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高通量方法推断的转录调控相互作用比较:它们揭示了什么?

Comparison of transcription regulatory interactions inferred from high-throughput methods: what do they reveal?

作者信息

Balaji S, Iyer Lakshminarayan M, Babu M Madan, Aravind L

机构信息

National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA.

出版信息

Trends Genet. 2008 Jul;24(7):319-23. doi: 10.1016/j.tig.2008.04.006.

Abstract

We compared the transcription regulatory interactions inferred from three high-throughput methods. Because these methods use different principles, they have few interactions in common, suggesting they capture distinct facets of the transcription regulatory program. We show that these methods uncover disparate biological phenomena: long-range interactions between telomeres and transcription factors, downstream effects of interference with ribosome biogenesis and a protein-aggregation response. Through a detailed analysis of the latter, we predict components of the system responding to protein-aggregation stress.

摘要

我们比较了从三种高通量方法推断出的转录调控相互作用。由于这些方法采用不同的原理,它们共同的相互作用很少,这表明它们捕捉到了转录调控程序的不同方面。我们表明,这些方法揭示了不同的生物学现象:端粒与转录因子之间的长程相互作用、干扰核糖体生物合成的下游效应以及蛋白质聚集反应。通过对后者的详细分析,我们预测了响应蛋白质聚集应激的系统组成部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0130/2768723/b2f7309ac3d7/nihms53750f1.jpg

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