CircRNA accumulation in the aging mouse brain.
CircRNA accumulation in the aging mouse brain.
复制标题
DOI：
10.1038/srep38907
复制
发表时间：
2016-12-13
影响因子：
4.6
通讯作者：
Miura P
中科院分区：
文献类型：
--
作者：
Gruner H;Cortés-López M;Cooper DA;Bauer M;Miura P
环状RNAs(CircRNAs)是一类新发现的跨不同门的RNAs。这些神秘的转录本最常见的是通过蛋白质编码基因外显子的反向剪接事件产生的。由于缺少自由的5‘和3’端，这导致了高度稳定的RNA。CircRNAs在神经组织中含量丰富，这表明它们可能具有神经功能。在这里，我们试图确定CircRNA在小鼠衰老过程中是否发生积累。对青年(1月龄)和老年(22月龄)的大脑皮质、海马体和心脏样本进行总RNA-seq谱分析。这导致在这些样本中确信检测到6791个不同的CircRNA，其中包括675个新的CircRNA。分析发现，在神经组织的衰老过程中，CircRNA上调存在强烈的倾向性。通过RT-qPCR和Northern分析证实了这些个体CircRNA的年龄积累趋势。相比之下，对老年人和年轻人心脏的比较未能揭示CircRNA上调的全球趋势。脑组织中CircRNAs的年龄积累被发现在很大程度上独立于宿主基因的线性RNA表达。这些发现表明，CircRNAs可能在神经系统老化过程中发挥生物学作用。
Circular RNAs (circRNAs) are a newly appreciated class of RNAs expressed across diverse phyla. These enigmatic transcripts are most commonly generated by back-splicing events from exons of protein-coding genes. This results in highly stable RNAs due to the lack of free 5′ and 3′ ends. CircRNAs are enriched in neural tissues, suggesting that they might have neural functions. Here, we sought to determine whether circRNA accumulation occurs during aging in mice. Total RNA-seq profiling of young (1 month old) and aged (22 month old) cortex, hippocampus and heart samples was performed. This led to the confident detection of 6,791 distinct circRNAs across these samples, including 675 novel circRNAs. Analysis uncovered a strong bias for circRNA upregulation during aging in neural tissues. These age-accumulation trends were verified for individual circRNAs by RT-qPCR and Northern analysis. In contrast, comparison of aged versus young hearts failed to reveal a global trend for circRNA upregulation. Age-accumulation of circRNAs in brain tissues was found to be largely independent from linear RNA expression of host genes. These findings suggest that circRNAs might play biological roles relevant to the aging nervous system.
登录
查看更多内容
影响因子：
14.9
作者：
Danan M;Schwartz S;Edelheit S;Sorek R
通讯作者：
Sorek R
影响因子：
34.7
作者：
Morrison, John H.;Baxter, Mark G.
通讯作者：
Baxter, Mark G.
影响因子：
48
作者：
Langmead, Ben;Salzberg, Steven L.
通讯作者：
Salzberg, Steven L.
影响因子：
4.6
作者：
Bachmayr-Heyda A;Reiner AT;Auer K;Sukhbaatar N;Aust S;Bachleitner-Hofmann T;Mesteri I;Grunt TW;Zeillinger R;Pils D
通讯作者：
Pils D
影响因子：
3.5
作者：
Chiurchiu, Valerio;Maccarrone, Mauro;Orlacchio, Antonio
通讯作者：
Orlacchio, Antonio