Transcriptional interference networks coordinate the expression of functionally related genes clustered in the same genomic loci.
Transcriptional interference networks coordinate the expression of functionally related genes clustered in the same genomic loci.
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DOI：
10.3389/fgene.2012.00122
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发表时间：
2012
影响因子：
3.7
通讯作者：
Boldogköi Z
中科院分区：
文献类型：
--
作者：
Boldogköi Z
基因表达的调节对于每种生命形式中生物系统的正常功能至关重要。基因表达主要在转录水平上受到控制，尤其是在起始阶段。非编码RNA是遗传调控各个层面的主要参与者之一，包括控制染色质组织、转录、各种转录后过程和翻译。在这项研究中，转录干扰网络（TIN）假说提出了试图解释的全球表达的反义RNA和串联基因簇的整体发生在各种生物系统的基因组中，从病毒到哺乳动物细胞。TIN假说表明存在一个新的遗传调控层，基于相邻基因在其重叠区域的转录机制之间的相互作用，这被认为在协调功能相关基因簇内的基因表达中起着重要作用。据称，相邻基因之间的转录重叠在基因组中比今天认为的要广泛得多。TIN假说的瀑布模型假设上游基因对串联排列的基因簇中下游基因的转录具有单向影响，而跷跷板模型则提出了相反方向基因之间基因表达的相互依赖性。TIN代表了一种自动调节系统，其具有精确定时和高度同步的基因表达级联，这些基因在功能上相互连接，物理上相互接近。在这项研究中，我们专注于疱疹病毒。其原因在于病毒基因的压缩性质，这使得基因之间的转录相互作用的严格调控和更容易的调查。然而，我相信相同或相似的原理也可以应用于细胞生物。
The regulation of gene expression is essential for normal functioning of biological systems in every form of life. Gene expression is primarily controlled at the level of transcription, especially at the phase of initiation. Non-coding RNAs are one of the major players at every level of genetic regulation, including the control of chromatin organization, transcription, various post-transcriptional processes, and translation. In this study, the Transcriptional Interference Network (TIN) hypothesis was put forward in an attempt to explain the global expression of antisense RNAs and the overall occurrence of tandem gene clusters in the genomes of various biological systems ranging from viruses to mammalian cells. The TIN hypothesis suggests the existence of a novel layer of genetic regulation, based on the interactions between the transcriptional machineries of neighboring genes at their overlapping regions, which are assumed to play a fundamental role in coordinating gene expression within a cluster of functionally linked genes. It is claimed that the transcriptional overlaps between adjacent genes are much more widespread in genomes than is thought today. The Waterfall model of the TIN hypothesis postulates a unidirectional effect of upstream genes on the transcription of downstream genes within a cluster of tandemly arrayed genes, while the Seesaw model proposes a mutual interdependence of gene expression between the oppositely oriented genes. The TIN represents an auto-regulatory system with an exquisitely timed and highly synchronized cascade of gene expression in functionally linked genes located in close physical proximity to each other. In this study, we focused on herpesviruses. The reason for this lies in the compressed nature of viral genes, which allows a tight regulation and an easier investigation of the transcriptional interactions between genes. However, I believe that the same or similar principles can be applied to cellular organisms too.