Evidence map›Paper›PMID 24705266›Full record

ArticleGenes2013

Gene silencing in crustaceans: from basic research to biotechnologies.

Amir Sagi, Rivka Manor, Tomer Ventura

Abstract read
In one paragraph

Article in Genes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Monosex Populations of the Giant Freshwater PrawnInternational journal of molecular sciences · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Diverse Manifestations of Regeneration and Why We Need to Study Them.Cold Spring Harbor perspectives in biology · 2021
    Article
  12. Review
  13. Article
  14. Scientists' warning on invasive alien species.Biological reviews of the Cambridge Philosophical Society · 2020
    Article
  15. Article
  16. Article
  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.

Amir SagiDepartment of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University, P.O. Box 653, Beer Sheva 84105, Israel. sagia@bgu.ac.il.
Rivka ManorDepartment of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University, P.O. Box 653, Beer Sheva 84105, Israel. mnor@bgu.ac.il.
Tomer VenturaFaculty of Science, Health, Education and Engineering, GeneCology Research Centre, University of the Sunshine Coast, 4 Locked Bag, Maroochydore, Queensland 4558, Australia. tventura@usc.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene silencing through RNA interference (RNAi) is gaining momentum for crustaceans, both in basic research and for commercial development. RNAi has proven instrumental in a growing number of crustacean species, revealing the functionality of novel crustacean genes essential among others to development, growth, metabolism and reproduction. Extensive studies have also been done on silencing of viral transcripts in crustaceans, contributing to the understanding of the defense mechanisms of crustaceans and strategies employed by viruses to overcome these. The first practical use of gene silencing in aquaculture industry has been recently achieved, through manipulation of a crustacean insulin-like androgenic gland hormone. This review summarizes the advancements in the use of RNAi in crustaceans, and assesses the advantages of this method, as well as the current hurdles that hinder its large-scale practice.

Identifiers

PMID24705266
PMCPMC3927571

What OpenQuestion holds

Textmetadata
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.