Identification of links between small molecules and miRNAs in human cancers based on transcriptional responses.
Identification of links between small molecules and miRNAs in human cancers based on transcriptional responses.
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基于转录反应鉴定人类癌症中小分子和 miRNA 之间的联系
DOI：
10.1038/srep00282
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发表时间：
2012
影响因子：
4.6
通讯作者：
Li, Xia
中科院分区：
文献类型：
--
作者：
Jiang, Wei;Chen, Xiaowen;Liao, Mingzhi;Li, Wei;Lian, Baofeng;Wang, Lihong;Meng, Fanlin;Liu, Xinyi;Chen, Xiujie;Jin, Yan;Li, Xia
使用小分子靶向miRNA是治疗人类疾病，特别是癌症的一种新型疗法。我们提出了一种新的高通量方法来识别23种不同癌症中小分子和miRNA之间的生物学联系，并为每种癌症构建了小分子-miRNA网络（SMirN），以系统地分析它们之间的关联特性。在每个SMirN中，我们将小分子（miRNAs）划分为模块，其中小分子（miRNAs）与一个miRNAs（small molecule）连接。几乎所有的miRNA模块都包含具有相似靶基因和功能的miRNA，或者是相同miRNA家族的成员。大多数小分子模块涉及具有相似化学结构、作用模式或药物相互作用的化合物。这些模块可用于确定候选药物和现有药物的新适应症。因此，我们的方法对药物发现和癌症治疗有价值。
The use of small molecules to target miRNAs is a new type of therapy for human diseases, particularly cancers. We proposed a novel high-throughput approach to identify the biological links between small molecules and miRNAs in 23 different cancers and constructed the Small Molecule-MiRNA Network (SMirN) for each cancer to systematically analyze the properties of their associations. In each SMirN, we partitioned small molecules (miRNAs) into modules, in which small molecules (miRNAs) were connected with one miRNA (small molecule). Almost all of the miRNA modules comprised miRNAs that had similar target genes and functions or were members of the same miRNA family. Most of the small molecule modules involved compounds with similar chemical structures, modes of action, or drug interactions. These modules can be used to identify drug candidates and new indications for existing drugs. Therefore, our approach is valuable to drug discovery and cancer therapy.
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影响因子：
9.3
作者：
Gatson JW;Maass DL;Simpkins JW;Idris AH;Minei JP;Wigginton JG
通讯作者：
Wigginton JG
DOI：
10.1186/1756-9966-29-102
发表时间：
2010-07-30
期刊：
Journal of experimental & clinical cancer research : CR
影响因子：
--
作者：
Karabulut B;Karaca B;Varol U;Muslu U;Cakar B;Atmaca H;Kisim A;Uzunoglu S;Uslu R
通讯作者：
Uslu R
影响因子：
3.9
作者：
Brest, Patrick;Lassalle, Sandra;Hofman, Paul
通讯作者：
Hofman, Paul
影响因子：
56.9
作者：
Campillos, Monica;Kuhn, Michael;Bork, Peer
通讯作者：
Bork, Peer
影响因子：
64.5
作者：
Lewis, BP;Shih, IH;Burge, CB
通讯作者：
Burge, CB