Engineered transcription-associated Cas9 targeting in eukaryotic cells

DNA targeting Class 2 CRISPR-Cas effector nucleases, including the well-studied Cas9 proteins, evolved protospacer-adjacent motif (PAM) and guide RNA interactions that sequentially license their binding and cleavage activities at protospacer target sites. Both interactions are nucleic acid sequence specific but function constitutively; thus, they provide intrinsic spatial control over DNA targeting activities but naturally lack temporal control. Here we show that engineered Cas9 fusion proteins which bind to nascent RNAs near a protospacer can facilitate spatiotemporal coupling between transcription and DNA targeting at that protospacer: Transcription-associated Cas9 Targeting (TraCT). Engineered TraCT is enabled in eukaryotic yeast or human cells when suboptimal PAM interactions limit basal activity and when one or more nascent RNA substrates are still tethered to the actively transcribed target DNA in cis. Using yeast, we further show that this phenomenon can be applied for selective editing at one of two identical targets in distinct gene loci, or, in diploid allelic loci that are differentially transcribed. Our work demonstrates that temporal control over Cas9's targeting activity at specific DNA sites may be engineered without modifying Cas9's core domains and guide RNA components or their expression levels. More broadly, it establishes co-transcriptional RNA binding as a cis-acting mechanism that can conditionally stimulate CRISPR-Cas DNA targeting in eukaryotic cells.

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Publication Details

Journal
Nature Communications
Published
2024-11-27
DOI
https://doi.org/10.1038/s41467-024-54629-9
Citations
1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.23

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article

Engineered transcription-associated Cas9 targeting in eukaryotic cells

Gregory W. Goldberg, Sarah Keegan, Manjunatha Kogenaru, Max A. B. Haase et al.
1 citations
Nature Communications
CRISPR and Genetic Engineering
0.23
article

Engineered transcription-associated Cas9 targeting in eukaryotic cells

Gregory W. Goldberg, Sarah Keegan, Manjunatha Kogenaru, Max A. B. Haase, D. Beyer, Kenenna Onyebeke, Larisa Kagermazova, David Fenyö, Jef D. Boeke, Marcus B. Noyes, Mauricio A. Arias, Samantha Adams
article en
1 citations

Abstract

DNA targeting Class 2 CRISPR-Cas effector nucleases, including the well-studied Cas9 proteins, evolved protospacer-adjacent motif (PAM) and guide RNA interactions that sequentially license their binding and cleavage activities at protospacer target sites. Both interactions are nucleic acid sequence specific but function constitutively; thus, they provide intrinsic spatial control over DNA targeting activities but naturally lack temporal control. Here we show that engineered Cas9 fusion proteins which bind to nascent RNAs near a protospacer can facilitate spatiotemporal coupling between transcription and DNA targeting at that protospacer: Transcription-associated Cas9 Targeting (TraCT). Engineered TraCT is enabled in eukaryotic yeast or human cells when suboptimal PAM interactions limit basal activity and when one or more nascent RNA substrates are still tethered to the actively transcribed target DNA in cis. Using yeast, we further show that this phenomenon can be applied for selective editing at one of two identical targets in distinct gene loci, or, in diploid allelic loci that are differentially transcribed. Our work demonstrates that temporal control over Cas9's targeting activity at specific DNA sites may be engineered without modifying Cas9's core domains and guide RNA components or their expression levels. More broadly, it establishes co-transcriptional RNA binding as a cis-acting mechanism that can conditionally stimulate CRISPR-Cas DNA targeting in eukaryotic cells.

Nature CommunicationsVol. 15(1)
Institute for Systems Biology (US), Courant Institute of Mathematical Sciences (US), NYU Langone Health (US), Sam Ratulangi University (ID), New York University (US)
National Institutes of Health, National Human Genome Research Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 41%
CRISPR and Genetic Engineering
0.23
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