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 2024 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.
Quantitative transcriptomic analysis of abscisic acid-induced and reactive oxygen species-dependent expression changes and proteomic profiling in Arabidopsis suspension cells.
Age, Specimen part, Cell line, Time
View SamplesAnalysis of the abh1 mutant Arabidopsis plants following treatment with 50 uM abscisic acid (ABA). ABH1 encodes the large (80kDa) subunit of the nuclear mRNA cap binding complex and affects early ABA signal transduction events (Hugouvieux et al., 2001, Cell 106, 477).
mRNA cap binding proteins: effects on abscisic acid signal transduction, mRNA processing, and microarray analyses.
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View SamplesBackground:
Gene profile analysis of osteoblast genes differentially regulated by histone deacetylase inhibitors.
No sample metadata fields
View SamplesTranscriptional profiling of guard cells and mesophyll cells in response to ABA treatment
Isolation of a strong Arabidopsis guard cell promoter and its potential as a research tool.
Specimen part, Disease, Disease stage, Compound
View SamplesAnterior tibialis removed from 3-month old muscle glycogen synthase WT or knockout mouse. RNA was extracted using GibcoBRL TRIzol Reagent and a Quiagen RNeasy kit. Targets were produced using standard Affymetrix procedures from about 5ug of total RNA. GSM40057-GSM40063 AND GSM40956.
Gene expression profiling of mice with genetically modified muscle glycogen content.
No sample metadata fields
View SamplesRNA sequencing of HeLa cells treated with siRNA against the RNA exosome components hRRP40, hRRP6, hDIS3, and hRRP6/hDIS3 or the splicing inhibitors Isoginkgetin and spliceostatin A, respectively. Overall design: Stranded, ribo-depleted RNA seq profiles of HeLa cells treated with exosome targeting siRNAs or splicing inhibitors using Illumina HiSeq. All experiments were carried out in triplicate starting with independent cell cultures
Human Telomerase RNA Processing and Quality Control.
No sample metadata fields
View SamplesMales induce dramatic physiological changes to hermaphrodites, including a significant shortening of lifespan. We have termed this effect as male-induced demise (MID) of hermaphrodites. This experiment was performed to analyse changes in gene expression due to the presence of males. We have shown that Knock down of utx-1 ameliorates the MID. In this experiment we also examine male-induce gene expression that may be altered when knocking down expression of utx-1 via RNAi.
Males shorten the life span of C. elegans hermaphrodites via secreted compounds.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Protein sets define disease states and predict in vivo effects of drug treatment.
Sex, Age, Specimen part
View SamplesThe forced expression of Yamanaka factors (Oct3/4, Sox2, Klf4, and c-Myc) reprograms cells into induced pluripotent stem cells (iPSCs) through a series of sequential cell fate conversions. The order and robustness of gene expression changes are highly depended on the Yamanaka factor stoichiometry. We specifically focused on two different reprogramming paths induced by high- and low-Klf4 stoichiometry, which were accomplished by introducing OK+9MS or OKMS polycistronic cassettes, respectively, into mouse embryonic fibroblasts. By comparing these reprograming intermediates with embryonic stem cells (ESCs) and primary keratinocytes, we identified high-Klf4 specific, transiently up-regulated epithelial genes. We found that expression of these epithelial genes was enriched in a TROP2-positive cell population. Moreover, we identified a set of transcription factors which are candidates for the regulation of transiently expressed epithelial genes, and revealed their connection to high-Klf4-specific reprogramming hallmarks.
OVOL1 Influences the Determination and Expansion of iPSC Reprogramming Intermediates.
Specimen part, Treatment
View SamplesGaining understanding of common complex diseases and their treatments are the main drivers for life sciences. As we show here, comprehensive protein set analyses offer new opportunities to decipher functional molecular networks of diseases and assess the efficacy and side-effects of treatments in vivo. Using mass spectrometry, we quantitatively detected several thousands of proteins and observed significant changes in protein pathways that were (dys-) regulated in diet-induced obesity mice. Analysis of the expression and post-translational modifications of proteins in various peripheral metabolic target tissues including adipose, heart, and liver tissue generated functional insights in the regulation of cell and tissue homeostasis during high-fat diet feeding and medication with two antidiabetic compounds. Protein set analyses singled out pathways for functional characterization, and indicated, for example, early-on potential cardiovascular complication of the diabetes drug rosiglitazone. In vivo protein set detection can provide new avenues for monitoring complex disease processes, and for evaluating preclinical drug candidates.
Protein sets define disease states and predict in vivo effects of drug treatment.
Sex, Age, Specimen part
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