Liu Jiangang, Perumal Narayanan B, Oldfield Christopher J, Su Eric W, Uversky Vladimir N, Dunker A Keith
School of Informatics, Indiana University-Purdue University Indianapolis, 535 West Michigan Street, Indianapolis, Indiana 46202, USA.
Biochemistry. 2006 Jun 6;45(22):6873-88. doi: 10.1021/bi0602718.
Intrinsic disorder (ID) is highly abundant in eukaryotes, which reflect the greater need for disorder-associated signaling and transcriptional regulation in nucleated cells. Although several well-characterized examples of intrinsically disordered proteins in transcriptional regulation have been reported, no systematic analysis has been reported so far. To test for the general prevalence of intrinsic disorder in transcriptional regulation, we used the predictor of natural disorder regions (PONDR) to analyze the abundance of intrinsic disorder in three transcription factor datasets and two control sets. This analysis revealed that from 94.13 to 82.63% of transcription factors possess extended regions of intrinsic disorder, relative to 54.51 and 18.64% of the proteins in two control datasets, which indicates the significant prevalence of intrinsic disorder in transcription factors. This propensity of transcription factors to intrinsic disorder was confirmed by cumulative distribution function analysis and charge-hydropathy plots. The amino acid composition analysis showed that all three transcription factor datasets were substantially depleted in order-promoting residues and significantly enriched in disorder-promoting residues. Our analysis of the distribution of disorder within the transcription factor datasets revealed that (a) the AT-hooks and basic regions of transcription factor DNA-binding domains are highly disordered; (b) the degree of disorder in transcription factor activation regions is much higher than that in DNA-binding domains; (c) the degree of disorder is significantly higher in eukaryotic transcription factors than in prokaryotic transcription factors; and (d) the level of alpha-MoRF (molecular recognition feature) prediction is much higher in transcription factors. Overall, our data reflected the fact that eukaryotes with well-developed gene transcription machinery require transcription factor flexibility to be more efficient.
内在无序(ID)在真核生物中高度丰富,这反映了有核细胞中对无序相关信号传导和转录调控的更大需求。尽管已经报道了转录调控中几个特征明确的内在无序蛋白实例,但迄今为止尚未有系统分析的报道。为了测试内在无序在转录调控中的普遍存在性,我们使用天然无序区域预测器(PONDR)来分析三个转录因子数据集和两个对照组中内在无序的丰度。该分析表明,相对于两个对照数据集中分别为54.51%和18.64%的无序蛋白,94.13%至82.63%的转录因子具有延伸的内在无序区域,这表明内在无序在转录因子中显著普遍存在。转录因子对内在无序的这种倾向通过累积分布函数分析和电荷 - 亲水性图得到了证实。氨基酸组成分析表明,所有三个转录因子数据集在促进有序的残基上显著减少,在促进无序的残基上显著富集。我们对转录因子数据集中无序分布的分析表明:(a)转录因子DNA结合结构域的AT钩和碱性区域高度无序;(b)转录因子激活区域的无序程度远高于DNA结合结构域;(c)真核生物转录因子的无序程度显著高于原核生物转录因子;(d)转录因子中α-MoRF(分子识别特征)预测水平更高。总体而言,我们的数据反映了一个事实,即具有完善基因转录机制的真核生物需要转录因子具有更大的灵活性才能更高效。