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Cited by 612

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

In the right place at the right time: visualizing and understanding mRNA localization

Open access
Buxbaum, Adina R., Haimovich, Gal, Singer, Robert H.·2015·Nature Reviews Molecular Cell Biology

Abstract

The spatial regulation of protein translation is an efficient way to create functional and structural asymmetries in cells. Recent research has furthered our understanding of how individual cells spatially organize protein synthesis, by applying innovative technology to characterize the relationship between mRNAs and their regulatory proteins, single-mRNA trafficking dynamics, physiological effects of abrogating mRNA localization in vivo and for endogenous mRNA labelling. The implementation of new imaging technologies has yielded valuable information on mRNA localization, for example, by observing single molecules in tissues. The emerging movements and localization patterns of mRNAs in morphologically distinct unicellular organisms and in neurons have illuminated shared and specialized mechanisms of mRNA localization, and this information is complemented by transgenic and biochemical techniques that reveal the biological consequences of mRNA mislocalization.

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Metadata

Authors
Buxbaum, A. R., Haimovich, G., & Singer, R. H.
Venue
Nature Reviews Molecular Cell Biology
Published
2014-12-30
Volume
16
Issue
2
Pages
95-109
ISSN
  • 1471-0072 (ISSN-L)
  • 1471-0080
OpenAlex
W2027267723
Cited by
612
References
13
FWCI
3.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: In the right place at the right time: visualizing and understanding mRNA localization. https://app.cochat.ai/papers/10.1038/nrm3918
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Buxbaum, A. R., Haimovich, G., & Singer, R. H. (2015). In the right place at the right time: visualizing and understanding mRNA localization. Nature Reviews Molecular Cell Biology. https://doi.org/10.1038/nrm3918

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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.