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.

2018-05-08 | GSE107489 | GEO

CD-1mice: db/db vs db/+

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.

2015-09-01 | E-GEOD-70527 | biostudies-arrayexpress

Effects of Adjudin on gene expression of db/db mouse pancreatic islets

Project description:To investigate effects of Adjudin on gene expression of islets from db/db mouse, islets from 12 to 13 weeks old male db/db mice were isolated, cultured in incubator for overnight recovery, and treated with either DMSO or 10 µM Adjudin for 1 day before RNA sequencing.

2023-07-07 | GSE235396 | GEO

circRNA expression in db/db mouse

Project description:This research was detected the differentially expressed circular RNAs in the heart tissues of WT mouse and db/db mouse. We have completed the circRNA Arraystar mouse V.2 analysis of the 3 wt mouse and 3 db/db mouse age 3 month. Whole heart tissue RNA samples were collected and then were digested with RNAse R. Total RNA from each sample was quantified using the NanoDrop ND-1000. The sample preparation and microarray hybridization were performed based on the Arraystar?s standard protocols.

2023-03-01 | GSE199133 | GEO

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