Evidence map›Paper›PMID 38469536›Full record

ReviewFrontiers in insect science2023

RNAi turns 25:contributions and challenges in insect science.

Subba Reddy Palli

Abstract readReview
In one paragraph

Review in Frontiers in insect science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Improving RNAi in the fall armyworm,Frontiers in insect science · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Evaluation of dsRNA produced inFrontiers in insect science · 2026
    Article
  16. Creating resistance to the whiteflyFrontiers in plant science · 2026
    Article
  17. Review
  18. Article
  19. Review
  20. Review
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

1 author.

Subba Reddy PalliDepartment of Entomology, Martin-Gatton College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, United States.

Funding

Molecular Analysis of Juvenile Hormone ActionR01GM070559 · NIGMS · UNIVERSITY OF KENTUCKY · PI PALLI, SUBBA R · 2005 to 2024
$4.1M
Molecular mode of action of Juvenile hormone analogsR21AI163561 · NIAID · UNIVERSITY OF KENTUCKY · PI PALLI, SUBBA R · 2021 to 2022
$399k
RNAi methods for Zika virus vector controlR21AI131427 · NIAID · UNIVERSITY OF KENTUCKY · PI PALLI, SUBBA R · 2017 to 2018
$385k
NIAID NIH HHS R21 AI131427NIAID NIH HHS R21 AI163561NIGMS NIH HHS R01 GM070559
6 · The paper itself

Abstract

Since its discovery in 1998, RNA interference (RNAi), a Nobel prize-winning technology, made significant contributions to advances in biology because of its ability to mediate the knockdown of specific target genes. RNAi applications in medicine and agriculture have been explored with mixed success. The past 25 years of research on RNAi resulted in advances in our understanding of the mechanisms of its action, target specificity, and differential efficiency among animals and plants. RNAi played a major role in advances in insect biology. Did RNAi technology fully meet insect pest and disease vector management expectations? This review will discuss recent advances in the mechanisms of RNAi and its contributions to insect science. The remaining challenges, including delivery to the target site, differential efficiency, potential resistance development and possible solutions for the widespread use of this technology in insect management.

Indexed as

dsRNAendosomesinsectsnanoparticlespestsRNAi

Identifiers

PMID38469536
PMCPMC10926446

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.