Competing endogenous RNA networks: tying the essential knots for cancer biology and therapeutics.
Competing endogenous RNA networks: tying the essential knots for cancer biology and therapeutics.
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DOI：
10.1186/s13045-015-0129-1
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发表时间：
2015-03-28
影响因子：
28.5
通讯作者：
Tay Y
中科院分区：
文献类型：
--
作者：
Sanchez-Mejias A;Tay Y
最近发现的转录后基因调控的维度涉及RNA转录本之间的共调控串扰，其竞争共同的microRNA（miRNA）分子库。这些竞争性内源性RNA（ceRNA）或天然miRNA海绵在调节细胞内miRNA可用性方面具有积极作用，并形成相互交织的调控网络。最近的报道涉及多种RNA种类，包括蛋白质编码信使RNA和非编码RNA作为人类发育和疾病（包括人类癌症）中的ceRNA。在这篇综述中，我们讨论了涉及人类癌症生物学中天然miRNA诱饵的最新发现，以及ceRNA网络和动力学研究的令人兴奋的进展。复杂的基因组规模的ceRNA网络的结构和拓扑结构可以通过计算来预测，它们对ceRNA和miRNA水平波动的动态响应可以通过数学建模来研究。此外，定量测定miRNA和ceRNA分子的绝对表达水平的新方法的开发扩大了在不同生物模型中准确研究ceRNA串扰效率的能力。这些重要的里程碑对于确定ceRNA调控网络的关键组成部分至关重要，这些组成部分可以帮助开发癌症诊断和基于阿托伐他汀的治疗方法的新方法。
A recently discovered dimension of post-transcriptional gene regulation involves co-regulatory crosstalk between RNA transcripts, which compete for common pools of microRNA (miRNA) molecules. These competing endogenous RNAs (ceRNAs), or natural miRNA sponges, have an active role in regulating miRNA availability within the cell and form intertwined regulatory networks. Recent reports have implicated diverse RNA species including protein-coding messenger RNAs and non-coding RNAs as ceRNAs in human development and diseases including human cancer. In this review, we discuss the most recent discoveries that implicate natural miRNA decoys in human cancer biology, as well as exciting advances in the study of ceRNA networks and dynamics. The structure and topology of intricate genome-scale ceRNA networks can be predicted computationally, and their dynamic response to fluctuations in ceRNA and miRNA levels can be studied via mathematical modeling. Additionally, the development of new methods to quantitatively determine absolute expression levels of miRNA and ceRNA molecules have expanded the capacity to accurately study the efficiency of ceRNA crosstalk in diverse biological models. These major milestones are of critical importance to identify key components of ceRNA regulatory networks that could aid the development of new approaches to cancer diagnostics and oligonucleotide-based therapeutics.
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影响因子：
48
作者：
Gentner, Bernhard;Schira, Giulia;Naldini, Luigi
通讯作者：
Naldini, Luigi
影响因子：
5.6
作者：
Buchler, Nicolas E.;Louis, Matthieu
通讯作者：
Louis, Matthieu
影响因子：
3.4
作者：
Figliuzzi, Matteo;De Martino, Andrea;Marinari, Enzo
通讯作者：
Marinari, Enzo
DOI：
10.1126/science.1187197
发表时间：
2010-06-18
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Cazalla D;Yario T;Steitz JA
通讯作者：
Steitz JA
影响因子：
48
作者：
Ebert, Margaret S.;Neilson, Joel R.;Sharp, Phillip A.
通讯作者：
Sharp, Phillip A.