Wang Ying, Li Xiaoman, Hu Haiyan
Department of Electric Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA.
Burnett School of Biomedical Science, University of Central Florida, Orlando, FL 32816, USA.
Genomics. 2014 Feb-Mar;103(2-3):222-8. doi: 10.1016/j.ygeno.2014.02.002. Epub 2014 Feb 12.
Histone modification (HM) patterns are widely applied to identify transcription factor binding regions (TFBRs). However, how frequently the TFBRs overlap with genomic regions enriched with certain types of HMs and which HM marker is more effective to pinpoint the TFBRs have not been systematically investigated. To address these problems, we studied 149 transcription factor (TF) ChIP-seq datasets and 33 HM ChIP-seq datasets in three cell lines. We found that on average about 90% of the TFBRs overlap with the H3K4me2-enriched regions. Moreover, the H3K4me2-enriched regions with stronger signals of H3K4me2 enrichment more likely overlap with the TFBRs than those with weaker signals. In addition, we showed that the H3K4me2-enriched regions together with the H3K27ac-enriched regions can greatly reduce false positive predictions of the TFBRs. Our study sheds light on the comprehensive discovery of the TFBRs using the HeK4me-enriched regions, especially when no good antibody to a TF exists.
组蛋白修饰(HM)模式被广泛应用于识别转录因子结合区域(TFBR)。然而,TFBR与富含某些类型HM的基因组区域重叠的频率以及哪种HM标记物在精准定位TFBR方面更有效,尚未得到系统研究。为了解决这些问题,我们研究了三种细胞系中的149个转录因子(TF)ChIP-seq数据集和33个HM ChIP-seq数据集。我们发现,平均约90%的TFBR与富含H3K4me2的区域重叠。此外,H3K4me2富集信号较强的富含H3K4me2的区域比信号较弱的区域更有可能与TFBR重叠。此外,我们还表明,富含H3K4me2的区域与富含H3K27ac的区域一起可以大大减少TFBR的假阳性预测。我们的研究为利用富含HeK4me的区域全面发现TFBR提供了线索,特别是在没有针对TF的良好抗体时。