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Leading investigators in diabetes, pancreas and islet biology, and computational biology have received $12.5 million in two five-year awards from the National Institutes of Health to create the world's first, integrated knowledgebase of human-derived tissue- and cellular-level pancreatic information to support innovative, collaborative and reproducible research. ....
UC San Diego researchers receive $6 million NIH grant to study insulin-producing cells news-medical.net - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from news-medical.net Daily Mail and Mail on Sunday newspapers.
Genetic Tools Detect Culprit for Type 1 Diabetes by Angela Mohan on May 21, 2021 at 10:28 AM Nature. Type 1 diabetes is am autoimmune disease with loss of insulin-producing pancreatic beta cells. It is less common than type 2 diabetes, but its prevalence is growing. Currently, there is no cure, only disease management. The U.S. Centers for Disease Control and Prevention projects 5 million Americans will have type 1 diabetes by 2050. Numerous genome-wide association studies (GWAS) have been conducted in recent years in which researchers compare whole genomes of persons with the same disease or condition, searching for differences in the genetic code that may be associated with that disease or condition. ....
Genomic analysis reveals cellular cause of type 1 diabetes 1 Combining two genomic methodologies, researchers have shown that pancreatic exocrine cells are implicated in type 1 diabetes. By mapping its genetic underpinnings, researchers at University of California, San Diego, US, have identified a predictive causal role for specific cell types in type 1 diabetes. According to the researchers, type 1 diabetes is characterised by the impairment and loss of insulin-producing pancreatic beta cells and subsequent hyperglycemia. The mechanisms of type 1 diabetes, including how autoimmunity is triggered, are poorly understood. Due to its strong genetic component, numerous genome-wide association studies (GWAS) have been conducted in recent years where researchers compare whole genomes of persons with the same disease or condition. In the case of type 1 diabetes, identified at-risk variants have largely been found in the non-coding regions of the genome. ....