Evidence map›Paper›PMID 18549828›Full record

ReviewBiochimica et biophysica acta2008

The roles of microRNAs in mammalian virus infection.

Ralph Grassmann, Kuan-Teh Jeang

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
–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

69 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. MiR-147: Functions and Implications in Inflammation and Diseases.MicroRNA (Shariqah, United Arab Emirates) · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Viruses and miRNAs: More Friends than Foes.Frontiers in microbiology · 2017
    Review
  17. Article
  18. Review
  19. Article
  20. Article

9 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

2 authors.

Ralph GrassmannInstitute of Clinical and Molecular Virology, University of Erlangen-Nürnberg, Schlossgarten 4, D-91054 Erlangen, Germany.
Kuan-Teh Jeang

Funding

Mechanisms of Cellular Transformation by HTLV-1ZIAAI001023 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI JEANG, KUAN-TEH · 2009 to 2013
$4.2M
MOLECULAR MECHANISMS OF HUMAN RETROVIRUS TRANS-REGULATORY PROTEINSZ01AI000547 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI JEANG, KUAN-TEH · 1989 to 2008
$2.8M
Intramural NIH HHS Z01 AI000547
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression that are important for the control of a multitude of critical processes in mammalian cells. Increasing evidence supports that miRNAs also have important functions in viral replication and may be used by host cells to control viral infection. Expression of miRNAs has been reported for various groups of viruses including herpesviruses, small DNA viruses and retroviruses. The recent identification of target genes regulated by some of these viral miRNAs suggests that they may function in the control of lytic and latent viral replication, in the limitation of antiviral responses, in the inhibition of apoptosis, and in the stimulation of cellular growth. In this review, we summarize in brief recent findings on the antiviral activities of cellular miRNAs and the viral counter-responses to the cell's RNAi restriction.

Indexed as

AnimalsHumansMammalsMicroRNAsRNA, ViralVirus DiseasesMicroRNAsRNA, Viral

Identifiers

PMID18549828
PMCPMC2641032

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.