Evidence map›Paper›PMID 26363073›Full record

ArticleThe Journal of biological chemistry2015

Encephalomyocarditis Virus 3C Protease Relieves TRAF Family Member-associated NF-κB Activator (TANK) Inhibitory Effect on TRAF6-mediated NF-κB Signaling through Cleavage of TANK.

Li Huang, Qinfang Liu, Lijie Zhang, Quan Zhang, Liang Hu, Changyao Li, Shengnan Wang, Jiangnan Li, Yuanfeng Zhang, Huibin Yu and 10 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Novel insights into rosacea's role in cancer risk: A Mendelian randomization approach.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Porcine Sapelovirus 3CFrontiers in cellular and infection microbiology · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. TANK Promotes Pressure Overload Induced Cardiac HypertrophyFrontiers in cardiovascular medicine · 2021
    Article
  18. Article
  19. Article
  20. 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

20 authors at 5 institutions in 1 country.

Li HuangFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Qinfang LiuFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Lijie ZhangFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Quan ZhangFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001, the College of Life Sciences, Yangtze University, Jingzhou 434100.
Liang HuFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Changyao LiFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Shengnan WangFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Jiangnan LiFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Yuanfeng ZhangFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Huibin YuFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Yan WangFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001, the Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming 650093, and.
Zhaohua Zhongthe Department of Microbiology, Harbin Medical University, Harbin 150081, China.
Tao Xiongthe College of Life Sciences, Yangtze University, Jingzhou 434100.
Xueshan Xiathe Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming 650093, and.
Xiaojun WangFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Li YuFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Guohua DengFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Xuehui CaiFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001.
Shangjin CuiFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001, cuishangjin@caas.cn.
Changjiang WengFrom the State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150001, wengcj@hvri.ac.cn.
Chinese Academy of Agricultural Sciences · CNHarbin Veterinary Research Institute · CNYangtze University · CNHarbin Medical University · CNKunming University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TRAF family member-associated NF-κB activator (TANK) is a negative regulator of canonical NF-κB signaling in the Toll-like receptor- and B-cell receptor-mediated signaling pathways. However, functions of TANK in viral infection-mediated NF-κB activation remain unclear. Here, we reported that TANK was cleaved by encephalomyocarditis virus 3C at the 197 and 291 glutamine residues, which depends on its cysteine protease activity. In addition, encephalomyocarditis virus 3C impaired the ability of TANK to inhibit TRAF6-mediated NF-κB signaling. Interestingly, we found that several viral proteases encoded by the foot and mouth disease virus, porcine reproductive and respiratory syndrome virus, and equine arteritis virus also cleaved TANK. Our results suggest that TANK is a novel target of some viral proteases, indicating that some positive RNA viruses have evolved to utilize their major proteases to regulate NF-κB activation.

Indexed as

Proteolysis3C Viral ProteasesAdaptor Proteins, Signal TransducingAmino Acid SequenceCysteine EndopeptidasesEncephalomyocarditis virusEquartevirusFoot-and-Mouth Disease VirusHEK293 CellsHumansMolecular Sequence DataNF-kappa BPorcine respiratory and reproductive syndrome virusTNF Receptor-Associated Factor 6Viral Proteins3C Viral ProteasesAdaptor Proteins, Signal TransducingCysteine EndopeptidasesNF-kappa BTANK protein, humanTNF Receptor-Associated Factor 6Viral Proteinscell signalingimmunologyNF-kappa B (NF-KB)viral proteasevirus

Identifiers

PMID26363073
PMCPMC4646013
OpenAlexW2196802541

What OpenQuestion holds

Textmetadata
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.