Evidence map›Paper›PMID 19095692›Full record

ReviewNucleic acids research2009

Cellular versus viral microRNAs in host-virus interaction.

Zhumur Ghosh, Bibekanand Mallick, Jayprokas Chakrabarti

Open access · goldAbstract readReview
In one paragraph

Review in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

91 citing papers in PubMed, 211 citations in OpenAlex.

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  11. miRNAs: The Key Regulator of COVID-19 Disease.International journal of cell biology · 2022
    Review
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31 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

3 authors at 1 institution in 1 country.

Zhumur GhoshComputational Biology Group, Indian Association for the Cultivation of Science, Jadavpur, Calcutta 700 032, India. ghosh.jhumur@gmail.com
Bibekanand Mallick
Jayprokas Chakrabarti
Indian Association for the Cultivation of Science · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) mark a new paradigm of RNA-directed gene expression regulation in a wide spectrum of biological systems. These small non-coding RNAs can contribute to the repertoire of host-pathogen interactions during viral infection. This interplay has important consequences, both for the virus and the host. There have been reported evidences of host-cellular miRNAs modulating the expression of various viral genes, thereby playing a pivotal role in the host-pathogen interaction network. In the hide-and-seek game between the pathogens and the infected host, viruses have evolved highly sophisticated gene-silencing mechanisms to evade host-immune response. Recent reports indicate that virus too encode miRNAs that protect them against cellular antiviral response. Furthermore, they may exploit the cellular miRNA pathway to their own advantage. Nevertheless, our increasing knowledge of the host-virus interaction at the molecular level should lead us toward possible explanations to viral tropism, latency and oncogenesis along with the development of an effective, durable and nontoxic antiviral therapy. Here, we summarize the recent updates on miRNA-induced gene-silencing mechanism, modulating host-virus interactions with a glimpse of the miRNA-based antiviral therapy for near future.

Indexed as

Gene Expression Regulation, ViralRNA InterferenceEvolution, MolecularHost-Pathogen InteractionsHumansMicroRNAsRNA, ViralVirus DiseasesVirus Physiological PhenomenaMicroRNAsRNA, Viral

Identifiers

PMID19095692
PMCPMC2651794
OpenAlexW2060468039

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.