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NONCODING RNAS IN THE MAMMALIAN CENTRAL NERVOUS SYSTEM
Abstract
The central nervous system (CNS) is arguably one of the most complex systems in the universe. To understand the CNS, scientists have investigated a variety of molecules, including proteins, lipids, and various small molecules. However, one large class of molecules, noncoding RNAs (ncRNAs), has been relatively unexplored. ncRNAs function directly as structural, catalytic, or regulatory molecules rather than serving as templates for protein synthesis. The increasing variety of ncRNAs being identified in the CNS suggests a strong connection between the biogenesis, dynamics of action, and combinatorial regulatory potential of ncRNAs and the complexity of the CNS. In this review, we give an overview of the diversity and abundance of ncRNAs before delving into specific examples that illustrate their importance in the CNS. In particular, we cover recent evidence for the roles of microRNAs, small nucleolar RNAs, retrotransposons, the NRSE small modulatory RNA, and BC1/BC200 in the CNS. Finally, we speculate why ncRNAs are well adapted to improving organism-environment interactions.
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In the central nervous system, miRNAs are abundant, and brain-specific miRNAs assist in neuronal processes such as synaptic development, maturation and plasticity.
“In the central nervous system (CNS), miRNAs are abundant, as brain-specific miRNAs assist in various neuronal processes such as synaptic development, maturation and plasticity [8,9].”
From miR-10b-5p expression in Huntington’s disease brain relates to age of onset and the extent of striatal involvement (2015) · cites this paper as [9]
Citations
Cites
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
The RNA moiety of ribonuclease P is the catalytic subunit of the enzyme
Guerrier-Takada, C., Gardiner, K., Marsh, T., Pace, N., & Altman, S. (1983) · Cell · doi:10.1016/0092-8674(83)90117-4 · Cited by 2,684
The molecular basis of CaMKII function in synaptic and behavioural memory
Lisman, J., Schulman, H., & Cline, H. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn753 · Cited by 1,860
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
Cawley, S., Bekiranov, S., Ng, H. H., Kapranov, P., Sekinger, E. A., Kampa, D., Piccolboni, A., Sementchenko, V., Cheng, J., Williams, A. J., et al. (2004) · Cell · doi:10.1016/s0092-8674(04)00127-8 · Cited by 1,095
A microRNA array reveals extensive regulation of microRNAs during brain development
KRICHEVSKY, A. M., KING, K. S., DONAHUE, C. P., KHRAPKO, K., & KOSIK, K. S. (2003) · RNA · doi:10.1261/rna.5980303 · Cited by 1,040
Somatic mosaicism in neuronal precursor cells mediated by L1 retrotransposition
Muotri, A. R., Chu, V. T., Marchetto, M. C. N., Deng, W., Moran, J. V., & Gage, F. H. (2005) · Nature · doi:10.1038/nature03663 · Cited by 942
Self-citationComplete sequencing and characterization of 21,243 full-length human cDNAs
Ota, T., Suzuki, Y., Nishikawa, T., Otsuki, T., Sugiyama, T., Irie, R., Wakamatsu, A., Hayashi, K., Sato, H., Nagai, K., et al. (2004) · Nature Genetics · doi:10.1038/ng1285 · Cited by 925
Identification of novel small RNAs using comparative genomics and microarrays
Wassarman, K. M., Repoila, F., Rosenow, C., Storz, G., & Gottesman, S. (2001) · Genes & Development · doi:10.1101/gad.901001 · Cited by 723
Regulation of miRNA expression during neural cell specification
Smirnova, L., Gräfe, A., Seiler, A., Schumacher, S., Nitsch, R., & Wulczyn, F. G. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.03978.x · Cited by 707
Zalfa, F., Giorgi, M., Primerano, B., Moro, A., Di Penta, A., Reis, S., Oostra, B., & Bagni, C. (2003) · Cell · doi:10.1016/s0092-8674(03)00079-5 · Cited by 676
Human L1 element target‐primed reverse transcription in vitro
Cost, G. J., Feng, Q., Jacquier, A., & Boeke, J. D. (2002) · The EMBO Journal · doi:10.1093/emboj/cdf592 · Cited by 519
Transcriptional disruption by the L1 retrotransposon and implications for mammalian transcriptomes
Han, J. S., Szak, S. T., & Boeke, J. D. (2004) · Nature · doi:10.1038/nature02536 · Cited by 484
The catalytic diversity of RNAs
Fedor, M. J., & Williamson, J. R. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1647 · Cited by 358
Determination of L1 retrotransposition kinetics in cultured cells
Ostertag, E. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.6.1418 · Cited by 291 · cited 25×
“Full-length cDNA sequencing of human cDNA clones suggests that half the transcripts are noncoding (Ota et al. 2004).”
