Rattus norvegicus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA101437 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We identified 112 known genes and 150 expressed sequence tags (ESTs) showing more than a 1.3 fold change in target-exposed neurons compared to neurons grown in the absence of target. Expression of 36 genes and 49 ESTs was upregulated, while expression of 76 genes and 101 ESTs was downregulated by the presence of target during the culture period. Overall, these changes represented approximately 1.6% of the probe set. Experiment Overall Design: We investigated the molecular basis of the target-regulated growth inhibition program using DNA microarrays to analyze patterns of gene expression following contact of sympathetic neurons with their myocyte targets. Total RNA was isolated from sympathetic neurons cultured alone and from neurons isolated from myocyte co-cultures. The two neuron populations showed minimal levels of atrial natriutic peptide (ANF) mRNA, a myocyte marker, compared to myocyte-containing cultures, indicating a low level of myocyte contamination for neurons purified from co-cultures. Experiment Overall Design: Isolated total RNA was reverse transcribed, labeled with biotin by in vitro transcription and hybridized to an Affymetrix Rat Expression Set 230A microarray with 15,900 probe sets. The hybridized microarray was washed, stained, scanned and quantified using DNA-Chip Analyzer (dChip) 1.3 (Li and Wong, 2001).
2008-06-16 | E-GEOD-8393 | biostudies-arrayexpress
Project description:Transcriptional responses of sympathetic neurons during BMP-induced primary dendritogenesis
| PRJNA139389 | ENA
Project description:Gene expression patterns in bone following mechanical loading
| PRJNA127425 | ENA
Project description:SAGE libraries from cell bodies and axons of NGF-differentiated sympathetic neurons
| PRJNA110621 | ENA
Project description:Fibronectin Induced Cardiac Myocyte Hypertrophy
| PRJNA87131 | ENA
Project description:Inflammation is a key component of pathological angiogenesis. Here we induce cornea neovascularisation using sutures placed into the cornea, and sutures are removed to induce a regression phase. We used whole transcriptome microarray to monitor gene expression profies of several genes
2016-08-18 | GSE81418 | GEO
Project description: Not available
| S-EPMC9277659 | biostudies-literature
Project description:Living organisms are intricate systems with dynamic internal processes. Their RNA, protein, and metabolite levels fluctuate in response to variations in health and environmental conditions. Among these, RNA expression is particularly accessible for comprehensive analysis, thanks to the evolution of high throughput sequencing technologies in recent years. This progress has enabled researchers to identify unique RNA patterns associated with various diseases, as well as to develop predictive and prognostic biomarkers for therapy response. Such cross-sectional studies allow for the identification of differentially expressed genes (DEGs) between groups, but they have limitations. Specifically, they often fail to capture the temporal changes in gene expression following individual perturbations and may lead to significant false discoveries due to inherent noise in RNA sequencing sample preparation and data collection. To address these challenges, our study hypothesized that frequent, longitudinal RNA sequencing (RNAseq) analysis of blood samples could offer a more profound understanding of the temporal dynamics of gene expression in response to drug interventions, while also enhancing the accuracy of identifying genes influenced by these drugs. In this research, we conducted RNAseq on 829 blood samples collected from 84 Sprague-Dawley lab rats. Excluding the control group, each rat was administered one of four different compounds known for liver toxicity: tetracycline, isoniazid, valproate, and carbon tetrachloride. We developed specialized bioinformatics tools to pinpoint genes that exhibit temporal variation in response to these treatments.
2023-12-13 | GSE250058 | GEO
Project description:Developing sympathetic neurons depend on nerve growth factor (NGF) for survival and die by apoptosis after NGF withdrawal. This process requires de novo gene expression but only a small number of genes induced by NGF deprivation have been identified so far. We have used Affymetrix Exon arrays to study the pattern of expression of all known genes in sympathetic neurons deprived of NGF. We identified 415 up- and 813 down-regulated genes, including most of the genes previously known to be regulated in this system. By including a mixed lineage kinase (MLK) inhibitor, CEP-11004, in our experimental design we identified which of the genes induced after NGF withdrawal are potential targets of the MLK-JNK-c-Jun pathway. A detailed Gene Ontology and functional enrichment analysis also identified genetic pathways, such as the ER unfolded protein response, that are highly enriched and overrepresented amongst the genes expressed after NGF withdrawal whilst hierarchical cluster analysis revealed four major patterns of gene expression. Five genes not previously studied in sympathetic neurons - trb3, ddit3, txnip, ndrg1 and mxi1 - were validated by real time-PCR. The proteins encoded by these genes also increased in level after NGF withdrawal and this increase was prevented by CEP-11004, suggesting that these genes are potential targets of the MLK-JNK-c-Jun pathway. Overall, our microarray data gives a comprehensive overview of, and provides new information about, signalling pathways and transcription factors that are regulated by NGF withdrawal and identifies potential targets of the MLK-JNK-c-Jun pathway in sympathetic neurons
2013-01-17 | E-MTAB-696 | biostudies-arrayexpress
Project description:A series of two color gene expression profiles obtained using Agilent 44K expression microarrays was used to examine sex-dependent and growth hormone-dependent differences in gene expression in rat liver. This series is comprised of pools of RNA prepared from untreated male and female rat liver, hypophysectomized (‘Hypox’) male and female rat liver, and from livers of Hypox male rats treated with either a single injection of growth hormone and then killed 30, 60, or 90 min later, or from livers of Hypox male rats treated with two growth hormone injections spaced 3 or 4 hr apart and killed 30 min after the second injection. The pools were paired to generate the following 6 direct microarray comparisons: 1) untreated male liver vs. untreated female liver; 2) Hypox male liver vs. untreated male liver; 3) Hypox female liver vs. untreated female liver; 4) Hypox male liver vs. Hypox female liver; 5) Hypox male liver + 1 growth hormone injection vs. Hypox male liver; and 6) Hypox male liver + 2 growth hormone injections vs. Hypox male liver. A comparison of untreated male liver and untreated female liver liver gene expression profiles showed that of the genes that showed significant expression differences in at least one of the 6 data sets, 25% were sex-specific. Moreover, sex specificity was lost for 88% of the male-specific genes and 94% of the female-specific genes following hypophysectomy. 25-31% of the sex-specific genes whose expression is altered by hypophysectomy responded to short-term growth hormone treatment in hypox male liver. 18-19% of the sex-specific genes whose expression decreased following hypophysectomy were up-regulated after either one or two growth hormone injections. Finally, growth hormone suppressed 24-36% of the sex-specific genes whose expression was up-regulated following hypophysectomy, indicating that growth hormone acts via both positive and negative regulatory mechanisms to establish and maintain the sex specificity of liver gene expression. For full details, see V. Wauthier and D.J. Waxman, Molecular Endocrinology (2008)
2008-05-24 | GSE11529 | GEO