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E-MTAB-4130
Arabidopsis thaliana
12 Downloadable Samples
Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
The induction of flowering by the photoperiodic pathway (i.e. an increase in daylength) involves the production of systemic signals that induce the transition to reproductive development. In order to evaluate the early events occurring in the roots during the photoperiodic induction of flowering, we harvested the roots of 7 week-old Col-0 Arabidopsis thaliana plants grown plants exposed to a single 22-hour long day. Control plants were maintained under 8-hour short days. Plants were grown in hydroponics and roots tissues were harvested 16 and 22 hours after the beginning of the light period.
Publication Title
No associated publication
Sample Metadata Fields
Age, Specimen part, Time
View Samples- Arabidopsis thaliana
- 6 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
In order to decipher the molecular alterations caused by the growing medium, we harvested the roots of plants grown in hydroponics and on soil for 6 weeks under 10-hour short days. The temperature was 20°C (day and night), the relative humidity was 70 %, and the light was provided by cool-white fluorescent tubes at 100 μE.m–2.s–1 during the first 10 days, 60 μE.m–2.s–1 later. The soil was composed of a mixture of peat compost and sand (3:1 v/v), which was watered daily with tap water. Plants were transferred to 1-liter containers (six plants/container) 18 days after sowing. Plants grown in hydroponics were sown on agar-containing (6.7 g.l–1; Kalys, France) seed-holders placed on 2-liter black containers and accessories (<a href="http://www.araponics.com" target="_blank">http://www.araponics.com</a>). The hydroponic solution, changed every two weeks, was prepared as described in Tocquin et al. (2003). During the first three weeks of growth, the number of plants per 2-liter tank was 35 and 18 afterwards. Harvesting was performed 8 hours after the beginning of the light period (16h30), and the roots from 35 to 45 individuals were pooled. Three independent biological replicates were performed for plants grown on both media.
Publication Title
No associated publication
Sample Metadata Fields
Age, Specimen part
View Samples- Saccharomyces cerevisiae
- 24 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Yeast cells were grown up in SD media containing all required amino acids. Each strain set was performed in triplicate. One set had no changes, the second set had 1mM methionine supplenting the media for the duration of growth and the third set was exposed to 0.5mM hydrogen peroxide for 15 minutes prior to harvesting
Publication Title
Gcn4 is required for the response to peroxide stress in the yeast Saccharomyces cerevisiae.
Sample Metadata Fields
Compound
View Samples- Triticum aestivum
- 36 Downloadable Samples
- Affymetrix Wheat Genome Array (wheat)
Description
Transcripomic analysis of leaf gene expression in S and N-deficient winter wheat during grain development. Tissue was harvested at anthesis and 7, 14 and 21 days post anthesis from experimental field plots.
Publication Title
Co-ordinated expression of amino acid metabolism in response to N and S deficiency during wheat grain filling.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject, Time
View Samples- Homo sapiens
- 134 Downloadable Samples
Illumina HiSeq 2000
Description
NA
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line
View Samples- Homo sapiens
- 96 Downloadable Samples
- Illumina HiSeq 2000
Description
Single-cell RNA-seq reveals dynamic estrogen-stimulated metabolic reprogramming in breast cancer cell lines
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part, Cell line
View Samples- Homo sapiens
- 93 Downloadable Samples
- Illumina HiSeq 2000
Description
Single-cell RNA-seq reveals dynamic estrogen-stimulated metabolic reprogramming in breast cancer cell lines
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line
View Samples- Homo sapiens
- 50 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background & Aims: Genome-wide gene expression (GWGE) profiles of mucosal colonic biopsies have suggested the existence of a continuous inflammatory state in quiescent ulcerative colitis (UC). The aim of this study was to use DNA microarray-based GWGE profiling of mucosal colonic biopsies and isolated colonocytes from UC patients and controls in order to identify the cell types responsible for the continuous inflammatory state. Methods: Adjacent mucosal colonic biopsies were obtained endoscopically from the descending colon in patients with active UC (n=8), quiescent UC (n=9), and with irritable bowel syndrome (controls, n=10). After isolation of colonocytes and subsequent extraction of total RNA, GWGE data were acquired using Human Genome U133 Plus 2.0 GeneChip Array (Affymetrix, Santa Clara, CA). Data analysis was carried out by principal component analysis and projection to latent structure-discriminant analysis using the SIMCA-P11 software (Umetrics, Ume, Sweden). Results: A clear separation between active UC, quiescent UC and control biopsies were found, whereas the model for the colonocytes was unable to distinguish between quiescent UC and controls. The differentiation between quiescent UC and control biopsies was governed by unique profiles containing gene expressions with significant fold changes. These primarily belonged to the family of homeostatic chemokines revealing a plausible explanation to the abnormal regulated innate immune response seen in patients with UC. Conclusion: This study has demonstrated the presence of a continuous inflammatory state in quiescent UC, which seems to reflect an altered gene expression profile of lamina propria cells.
Publication Title
Genome-wide gene expression analysis of mucosal colonic biopsies and isolated colonocytes suggests a continuous inflammatory state in the lamina propria of patients with quiescent ulcerative colitis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 30 Downloadable Samples
- Illumina HiSeq 2000
Description
NA
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line
View Samples- Homo sapiens
- 13 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background and aim: Analysis of data obtained from genome wide gene expression experiments is challenging, due to the huge amount of variables, management of the data and the need for multivariate analysis. We here present the R package: pcaGoPromoter that facilitates the interpretation of genome wide expression data to overcome these problems. In a first step principal component analysis is applied to overview any differences between the observations and possible groupings. The next step is interpretation of the principal components with respect to both biological function and involvement of predicted transcription factor binding sites. The robustness of the results is evaluated using cross validation. Illustrative plots of PCA score plots and Gene Ontology terms are available. To illustrate the functionality of the R package, we designed a serum stimulation experiment, where the main biological outcome is well documented. Results: Samples from the serum stimulation experiment were analyzed using the Affymetrix Human Genome U133 Plus 2.0 chip. The array data were analyzed by the tools of the pcaGoPromoter package, which resulted in a clear separation of the observations into the three experimental groups - controls, serum only and serum with inhibitor. The functional annotation of the axes in the PCA score plot showed the expected serum promoted biological processes such as cell cycle progression and the predicted involvement of the expected transcription factors including E2F. In addition unexpected results, e.g. the cholesterol synthesis in serum depleted cells and NF-B activation in inhibitor treated cells were uncovered. Conclusion: The pcaGoPromoter R package provides a collection of tools for analyzing gene expression data. It works with any platform using gene symbols or Entrez Ids as probe identifiers. In addition support for several popular Affymetrix GeneChip platforms is provided. The tools give an overview of the data via principal component analysis, functional interpretation by Gene Ontology terms (biological processes), and indication of involvement of possible transcription factors. Thus, pcaGoPromoter structures the high-dimensional data of gene expression experiments and can be applied to generate hypotheses for further exploration.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Cell line
View Samples