Systematic Analysis of Long Noncoding RNAs in the Senescence-accelerated Mouse Prone 8 Brain Using RNA Sequencing.
Systematic Analysis of Long Noncoding RNAs in the Senescence-accelerated Mouse Prone 8 Brain Using RNA Sequencing.
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使用 RNA 测序对衰老加速的小鼠 Prone 8 大脑中的长非编码 RNA 进行系统分析
DOI：
10.1038/mtna.2016.57
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发表时间：
2016-08-02
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影响因子：
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Long noncoding RNAs (lncRNAs) may play an important role in Alzheimer's disease (AD) pathogenesis. However, despite considerable research in this area, the comprehensive and systematic understanding of lncRNAs in AD is still limited. The emergence of RNA sequencing provides a predictor and has incomparable advantage compared with other methods, including microarray. In this study, we identified lncRNAs in a 7-month-old mouse brain through deep RNA sequencing using the senescence-accelerated mouse prone 8 (SAMP8) and senescence-accelerated mouse resistant 1 (SAMR1) models. A total of 599,985,802 clean reads and 23,334 lncRNA transcripts were obtained. Then, we identified 97 significantly upregulated and 114 significantly downregulated lncRNA transcripts from all cases in SAMP8 mice relative to SAMR1 mice. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes analyses revealed that these significantly dysregulated lncRNAs were involved in regulating the development of AD from various angles, such as nerve growth factor term (GO: 1990089), mitogen-activated protein kinase signaling pathway, and AD pathway. Furthermore, the most probable AD-associated lncRNAs were predicted and listed in detail. Our study provided the systematic dissection of lncRNA profiling in SAMP8 mouse brain and accelerated the development of lncRNA biomarkers in AD. These attracting biomarkers could provide significant insights into AD therapy in the future.
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影响因子：
4
作者：
Lee, Doo Young;Moon, Jangsup;Chu, Kon
通讯作者：
Chu, Kon
影响因子：
3
作者：
Mistry J;Bateman A;Finn RD
通讯作者：
Finn RD
DOI：
10.1002/ajmg.b.10798
发表时间：
2003-01-01
影响因子：
2.8
作者：
Desai, PP;Hendrie, HC;Kamboh, MI
通讯作者：
Kamboh, MI
DOI：
10.1093/bioinformatics/btr209
发表时间：
2011-07-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Lin MF;Jungreis I;Kellis M
通讯作者：
Kellis M
影响因子：
4.8
作者：
Dong WG;Wang F;Chen Y;Zheng XH;Xie YC;Guo WQ;Shi H
通讯作者：
Shi H