Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network
Albi Celaj1,2,3,4, Marinella Gebbia1,2,3, Louai Musa1,2,3, Atina G. Cote1,2,3, Jamie Snider1, Victoria Wong1, Minjeong Ko1,2,3,4, Tiffany Fong1,2,3, Paul Bansal1,2,3, Joseph C. Mellor1,2,3, Gireesh Seesankar1,2,3, Maria Nguyen1,2,3, Shijie Zhou1,2,3, Liangxi Wang1,2,3,4, Nishka Kishore1,2,3, Igor Stagljar1,3,5,6, Yo Suzuki7, Nozomu Yachie1,2,7,8,9,10,11, Frederick P. Roth1,2,3,4,7
1Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
2Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
3Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
4Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
5Department of Biochemistry, University of Toronto, Toronto, ON M5S 1A8, Canada
6Mediterranean Institute for Life Sciences, Split 21 000, Croatia
7Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
8Synthetic Biology Division, Research Center for Advanced Science and Technology, University of Tokyo, Tokyo 153-8904, Japan
9Department of Biological Sciences, School of Science, University of Tokyo, Tokyo 113-0033, Japan
10Institute for Advanced Biosciences, Keio University, Yamagata, 997-0035, Japan
11PRESTO, Japan Science and Technology Agency, Tokyo 153-8904, Japan