Evidence map›Paper›PMID 28890541›Full record

ArticleCellular & molecular immunology2018

MicroRNA in vivo precipitation identifies miR-151-3p as a computational unpredictable miRNA to target Stat3 and inhibits innate IL-6 production.

Xiang Liu, Xiaoping Su, Sheng Xu, Huamin Wang, Dan Han, Jiangxue Li, Mingyan Huang, Xuetao Cao

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Cellular & molecular immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

32 citing papers in PubMed, 57 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. miR-151 Affects Low-Temperature Tolerance ofFrontiers in cell and developmental biology · 2021
    Article
  19. Article
  20. Enforced expression of miR-92b bluntsInternational journal of biological sciences · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Xiang LiuNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai 200433, China.
Xiaoping SuNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai 200433, China.
Sheng XuNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai 200433, China.
Huamin WangDepartment of Immunology & Center for Immunotherapy, Institute of Basic Medical Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100005, China.
Dan HanInstitute of Immunology, Zhejiang University School of Medicine, Hangzhou 310058, China.
Jiangxue LiInstitute of Immunology, Zhejiang University School of Medicine, Hangzhou 310058, China.
Mingyan HuangNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai 200433, China.
Xuetao CaoNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai 200433, China.
Second Military Medical University · CNZhejiang University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) function as important regulators in the immune response and inflammation. Several approaches have been reported to computationally predict miRNAs and their potential targets. However, there are still many miRNA-target interactions that are unpredictable by using the current computational algorithms. We established a miRNA in vivo precipitation method (miRIP) to identify unpredictable miRNAs with definite targets in these cells. Because Stat3 is a well-known transcription factor involved in innate immunity and inflammation, we utilized the miRIP method to identify miRNAs that bind Stat3 mRNA in macrophages. Among the captured miRNAs, miR-151-3p was confirmed to interact with Stat3 mRNA 3'-UTR and downregulate the Stat3 protein levels. LPS stimulation decreased miR-151-3p expression, thereby increasing IL-6 production. Therefore, we found that miR-151-3p inhibited LPS-induced IL-6 production by targeting Stat3. These data further confirmed miRIP as an efficient method to identify unpredictable miRNAs and explore miRNAs-mediated regulation in innate immunity and inflammation.

Indexed as

Immunity, InnateAnimalsDown-RegulationInterleukin-6LipopolysaccharidesMacrophagesMaleMice, Inbred C57BLMicroRNAsRNA, MessengerSTAT3 Transcription FactorUp-RegulationInterleukin-6LipopolysaccharidesMicroRNAsMIRN151 microRNA, mouseRNA, MessengerSTAT3 Transcription Factor

Identifiers

PMID28890541
PMCPMC5811685
OpenAlexW2753982017

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.