Evidence map›Paper›PMID 34950131›Full record

ArticleFrontiers in immunology2021

miR-10c Facilitates White Spot Syndrome Virus Infection by Targeting Toll3 in

Hongliang Zuo, Xinxin Liu, Mengting Luo, Linwei Yang, Zhiming Zhu, Shaoping Weng, Jianguo He, Xiaopeng Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. miR-10c TargetsInternational journal of molecular sciences · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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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

8 authors at 3 institutions in 1 country.

Hongliang ZuoState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Xinxin LiuState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Mengting LuoState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Linwei YangState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Zhiming ZhuSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
Shaoping WengState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Jianguo HeState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Xiaopeng XuState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)Sun Yat-sen University · CNSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptors (TLRs) are canonical cell membrane receptors functioning to recognize pathogens and transduce signals to activate immune responses. It has been known that Toll3 in Pacific white shrimp

Indexed as

AnimalsArthropod ProteinsGene Expression RegulationImmunity, InnateInterferon Regulatory FactorsInterferonsMicroRNAsPenaeidaeReal-Time Polymerase Chain ReactionSignal TransductionToll-Like ReceptorsWhite spot syndrome virus 1Arthropod ProteinsInterferon Regulatory FactorsInterferonsMicroRNAsToll-Like Receptorsantiviral immunityLitopenaeus vannemeimicroRNAregulatory factorToll-like receptor

Identifiers

PMID34950131
PMCPMC8688535
OpenAlexW4200548610

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.