A Multi-Parameter Analysis of Cellular Coordination of Major Transcriptome Regulation Mechanisms.
A Multi-Parameter Analysis of Cellular Coordination of Major Transcriptome Regulation Mechanisms.
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DOI：
10.1038/s41598-018-24039-1
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发表时间：
2018-04-10
影响因子：
4.6
通讯作者：
Wang D
中科院分区：
文献类型：
--
作者：
Jiang W;Guo Z;Lages N;Zheng WJ;Feliers D;Zhang F;Wang D
为了了解多个转录组调节机制的细胞协调，我们同时测量了转录速率（TR）、mRNA丰度（RA）和翻译活性（TA）。这揭示了多方面的见解。首先，三个参数显示出系统的统计学差异。顺序更多的基因表现出极端（低或高）的表达值从TR RA，然后TA，也就是说，细胞协调的多个转录调控机制导致顺序增强基因表达的选择性作为遗传信息流从基因组到蛋白质组。其次，评估了翻译稳定调节机制对细胞协调过程的贡献。这些数据使得能够估计mRNA稳定性，揭示了mRNA稳定性和翻译活性之间的适度但显著的正相关性。第三，非翻译区（UTR）所占的mRNA的比例与这种相关性的水平呈负相关，因此是mRNA调控模式的主要决定因素。高UTR比例的mRNA倾向于无视翻译稳定化调节机制，留在多核糖体之外但保持稳定; UTR很少的mRNA主要遵循这种调节。总之，我们定量描述了多个转录组调控参数之间的关系，即，细胞协调相应的调节机制。
To understand cellular coordination of multiple transcriptome regulation mechanisms, we simultaneously measured transcription rate (TR), mRNA abundance (RA) and translation activity (TA). This revealed multiple insights. First, the three parameters displayed systematic statistical differences. Sequentially more genes exhibited extreme (low or high) expression values from TR to RA, and then to TA; that is, cellular coordination of multiple transcriptome regulatory mechanisms leads to sequentially enhanced gene expression selectivity as the genetic information flow from the genome to the proteome. Second, contribution of the stabilization-by-translation regulatory mechanism to the cellular coordination process was assessed. The data enabled an estimation of mRNA stability, revealing a moderate but significant positive correlation between mRNA stability and translation activity. Third, the proportion of mRNA occupied by un-translated regions (UTR) exhibited a negative relationship with the level of this correlation, and was thus a major determinant of the mode of regulation of the mRNA. High-UTR-proportion mRNAs tend to defy the stabilization-by-translation regulatory mechanism, staying out of the polysome but remaining stable; mRNAs with little UTRs largely followed this regulation. In summary, we quantitatively delineated the relationship among multiple transcriptome regulation parameters, i.e., cellular coordination of corresponding regulatory mechanisms.
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影响因子：
64.8
作者：
Jin, Fulai;Li, Yan;Dixon, Jesse R.;Selvaraj, Siddarth;Ye, Zhen;Lee, Ah Young;Yen, Chia-An;Schmitt, Anthony D.;Espinoza, Celso A.;Ren, Bing
通讯作者：
Ren, Bing
DOI：
10.1093/bioinformatics/btu638
发表时间：
2015-01-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Anders S;Pyl PT;Huber W
通讯作者：
Huber W
DOI：
10.1152/ajprenal.00271.2004
发表时间：
2005-03-01
影响因子：
4.2
作者：
Feliers, D;Duraisamy, S;Kasinath, BS
通讯作者：
Kasinath, BS
影响因子：
64.5
作者：
Hah N;Danko CG;Core L;Waterfall JJ;Siepel A;Lis JT;Kraus WL
通讯作者：
Kraus WL
影响因子：
7
作者：
Griffin, TJ;Gygi, SP;Aebersold, R
通讯作者：
Aebersold, R