931 resultados para RNA 12S


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Declining populations of bee pollinators are a cause of concern, with major repercussions for biodiversity loss and food security. RNA viruses associated with honeybees represent a potential threat to other insect pollinators, but the extent of this threat is poorly understood. This study aims to attain a detailed understanding of the current and ongoing risk of emerging infectious disease (EID) transmission between managed and wild pollinator species across a wide range of RNA viruses. Within a structured large-scale national survey across 26 independent sites, we quantify the prevalence and pathogen loads of multiple RNA viruses in co-occurring managed honeybee (Apis mellifera) and wild bumblebee (Bombus spp.) populations. We then construct models that compare virus prevalence between wild and managed pollinators. Multiple RNA viruses associated with honeybees are widespread in sympatric wild bumblebee populations. Virus prevalence in honeybees is a significant predictor of virus prevalence in bumblebees, but we remain cautious in speculating over the principle direction of pathogen transmission. We demonstrate species-specific differences in prevalence, indicating significant variation in disease susceptibility or tolerance. Pathogen loads within individual bumblebees may be high and in the case of at least one RNA virus, prevalence is higher in wild bumblebees than in managed honeybee populations. Our findings indicate widespread transmission of RNA viruses between managed and wild bee pollinators, pointing to an interconnected network of potential disease pressures within and among pollinator species. In the context of the biodiversity crisis, our study emphasizes the importance of targeting a wide range of pathogens and defining host associations when considering potential drivers of population decline.

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The sustainable control of animal parasitic nematodes requires the development of efficient functional genomics platforms to facilitate target validation and enhance anthelmintic discovery. Unfortunately, the utility of RNA interference (RNAi) for the validation of novel drug targets in nematode parasites remains problematic. Ascaris suum is an important veterinary parasite and a zoonotic pathogen. Here we show that adult A. suum is RNAi competent, and highlight the induction, spread and consistency of RNAi across multiple tissue types. This platform provides a new opportunity to undertake whole organism-, tissue- and cell-level gene function studies to enhance target validation processes for nematode parasites of veterinary/medical significance.

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Immunohistochemical staining for phosphatase and tensin homolog (PTEN) does not have either an acceptable standard protocol or concordance of scoring between pathologists. Evaluation of PTEN mRNA with a unique and verified sequence probe may offer a realistic alternative providing a robust and reproducible protocol. In this study, we have evaluated an in situ hybridization (ISH) protocol for PTEN mRNA using RNAScope technology and compared it with a standard protocol for PTEN immunohistochemistry (IHC). PTEN mRNA expression by ISH was consistently more sensitive than PTEN IHC, with 56% of samples on a mixed-tumor tissue microarray (TMA) showing high expression by ISH compared with 42% by IHC. On a prostate TMA, 49% of cases showed high expression by ISH compared with 43% by IHC. Variations in PTEN mRNA expression within malignant epithelium were quantifiable using image analysis on the prostate TMAs. Within tumors, clear overexpression of PTEN mRNA on malignant epithelium compared with benign epithelium was frequently observed and quantified. The use of SpotStudio software in the mixed-tumor TMA allowed for clear demonstration of varying levels of PTEN mRNA between tumor samples by the mRNA methodology. This was evident by the quantifiable differences between distinct oropharyngeal tumors (up to 3-fold increase in average number of spots per cell between 2 cases). mRNA detection of PTEN or other biomarkers, for which optimal or standardized immunohistochemical techniques are not available, represents a means by which heterogeneity of expression within focal regions of tumor can be explored with more confidence.

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The interplay between methylation and demethylation of histone lysine residues is an essential component of gene expression regulation and there is considerable interest in elucidating the roles of proteins involved. Here we report that histone demethylase KDM4A/JMJD2A, which is involved in the regulation of cell proliferation and is overexpressed in some cancers, interacts with RNA Polymerase I, associates with active ribosomal RNA genes and is required for serum-induced activation of rDNA transcription. We propose that KDM4A controls the initial stages of transition from 'poised', non-transcribed rDNA chromatin into its active form. We show that PI3K, a major signalling transducer central for cell proliferation and survival, controls cellular localization of KDM4A and consequently its association with ribosomal DNA through the SGK1 downstream kinase. We propose that the interplay between PI3K/SGK1 signalling cascade and KDM4A constitutes a mechanism by which cells adapt ribosome biogenesis level to the availability of growth factors and nutrients.

