Ji Hongkai, Vokes Steven A, Wong Wing H
Department of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138, USA.
Nucleic Acids Res. 2006;34(21):e146. doi: 10.1093/nar/gkl803. Epub 2006 Nov 7.
Genome-wide location analysis (ChIP-chip, ChIP-PET) is a powerful technique to study mammalian transcriptional regulation. In order to obtain a basic understanding of the location data generated for mammalian transcription factors and potential issues in their analysis, we conducted a comparative study of eight independent ChIP experiments involving six different transcription factors in human and mouse. Our cross-study comparisons, to the best of our knowledge the first to analyze multiple datasets, revealed the importance of carefully chosen genomic controls in the de novo identification of key transcription factor binding motifs, raised issues about the interpretation of ubiquitously occurring sequence motifs, and demonstrated the clustering tendency of protein-binding regions for certain transcription factors.
全基因组定位分析(染色质免疫沉淀芯片技术、染色质免疫沉淀配对末端标签测序技术)是研究哺乳动物转录调控的一项强大技术。为了对哺乳动物转录因子产生的定位数据及其分析中潜在的问题有一个基本的了解,我们对涉及人类和小鼠中六种不同转录因子的八个独立染色质免疫沉淀实验进行了比较研究。据我们所知,我们的跨研究比较是首次对多个数据集进行分析,它揭示了在从头识别关键转录因子结合基序时精心选择基因组对照的重要性,提出了关于普遍存在的序列基序解释的问题,并证明了某些转录因子的蛋白质结合区域的聚类趋势。