Engineering Complex Synthetic Transcriptional Programs with CRISPR RNA Scaffolds
Author(s) -
Jesse G. Zalatan,
Michael E. Lee,
Ricardo Almeida,
Luke A. Gilbert,
Evan H. Whitehead,
Marie La Russa,
Jordan C. Tsai,
Jonathan S. Weissman,
John E. Dueber,
Lei S. Qi,
Wendell A. Lim
Publication year - 2014
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2014.11.052
Subject(s) - biology , crispr , effector , computational biology , synthetic biology , gene , cas9 , regulation of gene expression , encode , rna , transcriptional regulation , genome engineering , scaffold protein , gene expression , genetics , microbiology and biotechnology , signal transduction
Eukaryotic cells execute complex transcriptional programs in which specific loci throughout the genome are regulated in distinct ways by targeted regulatory assemblies. We have applied this principle to generate synthetic CRISPR-based transcriptional programs in yeast and human cells. By extending guide RNAs to include effector protein recruitment sites, we construct modular scaffold RNAs that encode both target locus and regulatory action. Sets of scaffold RNAs can be used to generate synthetic multigene transcriptional programs in which some genes are activated and others are repressed. We apply this approach to flexibly redirect flux through a complex branched metabolic pathway in yeast. Moreover, these programs can be executed by inducing expression of the dCas9 protein, which acts as a single master regulatory control point. CRISPR-associated RNA scaffolds provide a powerful way to construct synthetic gene expression programs for a wide range of applications, including rewiring cell fates or engineering metabolic pathways.
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