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Plant parasitic nematodes (PPN) locate host plants by following concentration gradients of root exudate chemicals in the soil. We present a simple method for RNA interference (RNAi)-induced knockdown of genes in tomato seedling roots, facilitating the study of root exudate composition, and PPN responses. Knockdown of sugar transporter genes, STP1 and STP2, in tomato seedlings triggered corresponding reductions of glucose and fructose, but not xylose, in collected root exudate. This corresponded directly with reduced infectivity and stylet thrusting of the promiscuous PPN Meloidogyne incognita, however we observed no impact on the infectivity or stylet thrusting of the selective Solanaceae PPN Globodera pallida. This approach can underpin future efforts to understand the early stages of plant-pathogen interactions in tomato and potentially other crop plants.

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Tese de mestrado em Bioinformática e Biologia Computacional (Bioinformática), apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2014

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The synthesis of cDNA from RNA is challenging due to the inefficiency of reverse transcription (RT). In order to address this, a method was developed known as RT-Bst for sequential RT of RNA and Bst DNA polymerase amplification for enrichment of cDNA in a single tube reaction. Using genomic RNA from bacteriophage MS2, the yield of cDNA produced by RT alone and RT-Bst were compared by analysis of PCR-amplified products. Using random primers a superior performance was observed when amplifying MS2 RNA following RT-Bst compared to RT alone, indicating that greater quantities of cDNA were present after RT-Bst. RT-Bst was also compared with RT alone for their relative ability to produce sufficient cDNA to amplify 8 target regions spanning the respiratory syncytial virus (RSV) genome. Six out of 8 targets were amplified consistently by PCR subsequent to RT-Bst amplification whereas only 3 out of 8 targets could be amplified after RT alone. RSV sequences were selectively amplified using RSV specific primers from a mixed template containing an excess of MS2 RNA in a RT-Bst reaction without amplifying MS2 sequences. This suggests that RT-Bst can be used to amplify RNA sequences non-specifically using random primers and specifically using sequence specific primers and enhances the yield of cDNA when compared to RT alone.

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The human ZFP36 zinc finger protein family consists of ZFP36, ZFP36L1, and ZFP36L2. These proteins regulate various cellular processes, including cell apoptosis, by binding to adenine uridine rich elements in the 3′ untranslated regions of sets of target mRNAs to promote their degradation. The pro-apoptotic and other functions of ZFP36 family members have been implicated in the pathogenesis of lymphoid malignancies. To identify candidate mRNAs that are targeted in the pro-apoptotic response by ZFP36L1, we reverse-engineered a gene regulatory network for all three ZFP36 family members using the ‘maximum information coefficient’ (MIC) for target gene inference on a large microarray gene expression dataset representing cells of diverse histological origin. Of the three inferred ZFP36L1 mRNA targets that were identified, we focussed on experimental validation of mRNA for the pro-survival protein, BCL2, as a target for ZFP36L1. RNA electrophoretic mobility shift assay experiments revealed that ZFP36L1 interacted with the BCL2 adenine uridine rich element. In murine BCL1 leukemia cells stably transduced with a ZFP36L1 ShRNA lentiviral construct, BCL2 mRNA degradation was significantly delayed compared to control lentiviral expressing cells and ZFP36L1 knockdown in different cell types (BCL1, ACHN, Ramos), resulted in increased levels of BCL2 mRNA levels compared to control cells. 3′ untranslated region luciferase reporter assays in HEK293T cells showed that wild type but not zinc finger mutant ZFP36L1 protein was able to downregulate a BCL2 construct containing the BCL2 adenine uridine rich element and removal of the adenine uridine rich core from the BCL2 3′ untranslated region in the reporter construct significantly reduced the ability of ZFP36L1 to mediate this effect. Taken together, our data are consistent with ZFP36L1 interacting with and mediating degradation of BCL2 mRNA as an important target through which ZFP36L1 mediates its pro-apoptotic effects in malignant B-cells.

