Yeast Augmented Network Analysis (YANA): a new systems approach to identify therapeutic targets for human genetic diseases

David J. Wiley, Ilona Juan, Hao Le, Xiaodong Cai, Lisa Baumbach, Christine Beattie, Gennaro D'Urso
2014 F1000Research  
Genetic interaction networks that underlie most human diseases are highly complex and poorly defined. Better-defined networks will allow identification of a greater number of therapeutic targets. Here we introduce our east ugmented etwork nalysis (YANA) approach Y A N A and test it with the X-linked spinal muscular atrophy (SMA) disease gene First, we express and a mutant variant in fission yeast and use UBA1. UBA1 high-throughput methods to identify fission yeast genetic modifiers of . UBA1
more » ... ond, we analyze available protein-protein interaction network databases in both fission yeast and human to construct genetic networks. Third, from UBA1 these networks we identified potential therapeutic targets for SMA. Finally, we validate one of these targets in a vertebrate (zebrafish) SMA model. This study demonstrates the power of combining synthetic and chemical genetics with a simple model system to identify human disease gene networks that can be exploited for treating human diseases. How to cite this article: et al. Yeast Augmented Network Analysis (YANA): a new systems approach to identify 2014, :121 (doi: therapeutic targets for human genetic diseases [version 1; referees: 2 approved] F1000Research 3 )
doi:10.12688/f1000research.4484 fatcat:wuvhj2n2qbcangvwqy5nn72o7q