The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.
Cytoplasmic functions of long noncoding RNAs
Open accessAbstract
Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides found throughout the cell that lack protein‐coding function. Their functions are closely linked to their interaction with RNA‐binding proteins (RBPs) and nucleic acids. Nuclear lncRNAs have been studied extensively, revealing complexes with structural and regulatory roles that enable gene organization and control transcription. Cytoplasmic lncRNAs are less well understood, but accumulating evidence indicates that they also form complexes with diverse structural and regulatory functions. Here, we review our current knowledge of cytoplasmic lncRNAs and the different levels of gene regulation controlled by cytoplasmic lncRNA complexes, including mRNA turnover, translation, protein stability, sponging of cytosolic factors, and modulation of signaling pathways. We conclude by discussing areas of future study needed to elucidate comprehensively the biology of lncRNAs, to further understand the impact of lncRNAs on physiology and design lncRNA‐centered therapeutic strategies. This article is categorized under: RNA Export and Localization > RNA Localization Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs RNA Interactions with Proteins and Other Molecules > Protein–RNA Interactions: Functional Implications
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Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
Hansen, T. B., Jensen, T. I., Clausen, B. H., Bramsen, J. B., Finsen, B., Damgaard, C. K., & Kjems, J. (2013) · Nature · doi:10.1038/nature11993 · Cited by 7,985
Derrien, T., Johnson, R., Bussotti, G., Tanzer, A., Djebali, S., Tilgner, H., Guernec, G., Martin, D., Merkel, A., Knowles, D. G., et al. (2012) · Genome Research · doi:10.1101/gr.132159.111 · Cited by 5,061
Nucleic acid detection with CRISPR-Cas13a/C2c2
Gootenberg, J. S., Abudayyeh, O. O., Lee, J. W., Essletzbichler, P., Dy, A. J., Joung, J., Verdine, V., Donghia, N., Daringer, N. M., Freije, C. A., et al. (2017) · Science · doi:10.1126/science.aam9321 · Cited by 3,844
The Transcriptional Landscape of the Mammalian Genome
Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M. C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C., et al. (2005) · Science · doi:10.1126/science.1112014 · Cited by 3,499
Long Noncoding RNAs in Cancer Pathways
Schmitt, A. M., & Chang, H. Y. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.03.010 · Cited by 2,992
Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP
Hafner, M., Landthaler, M., Burger, L., Khorshid, M., Hausser, J., Berninger, P., Rothballer, A., Ascano, M., Jungkamp, A.-C., Munschauer, M., et al. (2010) · Cell · doi:10.1016/j.cell.2010.03.009 · Cited by 2,873
Kenyon, C. J. (2010) · Nature · doi:10.1038/nature08980 · Cited by 2,739
A Long Noncoding RNA Controls Muscle Differentiation by Functioning as a Competing Endogenous RNA
Cesana, M., Cacchiarelli, D., Legnini, I., Santini, T., Sthandier, O., Chinappi, M., Tramontano, A., & Bozzoni, I. (2011) · Cell · doi:10.1016/j.cell.2011.09.028 · Cited by 2,554
Long Noncoding RNAs: Cellular Address Codes in Development and Disease
Batista, P. J., & Chang, H. Y. (2013) · Cell · doi:10.1016/j.cell.2013.02.012 · Cited by 2,531
Cited by
Deng, X., Ruan, H., Zhang, X., Xu, X., Zhu, Y., Peng, H., Zhang, X., Kong, F., & Guan, M. (2020) · International Journal of Cancer · doi:10.1002/ijc.32608 · Cited by 218
Metadata
- Authors
- Noh, J. H., Kim, K. M., McClusky, W. G., Abdelmohsen, K., & Gorospe, M.
- Venue
- WIREs RNA
- Publisher
- Wiley
- Published
- 2018-03-08
- Volume
- 9
- Issue
- 3
- Pages
- e1471-e1471
- ISSN
- 1757-7004 (ISSN-L)
- 1757-7012
- OpenAlex
- W2791912972
- Cited by
- 432
- References
- 134
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- green
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