Evidence map›Paper›PMID 21857109›Full record

ArticleJournal of biosciences2011

The regulatory epicenter of miRNAs.

Ashwani Jha, Mrigaya Mehra, Ravi Shankar

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of biosciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Pancreatic Cancer Cells Induce MicroRNA Deregulation in Platelets.International journal of molecular sciences · 2022
    Article
  2. Article
  3. Article
  4. Risk factors and biomarkers of age-related macular degeneration.Progress in retinal and eye research · 2016
    Review
  5. Article
  6. Article
  7. MiRNAting control of DNA methylation.Journal of biosciences · 2014
    Article
  8. microRNA Regulation and Its Consequences in Cancer.Current pathobiology reports · 2013
    Article
  9. Article
  10. Article
  11. 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.

Ashwani JhaStudio of Computational Biology and Bioinformatics, Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology, Council of Scientific and Industrial Research, Palampur 176061, HP, India.
Mrigaya Mehra
Ravi Shankar
Institute of Himalayan Bioresource Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miRNAs are small non-coding RNAs with average length of ~21 bp. miRNA formation seems to be dependent upon multiple factors besides Drosha and Dicer, in a tissue/stage-specific manner, with interplay of several specific binding factors. In the present study, we have investigated transcription factor binding sites in and around the genomic sequences of precursor miRNAs and RNA-binding protein (RBP) sites in miRNA precursor sequences, analysed and tested in comprehensive manner. Here, we report that miRNA precursor regions are positionally enriched for binding of transcription factors as well as RBPs around the 3' end of mature miRNA region in 5' arm. The pattern and distribution of such regulatory sites appears to be a characteristic of precursor miRNA sequences when compared with non-miRNA sequences as negative dataset and tested statistically.When compared with 1 kb upstreamregions, a sudden sharp peak for binding sites arises in the enriched zone near the mature miRNA region. An expression-data-based correlation analysis was performed between such miRNAs and their corresponding transcription factors and RBPs for this region. Some specific groups of binding factors and associated miRNAs were identified. We also identified some of the overrepresented transcription factors and associated miRNAs with high expression correlation values which could be useful in cancer-related studies. The highly correlated groups were found to host experimentally validated composite regulatory modules, in which Lmo2-GATA1 appeared as the predominant one. For many of RBP-miRNAs associations, coexpression similarity was also evident among the associated miRNA common to given RBPs, supporting the Regulon model, suggesting a common role and common control of these miRNAs by the associated RBPs. Based on our findings, we propose that the observed characteristic distribution of regulatory sites in precursor miRNA sequence regions could be critical inmiRNA transcription, processing, stability and formation and are important for therapeutic studies. Our findings also support the recently proposed theory of self-sufficient mode of transcription by miRNAs, which states that miRNA transcription can be carried out in host-independent mode too.

Indexed as

MicroRNAsRNA PrecursorsAdaptor Proteins, Signal TransducingBinding SitesDatabases, GeneticDEAD-box RNA HelicasesGATA1 Transcription FactorGenome, HumanGenomicsHumansLIM Domain ProteinsNucleic Acid ConformationProto-Oncogene ProteinsRibonuclease IIIRNA-Binding ProteinsRNA StabilityAdaptor Proteins, Signal TransducingDEAD-box RNA HelicasesDICER1 protein, humanDROSHA protein, humanGATA1 protein, humanGATA1 Transcription FactorLIM Domain ProteinsLMO2 protein, humanMicroRNAsProto-Oncogene ProteinsRibonuclease IIIRNA-Binding ProteinsRNA PrecursorsTranscription Factors

Identifiers

PMID21857109
OpenAlexW2043677234

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.