Nature CommunicationsCell BiologyPeer-reviewed journal article
Chemically modified CRISPR-Cas9 enables targeting of individual G-quadruplex and i-motif structures, revealing ligand-dependent transcriptional perturbation.
Sabrina Pia NuccioiD, Enrico CadoniiD, Roxani NikoloudakiiD, Silvia GalliiD, An-Jie Ler, Claudia Sanchez-CabanillasiD, Thomas E. MaheriD, Ella Fan, Dilek GuneriiD, Gem FlintiD, Minghui Zhu, Ling Sum LiuiD, Christopher R. FullenkampiD, Zoë A. E. WalleriD, Luca MagnaniiD, John S. SchneeklothiD, Marco Di AntonioiD
Abstract
The development of selective ligands to target DNA G-quadruplexes (G4s) and i-motifs (iMs) has revealed their relevance in transcriptional regulation. However, most of these ligands are unable to target individual G4s or iMs in the genome, severely limiting their scope. Herein, we describe a new Approach to Target Exact Nucleic Acid alternative structures (ATENA) that relies on the chemical conjugation of established G4 and iM ligands to a catalytically inactive Cas9 protein (dCas9), enabling their individual targeting in living cells. ATENA demonstrated that the selective targeting of the G4 present in the oncogene c-MYC leads to the suppression of transcripts regulated exclusively by one of its promoters (P1). Conversely, targeting the c-MYC iMs on the opposite strand leads to the selective increase of P1-driven transcripts. ATENA revealed that G4-mediated transcriptional responses are highly ligand-specific, with different ligands eliciting markedly different effects at the same G4-site. We further demonstrated that the basal expression levels of the gene targeted can be used to predict the transcriptional impact associated with G4-stabilization. Our study provides an innovative platform to investigate G4- and iM-biology with high precision and unveils the therapeutic relevance of individual DNA structures with unprecedented selectivity.
- organism: human
- assay: DNA methylation
- assay: proteomics
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- Citations
- 22
- FWCI
- 6.08
- Field percentile
- top 2%
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