LUCas: Light-Uncaged Cas13a using photocleavable interfering guide RNAs

CRISPR diagnostics have emerged as powerful tools for detecting infectious diseases, with the RNA endonuclease Cas13a enabling sensitive and specific, amplification-free RNA detection through collateral <i>trans</i> -cleavage of fluorescent reporters. However, background cleavage from unbound enzyme, contaminating nucleases, and unsynchronized initiation of reactions limits assay sensitivity and interpretability. A strategy to precisely control the onset of Cas13a catalytic activity, essentially a molecular "starting gun", would address these challenges and expand assay design space. Here, we introduce Light-Uncaged Cas13a (LUCas), a light controllable system that directly gates Cas13a using a photocleavable interfering guide RNA (pc-igRNA) that suppresses <i>trans</i> -cleavage activity even in the presence of target RNA. Brief UV illumination releases this suppression, restoring full activity. Quantitative kinetic analysis reveals an approximately 100-fold suppression of <i>trans</i> -cleavage activity prior to photo-activation. Importantly, LUCas also suppresses target-independent background activity, enabling a predictive, background-limited determination of assay sensitivity. Using measured kinetic parameters, we predict and experimentally validate the limit-of-detection of the LUCas system. Finally, we demonstrate a multiplexed detection strategy termed "temporal barcoding," which enables quantitative detection of viral co-infections in a single bulk reaction. Together, these results establish LUCas as a general framework for mechanistically informed, light-based control of Cas13a activity.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-04
DOI
https://doi.org/10.64898/2026.02.02.700737
Primary Topic
CRISPR and Genetic Engineering
Type
article
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article

LUCas: Light-Uncaged Cas13a using photocleavable interfering guide RNAs

Deepak Krishnamurthy, Carlos F. Ng, Aymeric Chorlay, Daniel A. Fletcher et al.
bioRxiv (Cold Spring Harbor Laboratory)
CRISPR and Genetic Engineering
article

LUCas: Light-Uncaged Cas13a using photocleavable interfering guide RNAs

Deepak Krishnamurthy, Carlos F. Ng, Aymeric Chorlay, Daniel A. Fletcher, Andres Dextre
article en

Abstract

CRISPR diagnostics have emerged as powerful tools for detecting infectious diseases, with the RNA endonuclease Cas13a enabling sensitive and specific, amplification-free RNA detection through collateral <i>trans</i> -cleavage of fluorescent reporters. However, background cleavage from unbound enzyme, contaminating nucleases, and unsynchronized initiation of reactions limits assay sensitivity and interpretability. A strategy to precisely control the onset of Cas13a catalytic activity, essentially a molecular "starting gun", would address these challenges and expand assay design space. Here, we introduce Light-Uncaged Cas13a (LUCas), a light controllable system that directly gates Cas13a using a photocleavable interfering guide RNA (pc-igRNA) that suppresses <i>trans</i> -cleavage activity even in the presence of target RNA. Brief UV illumination releases this suppression, restoring full activity. Quantitative kinetic analysis reveals an approximately 100-fold suppression of <i>trans</i> -cleavage activity prior to photo-activation. Importantly, LUCas also suppresses target-independent background activity, enabling a predictive, background-limited determination of assay sensitivity. Using measured kinetic parameters, we predict and experimentally validate the limit-of-detection of the LUCas system. Finally, we demonstrate a multiplexed detection strategy termed "temporal barcoding," which enables quantitative detection of viral co-infections in a single bulk reaction. Together, these results establish LUCas as a general framework for mechanistically informed, light-based control of Cas13a activity.

bioRxiv (Cold Spring Harbor Laboratory)
Gladstone Institutes (US), Lawrence Berkeley National Laboratory (US), University of California, San Francisco (US), Chan Zuckerberg Initiative (United States) (US), University of California, Berkeley (US)
Openalex Percentile: Top 68%
CRISPR and Genetic Engineering
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