An analysis of human microRNA and disease associations.
An analysis of human microRNA and disease associations.
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人类microRNA和疾病关联的分析。
DOI：
10.1371/journal.pone.0003420
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发表时间：
2008
期刊：
影响因子：
3.7
通讯作者：
Cui, Qinghua
中科院分区：
文献类型：
--
作者：
Lu, Ming;Zhang, Qipeng;Deng, Min;Miao, Jing;Guo, Yanhong;Gao, Wei;Cui, Qinghua
据报道，越来越多的microRNA与疾病有关。然而，microRNA与疾病之间的关系在很大程度上仍不清楚。在这项研究中，为了剖析microRNA-疾病关联的模式，我们对人类microRNA-疾病关联数据进行了全面分析，这些数据是从出版物中手动收集的。我们建立了一个人类microRNA相关疾病网络。有趣的是，microRNA倾向于分别显示相似或不同疾病簇的相似或不同功能障碍证据。发现了microRNA的组织特异性与其相关疾病数量之间的负相关性。此外，我们观察到microRNA保守与疾病之间的关联。最后，我们发现与同一疾病相关的microRNA往往以预定义的microRNA组出现。这些发现不仅有助于理解microRNA与人类疾病之间的关系，而且为识别新的疾病相关microRNA提供了新的方法。
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.
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影响因子：
14.9
作者：
Griffiths-Jones, S
通讯作者：
Griffiths-Jones, S
影响因子：
56.9
作者：
Jopling, CL;Yi, MK;Sarnow, P
通讯作者：
Sarnow, P
DOI：
10.1073/pnas.0710263105
发表时间：
2008-04-29
影响因子：
11.1
作者：
Hebert, Sebastien S.;Horre, Katrien;De Strooper, Bart
通讯作者：
De Strooper, Bart
影响因子：
56.9
作者：
Vasudevan, Shobha;Tong, Yingchun;Steitz, Joan A.
通讯作者：
Steitz, Joan A.
影响因子：
82.9
作者：
Yang, Baofeng;Lin, Huixian;Wang, Zhiguo
通讯作者：
Wang, Zhiguo