MethodInfluentialMicroRNAs acting in a double-negative feedback loop to control a neuronal cell fate decision
Johnston, R. J., Chang, S., Etchberger, J. F., Ortiz, C. O., & Hobert, O. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0505530102 · Cited by 276
Flagged first, then by citations
Research works printed but not linked: 133
- Alberts B, 2002, Molecular Biology of the Cell
- 10.1261/rna.2183803 · DOI · Paper page
- 10.1073/pnas.96.17.9873 · DOI · Paper page
- 10.1016/S0960-9822(01)00270-6 · DOI
- 10.1261/rna.7119904 · DOI · Paper page
- 10.1016/S0300-9084(02)01402-5 · DOI
- 10.1016/j.cell.2005.07.031 · DOI
- 10.1016/j.cell.2005.03.013 · DOI · Paper page
- 10.1101/gr.2845604 · DOI · Paper page
- 10.1016/S0092-8674(04)00045-5 · DOI
- 10.1038/nrg1328 · DOI
- 10.1038/ng1253 · DOI · Paper page
- 10.1007/s10577-005-2165-0 · DOI
- 10.1038/190576a0 · DOI
- 10.1073/pnas.0401827101 · DOI · Paper page
- 10.1523/JNEUROSCI.23-06-02112.2003 · DOI
- 10.1126/science.1112014 · DOI
- 10.1073/pnas.250426397 · DOI · Paper page
- 10.1016/S0092-8674(00)80687-X · DOI · Paper page
- 10.1126/science.1108625 · DOI
- 10.1146/annurev.biochem.72.121801.161837 · DOI
- 10.1016/j.tig.2004.02.001 · DOI
- 10.1021/bi981858s · DOI
- 10.1093/nar/29.2.573 · DOI
- 10.1016/j.molcel.2004.12.002 · DOI
- 10.1073/pnas.1834200100 · DOI
- 10.1074/jbc.M503973200 · DOI
- 10.1038/nature01979 · DOI
- 10.1038/nature01251 · DOI
- 10.1038/35096019 · DOI
- 10.1007/s00335-005-2460-2 · DOI
- 10.1146/annurev.biochem.73.011303.074048 · DOI
- 10.1038/35103511 · DOI
- 10.1038/74184 · DOI
- 10.1073/pnas.97.26.14035 · DOI
- 10.1016/j.cell.2005.06.023 · DOI
- 10.1128/JVI.79.17.10890-10901.2005 · DOI
- 10.1126/science.1109020 · DOI · Paper page
- 10.1093/nar/gki081 · DOI
- 10.1074/jbc.275.13.9461 · DOI
- 10.1016/j.tig.2003.08.007 · DOI
- 10.1038/nrg1379 · DOI · Paper page
- 10.1038/13165 · DOI
- 10.1093/emboj/20.11.2943 · DOI
- 10.1016/j.tig.2005.03.007 · DOI
- 10.1038/nn1174 · DOI
- 10.1371/journal.pbio.0020363 · DOI · Paper page
- 10.1038/nature02255 · DOI
- 10.1016/S0092-8674(02)01041-3 · DOI
- 10.1073/pnas.061021998 · DOI
- 10.1126/science.1112009 · DOI
- Kazazian HH, 2001, Dev. Biol. (Basel), 106, 307
- 10.1016/j.neuron.2004.09.013 · DOI · Paper page
- 10.1093/hmg/10.17.1721 · DOI
- 10.1089/088922299311123 · DOI
- 10.1073/pnas.2333854100 · DOI
- 10.1038/nrm1644 · DOI · Paper page
- Kishore S, Stamm S. (December 15, 2005) The snoRNA HBII-52 regulates alternative splicing of the serotonin receptor 2C. Science ; 10.1126/science.1118265 · DOI
- 10.1093/emboj/20.14.3617 · DOI
- 10.1016/S0092-8674(04)00248-X · DOI · Paper page
- 10.1016/S0960-9822(02)00809-6 · DOI · Paper page
- 10.1016/j.tibs.2003.12.002 · DOI
- 10.1016/0092-8674(81)90047-7 · DOI
- 10.1016/j.bbr.2004.02.015 · DOI
- 10.1016/j.cell.2004.12.035 · DOI · Paper page
- 10.1038/nature03315 · DOI · Paper page
- 10.1016/j.conb.2005.04.002 · DOI
- 10.1126/science.1076469 · DOI · Paper page
