The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Long noncoding RNAs in neuronal-glial fate specification and oligodendrocyte lineage maturation
Open accessAbstract
Background: Long non-protein-coding RNAs (ncRNAs) are emerging as important regulators of cellular differentiation and are widely expressed in the brain. Results: Here we show that many long ncRNAs exhibit dynamic expression patterns during neuronal and oligodendrocyte (OL) lineage specification, neuronal-glial fate transitions, and progressive stages of OL lineage elaboration including myelination. Consideration of the genomic context of these dynamically regulated ncRNAs showed they were part of complex transcriptional loci that encompass key neural developmental protein-coding genes, with which they exhibit concordant expression profiles as indicated by both microarray and in situ hybridization analyses. These included ncRNAs associated with differentiation-specific nuclear subdomains such as Gomafu and Neat1, and ncRNAs associated with developmental enhancers and genes encoding important transcription factors and homeotic proteins. We also observed changes in ncRNA expression profiles in response to treatment with trichostatin A, a histone deacetylase inhibitor that prevents the progression of OL progenitors into post-mitotic OLs by altering lineage-specific gene expression programs. Conclusion: This is the first report of long ncRNA expression in neuronal and glial cell differentiation and of the modulation of ncRNA expression by modification of chromatin architecture. These observations explicitly link ncRNA dynamics to neural stem cell fate decisions, specification and epigenetic reprogramming and may have important implications for understanding and treating neuropsychiatric diseases.
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Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
Long non-coding RNAs: insights into functions
Mercer, T. R., Dinger, M. E., & Mattick, J. S. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2521 · Cited by 5,654
Self-citationGenome-wide maps of chromatin state in pluripotent and lineage-committed cells
Mikkelsen, T. S., Ku, M., Jaffe, D. B., Issac, B., Lieberman, E., Giannoukos, G., Alvarez, P., Brockman, W., Kim, T.-K., Koche, R. P., et al. (2007) · Nature · doi:10.1038/nature06008 · Cited by 4,129
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098
Cahoy, J. D., Emery, B., Kaushal, A., Foo, L. C., Zamanian, J. L., Christopherson, K. S., Xing, Y., Lubischer, J. L., Krieg, P. A., Krupenko, S. A., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4178-07.2008 · Cited by 3,129
Sempere, L. F., Freemantle, S., Pitha-Rowe, I., Moss, E., Dmitrovsky, E., & Ambros, V. (2004) · Genome Biology · doi:10.1186/gb-2004-5-3-r13 · Cited by 1,578
Clemson, C. M., Hutchinson, J. N., Sara, S. A., Ensminger, A. W., Fox, A. H., Chess, A., & Lawrence, J. B. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.01.026 · Cited by 1,445
Makeyev, E. V., Zhang, J., Carrasco, M. A., & Maniatis, T. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.07.015 · Cited by 1,395
In vivo enhancer analysis of human conserved non-coding sequences
Pennacchio, L. A., Ahituv, N., Moses, A. M., Prabhakar, S., Nobrega, M. A., Shoukry, M., Minovitsky, S., Dubchak, I., Holt, A., Lewis, K. D., et al. (2006) · Nature · doi:10.1038/nature05295 · Cited by 1,165
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Morris, K. V., & Mattick, J. S. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3722 · Cited by 1,371
Self-citationNeural circular RNAs are derived from synaptic genes and regulated by development and plasticity
You, X., Vlatkovic, I., Babic, A., Will, T., Epstein, I., Tushev, G., Akbalik, G., Wang, M., Glock, C., Quedenau, C., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3975 · Cited by 1,149
Ng, S., Johnson, R., & Stanton, L. W. (2012) · The EMBO Journal · doi:10.1038/emboj.2011.459 · Cited by 514
Barry, G., Briggs, J. A., Vanichkina, D. P., Poth, E. M., Beveridge, N. J., Ratnu, V. S., Nayler, S. P., Nones, K., Hu, J., Bredy, T. W., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.45 · Cited by 394
Self-citationThe Long Noncoding RNA RMST Interacts with SOX2 to Regulate Neurogenesis
Ng, S.-Y., Bogu, G. K., Soh, B. S., & Stanton, L. W. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.07.017 · Cited by 404
Metadata
- Authors
- Mercer, T. R., Qureshi, I. A., Gokhan, S., Dinger, M. E., Li, G., Mattick, J. S., & Mehler, M. F.
- Venue
- BMC Neuroscience
- Published
- 2010-02-05
- Volume
- 11
- Issue
- 1
- Pages
- 14-14
- ISSN
- 1471-2202 (ISSN-L)
- OpenAlex
- W2121646982
- Cited by
- 393
- References
- 16
- FWCI
- 9.28
- Type
- journal article
- Language
- en
- Open access
- gold
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- Mercer, T. R., Qureshi, I. A., Gokhan, S., Dinger, M. E., Li, G., Mattick, J. S., & Mehler, M. F. (2010). Long noncoding RNAs in neuronal-glial fate specification and oligodendrocyte lineage maturation. BMC Neuroscience. https://doi.org/10.1186/1471-2202-11-14
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