Reconstruction and computational modelling of inflammatory pathways activated by ketogenic diet through RNA-Seq dataset analysis.
Inflamation is a dinamic and complex process that aims the total tissuerecovery in face to microorganisms action, tissue gamage, trauma or othertypes of stress. Obesity is a inflammatory, chronic and sistemic processevidenced by increasing fat that predisposes to chronic diseases such as type2 diabetes, fatty liver and cancer, for example. To control obesity, manytypes of diet restrictions show good results, including caloric restrition andketogenic diet, moreover, evidences show that this diets improve longevityand oxidative aging damage from DNA in individuals under this diets.This project will investigate the gene expression under ketogenic dietsearching for differentially expressed genes and biologycal networks relatedto inflammation and DNA repair.So far three publically available microarray datasets of mouse liver havebeen analysed and reported differentially expressed genes and Gene Ontologycategories that are statistically overrepresented. Three RNA-Seq datasets areunder analysis and are target for differentially expressed genes analysis andGene Ontology categories enrichment analysis.The final scope of the project is to integrate the six analyses to adresswhich genes and biological networks respond to ketogenic diet.