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A comparative analysis of genome-wide chromatin immunoprecipitation data for mammalian transcription factors

机译:哺乳动物转录因子全基因组染色质免疫沉淀数据的比较分析

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摘要

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 issuesin 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.
机译:全基因组位置分析(ChIP芯片,ChIP-PET)是研究哺乳动物转录调控的强大技术。为了对生成的哺乳动物转录因子的定位数据和分析中的潜在问题有一个基本的了解,我们进行了一项八项独立的ChIP实验的比较研究,这些实验涉及人和小鼠中的六种不同的转录因子。据我们所知,我们的跨研究比较是第一个分析多个数据集的比较,揭示了精心选择的基因组控制在从头识别关键转录因子结合基序中的重要性,提出了有关普遍存在的序列基序的解释的问题,并证明了某些转录因子的蛋白结合区的聚集趋势。

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