Evidence map›Paper›PMID 32339989›Full record

ArticleiScience2020

Upstream ORFs Prevent MAVS Spontaneous Aggregation and Regulate Innate Immune Homeostasis.

Yuheng Shi, Jing Wu, Tiansheng Zhong, Wenting Zhu, Guolan She, Hao Tang, Wei Du, Bang-Ce Ye, Nan Qi

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Induction of the ISR by AB5 subtilase cytotoxin drives type-I IFN expression in pDCs via STING activation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
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

9 authors at 3 institutions in 1 country.

Yuheng ShiInstitute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China; Institutes of Biomedical Sciences, Fudan University, Shanghai 20032, China.
Jing WuInstitute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Tiansheng ZhongInstitute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Wenting ZhuMaterials Interfaces Center Institute of Advanced Materials Science and Engineering Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Guolan SheInstitute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Hao TangInstitute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Wei DuInstitute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Bang-Ce YeInstitute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Nan QiInstitute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China. Electronic address: qinan@zjut.edu.cn.
Zhejiang University of Technology · CNChinese Academy of Sciences · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The monomer-to-filament transition of MAVS is essential for the RIG-I/MDA5-mediated antiviral signaling. In quiescent cells, monomeric MAVS is under strict regulation for preventing its spontaneous aggregation, which would result in dysregulated interferon (IFN-α/β) production and autoimmune diseases like systemic lupus erythematosus. However, the detailed mechanism by which MAVS is kept from spontaneous aggregation remains largely unclear. Here, we show that upstream open reading frames (uORFs) within the MAVS transcripts exert a post-transcriptional regulation for preventing MAVS spontaneous aggregation and auto-activation. Mechanistically, we demonstrate that uORFs are cis-acting elements initiating leaky ribosome scanning of the downstream ORF codons, thereby repressing the full-length MAVS translation. We further uncover that endogenous MAVS generated from the uORF-deprived transcript spontaneously aggregates, triggering the Nix-mediated mitophagic clearance of damaged mitochondria and aggregated MAVS. Our findings reveal the uORF-mediated quantity and quality control of MAVS, which prevents aberrant protein aggregation and maintains innate immune homeostasis.

Indexed as

Biological SciencesCell BiologyImmunologyMolecular Biology

Identifiers

PMID32339989
PMCPMC7190755
OpenAlexW3015596404

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.