The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The long noncoding RNA RNCR2 directs mouse retinal cell specification
Open accessAbstract
Background: Recent work has identified that many long mRNA-like noncoding RNAs (lncRNAs) are expressed in the developing nervous system. Despite their abundance, the function of these ncRNAs has remained largely unexplored. We have investigated the highly abundant lncRNA RNCR2 in regulation of mouse retinal cell differentiation. Results: We find that the RNCR2 is selectively expressed in a subset of both mitotic progenitors and postmitotic retinal precursor cells. ShRNA-mediated knockdown of RNCR2 results in an increase of both amacrine cells and Müller glia, indicating a role for this lncRNA in regulating retinal cell fate specification. We further report that RNCR2 RNA, which is normally nuclear-retained, can be exported from the nucleus when fused to an IRES-GFP sequence. Overexpression of RNCR2-IRES-GFP phenocopies the effects of shRNA-mediated knockdown of RNCR2, implying that forced mislocalization of RNCR2 induces a dominant-negative phenotype. Finally, we use the IRES-GFP fusion approach to identify specific domains of RNCR2 that are required for repressing both amacrine and Müller glial differentiation. Conclusion: These data demonstrate that the lncRNA RNCR2 plays a critical role in regulating mammalian retinal cell fate specification. Furthermore, we present a novel approach for generating dominant-negative constructs of lncRNAs, which may be generally useful in the functional analysis of this class of molecules.
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The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 3,971 · cited 1×
“blue using the PhastCons program [35].”
Specific expression of long noncoding RNAs in the mouse brain
Mercer, T. R., Dinger, M. E., Sunkin, S. M., Mehler, M. F., & Mattick, J. S. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706729105 · Cited by 1,103
Nrl is required for rod photoreceptor development
Mears, A. J., Kondo, M., Swain, P. K., Takada, Y., Bush, R. A., Saunders, T. L., Sieving, P. A., & Swaroop, A. (2001) · Nature Genetics · doi:10.1038/ng774 · Cited by 912
Feng, J., Bi, C., Clark, B. S., Mady, R., Shah, P., & Kohtz, J. D. (2006) · Genes & Development · doi:10.1101/gad.1416106 · Cited by 712
Cited by
Long non-coding RNAs: new players in cell differentiation and development
Fatica, A., & Bozzoni, I. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3606 · Cited by 2,980
lincRNAs: Genomics, Evolution, and Mechanisms
Ulitsky, I., & Bartel, D. P. (2013) · Cell · doi:10.1016/j.cell.2013.06.020 · Cited by 2,608
Ng, S., Johnson, R., & Stanton, L. W. (2012) · The EMBO Journal · doi:10.1038/emboj.2011.459 · Cited by 514
A mammalian pseudogene lncRNA at the interface of inflammation and anti-inflammatory therapeutics
Rapicavoli, N. A., Qu, K., Zhang, J., Mikhail, M., Laberge, R.-M., & Chang, H. Y. (2013) · eLife · doi:10.7554/elife.00762 · Cited by 473
Self-citationBriggs, J. A., Wolvetang, E. J., Mattick, J. S., Rinn, J. L., & Barry, G. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.045 · Cited by 447
Metadata
- Authors
- Rapicavoli, N. A., Poth, E. M., & Blackshaw, S.
- Venue
- BMC Developmental Biology
- Published
- 2010-05-11
- Volume
- 10
- Issue
- 1
- Pages
- 49-49
- ISSN
- 1471-213X (ISSN-L)
- OpenAlex
- W2110621553
- Cited by
- 184
- References
- 5
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
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