The Drosophila hairpin RNA pathway generates endogenous short interfering RNAs.

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Title: The Drosophila hairpin RNA pathway generates endogenous short interfering RNAs.
Authors: Okamura, Katsutomo, Wei-Jen Chung, Ruby, J. Graham, Guo, Huili, Bartel, David P., Lai, Eric C.
Source: Nature. 6/5/2008, Vol. 453 Issue 7196, p803-806. 4p. 1 Black and White Photograph, 1 Diagram, 1 Graph.
Subjects: Letters to the editor, Drosophila genetics
Abstract: In contrast to microRNAs and Piwi-associated RNAs, short interfering RNAs (siRNAs) are seemingly dispensable for host-directed gene regulation in Drosophila. This notion is based on the fact that mutants lacking the core siRNA-generating enzyme Dicer-2 or the predominant siRNA effector Argonaute 2 are viable, fertile and of relatively normal morphology. Moreover, endogenous Drosophila siRNAs have not yet been identified. Here we report that siRNAs derived from long hairpin RNA genes (hpRNAs) programme Slicer complexes that can repress endogenous target transcripts. The Drosophila hpRNA pathway is a hybrid mechanism that combines canonical RNA interference factors (Dicer-2, Hen1 (known as CG12367) and Argonaute 2) with a canonical microRNA factor (Loquacious) to generate ∼21-nucleotide siRNAs. These novel regulatory RNAs reveal unexpected complexity in the sorting of small RNAs, and open a window onto the biological usage of endogenous RNA interference in Drosophila. [ABSTRACT FROM AUTHOR]
Copyright of Nature is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The Drosophila hairpin RNA pathway generates endogenous short interfering RNAs.
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  Data: <searchLink fieldCode="AR" term="%22Okamura%2C+Katsutomo%22">Okamura, Katsutomo</searchLink><br /><searchLink fieldCode="AR" term="%22Wei-Jen+Chung%22">Wei-Jen Chung</searchLink><br /><searchLink fieldCode="AR" term="%22Ruby%2C+J%2E+Graham%22">Ruby, J. Graham</searchLink><br /><searchLink fieldCode="AR" term="%22Guo%2C+Huili%22">Guo, Huili</searchLink><br /><searchLink fieldCode="AR" term="%22Bartel%2C+David+P%2E%22">Bartel, David P.</searchLink><br /><searchLink fieldCode="AR" term="%22Lai%2C+Eric+C%2E%22">Lai, Eric C.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Nature%22">Nature</searchLink>. 6/5/2008, Vol. 453 Issue 7196, p803-806. 4p. 1 Black and White Photograph, 1 Diagram, 1 Graph.
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  Data: In contrast to microRNAs and Piwi-associated RNAs, short interfering RNAs (siRNAs) are seemingly dispensable for host-directed gene regulation in Drosophila. This notion is based on the fact that mutants lacking the core siRNA-generating enzyme Dicer-2 or the predominant siRNA effector Argonaute 2 are viable, fertile and of relatively normal morphology. Moreover, endogenous Drosophila siRNAs have not yet been identified. Here we report that siRNAs derived from long hairpin RNA genes (hpRNAs) programme Slicer complexes that can repress endogenous target transcripts. The Drosophila hpRNA pathway is a hybrid mechanism that combines canonical RNA interference factors (Dicer-2, Hen1 (known as CG12367) and Argonaute 2) with a canonical microRNA factor (Loquacious) to generate ∼21-nucleotide siRNAs. These novel regulatory RNAs reveal unexpected complexity in the sorting of small RNAs, and open a window onto the biological usage of endogenous RNA interference in Drosophila. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nature is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 6/5/2008
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