Evidence map›Paper›PMID 20079866›Full record

ReviewSeminars in cell & developmental biology2010

Computational methods to identify miRNA targets.

Molly Hammell

Abstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. microRNAs function in CD8+T cell biology.Journal of leukocyte biology · 2015
    Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Advances in the techniques for the prediction of microRNA targets.International journal of molecular sciences · 2013
    Review
  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

1 author.

Molly HammellProgram in Molecular Medicine, University of Massachusetts Medical School, 373 Plantation Street, Biotech II, Suite 306, Worcester, MA 01605, USA. molly.hammell@umassmed.edu

Funding

A systematic analysis of mir-34 function in C. elegansF32GM087039 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GALE HAMMELL, MOLLY · 2009 to 2010
$80k
NIGMS NIH HHS F32 GM087039NIGMS NIH HHS F32GM087039
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are short RNA molecules that regulate the post-transcriptional expression of their target genes. This regulation may take the form of stable translational or degradation of the target transcript, although the mechanisms governing the outcome of miRNA-mediated regulation remain largely unknown. While it is becoming clear that miRNAs are core components of gene regulatory networks, elucidating precise roles for each miRNA within these networks will require an accurate means of identifying target genes and assessing the impact of miRNAs on individual targets. Numerous computational methods for predicting targets are currently available. These methods vary widely in their emphasis, accuracy, and ease of use for researchers. This review will focus on a comparison of the available computational methods in animals, with an emphasis on approaches that are informed by experimental analysis of microRNA:target complexes.

Indexed as

AnimalsComputational BiologyHumansMicroRNAsRNA-Binding ProteinsRNA-Induced Silencing ComplexMicroRNAsRNA-Binding ProteinsRNA-Induced Silencing Complex

Identifiers

PMID20079866
PMCPMC2891825

What OpenQuestion holds

Textmetadata
LicenceTDM
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.