Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of Arabidopsis giberellin treated GA-treated wild type andetr1-1 plants


ABSTRACT: We have demonstrated that ethylene-insensitive mutants and wild type(Col-0) Arabidopsis plants treated with an ethylene perception inhibitor have increased levels of expression of genes, such as GASA1 and g-TIP, that are thought to be regulated by GA (Vriezen et al, unpublished results). However, this observation was based on an RNA gel blot analysis and therefore limited to few genes. Aim: To investigate whether plants with decreased ethylene perception are generally hypersensitive to GA or whether this effect is restricted to specific genes. We plan to undertake a complete transcriptome analysis of GA-treated wild type andetr1-1 plants. The aim is to identify genes that are induced directly as a result of the GA treatment, and we will therefore focus on the time window 0-3h. Tissues to be sampled: Plants will be grown in vitroon MS/2 containing 1% sucrose, pH 5.7, at 22 C,70% RH, under white light (54 PAR) and a photoperiod of 16h light/8h dark. Plants will be treated at 14 days and harvested entirely, i.e. roots and shoots are extracted together. Experimental set-up: Col-0 and the ethylene-insensitive mutant etr1-1 will be sprayed with 50 microM GA4 in water. GA4 is the major bio-active GA in Arabidopsis. Samples will be taken after 0, 30 min, 1h, and 3h. In order to correct for touch-induced genes a control, which is sprayed with water only and harvested at 1h, will be included for both genotypes. The total number of chips to be hybridized is 10. The time course with 4 data points is preferred to a single time point with 3 repeats, because it will allow us to follow the induction kinetics and identify early response genes. For each timepoint, RNA will be extracted from at least 40 individuals.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: unknown unknown 

PROVIDER: E-NASC-20 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Large-scale analysis of Arabidopsis transcription reveals a basal co-regulation network.

Atias Osnat O   Chor Benny B   Chamovitz Daniel A DA  

BMC systems biology 20090903


<h4>Background</h4>Analyses of gene expression data from microarray experiments has become a central tool for identifying co-regulated, functional gene modules. A crucial aspect of such analysis is the integration of data from different experiments and different laboratories. How to weigh the contribution of different experiments is an important point influencing the final outcomes. We have developed a novel method for this integration, and applied it to genome-wide data from multiple Arabidopsi  ...[more]

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