The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Novel classes of non-coding RNAs and cancer
Open accessAbstract
For the many years, the central dogma of molecular biology has been that RNA functions mainly as an informational intermediate between a DNA sequence and its encoded protein. But one of the great surprises of modern biology was the discovery that protein-coding genes represent less than 2% of the total genome sequence, and subsequently the fact that at least 90% of the human genome is actively transcribed. Thus, the human transcriptome was found to be more complex than a collection of protein-coding genes and their splice variants. Although initially argued to be spurious transcriptional noise or accumulated evolutionary debris arising from the early assembly of genes and/or the insertion of mobile genetic elements, recent evidence suggests that the non-coding RNAs (ncRNAs) may play major biological roles in cellular development, physiology and pathologies. NcRNAs could be grouped into two major classes based on the transcript size; small ncRNAs and long ncRNAs. Each of these classes can be further divided, whereas novel subclasses are still being discovered and characterized. Although, in the last years, small ncRNAs called microRNAs were studied most frequently with more than ten thousand hits at PubMed database, recently, evidence has begun to accumulate describing the molecular mechanisms by which a wide range of novel RNA species function, providing insight into their functional roles in cellular biology and in human disease. In this review, we summarize newly discovered classes of ncRNAs, and highlight their functioning in cancer biology and potential usage as biomarkers or therapeutic targets.
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Cites
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
The widespread regulation of microRNA biogenesis, function and decay
Krol, J., Loedige, I., & Filipowicz, W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2843 · Cited by 4,672
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
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 2×
“possibility is quite complicated because of extensive secondary structures in lincRNAs [187].”
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
Tumour invasion and metastasis initiated by microRNA-10b in breast cancer
Ma, L., Teruya-Feldstein, J., & Weinberg, R. A. (2007) · Nature · doi:10.1038/nature06174 · Cited by 2,605
Ultraconserved Elements in the Human Genome
Bejerano, G., Pheasant, M., Makunin, I., Stephen, S., Kent, W. J., Mattick, J. S., & Haussler, D. (2004) · Science · doi:10.1126/science.1098119 · Cited by 1,732
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
The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution
Farh, K. K.-H., Grimson, A., Jan, C., Lewis, B. P., Johnston, W. K., Lim, L. P., Burge, C. B., & Bartel, D. P. (2005) · Science · doi:10.1126/science.1121158 · Cited by 1,484
Faghihi, M. A., Modarresi, F., Khalil, A. M., Wood, D. E., Sahagan, B. G., Morgan, T. E., Finch, C. E., St. Laurent III, G., Kenny, P. J., & Wahlestedt, C. (2008) · Nature Medicine · doi:10.1038/nm1784 · Cited by 1,416
Cited by
Methodological challenges in utilizing mi RNA s as circulating biomarkers
Moldovan, L., Batte, K. E., Trgovcich, J., Wisler, J., Marsh, C. B., & Piper, M. (2014) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.12236 · Cited by 436
Bian, Z., Jin, L., Zhang, J., Yin, Y., Quan, C., Hu, Y., Feng, Y., Liu, H., Fei, B., Mao, Y., et al. (2016) · Scientific Reports · doi:10.1038/srep23892 · Cited by 363
Circular RNAs: biogenesis, function, and a role as possible cancer biomarkers
Bolha, L., Ravnik-Glavač, M., & Glavač, D. (2017) · International Journal of Genomics · doi:10.1155/2017/6218353 · Cited by 166
“The small ncRNAs include microRNAs (miRNAs), small nuclear RNAs (snRNAs), PIWI-interacting RNAs (piRNAs), small interfering RNAs (siRNAs), small nucleolar RNAs (snoRNAs), and others [1], whereas lncRNAs comprise long intergenic ncRNAs (lincRNAs), intronic ncRNAs, macroRNAs, sense ncRNA, antisense RNAs, and others [2].”
BackgroundSources and Functions of Extracellular Small RNAs in Human Circulation
Fritz, J. V., Heintz-Buschart, A., Ghosal, A., Wampach, L., Etheridge, A., Galas, D., & Wilmes, P. (2016) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071715-050711 · Cited by 121
Drosophila as a Model to Gain Insight into the Role of lncRNAs in Neurological Disorders
Lo Piccolo, L. (2018) · Advances in Experimental Medicine and Biology · doi:10.1007/978-981-13-0529-0_8 · Cited by 13
Metadata
- Authors
- Sana, J., Faltejskova, P., Svoboda, M., & Slaby, O.
- Venue
- Journal of Translational Medicine
- Published
- 2012-05-21
- Volume
- 10
- Issue
- 1
- Pages
- 103-103
- ISSN
- 1479-5876 (ISSN-L)
- OpenAlex
- W2098158603
- Cited by
- 304
- References
- 19
- FWCI
- 7.64
- Type
- journal article
- Language
- en
- Open access
- gold
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