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Cited by 535

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Double-stranded RNA specifically disrupts gene expression during planarian regeneration

Open access
Sánchez Alvarado, Alejandro, Newmark, Phillip A.·1999·Proceedings of the National Academy of Sciences

Abstract

Metazoan regeneration is one of the least understood fundamental problems of biology. The lack of progress in understanding this phenomenon at the molecular level has been due to the poor regenerative abilities of the genetic organisms used for developmental studies, as well as the difficulties encountered with molecular and genetic manipulations of the commonly studied vertebrate models (the urodele amphibians). Here, we demonstrate that introduction of double-stranded RNA selectively abrogates gene function in planarians, a classic model of regeneration. The ability to eliminate gene function in a regenerating organism such as the planarian overcomes previous experimental limitations and opens the study of animal regeneration to unprecedented levels of molecular detail.

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Crossref · 10.1073/pnas.96.9.5049

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Metadata

Authors
Sánchez Alvarado, A., & Newmark, P. A.
Venue
Proceedings of the National Academy of Sciences
Published
1999-04-27
Volume
96
Issue
9
Pages
5049-5054
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2072572526
Cited by
535
References
1
FWCI
11.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Double-stranded RNA specifically disrupts gene expression during planarian regeneration. https://app.cochat.ai/papers/10.1073/pnas.96.9.5049
The paper
Sánchez Alvarado, A., & Newmark, P. A. (1999). Double-stranded RNA specifically disrupts gene expression during planarian regeneration. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.96.9.5049

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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.