The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
An Analysis of Human MicroRNA and Disease Associations
Open accessAbstract
It has been reported that increasingly microRNAs are associated with diseases. However, the patterns among the microRNA-disease associations remain largely unclear. In this study, in order to dissect the patterns of microRNA-disease associations, we performed a comprehensive analysis to the human microRNA-disease association data, which is manually collected from publications. We built a human microRNA associated disease network. Interestingly, microRNAs tend to show similar or different dysfunctional evidences for the similar or different disease clusters, respectively. A negative correlation between the tissue-specificity of a microRNA and the number of diseases it associated was uncovered. Furthermore, we observed an association between microRNA conservation and disease. Finally, we uncovered that microRNAs associated with the same disease tend to emerge as predefined microRNA groups. These findings can not only provide help in understanding the associations between microRNAs and human diseases but also suggest a new way to identify novel disease-associated microRNAs.
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
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., et al. (2007) · Cell · doi:10.1016/j.cell.2007.04.040 · Cited by 3,626
BASKERVILLE, S., & BARTEL, D. P. (2005) · RNA · doi:10.1261/rna.7240905 · Cited by 1,508
Hébert, S. S., Horré, K., Nicolaï, L., Papadopoulou, A. S., Mandemakers, W., Silahtaroglu, A. N., Kauppinen, S., Delacourte, A., & De Strooper, B. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710263105 · Cited by 1,183
Role of duplicate genes in genetic robustness against null mutations
Gu, Z., Steinmetz, L. M., Gu, X., Scharfe, C., Davis, R. W., & Li, W.-H. (2003) · Nature · doi:10.1038/nature01198 · Cited by 889
Evolutionary Rate in the Protein Interaction Network
Fraser, H. B., Hirsh, A. E., Steinmetz, L. M., Scharfe, C., & Feldman, M. W. (2002) · Science · doi:10.1126/science.1068696 · Cited by 869
Cited by
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
Network medicine: a network-based approach to human disease
Barabási, A.-L., Gulbahce, N., & Loscalzo, J. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2918 · Cited by 5,034
The HCV Life Cycle: In vitro Tissue Culture Systems and Therapeutic Targets
Gerold, G., & Pietschmann, T. (2014) · Digestive Diseases · doi:10.1159/000360830 · Cited by 4,854
Silencing disease genes in the laboratory and the clinic
Watts, J. K., & Corey, D. R. (2012) · The Journal of Pathology · doi:10.1002/path.2993 · Cited by 470
Toward the blood-borne miRNome of human diseases
Keller, A., Leidinger, P., Bauer, A., ElSharawy, A., Haas, J., Backes, C., Wendschlag, A., Giese, N., Tjaden, C., Ott, K., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1682 · Cited by 355
Metadata
- Authors
- Lu, M., Zhang, Q., Deng, M., Miao, J., Guo, Y., Gao, W., & Cui, Q.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-10-15
- Volume
- 3
- Issue
- 10
- Pages
- e3420
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2047967134
- Cited by
- 902
- References
- 7
- FWCI
- 10.11
- 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: An Analysis of Human MicroRNA and Disease Associations. https://app.cochat.ai/papers/10.1371/journal.pone.0003420
- The paper
- Lu, M., Zhang, Q., Deng, M., Miao, J., Guo, Y., Gao, W., & Cui, Q. (2008). An Analysis of Human MicroRNA and Disease Associations. PLoS ONE. https://doi.org/10.1371/journal.pone.0003420
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.