Arabidopsis thaliana
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA97051 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:A comparison of microarray and MPSS technologies can help to establish the metrics for data comparisons across these technology platforms and determine some of the factors affecting the measurement of mRNA abundances using different platforms. Here, different Treatments/Conditions based on different Arabidopsis tissues were used for three different platforms include MPSS, Affymetrix and Agilent. Keywords: MPSS, Affymetrix, Agilent
2007-09-14 | GSE8994 | GEO
Project description:We have generated a wholly defined spike-in dataset for Agilent microarrays consisting of 12 arrays with more than 2000 differentially expressed, and approximately 3600 background, cRNAs. The composition of this “Ag Spike”dataset is identical to that of our previous Platinum Spike dataset (GSE21344) and therefore allows direct cross-platform comparison. Comparison between the Ag Spike and Platinum Spike studies shows high agreement between results obtained using the Affymetrix and Agilent platforms.
2010-10-23 | GSE24866 | GEO
Project description:Arabidopsis seedlings (Col-0) were grown in suspension in half-strength MS medium with agitation at ~100 rpm at ~22 C under ~50 microeinsteins m-2s-1 cool white fluorescent continuous illumination as described by (Xiao et al., Plant Physiol. 2002 Dec;130(4):2118-28). Seedlings were treated at 10-12 days by addition of freshly made IAA (0.1 or 1.0uM) to each flask, and harvested after a 1 or 3 hour incubation. Controls were not treated and harvested at 0hr. All tissue harvested. Total RNA was extracted using TRIzol (Invitrogen) as described by the manufacturer and then filtered using QIAGEN RNeasy columns. cDNA was synthesized from total RNA using a Superscript double-stranded cDNA synthesis kit (Invitrogen) and a T7-dT24 primer. cRNA was synthesized using the Enzo BioArray HighYield RNA Transcript Labeling kit (Affymetrix p/n 900182) and fragmented by Mg2+ hydrolysis. 15ug per ATH1 array was hybridized overnight at 45 C. Arrays were then washed and scanned using the GeneChip FS400 fluidics station and Agilent GeneArray scanner. Images were analyzed using Affymetrix Microarray Suite 5.0, scaling to a target average intensity of 500. Spiking controls were added to the total RNA before cDNA synthesis and additional spiking samples were added to the resulting cDNA prior to cRNA synthesis. In comparison table below: SIGNAL_LOG_RATIO = Mean of log to base two of the experimental divided by control signal ratios across all probe pairs in a set. CHANGE = Qualitative measurement indicating whether the probe set signal is increased (I), marginally increased (MI), not changed (NC), marginally decreased (MD), or decreased (D) as compared to a control hybridization across all probe pairs, based on a p-value calculation. change_p-value = Measures the probability that all probe pairs in the set indicate a change, with 0 indicating strong likelyhood for increase, 0.5 indicating little probability for difference, and 1 indicating strong probability for decrease. Keywords = IAA Keywords = whole plant Keywords = indole-3-acetic acid Keywords = Arabidopsis Keywords: dose response
2004-03-09 | GSE1110 | GEO
Project description:Arabidopsis hsi2 vs. Col-0 Drought Arrays
| PRJNA170687 | ENA
Project description:Identification of target genes of ABI3 [Agilent 44k]
| PRJNA154243 | ENA
Project description:Identification of target genes of ABI3 [Agilent 2x244k]
| PRJNA154239 | ENA
Project description:Identification of new full length Arabidopsis genes - pilot arrays
| PRJNA85405 | ENA
Project description:The expression levels of Arabidopsis thaliana (Col-0) genes in several developmental stages during the seed-to-seedling transition were measured by using high-density Affymetrix® arrays (Aragene.st1.1). We used a time-series of microarrays to gain temporal resolution and identify relevant genes in the seed-to-seedling transition.
2015-12-18 | GSE65394 | GEO
Project description:A major effort is underway to study the natural variation within the model plant species, Arabidopsis thaliana. Much of this effort is focused on genome resequencing, however the translation of genotype to phenotype will be largely effected through variations within the transcriptomes at the sequence and expression levels. To examine the cross-talk between natural variation in genomes and transcriptomes, we have examined the transcriptomes of three divergent A. thaliana accessions using tiling arrays. Combined with genome resequencing efforts, we were able to adjust the tiling array datasets to account for polymorphisms between the accessions and therefore gain a more accurate comparison of the transcriptomes. The corrected results for the transcriptomes allowed us to correlate higher gene polymorphism with greater variation in transcript level among the accessions. Our results demonstrate the utility of combining genomic data with tiling arrays to assay non-reference accession transcriptomes.
2012-05-22 | GSE38109 | GEO