Project description:In order to establish a rat embryonic stem cell transcriptome, mRNA from rESC cell line DAc8, the first male germline competent rat ESC line to be described and the first to be used to generate a knockout rat model was characterized using RNA sequencing (RNA-seq) analysis.
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 epigenetic transgenerational actions of environmental toxicants and relevant mixtures on ovarian disease was investigated with the use of a fungicide, a pesticide mixture, a plastic mixture, dioxin and a hydrocarbon mixture. After transient exposure of an F0 gestating female rat during embryonic gonadal sex determination, the F1, F2 and F3 generation progeny adult onset ovarian disease was assessed. Transgenerational disease phenotypes observed included an increase in cysts resembling human polycystic ovarian disease (PCO) and a decrease in the ovarian primordial follicle pool size resembling premature ovarian failure (POF). The F3 generation granulosa cells were isolated and found to have a transgenerational effect on the transcriptome and epigenome (differential DNA methylation). Epigenetic biomarkers for environmental exposure and associated gene networks were identified. Epigenetic transgenerational inheritance of ovarian disease states were induced by different classes of environmental compounds suggesting a role of environmental epigenetics in ovarian disease etiology. We used transcriptome microarray analysis to determine genes expressed differentially between F3 control and F3 vinclozolin lineage rat ovary granulosa cell and see which genes might be connected to or cause observed ovary diseases RNA samples from granulosa cell of 3 F3-control lineage groups are compared to granulosa cell of 3 F3-vinclozolin lineage groups
Project description:Formaldehyde (HCHO) is the simplest form of aldehyde and it is naturally present in a wide range of resources. In spite of its cosmopolitan presence, formaldehyde can have deleterious health effects at higher concentrations like leukemia. However, most of the studies carried out so far have focused on the effect of formaldehyde exposure through inhalation and not much has been studied on the its exposure through food. In this context, the present study was carried out to investigate the effect of formaldehyde exposure through drinking water on the liver proteome of rat which would not only be helpful in assessing the impact of formaldehyde on health of organisms but also would be helpful in understanding the mechanism of detoxification.
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.