194 resultados para Orestes
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Sequencing technologies and new bioinformatics tools have led to the complete sequencing of various genomes. However, information regarding the human transcriptome and its annotation is yet to be completed. The Human Cancer Genome Project, using ORESTES (open reading frame EST sequences) methodology, contributed to this objective by generating data from about 1.2 million expressed sequence tags. Approximately 30 of these sequences did not align to ESTs in the public databases and were considered no-match ORESTES. On the basis that a set of these ESTs could represent new transcripts, we constructed a cDNA microarray. This platform was used to hybridize against 12 different normal or tumor tissues. We identified 3421 transcribed regions not associated with annotated transcripts, representing 83.3 of the platform. The total number of differentially expressed sequences was 1007. Also, 28 of analyzed sequences could represent noncoding RNAs. Our data reinforces the knowledge of the human genome being pervasively transcribed, and point out molecular marker candidates for different cancers. To reinforce our data, we confirmed, by real-time PCR, the differential expression of three out of eight potentially tumor markers in prostate tissues. Lists of 1007 differentially expressed sequences, and the 291 potentially noncoding tumor markers were provided.
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Numérisation partielle de reliure
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Numérisation partielle de reliure
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Background: Human infection by the pork tapeworm Taenia solium affects more than 50 million people worldwide, particularly in underdeveloped and developing countries. Cysticercosis which arises from larval encystation can be life threatening and difficult to treat. Here, we investigate for the first time the transcriptome of the clinically relevant cysticerci larval form. Results: Using Expressed Sequence Tags (ESTs) produced by the ORESTES method, a total of 1,520 high quality ESTs were generated from 20 ORESTES cDNA mini-libraries and its analysis revealed fragments of genes with promising applications including 51 ESTs matching antigens previously described in other species, as well as 113 sequences representing proteins with potential extracellular localization, with obvious applications for immune-diagnosis or vaccine development. Conclusion: The set of sequences described here will contribute to deciphering the expression profile of this important parasite and will be informative for the genome assembly and annotation, as well as for studies of intra- and inter-specific sequence variability. Genes of interest for developing new diagnostic and therapeutic tools are described and discussed.
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Abstract Background The ongoing efforts to sequence the honey bee genome require additional initiatives to define its transcriptome. Towards this end, we employed the Open Reading frame ESTs (ORESTES) strategy to generate profiles for the life cycle of Apis mellifera workers. Results Of the 5,021 ORESTES, 35.2% matched with previously deposited Apis ESTs. The analysis of the remaining sequences defined a set of putative orthologs whose majority had their best-match hits with Anopheles and Drosophila genes. CAP3 assembly of the Apis ORESTES with the already existing 15,500 Apis ESTs generated 3,408 contigs. BLASTX comparison of these contigs with protein sets of organisms representing distinct phylogenetic clades revealed a total of 1,629 contigs that Apis mellifera shares with different taxa. Most (41%) represent genes that are in common to all taxa, another 21% are shared between metazoans (Bilateria), and 16% are shared only within the Insecta clade. A set of 23 putative genes presented a best match with human genes, many of which encode factors related to cell signaling/signal transduction. 1,779 contigs (52%) did not match any known sequence. Applying a correction factor deduced from a parallel analysis performed with Drosophila melanogaster ORESTES, we estimate that approximately half of these no-match ESTs contigs (22%) should represent Apis-specific genes. Conclusions The versatile and cost-efficient ORESTES approach produced minilibraries for honey bee life cycle stages. Such information on central gene regions contributes to genome annotation and also lends itself to cross-transcriptome comparisons to reveal evolutionary trends in insect genomes.
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En el presente trabajo llevaremos a cabo el análisis de la figura de Orestes como "Semilla de la Salvación" a lo largo de toda la obra desde la perspectiva suministrada por la mirada de Electra y por las palabras del coro. Ya que el personaje de Orestes brinda nombre a la trilogía nos proponemos demostrar que es en la tragedia intermedia, Coéforas, en donde es presentado como un "salvador impulsado por la divinidad". Para tal fin, analizaremos especialmente cómo esta figura resulta comparada con distintos personajes míticos como Altea y Escila (vv. 605), Hermes (vv. 811) y Perseo (vv. 831)
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En el teatro griego clásico, el imaginario de la enfermedad trasunta aspectos significativos de las relaciones entre tragedia y medicina hipocrática; en él ocupa un lugar central la metáfora agonal. A partir de este presupuesto, el presente trabajo se centrará en el análisis de la metáfora agonal en Orestes de Eurípides (408 a.C.). Imágenes provenientes del campo atlético y militar, asociadas a la marcada presencia del término agón, reflejan en esta tragedia euripidea tardía la violencia de la locura. El objetivo del presente trabajo será demostrar de qué modo este imaginario singular muestra en el drama aspectos conflictivos de la indisociable relación entre el matricida y su nósos, y revela la patología de la locura como irrupción de una lucha entre fuerzas que pugnan en el interior del mismo Orestes
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Fil: Schamun, María Cecilia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.
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Fil: Schamun, María Cecilia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.
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Fil: Schamun, María Cecilia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.
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Fil: Schamun, María Cecilia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.
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Fil: Schamun, María Cecilia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.