An Analysis of Human MicroRNA and Disease Associations Export

@article{citeulike:3428636, abstract = {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.}, author = {Lu, Ming and Zhang, Qipeng and Deng, Min and Miao, Jing and Guo, Yanhong and Gao, Wei and Cui, Qinghua}, citeulike-article-id = {3428636}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pone.0003420}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18923704}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18923704}, day = {15}, doi = {10.1371/journal.pone.0003420}, journal = {PLoS ONE}, keywords = {database, disease, human, microrna}, month = {October}, number = {10}, pages = {e3420+}, posted-at = {2008-10-19 07:32:34}, priority = {2}, publisher = {Public Library of Science}, title = {An Analysis of Human MicroRNA and Disease Associations}, url = {http://dx.doi.org/10.1371/journal.pone.0003420}, volume = {3}, year = {2008} }

TY - JOUR ID - citeulike:3428636 L3 - citeulike-article-id:3428636 N2 - 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. IS - 10 JF - PLoS ONE TI - An Analysis of Human MicroRNA and Disease Associations PB - Public Library of Science VL - 3 SP - e3420 KW - database KW - disease KW - human KW - microrna AU - Lu, Ming AU - Zhang, Qipeng AU - Deng, Min AU - Miao, Jing AU - Guo, Yanhong AU - Gao, Wei AU - Cui, Qinghua PY - 2008/10/15/ UR - http://dx.doi.org/10.1371/journal.pone.0003420 ER -