Ragoussis Jiannis, Field Simon, Udalova Irina A
Wellcome Trust Center for Human Genetics, University of Oxford, Oxford, UK.
Methods Mol Biol. 2006;338:261-80. doi: 10.1385/1-59745-097-9:261.
Recent studies on genome-wide localization of transcription factor (TF) binding to DNA have shown that a large proportion of identified sequences do not contain consensus motifs predicted by databases of transcription factor binding sites, such as TRANSFAC. The main limitation of these databases is that they are based on a literature search of published examples of binding; consequently the data are not from a systematic survey and may be subject to sampling biases if investigators focused on particular motifs. Thus, there is an urgent need for systematic profiling of vertebrate transcription factor binding to DNA. We have developed a high-throughput platform for the quantitative analysis of protein-DNA interactions based on microarray technology.
近期关于转录因子(TF)与DNA全基因组定位的研究表明,很大一部分已鉴定出的序列并不包含转录因子结合位点数据库(如TRANSFAC)所预测的共有基序。这些数据库的主要局限性在于,它们是基于对已发表的结合实例的文献搜索;因此,数据并非来自系统的调查,如果研究人员专注于特定基序,可能会存在抽样偏差。因此,迫切需要对脊椎动物转录因子与DNA的结合进行系统分析。我们基于微阵列技术开发了一个用于蛋白质-DNA相互作用定量分析的高通量平台。