Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rattus norvegicus

ABSTRACT: temporal profiling of retinal transcriptome regulation after IONT and IONC

OTHER RELATED OMICS DATASETS IN: E-MEXP-1387

PROVIDER: PRJNA103915 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Expression data from Rattus norvegicus cornea

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

Rattus norvegicus

Project description:Spatial and Temporal Regulation of Gene Expression in the Mammalian Growth Plate

| PRJNA117283 | ENA

Patterns of Gastrointestinal Helminth Infections in Rattus rattus, Rattus norvegicus, and Mus musculus in Chile

Project description: Not available

| S-EPMC9277659 | biostudies-literature

Daily Longitudinal RNAseq Profiling of Rattus Norvegicus Exposed to Liver Toxic Drugs

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