2 resultados para Tecnologias de Ponta

em Queensland University of Technology - ePrints Archive


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Oprincipal objetivo desse artigo é apresentar os resultados parciais de uma pesquisa em andamento sobre o processo de produção de conteúdo do portal Viva Favela, um dos projetos sociais realizados pela organização nãogovernamental Viva Rio. Partindo de uma abordagem conceitual que discute os modos pelos quais a mídia alternativa e o jornalismo público/jornalismo cívico criam as condições de possibilidade para que uma determinada prática jornalística dê ‘voz’ e ‘empodere’ (empower) moradores de periferias e favelas brasileiras, estamos realizando um estudo das rotinas produtivas do Viva Favela e seus ‘correspondentes comunitários’. O conceito sobre voice, de Jo Tacchi, oferece-nos um embasamento teórico adequado para refletirmos sobre o que vem sendo denominado, nos Estados Unidos, de digital storytelling – as narrativas digitais produzidas com as tecnologias de informação e comunicação para “contar estórias” 1, que são criativamente apropriadas, no Brasil, por moradores das favelas e periferias das regiões metropolitanas.

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Background Several lines of evidence suggests that transcription factors are involved in the pathogenesis of Multiple Sclerosis (MS) but a complete mapping the whole network has been elusive. One of the reasons is that there are several clinical subtypes of MS and transcription factors which may be involved in one subtype may not be in others. We investigated the possibility that this network could be mapped using microarray technologies and modern bioinformatics methods on a dataset from whole blood in 99 untreated MS patients (36 Relapse Remitting MS, 43 Primary Progressive MS, and 20 Secondary Progressive MS) and 45 age-matched healthy controls, Methodology/Principal Findings We have used two different analytical methodologies: a differential expression analysis and a differential co-expression analysis, which have converged on a significant number of regulatory motifs that seem to be statistically overrepresented in genes which are either differentially expressed (or differentially co-expressed) in cases and controls (e.g. V$KROX_Q6, p-value < 3.31E-6; V$CREBP1_Q2, p-value < 9.93E-6, V$YY1_02, p-value < 1.65E-5). Conclusions/significance: Our analysis uncovered a network of transcription factors that potentially dysregulate several genes in MS or one or more of its disease subtypes. Analysing the published literature we have found that these transcription factors are involved in the early T-lymphocyte specification and commitment as well as in oligodendrocytes dedifferentiation and development. The most significant transcription factors motifs were for the Early Growth response EGR/KROX family, ATF2, YY1 (Yin and Yang 1), E2F-1/DP-1 and E2F-4/DP-2 heterodimers, SOX5, and CREB and ATF families.