Evidence map›Paper›PMID 40881402›Full record

ArticleJACS Au2025

A De Novo Luciferase Bioconjugate for the Cas13-Based Detection of Influenza A.

Mary Canzano, Joseph L Harman, Yanira Méndez, Alfredo Quijano-Rubio, Daniel-Adriano Silva, Gonçalo J L Bernardes

Abstract read
In one paragraph

Article in JACS Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mary CanzanoYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.ORCID https://orcid.org/0000-0003-4233-5370
Joseph L HarmanMonod Bio Inc., Seattle, Washington 98109, United States.
Yanira MéndezYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
Alfredo Quijano-RubioMonod Bio Inc., Seattle, Washington 98109, United States.ORCID https://orcid.org/0000-0003-1567-9530
Daniel-Adriano SilvaMonod Bio Inc., Seattle, Washington 98109, United States.
Gonçalo J L BernardesYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.ORCID https://orcid.org/0000-0001-6594-8917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid, accurate, and accessible diagnostics for pathogenic infections are of vital importance for the prevention of disease transmission and mitigation of future pandemics. Biosensors employing the CRISPR nuclease Cas13 have enabled robust detection of viral RNA. However, existing Cas13-based diagnostics primarily utilize fluorescent or lateral flow assay (LFA) readouts, impeding detection in complex sample media. Here, we have developed a luciferase-based Cas13 diagnostic containing a protein-nucleic acid conjugate, coined Selective One-pot LUminescent Nucleic Acid Reporter (SOLUNAR). SOLUNAR utilizes RNA which has been site-selectively bioconjugated to block the binding of a de novo heterodimeric protein pair. In the presence of a viral target, the sensor RNA is cleaved by the collateral activity of Cas13, restoring binding and yielding a luminescent signal by the reconstitution of a tagged de novo split luciferase. An integral component of SOLUNAR, the use of de novo proteins enabled precise engineering of site-selective chemical handles and tunable binding affinities to modulate activity. SOLUNAR selectively detects Influenza A H1N1 at room temperature in one-pot with a limit of detection (LOD) of 1.5 nM without amplification and is compatible with samples containing ≤10% serum. Our findings demonstrate the utility of luminescence in Cas13 diagnostics and reveal the potential applications of this platform to activity-based enzymatic sensing.

Indexed as

bioconjugationCas13de novo proteinsdiagnosticsluciferaseoptical biosensor

Identifiers

PMID40881402
PMCPMC12381745

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.