Project description:Antrodia Camphorata is well known in Taiwan as a folk medicinal fungus with anticancer and anti-inflammatory effects. In this study, we used a human acute myelogenous leukemia cell line, KG-1, as the experimental model and constructed a high-throughput gene screen integrated platform by using a combination of herbal identification, UV-VIS spectrophotometry, high performance liquid chromatography (HPLC), inductively coupled plasma mass spectrometry (ICPMS), and DNA microarray technology. Based on this science-based platform, we developed a practical quantitative method and also established an organic/inorganic chemical fingerprint for the herbal materials. In the mean while, the global gene expression patterns of the KG-1 cells treated with various A. camphorata mycelia extracts (water and methanol extracts) were compared. Furthermore, several possible biological responses and relevant marker gene would be identified by our high-throughput integrated platform. Keywords: KG-1 treated with AC extracts for 4 days, cDNA microarray, biomarker selection.
Project description:Antrodia Camphorata is well known in Taiwan as a folk medicinal fungus with anticancer and anti-inflammatory effects. In this study, we used a human acute myelogenous leukemia cell line, KG-1, as the experimental model and constructed a high-throughput gene screen integrated platform by using a combination of herbal identification, UV-VIS spectrophotometry, high performance liquid chromatography (HPLC), inductively coupled plasma mass spectrometry (ICPMS), and DNA microarray technology. Based on this science-based platform, we developed a practical quantitative method and also established an organic/inorganic chemical fingerprint for the herbal materials. In the mean while, the global gene expression patterns of the KG-1 cells treated with various A. camphorata mycelia extracts (water and methanol extracts) were compared. Furthermore, several possible biological responses and relevant marker gene would be identified by our high-throughput integrated platform. Keywords: KG-1 treated with AC extracts for 4 days, cDNA microarray, biomarker selection. We used optimal loop design to calculate the gene expression profile. In this design, we used labeled RNA from each sample to labeled three slides for a total of nine arrays. Therefore, the data computations were consisted of 18 measurements (6 samples with 3 replicates) for each of 7334 genes. Besides, duplicated water-treatment samples were used as internal control
Project description:cDNA microarray study of gene expression changes in whole blood from LPS treated rats, 2 and 6 hours after I.P. injection of 5 mg/kg Keywords: time-course
Project description:We compared RNA samples extracted from spinal cords of control (C) and AT-EAE (E) mice using the "Multiple Yellow" strategy. 4 distinct C-extracts were hybridized with two slides and 4 distinct E-extracts with other two slides, and the green/red normalized signals were compared separately and the E/C ratios averaged. Keywords = white matter Keywords = inflammation Keywords = cDNA microarray Keywords = experimental autoimmune encephalomyelitis