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.
Project description:Male Sprague-Dawley rats were used to establish exhausted-exercise model by motorized rodent treadmill. Yu-Ping-Feng-San at doses of 2.18 g/kg was administrated by gavage before exercise training for 10 consecutive days. Quantitative proteomics was performed for assessing the related mechanism of Yu-Ping-Feng-San.
Project description:To explore the gene expression prolife in the chroniclly hypoxic myocardium, 8 rats were divided randomly into normoxic (n=4) or chroniclly hypoxic (n=4) group, and were exposed to room air (21% O2) or continued hypoxia (10% O2) for 4 weeks. Heart tissues were collected and RNA sequencing was applied to detect the overall gene expression prolife. Genes with adjusted P-value ≤0.01 (corrected by Benjamini-Hochberg) and |log2_ratio|≥0.585 are identified as differentially expressed genes. RNA sequencing identified a total of 2014 gene with statistical significances, among which 1260 genes were significantlly increased and 754 genes were significantlly decreased. The results showed that gene expression profiling was perturbed in chronically hypoxic myocardium.
Project description:Summary: The liver is the major site of gluconeogenesis, fat processing and distribution, as well as drug and xenobiotic metabolism. Altered gene expression in the liver is centrally invovled in both the immuosuppressive and the energetic actions of corticosteroids. Hypothesis: That pharmacodynamics can be derived from expression profiling data. Specific Aim: The aim of this project is to identify distinct temporal patters of RNA expression in the liver of rats following a bolus dose of the corticosteroid methylprednisolone. 47 RG_U34A chips were used for 17 time points.
Project description:Transcriptional profiling of miRNAs from rat brain tissues comparing controls (Sham) with ischemic rats (tMCAO) and neuroprotected rats (RLIP) Internal normalization: ischemic core vs. periischemic and ANOVA comparison across three experimental conditions: Sham, tMCAO and RLIP
Project description:Analysis of LBNF1 rat testes from controls, containing both somatic and all germ cell types and from irradiated rats in which all cells germ cells except type A spermatgogonia are eliminated. Results provide insight into distinguishing germ and somatic cell genes and identification of somatic cell genes that are upregulated after irradiation.
Project description:The aim of this project is to identify distinct temporal patterns of RNA expression in the skeletal muscle of rats following a bolus dose of the corticosteroid methylprednisolone. 51 RG_U34A chips were used over 17 time points.
