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GSE149916
Mus musculus
4 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The aim of this study consists in detecting genes regulated by Meis2 in the murine cochlea
Publication Title
Meis2 Is Required for Inner Ear Formation and Proper Morphogenesis of the Cochlea.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 31 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Objectives: Phosphatidylinositol 3-kinase catalytic subunit alpha (PIK3CA) is commonly altered in many human tumors, leading to the activation of p110 enzymatic activity that stimulates growth factor-independent cell growth. PIK3CA alterations such as mutation, gene amplification and overexpression are common in head and neck squamous cell carcinoma (HNSCC) and. We aim to explore how these alterations and clinical outcome are associated, as well as the molecular mechanisms involved.
Publication Title
Overexpression of PIK3CA in head and neck squamous cell carcinoma is associated with poor outcome and activation of the YAP pathway.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 11 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Satellite cells are the primary source of stem cells for skeletal muscle growth and regeneration. Since adult stem cell maintenance involves a fine balance between intrinsic and extrinsic mechanisms, we performed genome-wide chronological expression profiling to identify the transcriptomic changes involved during early postnatal growth till acquisition of satellite cell quiescence.
Publication Title
Pericytes in the myovascular niche promote post-natal myofiber growth and satellite cell quiescence.
Sample Metadata Fields
Specimen part
View Samples- Arabidopsis thaliana
- 16 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Understanding how developmental and environmental signals are integrated to produce specific responses is one of the main challenges of modern biology. Hormones and, most importantly, interactions between different hormones serve as crucial regulators of plant growth and development, playing central roles in the coordination of internal developmental processes with the environment. Herein, a combination of physiological, genetic, cellular, and whole-genome expression profiling approaches has been employed to investigate the mechanisms of interaction between two key plant hormones, ethylene and auxin.
Publication Title
Multilevel interactions between ethylene and auxin in Arabidopsis roots.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 36 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Satellite cells are the primary source of stem cells for skeletal muscle growth and regeneration. Since adult stem cell maintenance involves a fine balance between intrinsic and extrinsic mechanisms, we performed genome-wide chronological expression profiling to identify the transcriptomic changes involved in acquisition of muscle stem cell characteristics.
Publication Title
Gene Expression Profiling of Muscle Stem Cells Identifies Novel Regulators of Postnatal Myogenesis.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Bisphenol-A is a widespread endocrine disruptor chemical. In utero or perinatal exposure to bisphenol-A (BPA), leads to impaired glucose metabolism during adulthood. To investigate the consequences of the exposure to bisphenol-A during development in pancreatic beta-cell growth
Publication Title
Maternal Exposure to Bisphenol-A During Pregnancy Increases Pancreatic β-Cell Growth During Early Life in Male Mice Offspring.
Sample Metadata Fields
Sex, Specimen part
View Samples- Arabidopsis thaliana
- 42 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
ACC Synthase (ACS) is the key regulatory enzyme in the ethylene biosynthesis in plants. It catalyzes the conversion of s-adenosylmethionine (SAM) to 1-aminocyclopropane-1-carboxylic acid (ACC), the precursor of ethylene. Arabidopsis has nine ACS genes. The goal of the project is to inactivate each gene by insertional mutagenesis and amiRNA technology and eventually construct a null ACS mutant. We have been recently able to achieve this goal. Furthermore, we wanted to know how inactivation of individual ACS genes affects global gene expression.
Publication Title
A combinatorial interplay among the 1-aminocyclopropane-1-carboxylate isoforms regulates ethylene biosynthesis in Arabidopsis thaliana.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
Wild-type and mouse mutants for FGF3, FGF10 and FGF3/FGF10 double mutants at embryonic day E10 were analysed by microarrays for downregulated genes. A tissue sample corresponding to an area containing the otic vesicle and surrounding mesenchyme and neighboring hindbrain were isolated from E10 embryos (See Figure 3A of manuscript). Five samples were pooled for RNA preparation. Samples were isolated from wild-type, FGF3, FGF10 and FGF3/FGF10 double mutants. Two RNA samples for each genotype were generated (corresponding to 8 tissue samples). RNA was labeled and hybridized with Affymetrix U74A V2 arrays.
Publication Title
FGF signalling controls expression of vomeronasal receptors during embryogenesis.
