Genome-wide analysis of human microRNA stability.
Genome-wide analysis of human microRNA stability.
复制标题
人类 MicroRNA 稳定性的全基因组分析
DOI：
10.1155/2013/368975
复制
发表时间：
2013
影响因子：
--
通讯作者：
Cui Q
中科院分区：
文献类型：
--
作者：
Li Y;Li Z;Zhou S;Wen J;Geng B;Yang J;Cui Q
越来越多的研究表明，microRNA （miRNA）的稳定性在生理上起着重要的作用。然而，miRNA稳定性的全球图景在很大程度上仍然未知。在这里，我们使用miRNA阵列分析了10种不同细胞类型的全基因组miRNA稳定性。我们发现miRNA稳定性在单个细胞和不同细胞类型中都表现出高度的动态和多样性。引人注目的是，我们观察到miRNA稳定性与miRNA表达水平呈负相关，这与目前其他生物分子如蛋白质和mrna的稳定性与表达水平呈正相关而非负相关的研究结果不同。这一发现表明miRNA具有独特的作用模式，我们称之为“快速生产，快速周转；生产慢，周转慢。”这种模式进一步表明，高表达mirna通常降解速度快，并可能赋予细胞促进细胞状态转换的特殊性质。此外，我们发现miRNA的稳定性受到一系列因素的影响，包括miRNA靶点、转录因子、核苷酸含量、进化、相关疾病和环境因素。总之，我们的研究结果提供了对人类miRNA稳定性的全球景观、动态和独特模式的广泛描述，这有助于研究它们在生理和病理生理中的功能。
Increasing studies have shown that microRNA (miRNA) stability plays important roles in physiology. However, the global picture of miRNA stability remains largely unknown. Here, we had analyzed genome-wide miRNA stability across 10 diverse cell types using miRNA arrays. We found that miRNA stability shows high dynamics and diversity both within individual cells and across cell types. Strikingly, we observed a negative correlation between miRNA stability and miRNA expression level, which is different from current findings on other biological molecules such as proteins and mRNAs that show positive and not negative correlations between stability and expression level. This finding indicates that miRNA has a distinct action mode, which we called “rapid production, rapid turnover; slow production, slow turnover.” This mode further suggests that high expression miRNAs normally degrade fast and may endow the cell with special properties that facilitate cellular status-transition. Moreover, we revealed that the stability of miRNAs is affected by cohorts of factors that include miRNA targets, transcription factors, nucleotide content, evolution, associated disease, and environmental factors. Together, our results provided an extensive description of the global landscape, dynamics, and distinct mode of human miRNA stability, which provide help in investigating their functions in physiology and pathophysiology.
登录
查看更多内容
影响因子：
3
作者：
Lu M;Shi B;Wang J;Cao Q;Cui Q
通讯作者：
Cui Q
理解 microRNA 和环境因素的相互作用及其与人类疾病的关系
影响因子：
4.6
作者：
Qiu, Chengxiang;Chen, Geng;Cui, Qinghua
通讯作者：
Cui, Qinghua
影响因子：
14.9
作者：
Griffiths-Jones, S
通讯作者：
Griffiths-Jones, S
影响因子：
64.5
作者：
Krol, Jacek;Busskamp, Volker;Filipowicz, Witold
通讯作者：
Filipowicz, Witold
CERNA假设：隐藏RNA语言的Rosetta石头？
影响因子：
64.5
作者：
Salmena L;Poliseno L;Tay Y;Kats L;Pandolfi PP
通讯作者：
Pandolfi PP