- 10.1086/379744 · DOI
- 10.1038/75546 · DOI
- 10.1073/pnas.90.24.11563 · DOI
- 10.1093/hmg/ddi101 · DOI
- 10.1038/sj.emboj.7600275 · DOI
- Miki Y, 1992, Cancer Res., 52, 643
- 10.1186/gb-2004-5-9-r68 · DOI · Paper page
- 10.1016/S0092-8674(00)81998-4 · DOI · Paper page
- 10.1038/ng898 · DOI
- 10.1016/S0022-2836(02)00655-1 · DOI
- 10.1083/jcb.141.7.1601 · DOI
- 10.1007/s10038-003-0081-8 · DOI
- 10.1038/35104581 · DOI
- 10.1006/dbio.1999.9523 · DOI · Paper page
- 10.1038/ng1022 · DOI
- 10.1146/annurev.genet.35.102401.091032 · DOI
- 10.1101/gr.205701 · DOI
- 10.1093/nar/gki089 · DOI
- 10.1016/j.gde.2005.01.002 · DOI
- 10.1038/nrm1259 · DOI
- 10.1093/emboj/17.4.1120 · DOI
- 10.1038/379131a0 · DOI
- 10.1126/science.1115079 · DOI
- 10.1073/pnas.0337627100 · DOI
- 10.1016/j.tig.2004.08.004 · DOI
- 10.1186/1471-2105-2-8 · DOI
- 10.1111/j.1460-9568.2003.03026.x · DOI
- 10.1038/nrn1368 · DOI
- 10.1186/gb-2004-5-10-r73 · DOI
- 10.1093/nar/26.20.4541 · DOI
- 10.1038/82367 · DOI
- 10.1186/gb-2004-5-4-105 · DOI
- 10.1016/j.cell.2004.12.012 · DOI · Paper page
- 10.1007/PL00006426 · DOI
- 10.1038/415810a · DOI
- 10.1016/j.cell.2005.06.030 · DOI
- 10.1126/science.1101312 · DOI
- 10.1073/pnas.0408203102 · DOI
- 10.1126/science.1072249 · DOI
- 10.1146/annurev.biochem.74.082803.133136 · DOI
- 10.1091/mbc.E05-07-0687 · DOI
- 10.1073/pnas.79.16.4942 · DOI
- 10.1016/j.conb.2004.04.001 · DOI
- 10.1038/nmeth704 · DOI
- 10.1523/JNEUROSCI.13-06-02382.1993 · DOI
- 10.1083/jcb.200411129 · DOI
- 10.1038/299691a0 · DOI
- 10.1523/JNEUROSCI.22-23-10232.2002 · DOI
- 10.1046/j.1471-4159.2000.741290.x · DOI
- 10.1038/nbt1144 · DOI
- 10.1128/MCB.7.9.3324 · DOI
- 10.1128/MCB.21.4.1429-1439.2001 · DOI
- 10.1126/science.1115901 · DOI
- 10.1038/35081514 · DOI
- 10.1126/science.1088305 · DOI
- 10.1038/35104575 · DOI
- 10.1126/science.1100801 · DOI · Paper page
- 10.1093/nar/27.14.2912 · DOI
- 10.1073/pnas.86.23.9233 · DOI
- 10.1016/S0165-0173(99)00037-5 · DOI
- 10.1126/science.1111444 · DOI
- 10.1016/j.tig.2004.11.003 · DOI
- 10.1016/0092-8674(81)90046-5 · DOI
- 10.1038/ng1219 · DOI · Paper page
- 10.1261/rna.7203605 · DOI
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Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., et al. (2007) · Cell · doi:10.1016/j.cell.2007.04.040 · Cited by 3,626
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Wang, J., Chen, J., & Sen, S. (2016) · Journal of Cellular Physiology · doi:10.1002/jcp.25056 · Cited by 793
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Edbauer, D., Neilson, J. R., Foster, K. A., Wang, C.-F., Seeburg, D. P., Batterton, M. N., Tada, T., Dolan, B. M., Sharp, P. A., & Sheng, M. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.005 · Cited by 735
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MicroRNA miR-137 Regulates Neuronal Maturation by Targeting Ubiquitin Ligase Mind Bomb-1
