Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1291028 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Individual male broilers (Cobb500; n=16) were allotted to 4 experimental diets containing either no phytogenic feed additives, an essential oil blend, saponin extract or a combination of both phytogenic preparations. Liver samples were used for transcriptome profiling.
2017-12-31 | GSE95566 | GEO
Project description:Individual male broilers (Cobb500; n=16) were allotted to 4 experimental diets containing either no phytogenic feed additives, an essential oil blend, saponin extract or a combination of both phytogenic preparations. Jejunum samples were used for transcriptome profiling.
2017-12-31 | GSE95559 | GEO
Project description:This study aimed to explore the changes in miRNAome in the rumen epithelium during diet transition from forage to high-grain and the modulation through supplementation with phytogenic feed additives (PHY).
2021-09-24 | GSE184578 | GEO
Project description:This study aimed to explore the changes in global gene expression in the epithelial transcriptome during diet transition from forage to high-grain and the modulation through supplementation with phytogenic feed additives (PHY).
2021-09-25 | GSE184575 | GEO
Project description:Copper (Cu) is not only one of the essential trace elements for animal body, but also an important nutrient component for normal physiology and metabolism of animal reproductive system. Lack or excess of copper will directly or indirectly affect animal reproductive activities. However, the effect of copper on reproductive performance of boars and sows has not been studied and the effect of excessive Copper addition on reproductive performance of sows is even less, and the molecular mechanism is poorly understood. Here, we document that copper has the negative effects on the oocyte maturation and Organelle function. We show that copper exposure perturbs the porcine oocyte meiotic maturation and impair the spindle/chromosome structure, displaying an obviously defective spindle assembly, and abnormal distribution of actin dynamics and cortical granules. In addition, single-cell transcriptome analysis identifies target effectors of copper in porcine oocytes, which was further demonstrated that copper exposure affects the distribution and function of mitochondria, and high ROS levels, DNA damage, and early apoptosis in porcine oocytes. Collectively, we demonstrate that copper exposure causes abnormalities in mitochondrial function and distribution, resulting in increased oxidative stress ROS levels, DNA damage and apoptosis, ultimately leading to decreased quality of porcine oocytes.
2021-06-28 | GSE168867 | GEO
Project description:Phytogenic supplement containing menthol, carvacrol and carvone ameliorates gut microbiota and production performance of commercial layers
| PRJNA834577 | ENA
Project description:We have used computational and experimental biology approaches to identify candidate mechanisms of action of a traditional Chinese medicine; Compound Kushen Injection (CKI), in a breast cancer cell line in which CKI has been shown to cause apoptosis. Because CKI is a complex mixture of plant secondary metabolites, we used a high-performance liquid chromatography (HPLC) fractionation and reconstitution approach to define chemical fractions required for CKI to induce apoptosis in MDA-MB-231 cells. Our initial fractionation separated major from minor compounds, and showed that the major compounds accounted for little of the activity of CKI. By systematically perturbing the major compounds in CKI we found that removal of no single major compound could alter the effect of CKI on cell viability and apoptosis. However, simultaneous removal of two major compounds identified oxymatrine and oxysophocarpine as critical compounds with respect to CKI activity. We then used RNA sequencing and transcriptome analysis to correlate compound removal with gene expression and phenotype data. We determined that many compounds in CKI are required for its effectiveness in triggering apoptosis but that significant modulation of its activity is conferred by a small number of compounds. In conclusion, CKI may be typical of many plant based extracts that contain many compounds in that no single compound is responsible for all of the bioactivity of the mixture and that many compounds interact in a complex fashion to influence a network containing many targets.
2019-05-29 | GSE125743 | GEO
Project description:Non-starch soluble polysaccharides (NSPs) produced by yeasts are used in animal nutrition to improve health and performance. However, the magnitude of the effect may be dependent upon the quantity and the composition of the polysaccharides. As seaweeds are attractive sources of NSPs, this study was set up to evaluate their potential to improve intestinal health. The effect of NSP extracts prepared from Saccharomyces cerevisiae containing β-glucan and mannan (PSY1, positive control) or a mixture of mannanoligosaccharides (PSY2, positive control), micro algae containing β-glucan (PSA1), brown macro algae containing fucoidan and laminarin (PSA2), and green macro algae containing ulvan (PSA3) on intestinal porcine epithelial cells J2 (IPEC-J2) was studied in the presence and absence of the enterotoxigenic bacterium Escherichia coli k99 strain (ETEC) as an in vitro challenge. The E.coli-k99 strain with adhesion factor F41 (41/32) was isolated from a mastitis-infected udder. In addition, a mixed extract prepared from vegatal orgin supplemented with phenolic compounds from vegetal origin, zinc and selenium (9631), and ZnO were tested to compare responses to NSP extracts. Gene expression was measured in IPEC-J2 cells after 2 and 6 hours of incubation using “whole genome” porcine microarrays (submission as a conference paper at the SEAGRICULTURE 2017 6th International Seaweed Conference).
2023-06-01 | GSE100838 | GEO
Project description:Effect of burdock tea on putrefactive compounds.
| PRJDB17618 | ENA
Project description:There are many toxic chemicals to contaminate the world and cause harm to human and other organisms. How to quickly discriminate these compounds and characterize their potential molecular mechanism and toxicity is essential. High through put transcriptomics profiles such as microarray have been proven useful to identify biomarkers for different classification and toxicity prediction purposes. Here we aim to investigate how to use microarray to predict chemical contaminants and their possible mechanisms. In this study, we divided 105 compounds plus vehicle control into 14 compound classes. On the basis of gene expression profiles of in vitro primary cultured hepatocytes, we comprehensively compared various normalization, feature selection and classification algorithms for the classification of these 14 class compounds. We found that normalization had little effect on the averaged classification accuracy. Two support vector machine methods LibSVM and SMO had better classification performance. When feature sizes were smaller, LibSVM outperformed other classification methods. Simple logistic algorithm also performed well. At the training stage, usually the feature selection method SVM-RFE performed the best, and PCA was the poorest feature selection algorithm. But overall, SVM-RFE had the highest overfitting rate when an independent dataset used for a prediction in this case. Therefore, we developed a new feature selection algorithm called gradient method which had a pretty high training classification as well as prediction accuracy with the lowest over-fitting rate. Through the analysis of biomarkers that distinguished 14 class compounds, we found a goup of genes that mainly invovled in cell cylce were significanly downregulated by the metal and inflammatory compounds, but were induced by anti-microbial, cancer related drugs, pesticides, and PXR mediators. For in vitro experiment, primary cultured rat hepatocytes were treated one of 105 compounds with relative controls. At least three biological replicates were used for each unique condition. In total 531 arrays were used.
2010-01-05 | E-GEOD-19662 | biostudies-arrayexpress