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Non-coding RNAs in Development and Disease: Background, Mechanisms, and Therapeutic Approaches
Open accessAbstract
Advances in RNA-sequencing techniques have led to the discovery of thousands of non-coding transcripts with unknown function. There are several types of non-coding linear RNAs such as microRNAs (miRNA) and long non-coding RNAs (lncRNA), as well as circular RNAs (circRNA) consisting of a closed continuous loop. This review guides the reader through important aspects of non-coding RNA biology. This includes their biogenesis, mode of actions, physiological function, as well as their role in the disease context (such as in cancer or the cardiovascular system). We specifically focus on non-coding RNAs as potential therapeutic targets and diagnostic biomarkers.
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Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Mfold web server for nucleic acid folding and hybridization prediction
Zuker, M. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg595 · Cited by 13,404
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
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
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
Regulation of microRNA biogenesis
Ha, M., & Kim, V. N. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3838 · Cited by 5,462
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
Circular RNAs are abundant, conserved, and associated with ALU repeats
Jeck, W. R., Sorrentino, J. A., Wang, K., Slevin, M. K., Burd, C. E., Liu, J., Marzluff, W. F., & Sharpless, N. E. (2013) · RNA · doi:10.1261/rna.035667.112 · Cited by 4,388
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 · cited 1×
“Compared with protein-coding genes, which usually exhibit sequence similarities or identities among species, lncRNA transcripts in general appear less conserved, but more than introns or intergenic regions (94, 267).”
BackgroundGene Action in the X-chromosome of the Mouse (Mus musculus L.)
LYON, M. F. (1961) · Nature · doi:10.1038/190372a0 · Cited by 3,978
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes
Tsai, M.-C., Manor, O., Wan, Y., Mosammaparast, N., Wang, J. K., Lan, F., Shi, Y., Segal, E., & Chang, H. Y. (2010) · Science · doi:10.1126/science.1192002 · Cited by 3,290 · cited 1×
“HOTAIR physically associates not only with PRC2 but also with LSD1 (Lys-specific demethylase 1), both of them chromatin modifying proteins (265).”
BackgroundKhalil, A. M., Guttman, M., Huarte, M., Garber, M., Raj, A., Rivea Morales, D., Thomas, K., Presser, A., Bernstein, B. E., van Oudenaarden, A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904715106 · Cited by 2,872
Processing of primary microRNAs by the Microprocessor complex
Denli, A. M., Tops, B. B. J., Plasterk, R. H. A., Ketting, R. F., & Hannon, G. J. (2004) · Nature · doi:10.1038/nature03049 · Cited by 2,784
The landscape of long noncoding RNAs in the human transcriptome
Iyer, M. K., Niknafs, Y. S., Malik, R., Singhal, U., Sahu, A., Hosono, Y., Barrette, T. R., Prensner, J. R., Evans, J. R., Zhao, S., et al. (2015) · Nature Genetics · doi:10.1038/ng.3192 · Cited by 2,738
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
Widespread transcription at neuronal activity-regulated enhancers
Kim, T.-K., Hemberg, M., Gray, J. M., Costa, A. M., Bear, D. M., Wu, J., Harmin, D. A., Laptewicz, M., Barbara-Haley, K., Kuersten, S., et al. (2010) · Nature · doi:10.1038/nature09033 · Cited by 2,450
MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signalling in fibroblasts
Thum, T., Gross, C., Fiedler, J., Fischer, T., Kissler, S., Bussen, M., Galuppo, P., Just, S., Rottbauer, W., Frantz, S., et al. (2008) · Nature · doi:10.1038/nature07511 · Cited by 2,349
Self-citationKEGG for representation and analysis of molecular networks involving diseases and drugs
Kanehisa, M., Goto, S., Furumichi, M., Tanabe, M., & Hirakawa, M. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp896 · Cited by 2,322
Circular intronic long noncoding RNAs
Zhang, Y., Zhang, X.-O., Chen, T., Xiang, J.-F., Yin, Q.-F., Xing, Y.-H., Zhu, S., Yang, L., & Chen, L.-L. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.08.017 · Cited by 2,221
Ingolia, N. T., Lareau, L. F., & Weissman, J. S. (2011) · Cell · doi:10.1016/j.cell.2011.10.002 · Cited by 2,187
Complementary Sequence-Mediated Exon Circularization
Zhang, X.-O., Wang, H.-B., Zhang, Y., Lu, X., Chen, L.-L., & Yang, L. (2014) · Cell · doi:10.1016/j.cell.2014.09.001 · Cited by 1,999
Long Noncoding RNAs with Enhancer-like Function in Human Cells
Ørom, U. A., Derrien, T., Beringer, M., Gumireddy, K., Gardini, A., Bussotti, G., Lai, F., Zytnicki, M., Notredame, C., Huang, Q., et al. (2010) · Cell · doi:10.1016/j.cell.2010.09.001 · Cited by 1,721
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
Yap, K. L., Li, S., Muñoz-Cabello, A. M., Raguz, S., Zeng, L., Mujtaba, S., Gil, J., Walsh, M. J., & Zhou, M.-M. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.03.021 · Cited by 1,391
Functional roles of enhancer RNAs for oestrogen-dependent transcriptional activation
Li, W., Notani, D., Ma, Q., Tanasa, B., Nunez, E., Chen, A. Y., Merkurjev, D., Zhang, J., Ohgi, K., Song, X., et al. (2013) · Nature · doi:10.1038/nature12210 · Cited by 1,049
Enhancer function: new insights into the regulation of tissue-specific gene expression
Ong, C.-T., & Corces, V. G. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2957 · Cited by 929
Functional and Mechanistic Diversity of Distal Transcription Enhancers
Bulger, M., & Groudine, M. (2011) · Cell · doi:10.1016/j.cell.2011.01.024 · Cited by 803
Ribosome Profiling Provides Evidence that Large Noncoding RNAs Do Not Encode Proteins
Guttman, M., Russell, P., Ingolia, N. T., Weissman, J. S., & Lander, E. S. (2013) · Cell · doi:10.1016/j.cell.2013.06.009 · Cited by 745
Therapy for Fibrotic Diseases: Nearing the Starting Line
Friedman, S. L., Sheppard, D., Duffield, J. S., & Violette, S. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3004700 · Cited by 655
The miRNA-212/132 family regulates both cardiac hypertrophy and cardiomyocyte autophagy
Ucar, A., Gupta, S. K., Fiedler, J., Erikci, E., Kardasinski, M., Batkai, S., Dangwal, S., Kumarswamy, R., Bang, C., Holzmann, A., et al. (2012) · Nature Communications · doi:10.1038/ncomms2090 · Cited by 610 · cited 2×
“Both in genetic and pharmacological deletion models, miR-132 silencing shows therapeutic efficacy to block cardiac remodeling by normalization of cardiac size and inhibition of fibrosis (266), paving the way for potential future clinical trials to block pathological cardiac remodeling in patients.”