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Molecular monitoring of BCR/ABL transcripts by real time quantitative reverse transcription PCR (qRT-PCR) is an essential technique for clinical management of patients with BCR/ABL-positive CML and ALL. Though quantitative BCR/ABL assays are performed in hundreds of laboratories worldwide, results among these laboratories cannot be reliably compared due to heterogeneity in test methods, data analysis, reporting, and lack of quantitative standards. Recent efforts towards standardization have been limited in scope. Aliquots of RNA were sent to clinical test centers worldwide in order to evaluate methods and reporting for e1a2, b2a2, and b3a2 transcript levels using their own qRT-PCR assays. Total RNA was isolated from tissue culture cells that expressed each of the different BCR/ABL transcripts. Serial log dilutions were prepared, ranging from 100 to 10-5, in RNA isolated from HL60 cells. Laboratories performed 5 independent qRT-PCR reactions for each sample type at each dilution. In addition, 15 qRT-PCR reactions of the 10-3 b3a2 RNA dilution were run to assess reproducibility within and between laboratories. Participants were asked to run the samples following their standard protocols and to report cycle threshold (Ct), quantitative values for BCR/ABL and housekeeping genes, and ratios of BCR/ABL to housekeeping genes for each sample RNA. Thirty-seven (n=37) participants have submitted qRT-PCR results for analysis (36, 37, and 34 labs generated data for b2a2, b3a2, and e1a2, respectively). The limit of detection for this study was defined as the lowest dilution that a Ct value could be detected for all 5 replicates. For b2a2, 15, 16, 4, and 1 lab(s) showed a limit of detection at the 10-5, 10-4, 10-3, and 10-2 dilutions, respectively. For b3a2, 20, 13, and 4 labs showed a limit of detection at the 10-5, 10-4, and 10-3 dilutions, respectively. For e1a2, 10, 21, 2, and 1 lab(s) showed a limit of detection at the 10-5, 10-4, 10-3, and 10-2 dilutions, respectively. Log %BCR/ABL ratio values provided a method for comparing results between the different laboratories for each BCR/ABL dilution series. Linear regression analysis revealed concordance among the majority of participant data over the 10-1 to 10-4 dilutions. The overall slope values showed comparable results among the majority of b2a2 (mean=0.939; median=0.9627; range (0.399 - 1.1872)), b3a2 (mean=0.925; median=0.922; range (0.625 - 1.140)), and e1a2 (mean=0.897; median=0.909; range (0.5174 - 1.138)) laboratory results (Fig. 1-3)). Thirty-four (n=34) out of the 37 laboratories reported Ct values for all 15 replicates and only those with a complete data set were included in the inter-lab calculations. Eleven laboratories either did not report their copy number data or used other reporting units such as nanograms or cell numbers; therefore, only 26 laboratories were included in the overall analysis of copy numbers. The median copy number was 348.4, with a range from 15.6 to 547,000 copies (approximately a 4.5 log difference); the median intra-lab %CV was 19.2% with a range from 4.2% to 82.6%. While our international performance evaluation using serially diluted RNA samples has reinforced the fact that heterogeneity exists among clinical laboratories, it has also demonstrated that performance within a laboratory is overall very consistent. Accordingly, the availability of defined BCR/ABL RNAs may facilitate the validation of all phases of quantitative BCR/ABL analysis and may be extremely useful as a tool for monitoring assay performance. Ongoing analyses of these materials, along with the development of additional control materials, may solidify consensus around their application in routine laboratory testing and possible integration in worldwide efforts to standardize quantitative BCR/ABL testing.

