Heinäniemi Merja, Uski J Oskari, Degenhardt Tatjana, Carlberg Carsten
Department of Biochemistry, University of Kuopio, FIN-70211 Kuopio, Finland.
Genome Biol. 2007;8(7):R147. doi: 10.1186/gb-2007-8-7-r147.
Peroxisome proliferator-activated receptors (PPARs) are known for their critical role in the development of diseases, such as obesity, cardiovascular disease, type 2 diabetes and cancer. Here, an in silico screening method is presented, which incorporates experiment- and informatics-derived evidence, such as DNA-binding data of PPAR subtypes to a panel of PPAR response elements (PPREs), PPRE location relative to the transcription start site (TSS) and PPRE conservation across multiple species, for more reliable prediction of PPREs.
In vitro binding and in vivo functionality evidence agrees with in silico predictions, validating the approach. The experimental analysis of 30 putative PPREs in eight validated PPAR target genes indicates that each gene contains at least one functional, strong PPRE that occurs without positional bias relative to the TSS. An extended analysis of the cross-species conservation of PPREs reveals limited conservation of PPRE patterns, although PPAR target genes typically contain strong or multiple medium strength PPREs. Human chromosome 19 was screened using this method, with validation of six novel PPAR target genes.
An in silico screening approach is presented, which allows increased sensitivity of PPAR binding site and target gene detection.
过氧化物酶体增殖物激活受体(PPARs)在肥胖、心血管疾病、2型糖尿病和癌症等疾病的发生发展中起着关键作用,这是众所周知的。在此,我们提出一种计算机模拟筛选方法,该方法整合了实验和信息学衍生的证据,如PPAR亚型与一组PPAR反应元件(PPREs)的DNA结合数据、PPRE相对于转录起始位点(TSS)的位置以及跨多个物种的PPRE保守性,以更可靠地预测PPREs。
体外结合和体内功能证据与计算机模拟预测结果一致,验证了该方法。对八个已验证的PPAR靶基因中的30个假定PPREs进行的实验分析表明,每个基因至少包含一个功能性强的PPRE,其相对于TSS没有位置偏差。对PPREs跨物种保守性的扩展分析表明,尽管PPAR靶基因通常包含强或多个中等强度的PPREs,但PPRE模式的保守性有限。使用该方法对人类19号染色体进行筛选,验证了六个新的PPAR靶基因。
提出了一种计算机模拟筛选方法,该方法可提高PPAR结合位点和靶基因检测的灵敏度。