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Nitrogen starvation -New developments towards a genetic and diagnosis use of plant mircoarrays


ABSTRACT: gnp06-01_agriarray - nitrogen starvation - Several factors affect today a more extended use of microarrays for research and as a diagnosis tool. These factors are the experimental cost, the reproducibility of the measurements and the format of the analyses. This project aims at bringing solutions in these three domains by optimizing multiplexed analyses in order to reduce cost and enhance the number of samples treated simultaneously; by proposing new couples flurophores / slide surface in order to increase the signal precision and by developing new applications such as Comparative Genomic Hybridization (GGH) or Promoter Arrays to bring the plant microarray beyond transcriptome analyses. Altogether, these approaches will allow us to construct an optimized diagnostic tool based on 96 well microplate microarrays. This multidisciplinary project bring together biologists, chemists, physicists and mathematicians to develop innovative solutions for future application of DNA microarrays. - Dual-target hybridization microarray experiment. 2 dye-swap - time course,tissue comparison

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Elftieh Samira 

PROVIDER: E-GEOD-29103 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Arabidopsis roots and shoots show distinct temporal adaptation patterns toward nitrogen starvation.

Krapp Anne A   Berthomé Richard R   Orsel Mathilde M   Mercey-Boutet Stéphanie S   Yu Agnes A   Castaings Loren L   Elftieh Samira S   Major Hilary H   Renou Jean-Pierre JP   Daniel-Vedele Françoise F  

Plant physiology 20110907 3


Nitrogen (N) is an essential macronutrient for plants. N levels in soil vary widely, and plants have developed strategies to cope with N deficiency. However, the regulation of these adaptive responses and the coordinating signals that underlie them are still poorly understood. The aim of this study was to characterize N starvation in adult Arabidopsis (Arabidopsis thaliana) plants in a spatiotemporal manner by an integrative, multilevel global approach analyzing growth, metabolites, enzyme activ  ...[more]

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