Evidence map›Paper›PMID 27119502›Full record

ArticleOncotarget2016

Identification of the microRNA networks contributing to macrophage differentiation and function.

Hong Zhou, Jie Zhang, Fiona Eyers, Yang Xiang, Cristan Herbert, Hock L Tay, Paul S Foster, Ming Yang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. MicroRNAs in Macrophages: Regulators of Activation and Function.Journal of immunology (Baltimore, Md. : 1950) · 2023
    Review
  4. Review
  5. Cardiac Metabolism and MiRNA Interference.International journal of molecular sciences · 2022
    Review
  6. Article
  7. MicroRNAs: Harbingers and shapers of periodontal inflammation.Seminars in cell & developmental biology · 2022
    Review
  8. Review
  9. Roles of MicroRNAs in Glucose and Lipid Metabolism in the Heart.Frontiers in cardiovascular medicine · 2021
    Review
  10. Review
  11. Article
  12. Review
  13. MicroRNAs and immunity in periodontal health and disease.International journal of oral science · 2018
    Review
  14. Modeling TImmunological reviews · 2017
    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

8 authors at 4 institutions in 2 countries.

Hong ZhouDepartment of Respiratory Medicine, The Second Hospital, Jilin University, ChangChun, Jilin, People's Republic of China.
Jie ZhangDepartment of Respiratory Medicine, The Second Hospital, Jilin University, ChangChun, Jilin, People's Republic of China.
Fiona EyersPriority Research Centre for Asthma and Respiratory Diseases, School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, The University of Newcastle and Hunter Medical Research Institute, Callaghan, NSW, Australia.
Yang XiangDepartment of Physiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China.
Cristan HerbertInflammation and Infection Research Centre, School of Medical Sciences, Sydney, UNSW, Australia.
Hock L TayPriority Research Centre for Asthma and Respiratory Diseases, School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, The University of Newcastle and Hunter Medical Research Institute, Callaghan, NSW, Australia.
Paul S FosterPriority Research Centre for Asthma and Respiratory Diseases, School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, The University of Newcastle and Hunter Medical Research Institute, Callaghan, NSW, Australia.
Ming YangPriority Research Centre for Asthma and Respiratory Diseases, School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, The University of Newcastle and Hunter Medical Research Institute, Callaghan, NSW, Australia.
Hunter Medical Research Institute · AUCentral South University · CNSecond Affiliated Hospital of Jilin University · CNUNSW Sydney · AU

Funding

Medical Research Council MR/K006584/1
6 · The paper itself

Abstract

Limited evidence is available about the specific miRNA networks that regulate differentiation of specific immune cells. In this study, we characterized miRNA expression and associated alterations in expression with putative mRNA targets that are critical during differentiation of macrophages. In an effort to map the dynamic changes in the bone marrow (BM), we profiled whole BM cultures during differentiation into macrophages. We identified 112 miRNAs with expression patterns that were differentially regulated 5-fold or more during BMDM development. With TargetScan and MeSH databases, we identified 1267 transcripts involved in 30 canonical pathways linked to macrophage biology as potentially regulated by these specific 112 miRNAs. Furthermore, by employing miRanda and Ingenuity Pathways Analysis (IPA) analysis systems, we identified 18 miRNAs that are temporally linked to the expression of CSF1R, CD36, MSR1 and SCARB1; 7 miRNAs linked to the regulation of the transcription factors RUNX1 and PU.1, and 14 miRNAs target the nuclear receptor PPARα and PPARγ. This novel information provides an important reference resource for further study of the functional links between miRNAs and their target mRNAs for the regulation of differentiation and function of macrophages.

Indexed as

AnimalsCell DifferentiationGene Regulatory NetworksMacrophagesMiceMice, Inbred BALB CMicroRNAsMicroRNAsdifferentiationImmune responseImmunityImmunology and Microbiology SectionmacrophagemicroRNAtranscriptional regulation

Identifiers

PMID27119502
PMCPMC5045358
OpenAlexW2337759299

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.