GEO DataSets

(Submitter supplied) To examine differential effect of the mutation of rice OsPIPT6 on the gene exoression in shoot and root tissues, we performed microarray analysis using shoot and root tissues of wild-type and ospipt6-KO mutant.

Organism:

Oryza sativa

Type:

Expression profiling by array

Platform:

GPL6864

12 Samples

Download data: TXT

(Submitter supplied) Expression profiles of one-week-old rice seedlings exposed to Pi-deficient solution for 6, 24, 48, 72 hours were monitored by microarray that contains approximately 60,000 rice clones (Affymetrix GeneChip). The probes were prepared from RNAs isolated from rice seedlings exposed to Pi-deficient solution for 6, 24, 48, 72 hours, respectively, and those non-treated controls. For hybridization, two biological replicates were used to extract RNAs from different batches of plants.

Organism:

Oryza sativa; Oryza sativa Japonica Group

Type:

Expression profiling by array

Platform:

GPL2025

10 Samples

Download data: CEL

(Submitter supplied) Fourteen days plants growth under hydroponic +P condition (200 μM) were treated under –P (no phosphate) condition for another 7 days, shoot of plants from 3 biological repeats were sampled for Affymetrix microarray analysis. We used microarrays to detail the global programme of gene expression underlying -Pi condition among WT and mutants of phr1, phr3 and triple mutant of phr1phr2phr3.

Organism:

Oryza sativa

Type:

Expression profiling by array

Platform:

GPL2025

12 Samples

Download data: CEL

(Submitter supplied) Higher plants have developed sophisticated mechanisms to efficiently acquire and use micronutrients such as copper and iron. In the present work, we studied effects produced by the presence of a wide copper range in growth media and altered copper transport on iron homeostasis in Oryza sativa plants. The global analysis of gene expression in the rice seedlings grown under copper deficiency versus excess in the medium showed an increased expression of the genes involved in iron homeostasis. more...

Organism:

Oryza sativa

Type:

Expression profiling by array

Platform:

GPL8756

8 Samples

Download data: GPR

(Submitter supplied) In this study, we used a cross-species network approach to uncover nitrogen (N)-regulated network modules conserved across a model and a crop species. By translating gene network knowledge from the data-rich model Arabidopsis (Arabidopsis thaliana, ecotype Columbia-0) to a crop, rice (Oryza sativa spp. japonica (Nipponbare)), we identified evolutionarily conserved N-regulatory modules as targets for translational studies to improve N use efficiency in transgenic plants.

Organism:

Arabidopsis thaliana; Oryza sativa

Type:

Expression profiling by array

Platforms:

GPL198 GPL2025

16 Samples

Download data: CEL

(Submitter supplied) Expression of the EXS domain of PHO1 in the Arabidopsis thaliana pho1 mutant leads to improved shoot growth in comparison to the parental pho1 mutant. We have used RNAseq to study the gene expression profile in the roots and shoots of the pho1 mutant, two independent transgenic lines of pho1 expressing the EXS domain of PHO1 (lines EXS32 and EXS34) as well as a pho1 mutant transformed with the full length PHO1 gene (complemented line).

Organism:

Arabidopsis thaliana

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17639

16 Samples

Download data: TXT

(Submitter supplied) Potassium (K+) is one of the most important nutrient ions in plant cells and play crucial roles in many plant physiological and developmental processes. K+ deficiency is the common abiotic stress in natural environment, which inhibits plant growth and reduces production of crops. We used microarrays to analyse the transcriptomic changes in rice roots after suffering K+ starvation at different times. more...

Organism:

Oryza sativa Japonica Group; Oryza sativa

Type:

Expression profiling by array

Platform:

GPL2025

18 Samples

Download data: CEL

(Submitter supplied) Phosphate (Pi) deficiency severely affects crop yield. Modern high yielding rice genotypes are sensitive to Pi deficiency whereas traditional rice cultivars are naturally compatible to low Pi ecosystems. However, the underlying molecular mechanisms for low Pi tolerance in traditional genotypes remain largely elusive. To delineate the molecular mechanisms for low Pi tolerance, two contrasting rice genotypes - Dular (low Pi tolerant) and PB1 (low Pi sensitive) - have been selected. more...

Organism:

Oryza sativa

Type:

Expression profiling by array

Platform:

GPL2025

24 Samples

Download data: CEL