Data-mining bioinformatics: connecting adenylate transport and metabolic responses to stress

Show simple item record Fonseca-Pereira, Paula da Neri-Silva, Roberto Cavalcanti, João Henrique F. Brito, Danielle S. Weber, Andreas P. M. Araújo, Wagner L. Nunes-Nesi, Adriano 2019-03-14T18:10:30Z 2019-03-14T18:10:30Z 2018-11
dc.identifier.issn 1360-1385
dc.description.abstract Adenine nucleotides are essential in countless processes within the cellular metabolism. In plants, ATP is mainly produced in chloroplasts and mitochondria through photophosphorylation and oxidative phosphorylation, respectively. Thus, efficient adenylate transport systems are required for intracellular energy partitioning between the cell organelles. Adenylate carriers present in different subcellular compartments have been previously identified and biochemically characterized in plants. Here, by using data-mining bioinformatics tools, we propose how, and to what extent, these carriers integrate energy metabolism within a plant cell under different environmental conditions. We demonstrate that the expression pattern of the corresponding genes is variable under different environmental conditions, suggesting that specific adenylate carriers have distinct and nonredundant functions in plants. en
dc.format pdf pt-BR
dc.language.iso eng pt-BR
dc.publisher Trends in Plant Science pt-BR
dc.relation.ispartofseries Volume 23, Issue 11, Pages 961-974, November 2018 pt-BR
dc.rights Elsevier B. V. pt-BR
dc.subject Adenylate carriers pt-BR
dc.subject Expression analysis pt-BR
dc.subject Stress response pt-BR
dc.subject Systems biology pt-BR
dc.title Data-mining bioinformatics: connecting adenylate transport and metabolic responses to stress en
dc.type Artigo pt-BR

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  • Artigos [611]
    Artigos Técnico-científicos na área de Biologia Vegetal

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