Evidence map›Paper›PMID 39903512›Full record

ArticleThe Journal of general virology2025

Targeting pseudoknots with Cas13b inhibits porcine epidemic diarrhoea virus replication.

Hee-Jeong Han, Daseuli Yu, Jeonghye Yu, Jihye Kim, Won Do Heo, Dongseob Tark, Sang-Min Kang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of general virology, 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

7 authors.

Hee-Jeong HanLaboratory for Infectious Disease Prevention, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Daseuli YuDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Jeonghye YuDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Jihye KimDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Won Do HeoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Dongseob TarkLaboratory for Infectious Disease Prevention, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Sang-Min KangLaboratory for Infectious Disease Prevention, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clustered regularly interspaced short palindromic repeats-associated protein 13 (CRISPR-Cas13), an RNA editing technology, has shown potential in combating RNA viruses by degrading viral RNA within mammalian cells. In this study, we demonstrate the effective inhibition of porcine epidemic diarrhoea virus (PEDV) replication and spread using CRISPR-Cas13. We analysed the sequence similarity of the pseudoknot region between PEDV and severe acute respiratory syndrome coronavirus 2, both belonging to the

Indexed as

Coronavirus InfectionsCRISPR-Associated ProteinsCRISPR-Cas SystemsPorcine epidemic diarrhea virusRNA, ViralVirus ReplicationAnimalsAntiviral AgentsCell LineChlorocebus aethiopsRNA-Dependent RNA PolymeraseSwineSwine DiseasesVero CellsAntiviral AgentsCRISPR-Associated ProteinsRNA-Dependent RNA PolymeraseRNA, ViralCRISPR-Cas13bCRISPR RNAs (crRNAs)porcine epidemic diarrhoea virus (PEDV)pseudoknotRNA editingviral replication

Identifiers

PMID39903512
PMCPMC11793167

What OpenQuestion holds

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Registered trials

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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.