Jin Victor X, O'Geen Henriette, Iyengar Sushma, Green Roland, Farnham Peggy J
Department of Pharmacology and the Genome Center, University of California-Davis, Davis, California 95616, USA.
Genome Res. 2007 Jun;17(6):807-17. doi: 10.1101/gr.6006107.
ChIP-chip studies have revealed that many in vivo binding sites have a weak match to the consensus sequence for the transcription factor being analyzed. Possible explanations for these observations include (1) the in vitro-derived consensus site does not represent the in vivo binding site and/or (2) the factor is recruited to a weak binding site via interaction with another protein. To address these possibilities, we developed an approach (ChIPMotifs) that incorporates a bootstrap resampling method to statistically infer the optimal cutoff threshold for a position weight matrix (PWM) of a motif identified from ChIP-chip data by ab initio motif discovery programs. Using OCT4 ChIP-chip data and the ChIPMotifs approach, we first developed a refined OCT4 PWM. We then used the refined PWM and a ChIPModules approach to identify transcription factors colocalizing with OCT4 in Ntera2 testicular embryonal carcinoma cells. We found that the consensus binding site for SRY, a transcription factor critical for testis development, colocalizes with the OCT4 PWM. To further characterize the relationship between OCT4 and SRY, we performed ChIP-chip experiments with human promoter microarrays, and found that 49% of the top approximately 1000 OCT4 target promoters were also bound by SRY. This analysis represents the first identification of SRY target promoters. Interestingly, we determined that promoters bound by OCT4 and SRY, but not those bound by SRY alone, were also bound by the transcriptional repressor KAP1. Our studies not only validate the ChIPMotifs and ChIPModules combinatorial approach but also identify a possible new regulatory partner of OCT4.
染色质免疫沉淀芯片(ChIP-chip)研究表明,许多体内结合位点与所分析转录因子的共有序列匹配较弱。对这些观察结果的可能解释包括:(1)体外推导的共有位点并不代表体内结合位点,和/或(2)该因子通过与另一种蛋白质相互作用被招募到弱结合位点。为了探究这些可能性,我们开发了一种方法(ChIPMotifs),该方法结合了自助重采样方法,以统计推断从头基序发现程序从ChIP-chip数据中识别出的基序的位置权重矩阵(PWM)的最佳截止阈值。利用OCT4的ChIP-chip数据和ChIPMotifs方法,我们首先开发了一种优化的OCT4 PWM。然后,我们使用优化后的PWM和ChIPModules方法来鉴定在Ntera2睾丸胚胎癌细胞中与OCT4共定位的转录因子。我们发现,对睾丸发育至关重要的转录因子SRY的共有结合位点与OCT4 PWM共定位。为了进一步表征OCT4与SRY之间的关系,我们用人启动子微阵列进行了ChIP-chip实验,发现约前1000个OCT4靶启动子中49%也被SRY结合。该分析首次鉴定出SRY的靶启动子。有趣的是,我们确定,被OCT4和SRY结合的启动子,而非仅被SRY结合的启动子,也被转录抑制因子KAP1结合。我们的研究不仅验证了ChIPMotifs和ChIPModules组合方法,还鉴定出了OCT4一个可能的新调控伙伴。