Genomic sequence is highly predictive of local nucleosome depletion.
Genomic sequence is highly predictive of local nucleosome depletion.
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基因组序列高度预测了局部核小体耗竭。
DOI:
10.1371/journal.pcbi.0040013
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发表时间:
2008-01
影响因子:
4.3
通讯作者:
Liu JS
中科院分区:
文献类型:
--
作者:
Yuan GC;Liu JS
The regulation of DNA accessibility through nucleosome positioning is important for transcription control. Computational models have been developed to predict genome-wide nucleosome positions from DNA sequences, but these models consider only nucleosome sequences, which may have limited their power. We developed a statistical multi-resolution approach to identify a sequence signature, called the N-score, that distinguishes nucleosome binding DNA from non-nucleosome DNA. This new approach has significantly improved the prediction accuracy. The sequence information is highly predictive for local nucleosome enrichment or depletion, whereas predictions of the exact positions are only modestly more accurate than a null model, suggesting the importance of other regulatory factors in fine-tuning the nucleosome positions. The N-score in promoter regions is negatively correlated with gene expression levels. Regulatory elements are enriched in low N-score regions. While our model is derived from yeast data, the N-score pattern computed from this model agrees well with recent high-resolution protein-binding data in human. A eukaryotic genome is packaged into chromatin. The chromatin not only makes it possible to fit the relatively long genome into a tiny nucleus, but also plays an important regulatory role. The nucleosome is the fundamental repeating unit of chromatin. High-resolution tiling array experiments have shown that many nucleosomes are well-positioned in vivo, consistent with an important regulatory role. However, the mechanisms that determine nucleosome positioning are still poorly understood. We have developed a novel computational method for predicting nucleosome positions using only the genomic sequence information. The method detects periodic sequence signatures that discriminate nucleosome sequences from linker sequences. We show that this approach has significantly improved predictive power compared to previous studies. Interestingly, the most predictable regions tend to be located where stringent regulations are needed, i.e., the neighborhood of a transcription start site. This model predicts that nucleosome occupancy is not strongly controlled by short DNA sequence motifs but rather progressively controlled by regular organization of short elements into periodic patterns. We also provide evidence that sequence specificity for nucleosome binding is conserved from yeast to human.
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影响因子:
30.8
作者:
Ioshikhes, Ilya P.;Albert, Istvan;Pugh, B. Franklin
通讯作者:
Pugh, B. Franklin
DOI:
10.1073/pnas.94.4.1183
发表时间:
1997-02-18
影响因子:
11.1
作者:
Lowary, PT;Widom, J
通讯作者:
Widom, J
影响因子:
64.5
作者:
Kim, Tae Hoon;Abdullaev, Ziedulla K.;Ren, Bing
通讯作者:
Ren, Bing
影响因子:
64.5
作者:
Basehoar, AD;Zanton, SJ;Pugh, BF
通讯作者:
Pugh, BF
影响因子:
56.9
作者:
Dion, Michael F.;Kaplan, Tommy;Rando, Oliver J.
通讯作者:
Rando, Oliver J.