Massachusetts Institute of Technology

The Broad Institute, Inc.

Anthony Kulesa

Paul Blainey

Jared Kehe

Kan Xiong

The present invention relates to compositions which may comprise a non-naturally occurring or engineered artificial transcription factor, wherein the transcription factor may comprise a sequence specific DNA binding domain, a sliding domain, and one or more linkers, wherein the DNA binding domain and the sliding domain are operably connected by the one or more linkers, and uses thereof. Methods involving the use of a non-naturally occurring or engineered artificial transcription factors and pharmaceutical compositions, methods for treating cancer, a degenerative disease, a genetic disease or an infectious disease as well as diagnostic methods are also contemplated by the present invention.

Artificial transcription factors comprising a sliding domain and uses thereof

Compositions and methods for combinatorial drug discovery in nanoliter droplets are described. Novel synergistic agents that increase efficacy of antibiotic agents to treat bacterial infection are disclosed.

Compositions and methods for combinatorial drug discovery in nanoliter droplets

Embodiments disclosed herein are directed to microfluidic devices that allow for scalable on-chip screening of combinatorial libraries and methods of use thereof. Droplets comprising individual molecular species to be screened are loaded onto the microfluidic device. The droplets are labeled by methods known in the art, including but not limited to barcoding, such that the molecular species in each droplet can be uniquely identified. The device randomly sorts the droplets into individual microwells of an array of microwells designed to hold a certain number of individual droplets in order to derive combinations of the various molecular species. The paired droplets are then merged in parallel to form merged droplets in each microwell, thereby avoiding issues associated with single stream merging. Each microwell is then scanned, e.g., using microscopy, such as high content imaging microscopy, to detect the optical labels, thereby identifying the combination of molecular species in each microwell.

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Cambridge, MA, United States of America

Anthony Kulesa