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基于第一性原理方法的 CTCF 结合位点预测及比较分析。

Prediction and comparative analysis of CTCF binding sites based on a first principle approach.

机构信息

Department of Basic Science, Universidade Federal Fluminense, Rua Doutor Sílvio Henrique Braune 22, Centro, 28625-650 Nova Friburgo, Brazil.

Institute for Theoretical Physics, Heidelberg University, Philosophenweg 19, D-69120 Heidelberg, Germany.

出版信息

Phys Biol. 2022 Apr 6;19(3). doi: 10.1088/1478-3975/ac5dca.

Abstract

We calculated the patterns for the CCCTC transcription factor (CTCF) binding sites across many genomes on a first principle approach. The validation of the first principle method was done on the human as well as on the mouse genome. The predicted human CTCF binding sites are consistent with the consensus sequence, ChIP-seq data for the K562 cell, nucleosome positions for IMR90 cell as well as the CTCF binding sites in the mouse HOXA gene. The analysis of,,,andwhole genomes shows: binding sites are organized in cluster-like groups, where two consecutive sites obey a power-law with coefficient ranging from 0.3292 ± 0.0068 to 0.5409 ± 0.0064; the distance between these groups varies from 18.08 ± 0.52 kbp to 42.1 ± 2.0 kbp. The genome ofdoes not show a power law, but 19.9% of binding sites are 144 ± 4 and 287 ± 5 bp distant of each other. We run negative tests, confirming the under-representation of CTCF binding sites in, Plasmodium falciparum andcomplete genomes.

摘要

我们基于第一性原理方法计算了许多基因组中 CCCTC 转录因子 (CTCF) 结合位点的模式。该方法的验证是在人类和小鼠基因组上进行的。预测的人类 CTCF 结合位点与共识序列、K562 细胞的 ChIP-seq 数据、IMR90 细胞的核小体位置以及小鼠 HOXA 基因中的 CTCF 结合位点一致。对人类、、和全基因组的分析表明:结合位点以簇状群的形式组织,其中两个连续的位点服从幂律,系数范围为 0.3292 ± 0.0068 至 0.5409 ± 0.0064;这些簇之间的距离从 18.08 ± 0.52 kbp 到 42.1 ± 2.0 kbp 不等。的基因组不显示幂律,但 19.9%的结合位点彼此相距 144 ± 4 和 287 ± 5 bp。我们进行了负测试,证实了 CTCF 结合位点在、疟原虫和完整基因组中的代表性不足。

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