Evidence map›Paper›PMID 38499155›Full record

ArticleVirologica Sinica2024

Integration of HiBiT into enteroviruses: A universal tool for advancing enterovirus virology research.

Rui Yu, Xiaohong Li, Peng Zhang, Minghao Xu, Jitong Zhao, Jingjing Yan, Chenli Qiu, Jiayi Shu, Shuo Zhang, Miaomiao Kang and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Virologica Sinica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

13 authors at 6 institutions in 1 country.

Rui YuSchool of Medicine, Shanghai University, Shanghai, 200444, China.
Xiaohong LiSchool of Medicine, Shanghai University, Shanghai, 200444, China.
Peng ZhangGuangzhou Institutes of Biomedicine and Health, The Chinese Academy of Sciences, Guangzhou, 510530, China.
Minghao XuInstitutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
Jitong ZhaoInstitutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
Jingjing YanShanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
Chenli QiuClinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200433, China; Shanghai Geriatric Medical Center, Shanghai, 201104, China.
Jiayi ShuClinical Center for Biotherapy, Zhongshan Hospital/Zhongshan Hospital (Xiamen), Fudan University, 361015, China.
Shuo ZhangClinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
Miaomiao KangClinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
Xiaoyan ZhangClinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200433, China. Electronic address: zhangxiaoyan@fudan.edu.cn.
Jianqing XuClinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200433, China. Electronic address: xujianqing@fudan.edu.cn.
Shuye ZhangSchool of Medicine, Shanghai University, Shanghai, 200444, China; Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200433, China. Electronic address: shuye_zhang@fudan.edu.cn.
Fudan University · CNShanghai University · CNChinese Academy of Sciences · CNShanghai Medical College of Fudan University · CNShanghai Public Health Clinical Center · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of enteroviruses engineered with reporter genes serves as a valuable tool for advancing our understanding of enterovirus biology and its applications, enabling the development of effective therapeutic and preventive strategies. In this study, our initial attempts to introduce a NanoLuc luciferase (NLuc) reporter gene into recombinant enteroviruses were unsuccessful in rescuing viable progenies. We hypothesized that the size of the inserted tag might be a determining factor in the rescue of the virus. Therefore, we inserted the 11-amino-acid HiBiT tag into the genomes of enterovirus A71 (EV-A71), coxsackievirus A10 (CVA10), coxsackievirus A7 (CVA7), coxsackievirus A16 (CVA16), namely EV-A71-HiBiT, CVA16-HiBiT, CVA10-HiBiT, CVA7-HiBiT, and observed that the HiBiT-tagged viruses exhibited remarkably high rescue efficiency. Notably, the HiBiT-tagged enteroviruses displayed comparable characteristics to the wild-type viruses. A direct comparison between CVA16-NLuc and CVA16-HiBiT recombinant viruses revealed that the tiny HiBiT insertion had minimal impact on virus infectivity and replication kinetics. Moreover, these HiBiT-tagged enteroviruses demonstrated high genetic stability in different cell lines over multiple passages. In addition, the HiBiT-tagged viruses were successfully tested in antiviral drug assays, and the sensitivity of the viruses to drugs was not affected by the HiBiT tag. Ultimately, our findings provide definitive evidence that the integration of HiBiT into enteroviruses presents a universal, convenient, and invaluable method for advancing research in the realm of enterovirus virology. Furthermore, HiBiT-tagged enteroviruses exhibit great potential for diverse applications, including the development of antivirals and the elucidation of viral infection mechanisms.

Indexed as

EnterovirusGenes, ReporterVirus ReplicationCell LineGenome, ViralHumansLuciferasesVirologyLuciferasesDrug screeningEnterovirusInfectious clonesLuciferaseReporter genes

Identifiers

PMID38499155
PMCPMC11279724
OpenAlexW4392881323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.