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Cited by 486

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Towards the elements of successful insect RNAi

Open access
Scott, Jeffrey G., Michel, Kristin, Bartholomay, Lyric C., Siegfried, Blair D., Hunter, Wayne B., Smagghe, Guy, Zhu, Kun Yan, Douglas, Angela E.·2013·Journal of Insect Physiology

Abstract

RNA interference (RNAi), the sequence-specific suppression of gene expression, offers great opportunities for insect science, especially to analyze gene function, manage pest populations, and reduce disease pathogens. The accumulating body of literature on insect RNAi has revealed that the efficiency of RNAi varies between different species, the mode of RNAi delivery, and the genes being targeted. There is also variation in the duration of transcript suppression. At present, we have a limited capacity to predict the ideal experimental strategy for RNAi of a particular gene/insect because of our incomplete understanding of whether and how the RNAi signal is amplified and spread among insect cells. Consequently, development of the optimal RNAi protocols is a highly empirical process. This limitation can be relieved by systematic analysis of the molecular physiological basis of RNAi mechanisms in insects. An enhanced conceptual understanding of RNAi function in insects will facilitate the application of RNAi for dissection of gene function, and to fast-track the application of RNAi to both control pests and develop effective methods to protect beneficial insects and non-insect arthropods, particularly the honey bee (Apis mellifera) and cultured Pacific white shrimp (Litopenaeus vannamei) from viral and parasitic diseases.

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Metadata

Authors
Scott, J. G., Michel, K., Bartholomay, L. C., Siegfried, B. D., Hunter, W. B., Smagghe, G., Zhu, K. Y., & Douglas, A. E.
Venue
Journal of Insect Physiology
Publisher
Elsevier BV
Published
2013-12
Volume
59
Issue
12
Pages
1212-1221
ISSN
0022-1910 (ISSN-L)
OpenAlex
W2030262874
Cited by
486
References
6
FWCI
14.79
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Towards the elements of successful insect RNAi. https://app.cochat.ai/papers/10.1016/j.jinsphys.2013.08.014
The paper
Scott, J. G., Michel, K., Bartholomay, L. C., Siegfried, B. D., Hunter, W. B., Smagghe, G., Zhu, K. Y., & Douglas, A. E. (2013). Towards the elements of successful insect RNAi. Journal of Insect Physiology. https://doi.org/10.1016/j.jinsphys.2013.08.014

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.