Evidence map›Paper›PMID 22836911›Full record

ReviewLeukemia2013

The hunting of targets: challenge in miRNA research.

F Akbari Moqadam, R Pieters, M L den Boer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Leukemia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Ferroptosis inhibitors: past, present and future.Frontiers in pharmacology · 2024
    Review
  4. Article
  5. The role of miRNAs in Behçet's disease.Frontiers in immunology · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Non-targeting control for MISSION shRNA library silencesMolecular therapy. Nucleic acids · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. MicroRNA: Another Pharmacological Avenue for Colorectal Cancer?Frontiers in cell and developmental biology · 2020
    Review
  16. Article
  17. Article
  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

3 authors.

F Akbari MoqadamDepartment of Pediatric Oncology and Hematology, Erasmus MC-Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands.
R Pieters
M L den Boer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small noncoding RNAs that control the expression of around 60% of the human protein-coding genes. In the past decade, deregulation of miRNAs (by expression and/or function) has been associated with the pathogenesis, progression and prognosis of different diseases, including leukemia. The number of discovered genes encoding miRNAs has risen exponentially in this period, but the numbers of miRNA-target genes discovered and validated lag far behind. Scientists have gained more in-depth knowledge of the basic mechanism of action of miRNAs, but the main challenge still remaining is the identification of direct targets of these important 'micro-players', to understand how they fine-tune so many biological processes in both healthy and diseased tissue. Many technologies have been developed in the past few years, some with more potential than others, but all with their own pros and cons. Here, we review the most common and most potent computational and experimental approaches for miRNA-target gene discovery and discuss how the hunting of targets is challenging but possible by taking the experimental limitations in consideration and choosing the correct cellular context for identifying relevant target genes.

Indexed as

Gene Expression RegulationAnimalsComputational BiologyHumansMicroRNAsRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID22836911

What OpenQuestion holds

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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.