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Histone modification levels are predictive for gene expression

机译:组蛋白修饰水平可预测基因表达

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摘要

Histones are frequently decorated with covalent modifications. These histone modifications are thought to be involved in various chromatin-dependent processes including transcription. To elucidate the relationship between histone modifications and transcription, we derived quantitative models to predict the expression level of genes from histone modification levels. We found that histone modification levels and gene expression are very well correlated. Moreover, we show that only a small number of histone modifications are necessary to accurately predict gene expression. We show that different sets of histone modifications are necessary to predict gene expression driven by high CpG content promoters (HCPs) or low CpG content promoters (LCPs). Quantitative models involving H3K4me3 and H3K79me1 are the most predictive of the expression levels in LCPs, whereas HCPs require H3K27ac and H4K20me1. Finally, we show that the connections between histone modifications and gene expression seem to be general, as we were able to predict gene expression levels of one cell type using a model trained on another one.
机译:组蛋白经常用共价修饰修饰。这些组蛋白修饰被认为与各种依赖染色质的过程有关,包括转录。为了阐明组蛋白修饰与转录之间的关系,我们推导了定量模型以根据组蛋白修饰水平预测基因的表达水平。我们发现,组蛋白修饰水平与基因表达非常相关。此外,我们表明,只有少量的组蛋白修饰才能准确预测基因表达。我们显示不同组的组蛋白修饰是必要的,以预测由高CpG含量启动子(HCP)或低CpG含量启动子(LCPs)驱动的基因表达。涉及H3K4me3和H3K79me1的定量模型最能预测LCP中的表达水平,而HCP需要H3K27ac和H4K20me1。最后,我们证明了组蛋白修饰与基因表达之间的联系似乎很普遍,因为我们能够使用在另一种细胞上训练的模型来预测一种细胞类型的基因表达水平。

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  • 作者单位

    Max-Planck-Institut fuer Molekulare Genetik, Department of Computational Molecular Biology, Ihnestrasse 73, 14195 Berlin, Germany Bioinformatics Group, Division of Biology, Faculty of Science, Zagreb University, Horvatovac 102a, 10000 Zagreb, Croatia;

    rnMax-Planck-Institut fuer Molekulare Genetik, Department of Computational Molecular Biology, Ihnestrasse 73, 14195 Berlin, Germany;

    rnMax-Planck-Institut fuer Molekulare Genetik, Department of Computational Molecular Biology, Ihnestrasse 73, 14195 Berlin, Germany;

    rnBioinformatics Group, Division of Biology, Faculty of Science, Zagreb University, Horvatovac 102a, 10000 Zagreb, Croatia Department of Informatics, University of Oslo, P.O. Box 1080, Blindern, NO-0316 Oslo, Norway;

    rnMax-Planck-Institut fuer Molekulare Genetik, Department of Computational Molecular Biology, Ihnestrasse 73, 14195 Berlin, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    high CpG content promoter; low CpG content promoter; regression analysis; transcription;

    机译:高CpG含量促进剂;低CpG含量促进剂;回归分析;抄写;
  • 入库时间 2022-08-18 00:41:17

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