| Literature DB >> 27432158 |
Xiaoyi Li1,2, Raymond Wu1,2, Andrea Ventura3.
Abstract
The widespread use of high-throughput genome sequencing methods is profoundly changing the way we understand, classify, and treat human cancers. To make sense of the deluge of sequencing data generated in the clinic, more effective and rapid assessments of the functional relevance of newly discovered cancer-associated mutations are urgently needed. In this review, we discuss how genome editing technologies are responding to this major challenge. Largely focusing on CRISPR-based methods, we will highlight their potential to accelerate discovery, discuss their current limitations, and speculate about future applications.Entities:
Mesh:
Year: 2016 PMID: 27432158 PMCID: PMC5512423 DOI: 10.1007/s00439-016-1713-3
Source DB: PubMed Journal: Hum Genet ISSN: 0340-6717 Impact factor: 4.132