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Le glucose est notre principale source d'énergie. Après un repas, le taux de glucose dans le sang (glycémie) augmente, ce qui entraine la sécrétion d'insuline. L'insuline est une hormone synthétisée au niveau du pancréas par des cellules dites bêta. Elle agit sur différents organes tels que les muscles, le foie ou le tissu adipeux, induisant ainsi le stockage du glucose en vue d'une utilisation future.¦Le diabète est une maladie caractérisée par un taux élevé de glucose dans le sang (hyperglycémie), résultant d'une incapacité de notre corps à utiliser ou à produire suffisamment d'insuline. A long terme, cette hyperglycémie entraîne une détérioration du système cardio-vasculaire ainsi que de nombreuses complications. On distingue principalement deux type de diabète : le diabète de type 1 et le diabète de type 2, le plus fréquent (environ 90% des cas). Bien que ces deux maladies diffèrent sur beaucoup de points, elles partagent quelques similitudes. D'une part, on décèle une diminution de la quantité de cellules bêta. Cette diminution est cependant partielle dans le cas d'un diabète de type 2, et totale dans celui d'un diabète de type 1. D'autre part, la présence dans la circulation de médiateurs de l'inflammation nommés cytokines est décelée aussi bien chez les patients de type 1 que de type 2. Les cytokines sont sécrétées lors d'une inflammation. Elles servent de moyen de communication entre les différents acteurs de l'inflammation et ont pour certaines un effet néfaste sur la survie des cellules bêta.¦L'objectif principal de ma thèse a été d'étudier en détail l'effet de petites molécules régulatrices de l'expression génique, appelées microARNs. Basé sur le fait que de nombreuses publications ont démontré que les microARNs étaient impliqués dans différentes maladies telles que le cancer, j'ai émis l'hypothèse qu'ils pouvaient également jouer un rôle important dans le développement du diabète.¦Nous avons commencé par mettre des cellules bêta en culture en présence de cytokines, imitant ainsi un environnement inflammatoire. Nous avons pu de ce fait identifier les microARNs dont les niveaux d'expression étaient modifiés. A l'aide de méthodes biochimiques, nous avons ensuite observé que la modulation de certains microARNs par les cytokines avaient des effets néfastes sur la cellule bêta : sur sa production et sa sécrétion d'insuline, ainsi que sur sa mort (apoptose). Nous avons en conséquence pu démontrer que ces petites molécules avaient un rôle important à jouer dans le dysfonctionnement des cellules bêta induit par les cytokines, aboutissant au développement du diabète.¦-¦La cellule bêta pancréatique est une cellule endocrine présente dans les îlots de Langerhans, dans le pancréas. L'insuline, une hormone sécrétée par ces cellules, joue un rôle essentiel dans la régulation de la glycémie. Le diabète se développe si le taux d'insuline relâché par les cellules bêta n'est pas suffisant pour couvrir les besoins métaboliques corporels. Le diabète de type 1, qui représente environ 5 à 10% des cas, est une maladie auto-immune qui se caractérise par une réaction inflammatoire déclenchée par notre système immunitaire envers les cellules bêta. La conséquence de cette attaque est une disparition progressive des cellules bêta. Le diabète de type 2 est, quant à lui, largement plus répandu puisqu'il représente environ 90% des cas. Des facteurs à la fois génétiques et environnementaux sont responsables d'une diminution de la sensibilité des tissus métabolisant l'insuline, ainsi que d'une réduction de la sécrétion de l'insuline par les cellules bêta, ce qui a pour conséquence le développement de la maladie. Malgré les différences entre ces deux types de diabète, ils ont pour points communs la présence d'infiltrat immunitaire et la diminution de l'état fonctionnel des cellules bêta.¦Une meilleure compréhension des mécanismes aboutissant à l'altération de la cellule bêta est primordiale, avant de pouvoir développer de nouvelles stratégies thérapeutiques capables de guérir cette maladie. Durant ma thèse, j'ai donc étudié l'implication de petites molécules d'ARN, régulatrices de l'expression génique, appelées microARNs, dans les conditions physiopathologiques qui aboutissent au développement du diabète. J'ai débuté mon étude par l'identification de microARNs dont le niveau d'expression était modifié lorsque les cellules bêta étaient exposées à des conditions favorisant à la fois le développement du diabète de type 1 (cytokines) et celui du diabète de type 2 (palmitate). Nous avons découvert qu'une modification de l'expression des miR-21, -34a et -146a était commune aux deux traitements. Ces changements d'expressions ont également été confirmés dans deux modèles animaux : les souris NOD qui développent un diabète s'apparentant au diabète de type 1 et les souris db/db qui développent plutôt un diabète de type 2. Puis, à l'aide de puces à ADN, nous avons comparé l'expression de microARNs chez des souris NOD pré-diabétiques. Nous avons alors retrouvé des changements au niveau de l'expression des mêmes microARNs mais également au niveau d'une famille de microARNs : les miR-29a, -29b et -29c. De manière artificielle, nous avons ensuite surexprimé ou inhibé en conditions physiopathologiques l'expression de tous ces microARNs et nous nous sommes intéressés à l'impact d'un tel changement sur différentes fonctions de la cellule bêta comme la synthèse et la sécrétion d'insulinè ainsi que leur survie. Nous avons ainsi pu démontrer que les miR-21, -34a, -29a, -29b, -29c avaient un effet délétère sur la sécrétion d'insuline et que la surexpression de tous ces microARNs (excepté le miR-21) favorisait la mort. Finalement, nous avons démontré que la plupart de ces microARNs étaient impliqués dans la régulation d'importantes voies de signalisation responsables de l'apoptose des cellules bêta telles que les voies de NFKB, BCL2 ou encore JNK.¦Par conséquent, nos résultats démontrent que les microARNs ont un rôle important à jouer dans le dysfonctionnement des cellules bêta lors de la mise en place du diabète.

