Evidence map›Paper›PMID 37367372›Full record

ArticleInsects2023

A Comparative Analysis of RNAi Trigger Uptake and Distribution in Mosquito Vectors of Disease.

Paul M Airs, Katherine E Kudrna, Bailey Lubinski, Yashdeep Phanse, Lyric C Bartholomay

Open access · goldAbstract read
In one paragraph

Article in Insects, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Challenges of Robust RNAi-Mediated Gene Silencing inInternational journal of molecular sciences · 2024
    Article
  5. Article
  6. Intrinsic factors driving mosquito vector competence and viral evolution: a review.Frontiers in cellular and infection microbiology · 2023
    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

5 authors at 1 institution in 1 country.

Paul M AirsDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-0582-006X
Katherine E KudrnaDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA.
Bailey LubinskiDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA.
Yashdeep PhanseDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA.
Lyric C BartholomayDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA.
University of Wisconsin–Madison · US

Funding

Foundation for the National Institutes of Health Vector-Based Transmission of Control: Discovery Research (VCTR) program
6 · The paper itself

Abstract

In mosquitoes, the utilization of RNAi for functional genetics is widespread, usually mediated through introduced double-stranded RNAs (dsRNAs) with sequence identity to a gene of interest. However, RNAi in mosquitoes is often hampered by inconsistencies in target gene knockdown between experimental setups. While the core RNAi pathway is known to function in most mosquito strains, the uptake and biodistribution of dsRNAs across different mosquito species and life stages have yet to be extensively explored as a source of variation in RNAi experiments. To better understand mosquito-RNAi dynamics, the biodistribution of a dsRNA to a heterologous gene, LacZ (iLacZ), was tracked following various routes of exposure in the larval and adult stages of

Indexed as

AedesAnophelesbiodistributionCulexdsRNAper osRNA interference

Identifiers

PMID37367372
PMCPMC10299510
OpenAlexW4380788699

What Socratic 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 Socratic graph.