The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.
Long non-coding RNAs: From disease code to drug role
Open accessAbstract
Enormous studies have corroborated that long non-coding RNAs (lncRNAs) extensively participate in crucial physiological processes such as metabolism and immunity, and are closely related to the occurrence and development of tumors, cardiovascular diseases, nervous system disorders, nephropathy, and other diseases. The application of lncRNAs as biomarkers or intervention targets can provide new insights into the diagnosis and treatment of diseases. This paper has focused on the emerging research into lncRNAs as pharmacological targets and has reviewed the transition of lncRNAs from the role of disease coding to acting as drug candidates, including the current status and progress in preclinical research. Cutting-edge strategies for lncRNA modulation have been summarized, including the sources of lncRNA-related drugs, such as genetic technology and small-molecule compounds, and related delivery methods. The current progress of clinical trials of lncRNA-targeting drugs is also discussed. This information will form a latest updated reference for research and development of lncRNA-based drugs.
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Cites
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Cited by
Davis, M. J., Earley, S., Li, Y.-S., & Chien, S. (2023) · Physiological Reviews · doi:10.1152/physrev.00053.2021 · Cited by 273
Fang, X., Pan, X., Mai, H., Yuan, X., Liu, S., & Wen, F. (2021) · Bioengineered · doi:10.1080/21655979.2021.1996506 · Cited by 10
Metadata
- Authors
- Chen, Y., Li, Z., Chen, X., & Zhang, S.
- Venue
- Acta Pharmaceutica Sinica B
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 11
- Issue
- 2
- Pages
- 340-354
- ISSN
- 2211-3835 (ISSN-L)
- OpenAlex
- W3092533209
- Cited by
- 503
- References
- 135
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- gold
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- Chen, Y., Li, Z., Chen, X., & Zhang, S. (2021). Long non-coding RNAs: From disease code to drug role. Acta Pharmaceutica Sinica B. https://doi.org/10.1016/j.apsb.2020.10.001
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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.