BackgroundSelf-citationMorphogenesis in skin is governed by discrete sets of differentially expressed microRNAs
Yi, R., O'Carroll, D., Pasolli, H. A., Zhang, Z., Dietrich, F. S., Tarakhovsky, A., & Fuchs, E. (2006) · Nature Genetics · doi:10.1038/ng1744 · Cited by 555
Topoisomerase inhibitors unsilence the dormant allele of Ube3a in neurons
Huang, H.-S., Allen, J. A., Mabb, A. M., King, I. F., Miriyala, J., Taylor-Blake, B., Sciaky, N., Dutton, J. W., Lee, H.-M., Chen, X., et al. (2012) · Nature · doi:10.1038/nature10726 · Cited by 387
Long noncoding RNA Chast promotes cardiac remodeling
Viereck, J., Kumarswamy, R., Foinquinos, A., Xiao, K., Avramopoulos, P., Kunz, M., Dittrich, M., Maetzig, T., Zimmer, K., Remke, J., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf1475 · Cited by 370
Self-citationAndl, T., Murchison, E. P., Liu, F., Zhang, Y., Yunta-Gonzalez, M., Tobias, J. W., Andl, C. D., Seykora, J. T., Hannon, G. J., & Millar, S. E. (2006) · Current Biology · doi:10.1016/j.cub.2006.04.005 · Cited by 359
Prader–Willi syndrome and Angelman syndrome
Buiting, K. (2010) · American Journal of Medical Genetics Part C: Seminars in Medical Genetics · doi:10.1002/ajmg.c.30273 · Cited by 336
Distinct Mechanisms for MicroRNA Strand Selection by Drosophila Argonautes
Okamura, K., Liu, N., & Lai, E. C. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.09.027 · Cited by 324
Meng, L., Person, R. E., & Beaudet, A. L. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds130 · Cited by 202
Enhancers: emerging roles in cell fate specification
Ong, C., & Corces, V. G. (2012) · The EMBO Reports · doi:10.1038/embor.2012.52 · Cited by 144
Lovric, J., Mano, M., Zentilin, L., Eulalio, A., Zacchigna, S., & Giacca, M. (2012) · Molecular Therapy · doi:10.1038/mt.2012.144 · Cited by 77
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Transcriptional and Post-Transcriptional Gene Regulation by Long Non-Coding RNA
Dykes, I. M., & Emanueli, C. (2017) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2016.12.005 · Cited by 914
Vascular Smooth Muscle Cells and Arterial Stiffening: Relevance in Development, Aging, and Disease
Lacolley, P., Regnault, V., Segers, P., & Laurent, S. (2017) · Physiological Reviews · doi:10.1152/physrev.00003.2017 · Cited by 734
Ren, J., Ding, L., Zhang, D., Shi, G., Xu, Q., Shen, S., Wang, Y., Wang, T., & Hou, Y. (2018) · Theranostics · doi:10.7150/thno.25541 · Cited by 698
The novel regulatory role of lnc RNA‐mi RNA‐mRNA axis in cardiovascular diseases
Huang, Y. (2018) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.13866 · Cited by 445
Liang, H., Yu, T., Han, Y., Jiang, H., Wang, C., You, T., Zhao, X., Shan, H., Yang, R., Yang, L., et al. (2018) · Molecular Cancer · doi:10.1186/s12943-018-0870-5 · Cited by 348
Metadata
- Authors
- Beermann, J., Piccoli, M.-T., Viereck, J., & Thum, T.
- Venue
- Physiological Reviews
- Publisher
- American Physiological Society
- Published
- 2016-10
- Volume
- 96
- Issue
- 4
- Pages
- 1297-1325
- ISSN
- 0031-9333 (ISSN-L)
- 1522-1210
- OpenAlex
- W2509738156
- Cited by
- 1,726
- References
- 44
- FWCI
- 10.81
- Type
- journal article
- Language
- en
- Open access
- green
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