Transcriptomics

Dataset Information

0

Quantitative transcriptomic analysis of abscisic acid-induced and reactive oxygen species-dependent expression changes and proteomic profiling in Arabidopsis suspension cells


ABSTRACT: Early rapid changes in response to the phytohormone abscisic acid (ABA) have been observed at the transcript level, but little is known how these transcript changes translate to changes in protein abundance under the same conditions. Here we have performed a global quantitative analysis of transcript and protein changes in Arabidopsis suspension cells in response to ABA using microarrays and quantitative proteomics. In summary, 3494 transcripts and 50 proteins were significantly regulated by ABA over a treatment period of 20–24 h. Abscisic acid also caused a rapid and strong increase in production of extracellular reactive oxygen species (ROS) with an average half-rise time of 33 sec. A subset of ABA-regulated transcripts were differentially regulated in the presence of the ROS scavenger dimethylthiourea (DMTU) as compared with ABA alone, suggesting a role for ROS in the regulation of these ABA-induced genes. Transcript changes showed an overall poor correlation to protein changes (r = 0.66). Only a subset of genes was regulated at the transcript and protein level, including known ABA marker genes. We furthermore identified ABA regulation of proteins that function in a branch of glucosinolate catabolism previously not associated with ABA signaling. The discovery of genes that were differentially regulated at the transcript and at the protein level emphasizes the strength of our combined approach. In summary, our dataset not only expands previous studies on gene and protein regulation in response to ABA, but rather uncovers unique aspects of the ABA regulon and gives rise to additional mechanisms regulated by ABA.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE23301 | GEO | 2011/04/07

SECONDARY ACCESSION(S): PRJNA131329

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2011-04-07 | E-GEOD-23301 | biostudies-arrayexpress
2011-10-30 | E-MEXP-3404 | biostudies-arrayexpress
2012-01-01 | E-GEOD-26045 | biostudies-arrayexpress
2012-01-01 | GSE26045 | GEO
2022-01-25 | GSE184114 | GEO
2008-01-10 | GSE9515 | GEO
2017-08-22 | PXD006513 | Pride
2005-01-01 | MODEL1202030000 | BioModels
2010-12-06 | GSE19520 | GEO
2005-01-01 | MODEL1202030001 | BioModels