Project description:Purpose: RNA seq analysis were to compare and contrast the gene expression profile involved in the dedifferentiation of db/db islets in type 2 diabetes Methods: Islets of wild type, db/+ and db/db were purified using perfusion from 12 week old mice and RNA were isolated. Islated RNA were used in RNA seq to understand the expression pattern Results: Using an optimized data analysis workflow, we mapped about 10 million sequence reads per sample to the mouse genome (build mm9) and identified 16,014 transcripts WT, db/+ and db/db mice islets with TopHat workflow. Hierarchical clustering of differentially expressed genes uncovered there role in type 2 diabetes. Data analysis with TopHat workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling. Conclusions: We characterised and identified genes involved in dedifferentiation of islets.
Project description:Transcriptional profiling of mouse white adipose tissues. The objective of this study is to explore gene expression profiles of obese adipose tissue by DNA microarray data analysis. Male db/db (BKS.Cg-m+/+ Lepr db/J, 6 weeks old) and db/+ (BKS.Cg-Dock7m +/+ Lepr db/J, 6 weeks old) mice were used in this experiment.