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Cited by 569

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Identification of many microRNAs that copurify with polyribosomes in mammalian neurons

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Kim, John, Krichevsky, Anna, Grad, Yonatan, Hayes, Gabriel D., Kosik, Kenneth S., Church, George M., Ruvkun, Gary·2004·Proceedings of the National Academy of Sciences

Abstract

Localized translation in mammalian dendrites may play a role in synaptic plasticity and contribute to the molecular basis for learning and memory. The regulatory mechanisms that control localized translation in neurons are not well understood. We propose a role for microRNAs (miRNAs), a class of noncoding RNAs, as mediators of neuronal translational regulation. We have identified 86 miRNAs expressed in mammalian neurons, of which 40 have not previously been reported. A subset of these miRNAs exhibits temporally regulated expression in cortical cultures. Moreover, all of the miRNAs that were tested cofractionate with polyribosomes, the sites of active translation. These findings indicate that a large, diverse population of miRNAs may function to regulate translation in mammalian neurons.

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Metadata

Authors
Kim, J., Krichevsky, A., Grad, Y., Hayes, G. D., Kosik, K. S., Church, G. M., & Ruvkun, G.
Venue
Proceedings of the National Academy of Sciences
Published
2003-12-22
Volume
101
Issue
1
Pages
360-365
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2060317992
Cited by
569
References
13
FWCI
15.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Identification of many microRNAs that copurify with polyribosomes in mammalian neurons. https://app.cochat.ai/papers/10.1073/pnas.2333854100
The paper
Kim, J., Krichevsky, A., Grad, Y., Hayes, G. D., Kosik, K. S., Church, G. M., & Ruvkun, G. (2004). Identification of many microRNAs that copurify with polyribosomes in mammalian neurons. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2333854100

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