiga. Relación con las características clínico patológicas y supervivencia

Es tracta d'un estudi retrospectiu de casos de 280 pacients diagnosticats de tumor vesical primari amb un seguiment mínim de 8 anys. S'ha construït un Tissue microarray i mitjançant mètodes semiquantitatius d’inmunohistoquímica es determinarà l'expressió de les molècules MICA (MHC class I chain-related gene A) i del seu receptor NKG2D (Natural-Killer group 2-member D) a nivell tissular, relacionant-lo amb variables anatomopatològiques segons els grups de risc, hàbit tabàquic i sexe. Finalment valorarem l'expressió de MICA/NKG2D com a factor independent de recidiva / progressió tumoral. En la literatura només existeixen 2 treballs que relacionin MICA amb el càncer vesical.

Interfaz web para mostrar los genes según las relaciones que mantienen sus expresiones

La investigació entre les relacions dels nivells d’expressió dels gens aporta molta informació sobre els processos biològics i patològics. Mitjançant la tècnica de les microarrays es possibilita la investigació de les relacions d’expressió de milers de gens a la vegada. La finalitat d’aquest projecte es fent ús de l’aplicatiu web PCOPGene-Net, permetre la identificació dels gens per les relacions d’expressió no lineals que tenen amb la resta de gens i permetre també la identificació de les relacions d’expressió no lineals entre els gens d’una microarray.

Comparación de datos de expresión génica del servidor local con datos de una base de datos remota

En la presente memoria se detalla con precisión las diversas fases del trabajo para construir una aplicación web en el servidor http://revolutionresearch.uab.es que permite enriquecer los clusters de la microarray del usuario con información biomédica de una base de datos remota. Los clusters de origen estadístico (o no) de la microarray del usuario se enriquecen a partir de cruzar sus genes marcadores con la base de datos de genes marcadores de microarrays (base de datos remota) con clusters basados en información biomédica. La base de datos de genes marcadores de microarrays ha sido obtenida a partir de la base de datos de GEO Profiles del NCBI.