Evidence map›Paper›PMID 31865850›Full record

ArticleVirulence2020

Determination of antiviral action of long non-coding RNA loc107051710 during infectious bursal disease virus infection due to enhancement of interferon production.

Xuewei Huang, Yigang Xu, Qingyu Lin, Weilong Guo, Dongfang Zhao, Chunmei Wang, Li Wang, Han Zhou, Yanping Jiang, Wen Cui and 4 more

Open access · goldAbstract read
In one paragraph

Article in Virulence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
8.1field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  19. LncRNAs in the Type I Interferon Antiviral Response.International journal of molecular sciences · 2020
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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

14 authors at 2 institutions in 1 country.

Xuewei HuangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Yigang XuCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.ORCID 0000-0001-7085-7227
Qingyu LinCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Weilong GuoCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Dongfang ZhaoCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Chunmei WangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Li WangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Han ZhouCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Yanping JiangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Wen CuiCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Xinyuan QiaoCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Yijing LiCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.
Guangpeng MaAgricultural High Technology Department, China Rural Technology Development Center, Beijing China.
Lijie TangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, P.R. China.ORCID 0000-0002-2423-0076
Northeast Agricultural University · CNChina Rural Technology Development Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functions and profiles of lncRNAs during infectious bursal disease virus (IBDV) infection have not been determined, yet. The objectives of this study were to determine the antiviral action of loc107051710 lncRNA during IBDV infection by investigating the relationship between loc107051710 and IRF8, Type I IFN, STATs, and ISGs. DF-1 cells were either left untreated as non-infected controls (n = 1) or infected with IBDV (n = 3). RNA sequencing was applied for analysis of mRNAs and lncRNAs expression. Differentially expressed genes were verified by RT-qPCR. Then identification, of 230 significantly different expressed genes (182 mRNAs and 48 lncRNA) by pairwise comparison of the infected and control groups, was carried out. The functions of differentially expressed lncRNAs were investigated by selection of lncRNAs and mRNAs significantly enriched in the aforementioned biological processes and signaling pathways for construction of lncRNA-mRNA co-expression networks. The techniques of gene ontology and Kyoto Encyclopedia of Genes and Genomes pathways were applied. It was suggested that these differentially expressed genes were involved in the interaction between the host and IBDV. Loc107051710 was found to have potential antiviral effects. RT-qPCR and western blot were applied and revealed that loc107051710 was required for induction of IRF8, type I IFN, STAT, and ISG expression, and its knockdown promoted IBDV replication. By fluorescence in situ hybridization, it was found that loc107051710 was translocated from the nucleus to the cytoplasm after infection with IBDV. Overall, loc107051710 promoted the production of IFN-α and IFN-β by regulating IRF8, thereby promoting the antiviral activity of ISGs.

Indexed as

AnimalsAntiviral AgentsBiological PhenomenaBirnaviridae InfectionsCell LineChickensFibroblastsGene ExpressionInfectious bursal disease virusIn Situ Hybridization, FluorescenceInterferon-betaInterferonsPoultry DiseasesProtein Interaction MapsRNA, Long NoncodingRNA, MessengerAntiviral AgentsInterferon-betaInterferonsRNA, Long NoncodingRNA, MessengerInfectious bursal disease virusinterferon-stimulated geneIRF8lncRNAloc107051710type I interferon

Identifiers

PMID31865850
PMCPMC6961729
OpenAlexW2995776073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.