Evidence map›Paper›PMID 20012966›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2010

Computational approaches for microRNA studies: a review.

Li Li, Jianzhen Xu, Deyin Yang, Xiaorong Tan, Hongfei Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Role of phasiRNAs in plant-pathogen interactions: molecular perspectives and bioinformatics tools.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
  5. Review
  6. Identification of Long Non-coding RNA Transcripts inIranian journal of biotechnology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. New insights into tomato microRNAs.Scientific reports · 2018
    Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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

5 authors.

Li LiDepartment of Medical Genetics, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Jianzhen Xu
Deyin Yang
Xiaorong Tan
Hongfei Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are one class of tiny, endogenous RNAs that can regulate messenger RNA (mRNA) expression by targeting homologous sequences in mRNAs. Their aberrant expressions have been observed in many cancers and several miRNAs have been convincingly shown to play important roles in carcinogenesis. Since the discovery of this small regulator, computational methods have been indispensable tools in miRNA gene finding and functional studies. In this review we first briefly outline the biological findings of miRNA genes, such as genomic feature, biogenesis, gene structure, and functional mechanism. We then discuss in detail the three main aspects of miRNA computational studies: miRNA gene finding, miRNA target prediction, and regulation of miRNA genes. Finally, we provide perspectives on some emerging issues, including combinatorial regulation by miRNAs and functional binding sites beyond the 3'-untranslated region (3'UTR) of target mRNAs. Available online resources for miRNA computational studies are also provided.

Indexed as

3' Untranslated RegionsAnimalsArtificial IntelligenceBinding SitesComputational BiologyGene Regulatory NetworksGenomeHumansMicroRNAsTranscription Factors3' Untranslated RegionsMicroRNAsTranscription Factors

Identifiers

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.