Evidence map›Paper›PMID 25707426›Full record

ArticleImmunology2015

MicroRNA expression profiling of human blood monocyte subsets highlights functional differences.

Truong-Minh Dang, Wing-Cheong Wong, Siew-Min Ong, Peng Li, Josephine Lum, Jinmiao Chen, Michael Poidinger, Francesca Zolezzi, Siew-Cheng Wong

Open access · bronzeAbstract read
In one paragraph

Article in Immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 22% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Circulating MicroRNAs and Treatment Response in Childhood Asthma.American journal of respiratory and critical care medicine · 2020
    Trial
  4. Review
  5. Transcriptomic Context ofBiomedicines · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. MicroRNA delivery through nanoparticles.Journal of controlled release : official journal of the Controlled Release Society · 2019
    Review
  16. Article
  17. Review
  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

9 authors at 2 institutions in 1 country.

Truong-Minh DangSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Wing-Cheong WongBioinformatic Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Siew-Min OngSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Peng LiSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Josephine LumSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Jinmiao ChenSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Michael PoidingerSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Francesca ZolezziSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Siew-Cheng WongSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Singapore Immunology Network · SGAgency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within human blood there are two subsets of monocytes that can be identified by differential expression of CD16. Although numerous phenotypic and functional differences between the subsets have been described, little is known of the mechanisms underlying the distinctive properties of the two subsets. MicroRNAs (miRNAs) are small non-coding RNAs that can regulate gene expression through promoting mRNA degradation or repressing translation, leading to alterations in cellular processes. Their potential influence on the functions of monocyte subsets has not been investigated. In this study, we employed microarray analysis to define the miRNA expression profile of human monocyte subsets. We identified 66 miRNAs that were differentially expressed (DE) between CD16(+) and CD16(-) monocytes. Gene ontology analysis revealed that the predicted targets of the DE miRNAs were predominantly associated with cell death and cellular movement. We validated the functional impacts of selected DE miRNAs in CD16(-) monocytes, over-expression of miR-432 significantly increases apoptosis, and inhibiting miR-19a significantly reduces cell motility. Furthermore, we found that miR-345, another DE miRNA directly targets the transcription factor RelA in monocytes, which resulted in the differential expression of RelA in monocyte subsets. This implicates miR-345 indirect regulation of many genes downstream of RelA, including important inflammatory mediators. Together, our data show that DE miRNAs could contribute substantially to regulating the functions of human blood monocytes.

Indexed as

Gene Expression Profiling3' Untranslated RegionsApoptosisCell MovementCells, CulturedHEK293 CellsHumansMicroRNAsMonocytesOligonucleotide Array Sequence AnalysisReceptors, IgGReverse Transcriptase Polymerase Chain ReactionTranscription Factor RelA3' Untranslated RegionsMicroRNAsMIRN19A microRNA, humanMIRN345 microRNA, humanMIRN432 microRNA, humanReceptors, IgGRELA protein, humanTranscription Factor RelAapoptosismicroRNAmigrationmonocyte subset

Identifiers

PMID25707426
PMCPMC4479539
OpenAlexW2059975331

What Socratic 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 Socratic graph.