Evidence map›Paper›PMID 21826573›Full record

ReviewPharmaceutical research2011

Antiviral RNAi: translating science towards therapeutic success.

Priya S Shah, David V Schaffer

Abstract readReview
In one paragraph

Review in Pharmaceutical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. A review on current status of antiviral siRNA.Reviews in medical virology · 2018
    Review
  6. Article
  7. Article
  8. Article
  9. Regulation of microRNA biogenesis and turnover by animals and their viruses.Cellular and molecular life sciences : CMLS · 2013
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

2 authors.

Priya S ShahDepartment of Chemical and Biolmolecular Engineering, University of California, Berkeley, California 94720, USA.
David V Schaffer

Funding

Stochastic Gene Expression Effects in a Model RetrovirusR01GM073058 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI ARKIN, ADAM P, SCHAFFER, DAVID V · 2005 to 2014
$2.3M
NIGMS NIH HHS R01 GM073058
6 · The paper itself

Abstract

Viruses continuously evolve to contend with an ever-changing environment that involves transmission between hosts and sometimes species, immune responses, and in some cases therapeutic interventions. Given the high mutation rate of viruses relative to the timescales of host evolution and drug development, novel drug classes that are readily screened and translated to the clinic are needed. RNA interference (RNAi)-a natural mechanism for specific degradation of target RNAs that is conserved from plants to invertebrates and vertebrates-can potentially be harnessed to yield therapies with extensive specificity, ease of design, and broad application. In this review, we discuss basic mechanisms of action and therapeutic applications of RNAi, including design considerations and areas for future development in the field.

Indexed as

RNA InterferenceAnimalsGenetic TherapyHumansRNA, Small InterferingRNA, ViralVirus DiseasesVirusesRNA, Small InterferingRNA, Viral

Identifiers

PMID21826573
PMCPMC5012899

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.