Identification of small RNA pathway and human disease loci genes from eukaryotic genomes

4^th International Conference and Exhibition on Metabolomics & Systems Biology

April 27-29, 2015 Philadelphia, USA

Yuval Tabach

Posters-Accepted Abstracts: Metabolomics

Abstract :

Different eukaryotes have developed extraordinary traits such as genetic resistance to cancer and hypoxia, increased life span, ability to hibernate, regeneration of lost tissue, and adaptation to sever environments. Comparing the genomes of these and other species can reveal the genetic - phenotype - environmental crosstalk and tackle fundamental bio-medical challenges. In the recent years we have been analyzing hundreds eukaryotes genomes, evaluating simultaneously the evolution of each protein across the tree of life. By mapping all human genes into about 1000 clusters of genes, with distinct patterns of conservation across eukaryotic phylogeny,we demonstrated that sets of genes associated with different cancers, metabolic diseases and hundreds of diseases phenotypes in addition to most gene networks have similar phylogenetic profile. Furthermore,by integrating the evolutionary map with comprehensive omic data we identified novel connection between the microphthalmia-associated transcription factor (MITF), a key factor in melanoma, and the Notch signaling pathway. Using this method to study miRNA and RNAi pathways, we identified sets of 88 proteins that show similar phylogenetic profiles with known small RNA cofactors and are essential to the RNAi machinery function. Our analysis thus establishes connectivity between different diseases and pathways, linking diseases phenotypes and functional gene groups.