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The mechanisms regulating systemic and mucosal IgA responses in the respiratory tract are incompletely understood. Using virus-like particles loaded with single-stranded RNA as a ligand for TLR7, we found that systemic vs mucosal IgA responses in mice were differently regulated. Systemic IgA responses following s.c. immunization were T cell independent and did not require TACI or TGFbeta, whereas mucosal IgA production was dependent on Th cells, TACI, and TGFbeta. Strikingly, both responses required TLR7 signaling, but systemic IgA depended upon TLR7 signaling directly to B cells whereas mucosal IgA required TLR7 signaling to lung dendritic cells and alveolar macrophages. Our data show that IgA switching is controlled differently according to the cell type receiving TLR signals. This knowledge should facilitate the development of IgA-inducing vaccines.

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Aquaglyceroporin-9 (AQP9) facilitates diffusion of water and energy substrates such as glycerol and monocarboxylates. AQP9 is present in plasma membrane and mitochondria of astrocytes and catecholaminergic neurons, suggesting that it plays a role in the energetic status of these cells. Using specific small interference RNA directed against AQP9 in astrocyte cultures, we showed that glycerol uptake is decreased which is associated with an increase in glucose uptake and oxidative metabolism. Our results not only confirm the presence of AQP9 in astrocytes but also suggest that changes in AQP9 expression alter glial energy metabolism.

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Se estudiaron muestras obtenidas en seis estaciones, ubicadas en el sublitoral peruano de fondo blando, frente al Puerto Pizarro, Chimbote, Chicama y Callao.

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El estudio se realizó entre el 18 y 21 abril 2006, en dos estaciones frente a la costa central del Perú (12°S). Se colectaron muestras cada 6 horas para evaluar la distribución vertical del fitoplancton hasta los 75 m de profundidad, y se determinó la composición y abundancia del fitoplancton en relación a las concentraciones de oxígeno disuelto. Se discute el diferente comportamiento de las especies más abundantes en la columna de agua, como la diatomea Asterionellopsis glacialis, del dinoflagelado Akashiwo sanguinea, y de los fitoflagelados en la estación más costera. Las dos primeras especies profundizaron su distribución hasta los 25 m durante la noche, pero los fitoflagelados presentaron focos de concentración máximos en la Zona de Mínimo Oxígeno tanto en el día como en la noche en la estación ubicada a 30 mn.

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Gene copies that stem from the mRNAs of parental source genes have long been viewed as evolutionary dead-ends with little biological relevance. Here we review a range of recent studies that have unveiled a significant number of functional retroposed gene copies in both mammalian and some non-mammalian genomes. These studies have not only revealed previously unknown mechanisms for the emergence of new genes and their functions but have also provided fascinating general insights into molecular and evolutionary processes that have shaped genomes. For example, analyses of chromosomal gene movement patterns via RNA-based gene duplication have shed fresh light on the evolutionary origin and biology of our sex chromosomes.