Primer: A deconvolution framework for the analysis of CRISPR tiling screen data
Massachusetts General Hospital; Harvard Medical School; Ó³»´«Ã½
Pinello Lab, Massachusetts General Hospital (MGH); Joung Lab, MGH, Harvard Medical School; Collins Lab, Massachusetts Institute of Technology
The advent of programmable genome editing using CRISPR-based technologies has allowed for high-throughput functional interrogation of non-coding elements throughout the genome. Functional mapping can be achieved by densely tiling single guide RNAs (sgRNAs) across a non-coding region of interest, where each sgRNA enables linking of a unique genomic location to an observable phenotype. Here we present CRISPR-SURF, a generalizable deconvolution framework, to discover and dissect non-coding regulatory elements from the analysis of CRISPR tiling screen data. Luca Pinello will open up the talk by motivating why people are excited about CRISPR tiling screen and describing the key ideas and challenges. Jonathan Hsu will dive into the details of the proposed deconvolution framework - the method at the heart of CRISPR-SURF - and discuss an efficient implementation for it. Finally, we will discuss future directions for the use of CRISPR-Cas tiling screens.