Sample Metadata Fields
Age, Specimen part, Disease, Disease stage
View Samples- Arabidopsis thaliana
- 2 Downloadable Samples
Illumina HiSeq 2000
Description
Purpose: The goal of this study is to compare the transcriptome profilling (RNA-seq) of inflorescences infected with tobacco ratle virus (TRV) to mock inoculated inflorescences (negative controls), in Arabidopsis plants Methods: Inflorescences of systemically TRV infected or mock-inoculated plants were collected from more than 40 independent Arabidopsis plants, at 14 days post-inoculation (dpi). TRV and mock mRNA profiles were generated by deep sequencing by Illumina HiSeq 2000. The sequence reads that passed quality filters (SOAPnuke) were analysed by Burrows-Wheeler (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. Genes and isoforms were quantified by RSEM sofware package. qRT-PCR validation was performed using TaqMan and SYBR Green assays. Results: Here we report a significant repression of DNA methylation genes in inflorescences of Arabidopsis plants infected with Tobacco rattle virus (TRV) that coincides with dynamic changes in methylation at the whole genome level. Arabidopsis mutants deficient in DNA methylation were more resistant to this virus in early colonized tissues but more susceptible at later time points of infection, indicating that DNA methylation was critical to control both proliferation and antiviral defense. We found that TRV interference with DNA methylation leads to changes in the methylation and trancriptional status of transposable elements (TEs), including TEs located in the promoter of disease resistance genes that were significantly repressed in plants exposed to TRV. Activation of both TEs and their nearby disease resistance genes was altered in a range of hypo- and hyper-methylated Arabidopsis mutants, indicating that perturbations in DNA methylation contributes to modulate their expression in infected plants. Conclussion: Our study showed that TRV interferes with DNA methylation to alter the transcriptional silencing of TEs, which in turn compromises the expression of neighboring disease resistance genes. Overall design: TRV and mock mRNA profiles were generated from Arabidopsis inflorescences by deep sequencing with Illumina HiSeq 2000.
Publication Title
Crosstalk between epigenetic silencing and infection by tobacco rattle virus in Arabidopsis.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 24 Downloadable Samples
- IlluminaGenomeAnalyzerIIx
Description
Objective: the objective of this work was to determine different gene expression patterns in small bowel grafts biopsies with “minimal changes” histology that could identify patients with high rejection risk Methods: 24 samples (17 stable and 7 non stable grafts) from 8 adult patients with small bowel transplantation were included for RNA-Sequencing.Total RNA extracted from intestinal biopsies was used with the TruSeq RNA Sample Preparation v2 Kit to construct index-tagged cDNA libraries. Libraries were sequenced on the Genome Analyzer IIx following the standard RNA sequencing protocol with the TruSeq SBS Kit v5. Fastq files containing reads for each library were extracted and demultiplexed using Casava v1.8.2 pipeline. Sequencing adapter contaminations were removed from reads using Cutadapt software v1.6 and the resulting reads were aligned to the reference human genome (Ensembl gene-build GRCh37.75) using TopHat2 v2.0.13. Gene expression values were calculated as counts using HTSeq v0.6.1. Only genes with at least 1 count per million in all samples were considered for statistical analysis. Data were then normalized and differential expression tested using the R Bioconductor package edgeR. We selected all biopsies from 4 of the patients (18 biopsies, 11 stable and 7 non stable) as the discovery set. The other 6 biopsies from 4 patients (all stable) were used as the test set. Differences in the discovery set were tested by generalized linear model analysis,and results were considered significant when the Benjamini-Hochberg adjusted p-value was < 0,05. Results: We obtained 816 differentially expressed genes (DEGs) between stable and non stable biopsies in the discovery set: 369 upregulated and 447 downregulated in the non stable group. The classification and prediction with the Nearest Shrunken Centroids method identified 5 genes (ADH1C, CYP4F2, PDZK1, SLC39A4 and OPTN) from the 816 DEGs that could classify both groups with an error rate of 11% and classified correctly all samples from the test set. These results were confirmed by Supoprted Vector Machine (SVM), bagSVM and Random Forest methods, showing high accuracy, sensitivity and specificity. Conclusions: We identified 5 genes from the DEGs as possible biomarkers to classify patients with normal histology that could be however in a higher risk of rejection. In this way, gene expression assays are powerful tools with high sensitivity that allow more accurate diagnosis. Overall design: The study included 24 samples from 8 adult patients with small bowel transplantation. Samples correspond to RNA extracted from intestinal biopsies obtained at different post-transplantation time. All biopsies have an histological diagnosis of "minimal changes" and they were classified in two groups according their immunological stability (stable and non stable). Stable group comprised biopsies of patients that never rejected and biopsies obtained at least 15 days after rejection if no other rejection episode occurred in at least the next six months. Non stable group included biopsies obtained between rejection episodes (separated less than six months) and also those biopsies collected within the 15 days before the first rejection episode.
Publication Title
5-gene differential expression predicts stability of human intestinal allografts.
Sample Metadata Fields
No sample metadata fields
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