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ABSTRACT:
PROVIDER: PRJNA1108222 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Astragalus polysaccharides (APS), as one of the main effective components of astragalus, have been reported to regulate the processes of inflammation, metabolism, and carcinogenes. We used microarrays to detect the different expression of mRNA in PC3 cells upon APS treatment.
2019-09-17 | GSE137486 | GEO
Project description:To identify biomarkers regulated by traditional Chinese medicine Astragalus membranaceus Fischer Bge. var. mongolicus Bge. Hsiao in colorectal cancer. We have identified several differentially expressed genes including microRNAs using Affymetrix HTA-2.0 array. In this dataset, we include the expression data obtained from colon cancer cell line HCT116 grafted into nude mice. The mice was treated either water or traditional Chinese medicine Astragalus membranaceus for 28 days. These data are used to obtain 1425 genes that are differentially expressed in response to Astragalus membranaceus treatment.
2017-02-13 | GSE70772 | GEO
Project description:Objective: To study the effect of astragalus polysaccharide combined with metformin on mRNA expression profile of type 2 diabetic mice, and to explore the molecular mechanism of astragalus polysaccharide combined with metformin in the treatment of type 2 aging diabetes. Methods: Natural aging mice were induced by high-sugar and high-fat diet combined with streptozotocin to prepare aging diabetes model. The experimental mice were divided into aging control group, aging diabetes model group, metformin treatment group, astragalus polysaccharide and metformin. The treatment group was treated with gavage for 60 consecutive days. Immunohistochemical detection of insulin levels in pancreatic tissue of each group of mice, serum insulin levels were measured by mouse insulin kit to observe the treatment of aging diabetes and astragalus polysaccharide combined with metformin; using Agilent mouse whole gene expression profile chip The mRNA expression changes of liver tissues in each group were analyzed, and the differential genes were screened by bioinformatics tools and the differential genes and signal pathways were enriched and analyzed. Results: Compared with the aging group, the insulin and insulin antibody levels in the model group were significantly decreased (P<0.05). Compared with the model group, the insulin and insulin antibody levels in the two treatment groups increased (P<0.05), and jaundice The level of polysaccharide in combination with metformin was significantly higher than that in metformin group (P<0.05). The differential gene analysis of the chip showed that there were 5617 differential genes in the aging diabetes model group, 3131 were up-regulated, and 2486 were down-regulated; the Astragalus polysaccharide combined with metformin treatment group had 4767 differential genes, compared with the aging diabetes model group. 2143 up-regulated, 2624 down-regulated, genes with significant differences were mainly involved in protease activity and drug metabolism, and significantly enriched into 33 signaling pathways (P<0.01). Conclusion: The gene regulatory network plays an important role in the intervention of Astragalus polysaccharides and metformin in the treatment of aging type 2 diabetes.
2022-06-12 | GSE132599 | GEO
Project description:Objective: To study the effect of astragalus polysaccharide combined with metformin on mRNA expression profile of type 2 diabetic mice, and to explore the molecular mechanism of astragalus polysaccharide combined with metformin in the treatment of type 2 aging diabetes. Methods: Natural aging mice were induced by high-sugar and high-fat diet combined with streptozotocin to prepare aging diabetes model. The experimental mice were divided into aging control group, aging diabetes model group, metformin treatment group, astragalus polysaccharide and metformin. The treatment group was treated with gavage for 60 consecutive days. Immunohistochemical detection of insulin levels in pancreatic tissue of each group of mice, serum insulin levels were measured by mouse insulin kit to observe the treatment of aging diabetes and astragalus polysaccharide combined with metformin; using Agilent mouse whole gene expression profile chip The mRNA expression changes of liver tissues in each group were analyzed, and the differential genes were screened by bioinformatics tools and the differential genes and signal pathways were enriched and analyzed. Results: Compared with the aging group, the insulin and insulin antibody levels in the model group were significantly decreased (P<0.05). Compared with the model group, the insulin and insulin antibody levels in the two treatment groups increased (P<0.05), and jaundice The level of polysaccharide in combination with metformin was significantly higher than that in metformin group (P<0.05). The differential gene analysis of the chip showed that there were 5617 differential genes in the aging diabetes model group, 3131 were up-regulated, and 2486 were down-regulated; the Astragalus polysaccharide combined with metformin treatment group had 4767 differential genes, compared with the aging diabetes model group. 2143 up-regulated, 2624 down-regulated, genes with significant differences were mainly involved in protease activity and drug metabolism, and significantly enriched into 33 signaling pathways (P<0.01). Conclusion: The gene regulatory network plays an important role in the intervention of Astragalus polysaccharides and metformin in the treatment of aging type 2 diabetes.
2019-12-06 | GSE124813 | GEO
Project description:A total of 30 differential genes were callbacked in colon tumor samples after AC(Astragalus zedoary extract) treatment.
2021-03-17 | GSE169005 | GEO
Project description:We generated miRNA expression profiles of testes from breeder cocks fed with control diets and extra Astragalus Polysaccharide. A total of 663 and 660 miRNAs were expressed in control and APS groups, and there were 16 up-expressed miRNAs and 17 down-expressed miRNAs in APS group, compared with the control group meeting the criteria of P-values<0.05.
2017-03-08 | GSE79479 | GEO