The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
LncRNADisease 2.0: an updated database of long non-coding RNA-associated diseases
Open accessAbstract
Mounting evidence suggested that dysfunction of long non-coding RNAs (lncRNAs) is involved in a wide variety of diseases. A knowledgebase with systematic collection and curation of lncRNA-disease associations is critically important for further examining their underlying molecular mechanisms. In 2013, we presented the first release of LncRNADisease, representing a database for collection of experimental supported lncRNA-disease associations. Here, we describe an update of the database. The new developments in LncRNADisease 2.0 include (i) an over 40-fold lncRNA-disease association enhancement compared with the previous version; (ii) providing the transcriptional regulatory relationships among lncRNA, mRNA and miRNA; (iii) providing a confidence score for each lncRNA-disease association; (iv) integrating experimentally supported circular RNA disease associations. LncRNADisease 2.0 documents more than 200 000 lncRNA-disease associations. We expect that this database will continue to serve as a valuable source for potential clinical application related to lncRNAs. LncRNADisease 2.0 is freely available at http://www.rnanut.net/lncrnadisease/.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
John, B., Enright, A. J., Aravin, A., Tuschl, T., Sander, C., & Marks, D. S. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020363 · Cited by 3,796
The role of site accessibility in microRNA target recognition
Kertesz, M., Iovino, N., Unnerstall, U., Gaul, U., & Segal, E. (2007) · Nature Genetics · doi:10.1038/ng2135 · Cited by 2,460
RNAhybrid: microRNA target prediction easy, fast and flexible
Kruger, J., & Rehmsmeier, M. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl243 · Cited by 1,941
Long noncoding RNAs and human disease
Wapinski, O., & Chang, H. Y. (2011) · Trends in Cell Biology · doi:10.1016/j.tcb.2011.04.001 · Cited by 1,900
miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database
Chou, C.-H., Chang, N.-W., Shrestha, S., Hsu, S.-D., Lin, Y.-L., Lee, W.-H., Yang, C.-D., Hong, H.-C., Wei, T.-Y., Tu, S.-J., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1258 · Cited by 1,831
Structure and function of long noncoding RNAs in epigenetic regulation
Mercer, T. R., & Mattick, J. S. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2480 · Cited by 1,438
Mechanisms of long noncoding RNA function in development and disease
Schmitz, S. U., Grote, P., & Herrmann, B. G. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2174-5 · Cited by 1,095
LncRNADisease: a database for long-non-coding RNA-associated diseases
Chen, G., Wang, Z., Wang, D., Qiu, C., Liu, M., Chen, X., Zhang, Q., Yan, G., & Cui, Q. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1099 · Cited by 982
Self-citation
Cited by
Closing the circle: current state and perspectives of circular RNA databases
Vromman, M., Vandesompele, J., & Volders, P.-J. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbz175 · Cited by 111
Biomedical data, computational methods and tools for evaluating disease–disease associations
Xiang, J., Zhang, J., Zhao, Y., Wu, F.-X., & Li, M. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac006 · Cited by 49
Long Non-Coding RNA Myoparr Regulates GDF5 Expression in Denervated Mouse Skeletal Muscle
Hitachi, K., Nakatani, M., & Tsuchida, K. (2019) · Non-Coding RNA · doi:10.3390/ncrna5020033 · Cited by 19
Metadata
- Authors
- Bao, Z., Yang, Z., Huang, Z., Zhou, Y., Cui, Q., & Dong, D.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-10-04
- Volume
- 47
- Issue
- D1
- Pages
- D1034-D1037
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2895679848
- Cited by
- 560
- References
- 29
- FWCI
- 16.32
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: LncRNADisease 2.0: an updated database of long non-coding RNA-associated diseases. https://app.cochat.ai/papers/10.1093/nar/gky905
- The paper
- Bao, Z., Yang, Z., Huang, Z., Zhou, Y., Cui, Q., & Dong, D. (2019). LncRNADisease 2.0: an updated database of long non-coding RNA-associated diseases. Nucleic Acids Research. https://doi.org/10.1093/nar/gky905
Data sources
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.
