Evidence map›Paper›PMID 35805093›Full record

ArticleCells2022

Transcriptome Analysis of Retinoic Acid-Inducible Gene I Overexpression Reveals the Potential Genes for Autophagy-Related Negative Regulation.

Shaotang Ye, Chen Tan, Xiaoyun Yang, Ji Wang, Qi Li, Liang Xu, Zhen Wang, Jianwei Mao, Jingyu Wang, Kui Cheng and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. 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
0.5field-weighted citation impact, top 39% 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, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. International journal of molecular sciences · 2023
    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 3 institutions in 2 countries.

Shaotang YeCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Chen TanLanzhou Veterinary Research Institute, Chinese Academy of Agricultural Science, Lanzhou 730046, China.
Xiaoyun YangZhaoqing Institute of Biotechnology Co., Ltd., Zhaoqing 526000, China.
Ji WangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Qi LiCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Liang XuCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Zhen WangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Jianwei MaoCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Jingyu WangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Kui ChengCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Aolei ChenCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Pei ZhouCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0003-2006-9163
Shoujun LiCollege of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
South China Agricultural University · CNUniversity of Liège · BEZhaoqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoic acid-inducible gene I (RIG-I) serves as an essential viral RNA sensor for innate immune. The activation of the RIG-I-like receptors (RLRs) pathway triggers many regulations for the outcome of type I interferon, including ubiquitination, dephosphorylation, ISGylation, and autophagy. However, the autophagy-related regulation of RIG-I is still not fully understood. To investigate the potentially unknown genes related to autophagy-related regulation of RIG-I, we firstly confirm the induction of autophagy derived by overexpression of RIG-I. Furthermore, the autophagy inducer and inhibitor drugs were used in different assays. The results showed autophagy could control the activation of RLRs pathway and expression of exogenous RIG-I. In addition, we carried out the transcriptome analysis of overexpression of RIG-I in vitro. Differentially expressed genes (DEGs) in GO and KEGG signaling pathways enrichment provided a newly complex network. Finally, the validation of qPCR indicated that the DEGs PTPN22, PRKN, OTUD7B, and SIRT2 were correlated to the negative regulation of excessive expression of RIG-I. Taken together, our study contributed new insights into a more comprehensive understanding of the regulation of excessive expression of RIG-I. It provided the potential candidate genes for autophagy-related negative regulation for further investigation.

Indexed as

Gene Expression ProfilingInterferon Type IAutophagySignal TransductionTretinoinInterferon Type ITretinoinautophagynegative regulationoverexpressionRIG-Itranscriptome analysis

Identifiers

PMID35805093
PMCPMC9265583
OpenAlexW4283390903

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.