LAUSR

The budding yeast (Saccharomyces Cerevisiae) and Fission yeast (Saccharomyces Pombe) gene deletion libraries are a useful tool for high throughput screening of anti-cancer drugs. But using the data derived by high-throughput screening of yeast library to identify corresponding human homologs and their status in various human cancers is a cumbersome process. We have developed a web based application called Oncoyeasti, that enables the researcher to automatically identify the corresponding human homologs of S Cerevisiae and S Pombe genes and the status of these homolog genes in more than 45000 tumor sample datasets of The Cancer Genome Atlas (TCGA) Database and the cancer cell lines datasets present in Cancer Cell Line Encyclopedia. We used server side scripting language PHP for web development platform along with MYSQL interface for matching the input S. Cerevisiae or S. Pombe genes with the corresponding Human Homologs and generate an URL link for the cBio Cancer Genomics Portal, used to navigate TCGA Database and CCLE databases. Our web based application has the capability to analyze up to 100 S. Cerevisiae or S. Pombe genes at once. This would enable the scientists to translate their research from yeast to humans by identifying the human cancers and cancer cell lines in which the human homologs of the corresponding yeast genes are perturbed. Citation Format: Ruby Gupta, Nikhilesh Anand, Samir Cayenne, David Otohinoyi, Debjyoti Talukdar, Ashish Patil. Oncoyeasti: a web-based application to translate data obtained from yeast high-throughput drug screens into cancer therapeutics [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2017 Oct 26-30; Philadelphia, PA. Philadelphia (PA): AACR; Mol Cancer Ther 2018;17(1 Suppl):Abstract nr LB-A02.