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<link>http://www.recercat.cat:80/handle/2072/179321</link>
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<pubDate>Wed, 22 May 2013 18:00:26 GMT</pubDate>
<dc:date>2013-05-22T18:00:26Z</dc:date>
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<title>Recent Advances in Pharmaceutical Sciences II</title>
<link>http://www.recercat.cat:80/handle/2072/203077</link>
<description>Recent Advances in Pharmaceutical Sciences II
Muñoz-Torrero López-Ibarra, Diego; Haro Bautista, Diego; Vallès, Joan
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<title>Nutritional genomics. A new approach in nutrition research</title>
<link>http://www.recercat.cat:80/handle/2072/202159</link>
<description>Nutritional genomics. A new approach in nutrition research
Oleaga, Carlota; Ciudad i Gómez, Carlos Julián; Noé Mata, Verónica; Izquierdo Pulido, María Luz
There is an increasing evidence that nutritional genomics represents a promise to improve public health. This goal will be reached by highlighting the mechanisms through which diet can reducethe risk of common polygenic diseases. Nutritional genomics applies high throughput functional genomic technologies and molecular tools in nutrition research, allowing a more precise and accurate knowledge of nutrient-genome interactions in both health and disease. Understanding the inter-relationships among genes, genes products, and dietary habits is fundamental to identify those who will benefit themost or be placed at risk by nutritional interventions. This chapter provides an overview of this novel nutritional approach, including themost relevant results of our recent research on the nutrigenomic effects of food polyphenols on cancer cells. Those studies would highlight themolecular mechanisms underlying the  chemopreventive effects of those bioactive food compounds.
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<title>Crystallization and resolution of the lipoxygenase of Pseudomonas aeruginosa 42A2 and phylogenetic study of the subfamilies of the lipoxygenases</title>
<link>http://www.recercat.cat:80/handle/2072/179522</link>
<description>Crystallization and resolution of the lipoxygenase of Pseudomonas aeruginosa 42A2 and phylogenetic study of the subfamilies of the lipoxygenases
Garreta, Albert; Carpena i Vilella, Xavi; Busquets Abió, Montserrat; Fusté Munné, M. Carme; Fita Rodríguez, Ignasi; Manresa Presas, Ma. Ángeles (María Ángeles)
Lipoxygenases are non-heme iron enzymes essential in eukaryotes, where they catalyze the formation of the fatty acid hydroperoxides that are required by a large diversity of biological and pathological processes. In prokaryotes, most of them totally lacking in polyunsaturated fatty acids, the possible biological roles oflipoxygenases have remained obscure. In this study, it is reported the crystallization of a lipoxygenase of Pseudomonas aeruginosa (Pa_LOX), the first from a prokaryote. High resolution data has been acquired which is expected to yield structural clues to the questions adressed. Besides, a preliminar phylogenetic analysis using 14 sequences has confirmed the existence of this subfamily of bacterial lipoxygenases, on one side, and a greater diversity than in the corresponding eukaryotic ones, on the other. Finally, an evolutionary study of bacteriallipoxygenases on the same set of lipoxygenases, show a selection pressure of a basically purifying or neutral character except for a single aminoacid, which would have been selected after a positive selection event.; Podeu consultar el llibre complet a: http://hdl.handle.net/2445/32392
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<title>Generation of biological association networks: A novel strategy to detect new targets in cancer therapy</title>
<link>http://www.recercat.cat:80/handle/2072/179523</link>
<description>Generation of biological association networks: A novel strategy to detect new targets in cancer therapy
Selga i Coma, Elisabet; Almagro García, Ma. Cristina de; Oleaga, Carlota; Mencial, Núria; Ramírez, Sara; Ruiz, F. Xavier; Farrés i Vicén, Jaume; Parés i Casasampera, Xavier; Thibaut, Rémi; Porte Visa, Cinta; Noé Mata, Verónica; Ciudad i Gómez, Carlos Julián
The aim of this work was to design a novel strategy to detect new targets for anticancer treatments. The rationale was to build Biological Association Networks from differentially expressed genes in drug-resistant cells to identify important nodes within the Networks. These nodes may represent putative targets to attack in cancer therapy, as a way to destabilize the gene network developed by the resistant cells to escape from the drug pressure. As a model we used cells resistant to methotrexate (MTX), an inhibitor of DHFR. Selected node-genes were analyzed at the transcriptional level and from a genotypic point of view. In colon cancer cells, DHFR, the AKR1 family, PKC¿, S100A4, DKK1, and CAV1 were overexpressed while E-cadherin was lost. In breast cancer cells, the UGT1A family was overexpressed, whereas EEF1A1 was overexpressed in pancreatic cells. Interference RNAs directed against these targets sensitized cells towards MTX.; Podeu consultar el llibre complet a: http://www.trnres.com/ebookcontents.php?id=149
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