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用于表征DNA-蛋白质相互作用的蛋白质结合微阵列。

Protein binding microarrays for the characterization of DNA-protein interactions.

作者信息

Bulyk Martha L

机构信息

Division of Genetics, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Harvard Medical School New Research Bldg., Room 466D, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.

出版信息

Adv Biochem Eng Biotechnol. 2007;104:65-85. doi: 10.1007/10_025.

Abstract

A number of important cellular processes, such as transcriptional regulation, recombination, replication, repair, and DNA modification, are performed by DNA binding proteins. Of particular interest are transcription factors (TFs) which, through their sequence-specific interactions with DNA binding sites, modulate gene expression in a manner required for normal cellular growth and differentiation, and also for response to environmental stimuli. Despite their importance, the DNA binding specificities of most DNA binding proteins still remain unknown, since prior technologies aimed at identifying DNA-protein interactions have been laborious, not highly scalable, or have required limiting biological reagents. Recently a new DNA microarray-based technology, termed protein binding microarrays (PBMs), has been developed that allows rapid, high-throughput characterization of the in vitro DNA binding site sequence specificities of TFs, other DNA binding proteins, or synthetic compounds. DNA binding site data from PBMs combined with gene annotation data, comparative sequence analysis, and gene expression profiling, can be used to predict what genes are regulated by a given TF, what the functions are of a given TF and its predicted target genes, and how that TF may fit into the cell's transcriptional regulatory network.

摘要

许多重要的细胞过程,如转录调控、重组、复制、修复和DNA修饰,都是由DNA结合蛋白来完成的。特别值得关注的是转录因子(TFs),它们通过与DNA结合位点的序列特异性相互作用,以正常细胞生长和分化所需的方式,以及对环境刺激作出反应所需的方式来调节基因表达。尽管它们很重要,但大多数DNA结合蛋白的DNA结合特异性仍然未知,因为之前旨在鉴定DNA-蛋白质相互作用的技术既费力、扩展性不强,又需要有限的生物试剂。最近,一种基于DNA微阵列的新技术,称为蛋白质结合微阵列(PBMs),已经被开发出来,它可以快速、高通量地表征TFs、其他DNA结合蛋白或合成化合物在体外的DNA结合位点序列特异性。来自PBMs的DNA结合位点数据与基因注释数据、比较序列分析和基因表达谱相结合,可以用来预测哪些基因受给定TF的调控,给定TF及其预测的靶基因的功能是什么,以及该TF如何融入细胞的转录调控网络。

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