The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
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
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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
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Cited by
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
Gui, Y., Zheng, H., & Cao, R. Y. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.845942 · Cited by 258
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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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.