Evidence map›Paper›PMID 41415688›Full record

ArticleBiodesign research2025

Engineered RNA-based activation system for coronavirus sensing in live cells.

Leiping Zeng, Christian Otero, Lei S Qi

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

3 authors.

Leiping ZengDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Christian OteroDepartment of Chemical Engineering, Stanford University, Stanford, CA, 94305, USA.
Lei S QiDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time sensing of viral infection in live cells is crucial for virology research and antiviral development. However, existing methods face challenges of low signal sensitivity and the necessity for viral manipulation and cell fixation. Here, we develop a Viral-Engineered RNA-based Activation System (VERAS) that harnesses the viral replicase to induce transgene expression upon viral infection. VERAS is designed to detect real-time viral transcription and replication in live cells, which can trigger the translation of reporter and therapeutic genes. By integrating a viral packaging sequence, VERAS can also be transmitted to neighboring cells through progeny virions, effectively acting as a 'Trojan Horse'. The negative-stranded VERAS elements demonstrated effective detection of several coronaviruses, including 229E and OC43, due to the conservation of cis-acting RNA structures across coronaviruses. Notably, VERAS functions as a dual-purpose system, acting both as an infection detector and inducible antiviral system. VERAS has the potential for basic virology research applications and can be adopted in improving the inducible expression of mRNA medicines for future coronaviruses.

Indexed as

AntiviralCoronavirusLive cell detectionRNA sensorSynthetic biology

Identifiers

PMID41415688
PMCPMC12710057

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.