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. SOURCE: Abraham,Neelankal,John (21472448@student.uwa.edu.au) - Islets cell development Harry Perkins Institute of Medical Research

Pluto Bioinformatics

GSE107489: RNA-seq to compare wild type, db/+ and db/db islets