The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
On the classification of long non-coding RNAs
Open accessAbstract
Long non-coding RNAs (lncRNAs) have been found to perform various functions in a wide variety of important biological processes. To make easier interpretation of lncRNA functionality and conduct deep mining on these transcribed sequences, it is convenient to classify lncRNAs into different groups. Here, we summarize classification methods of lncRNAs according to their four major features, namely, genomic location and context, effect exerted on DNA sequences, mechanism of functioning and their targeting mechanism. In combination with the presently available function annotations, we explore potential relationships between different classification categories, and generalize and compare biological features of different lncRNAs within each category. Finally, we present our view on potential further studies. We believe that the classifications of lncRNAs as indicated above are of fundamental importance for lncRNA studies, helpful for further investigation of specific lncRNAs, for formulation of new hypothesis based on different features of lncRNA and for exploration of the underlying lncRNA functional mechanisms.
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The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?
Salmena, L., Poliseno, L., Tay, Y., Kats, L., & Pandolfi, P. P. (2011) · Cell · doi:10.1016/j.cell.2011.07.014 · Cited by 7,262
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
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 4×
“…23 PANDA ; 93 (3) guide: bind proteins and then direct the localization of ribonucleoprotein complex to specific targets, such as Xist , 64 HOTAIR ; 24,68 (4) scaffold: serve as central platforms to bring together multiple proteins to form ribonucleoprotein complexes, such as HOTAIR , 24,68 7SL .”
BackgroundInfluentialKhalil, 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
The RNA Component of Human Telomerase
Feng, J., Funk, W. D., Wang, S.-S., Weinrich, S. L., Avilion, A. A., Chiu, C.-P., Adams, R. R., Chang, E., Allsopp, R. C., Yu, J., et al. (1995) · Science · doi:10.1126/science.7544491 · Cited by 2,227
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
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
Guttman, M., Garber, M., Levin, J. Z., Donaghey, J., Robinson, J., Adiconis, X., Fan, L., Koziol, M. J., Gnirke, A., Nusbaum, C., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1633 · Cited by 1,253
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Okugawa, Y., Grady, W. M., & Goel, A. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.07.011 · Cited by 782
Biological Function of Long Non-coding RNA (LncRNA) Xist
Wang, W., Min, L., Qiu, X., Wu, X., Liu, C., Ma, J., Zhang, D., & Zhu, L. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.645647 · Cited by 248
Progress in Epigenetics of Depression
Peña, C. J., & Nestler, E. J. (2018) · Progress in Molecular Biology and Translational Science · doi:10.1016/bs.pmbts.2017.12.011 · Cited by 84
The importance of epigenetics in diagnostics and treatment of major depressive disorder
Czarny, P., Białek, K., Ziółkowska, S., Strycharz, J., Barszczewska, G., & Sliwinski, T. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11030167 · Cited by 37
Altered expression of long noncoding RNAs in patients with major depressive disorder
Seki, T., Yamagata, H., Uchida, S., Chen, C., Kobayashi, A., Kobayashi, M., Harada, K., Matsuo, K., Watanabe, Y., & Nakagawa, S. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.07.004 · Cited by 42
Metadata
- Authors
- Ma, L., Bajic, V. B., & Zhang, Z.
- Venue
- RNA Biology
- Publisher
- Informa UK Limited
- Published
- 2013-06
- Volume
- 10
- Issue
- 6
- Pages
- 924-933
- ISSN
- 1547-6286 (ISSN-L)
- 1555-8584
- OpenAlex
- W2062502437
- Cited by
- 1,327
- References
- 12
- FWCI
- 10.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
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