PT  - JOURNAL ARTICLE
AU  - Anthony Kulesa
AU  - Jared Kehe
AU  - Juan Hurtado
AU  - Prianca Tawde
AU  - Paul C. Blainey
TI  - Combinatorial Drug Discovery in Nanoliter Droplets
AID  - 10.1101/210492
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 210492
4099  - http://biorxiv.org/content/early/2017/11/03/210492.short
4100  - http://biorxiv.org/content/early/2017/11/03/210492.full
AB  - Combinatorial drug treatment strategies perturb biological networks synergistically to achieve therapeutic effects and represent major opportunities to develop advanced treatments across a variety of human disease areas. However, the discovery of new combinatorial treatments is challenged by the sheer scale of combinatorial chemical space. Here we report a high-throughput system for nanoliter-scale phenotypic screening that stabilizes a chemical library in nanoliter droplet emulsions and automates the formulation of chemical combinations en mass using parallel droplet processing. We apply this system to predict synergy between more than 4,000 investigational and approved drugs and a panel of 10 antibiotics against E. coli, a model Gram-negative pathogen. We found a range of drugs not previously indicated for infectious disease that synergize with antibiotics. Our validated hits include drugs that synergize with the antibiotics vancomycin, erythromycin, and novobiocin, which are used against Gram-positive bacteria but are not effective by themselves to resolve Gram-negative infections.