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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >UNDERSTANDING DISTAL TRANSCRIPTIONALREGULATION FROM SEQUENCE, EXPRESSIONAND INTERACTOME PERSPECTIVES
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UNDERSTANDING DISTAL TRANSCRIPTIONALREGULATION FROM SEQUENCE, EXPRESSIONAND INTERACTOME PERSPECTIVES

机译：从序列，表达和交互角度看待数字转录调控

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摘要

Gene regulation in eukaryotes involves a complex interplay between the proximal pro-moter and distal genomic elements (such as enhancers) which work in concert to driveprecise spatio-temporal gene expression. The experimental localization and characteri-zation of gene regulatory elements is a very complex and resource-intensive process. Thecomputational identification of regulatory regions that confer spatiotemporally specifictissue-restricted expression of a gene is thus an important challenge for computationalbiology. One of the most popular strategies for enhancer localization from DNA sequenceis the use of conservation-based prefiltering and more recently, the use of canonical (tran-scription factor motifs) or de novo tissue-specific sequence motifs. However, there is anongoing effort in the computational biology community to further improve the fidelity ofenhancer predictions from sequence data by integrating other, complementary genomicmodalities.
机译：真核生物中的基因调节涉及近端启动子和远端基因组元件（例如增强子）之间的复杂相互作用，这些相互作用共同作用以驱动精确的时空基因表达。基因调控元件的实验定位和表征是一个非常复杂且资源密集的过程。因此，赋予基因时空特异性组织限制性表达的调节区的计算鉴定是计算生物学的重要挑战。用于从DNA序列进行增强子定位的最流行策略之一是使用基于保守的预过滤，最近，使用规范（转录因子基序）或从头组织特异性序列基序。但是，计算生物学界正在通过整合其他互补的基因组模式，进一步改善来自序列数据的增强子预测的保真度。

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