Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genome wide expression analysis of EST-induced EBE-XVE using Affymetrix ATH1 array

ABSTRACT: Global transcriptome patterns were determined in XVE-14 and wild-type seedlings induced for 45 min b-estradiol in order to identify the genes early regulated by EBE transcription factor. We used microarrays to identify genes differentially expressed in EST-inducible EBE over-expression line #14 compared to wild-type plants, 45 min after 2µM EST induction. Three independent biological replications were performed. In order to identify potential direct/early target genes of EBE transcription factor, estradiol inducible overexpression system was used. Three week old Arabidopsis EBE-XVE (line 14) and WT seedlings were treated with ß-estradiol (2µM) for 45 min. RNA was isolated from shoot and subjected to hybridization on Affymetrix microarrays. Experiment was performed in 3 biological replications and genes differentially expressed between estradiol treated EBE-XVE and WT plants were identified as potential early targets of EBE.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Mohammad Mehrnia

PROVIDER: E-GEOD-27855 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

EBE, an AP2/ERF transcription factor highly expressed in proliferating cells, affects shoot architecture in Arabidopsis.

Mehrnia Mohammad M Balazadeh Salma S Zanor María-Inés MI Mueller-Roeber Bernd B

Plant physiology 20130424 2

We report about ERF BUD ENHANCER (EBE; At5g61890), a transcription factor that affects cell proliferation as well as axillary bud outgrowth and shoot branching in Arabidopsis (Arabidopsis thaliana). EBE encodes a member of the APETALA2/ETHYLENE RESPONSE FACTOR (AP2/ERF) transcription factor superfamily; the gene is strongly expressed in proliferating cells and is rapidly and transiently up-regulated in axillary meristems upon main stem decapitation. Overexpression of EBE promotes cell proliferat ...[more]

PMID: 23616605

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Project description:The aim of this study is to investigate the alterations in gene expression in Porphyromonas gingivalis W83 after inoculation in rat oral cavity. P.gingivalis W83 inoculation in rat oral cavity caused inflammatory responses in gingival tissues and destroyed host alveolar bone. Microarray analysis revealed that 42 genes were upregulated, and 22 genes were downregulated in the detected 1786 genes in the inoculated P.gingivalis W83. Products of these upregulated and downregulated genes are mainly related to transposon functions, cell transmembrane transportation, protein and nucleic acid metabolism, energy metabolism, cell division and bacterial pathogenicity.P.gingivalis W83 has a pathogenic effect on host oral cavity. Meanwhile, inflammatory oral environment alters P.gingivalis W83 gene expression profile. These changes in gene expression may limit the proliferation and weaken the pathogenicity of P.gingivalis W83, and favor themselves to adapt local environment for survival. 3 samples were picked up from wild strain P.gingivalis W83 and inoculated P.gingivalis W83, respectively. The total RNA was extracted and labeled with Klenow, and then hybridism with P.gingivalis W83 chip. The commercial GeneChip P.gingivalis W83 Genome Array used here was provided by CapitalBio Corporation (http://www.capitalbio.com/en/index.asp, Beijing, China), a service provider authorized by Roche NimbleGen (Wisconsin, USA). Five replicates of the genome were included per chip. An average of 19 different 60-base oligonucleotides (60-mer probes) represented each gene in the genome. Array hybridization, washing, scanning and data analysis were performed at the CapitalBio Corporation, Beijing, China and carried out according to the NimbleGen’s Expression user’s guide. The arrays were scanned using MS200 scanner (NimbleGen), and NimbleScan software (NimbleGen) was used to extract fluorescent intensity raw data from the scanned images. The expression data of probes were normalized using quantile normalization and expression data of genes were generated using the Robust Multichip Average (RMA) algorithm. In a comparison analysis, two class unpaired method in the Significant Analysis of Microarray software (SAM, version 3.02) was performed to identify significantly differentially expressed genes between TEST and CONTROL groups. Genes were determined to be significantly differentially expressed with a selection threshold of false discovery rate, FDR<5% and fold change＞2.0 in the SAM output result.

Dataset Information

Genome wide expression analysis of EST-induced EBE-XVE using Affymetrix ATH1 array

Publications

EBE, an AP2/ERF transcription factor highly expressed in proliferating cells, affects shoot architecture in Arabidopsis.

Similar Datasets

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