ReviewMethods in molecular biology (Clifton, N.J.)2025
History of Mosquito Transgenesis: A Perspective in Review.
Review in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of mosquito transgenesis technologies was driven by the need to make stable and heritable modifications to the genomes of these important insects for a variety of basic and applied objectives. While a number of transient assay systems for gene expression analyses were developed, transposable elements (TEs) were the first tools that allowed the production of genetically manipulated strains for studies that involve the complex biology of these insects and their ability to transmit pathogens. TEs have been replaced more recently for most applications by the adaptation of Cas9/guide RNA techniques, but they are still useful in randomly sampling genomes as enhancer traps and identifying neutral regions in the genome free of insertion site effects. Coupled with the Cas9/guide RNA technologies, precise editing and engineering of the genetic mechanisms responsible for much of the biology of these interesting and important insects is now possible.
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Registered trials
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.