Smrt, R. D., Szulwach, K. E., Pfeiffer, R. L., Li, X., Guo, W., Pathania, M., Teng, Z.-Q., Luo, Y., Peng, J., Bordey, A., et al. (2010) · Stem Cells · doi:10.1002/stem.431 · Cited by 404
De Pietri Tonelli, D., Pulvers, J. N., Haffner, C., Murchison, E. P., Hannon, G. J., & Huttner, W. B. (2008) · Development · doi:10.1242/dev.025080 · Cited by 343
RNA oxidation in Alzheimer disease and related neurodegenerative disorders
Nunomura, A., Hofer, T., Moreira, P. I., Castellani, R. J., Smith, M. A., & Perry, G. (2009) · Acta Neuropathologica · doi:10.1007/s00401-009-0508-1 · Cited by 148
Hoss, A. G., Labadorf, A., Latourelle, J. C., Kartha, V. K., Hadzi, T. C., Gusella, J. F., MacDonald, M. E., Chen, J.-F., Akbarian, S., Weng, Z., et al. (2015) · BMC Medical Genomics · doi:10.1186/s12920-015-0083-3 · Cited by 151
Hsieh, J., & Eisch, A. J. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2010.01.008 · Cited by 144
Everything you wanted to know about small RNA but were afraid to ask
Boyd, S. D. (2008) · Laboratory Investigation · doi:10.1038/labinvest.2008.32 · Cited by 108
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Iacoangeli, A., Rozhdestvensky, T. S., Dolzhanskaya, N., Tournier, B., Schütt, J., Brosius, J., Denman, R. B., Khandjian, E. W., Kindler, S., & Tiedge, H. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710991105 · Cited by 83
Plomin, R., & Davis, O. S. P. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2008.01978.x · Cited by 59
RNA-Seq Reveals Novel Transcriptional Reorganization in Human Alcoholic Brain
Farris, S. P., & Dayne Mayfield, R. (2014) · International Review of Neurobiology · doi:10.1016/b978-0-12-801105-8.00011-4 · Cited by 49
Matuszek, G., & Talebizadeh, Z. (2009) · BMC Medical Genetics · doi:10.1186/1471-2350-10-102 · Cited by 48
Multi-omics integration strategies for animal epigenetic studies — A review
Kim, D.-Y., & Kim, J.-M. (2021) · Animal Bioscience · doi:10.5713/ab.21.0042 · Cited by 47
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Higuchi, Y., Soga, T., & Parhar, I. S. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00339 · Cited by 22
de Bartolomeis, A., Iasevoli, F., Tomasetti, C., & Buonaguro, E. F. (2015) · Molecular Neurobiology · doi:10.1007/s12035-014-8962-8 · Cited by 21
Metadata
- Authors
- Cao, X., Yeo, G., Muotri, A. R., Kuwabara, T., & Gage, F. H.
- Affiliations
- Laboratory of Genetics, 3Crick-Jacobs Center for Computational and Theoretical Biology, The Salk Institute for Biological Studies, La Jolla, California 92037;, , ,
- Regulatory RNA Research Team, Gene Function Research Center, National Institute of Advanced Industrial Science and Technology, Higashi, Tsukuba Science City, Ibaraki 305-8562, Japan;
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2006-07-21
- Volume
- 29
- Issue
- 1
- Pages
- 77-103
- ISSN
- 0147-006X
- 1545-4126
- Cited by
- 379
- References
- 16
- Language
- en
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