Evidence map›Paper›PMID 25416156›Full record

ArticleBMC genomics2014

Insights into the miRNA regulations in human disease genes.

Jyotirmoy Das, Soumita Podder, Tapash Chandra Ghosh

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
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  7. Article
  8. CRISPR as a Diagnostic Tool.Biomolecules · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. MicroRNA Assisted Gene Regulation in Colorectal Cancer.International journal of molecular sciences · 2019
    Article
  14. Article
  15. Review
  16. Editorial focus: entering into the non-coding RNA era.Cellular & molecular biology letters · 2018
    Review
  17. Article
  18. Article
  19. 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

3 authors at 1 institution in 1 country.

Jyotirmoy Das
Soumita PodderBioinformatics Centre, Bose Institute, P 1/12, C,I,T, Scheme VII M, Kolkata 700 054, India. soumita@jcbose.ac.in.
Tapash Chandra Ghosh
Bose Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs are a class of short non-coding RNAs derived from either cellular or viral transcripts that act post-transcriptionally to regulate mRNA stability and translation. In recent days, increasing numbers of miRNAs have been shown to be involved in the development and progression of a variety of diseases. We, therefore, intend to enumerate miRNA targets in several known disease classes to explore the degree of miRNA regulations on them which is unexplored till date.

resultsHere, we noticed that miRNA hits in cancer genes are remarkably higher than other diseases in human. Our observation suggests that UTRs and the transcript length of cancer related genes have a significant contribution in higher susceptibility to miRNA regulation. Moreover, gene duplication, mRNA stability, AREScores and evolutionary rate were likely to have implications for more miRNA targeting on cancer genes. Consequently, the regression analysis have confirmed that the AREScores plays most important role in detecting miRNA targets on disease genes. Interestingly, we observed that epigenetic modifications like CpG methylation and histone modification are less effective than miRNA regulations in controlling the gene expression of cancer genes.

conclusionsThe intrinsic properties of cancer genes studied here, for higher miRNA targeting will enhance the knowledge on cancer gene regulation.

Indexed as

Gene Expression RegulationGenetic Association StudiesComputational BiologyCpG IslandsDatabases, GeneticEpigenesis, GeneticGenomicsHistonesHumansMicroRNAsNeoplasmsRNA InterferenceRNA, MessengerHistonesMicroRNAsRNA, Messenger

Identifiers

PMID25416156
PMCPMC4256923
OpenAlexW1972848773

What OpenQuestion holds

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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.