{CpG} content-dependent associations between transcription factors and histone modifications
| Autor: | Marcel H. Schulz, Jörn Walter, Fatemeh Behjati Ardakani, Kathrin Kattler, Jonas Fischer |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Cell biology
Science Computational biology Biology Biochemistry Models Biological Promoter Regions Histones Transcription (biology) Cell Line Tumor DNA-binding proteins Genetics Humans Gene Regulation natural sciences Epigenetics Gene Transcription factor Regulation of gene expression DNA methylation Multidisciplinary Biology and life sciences Proteins Histone Modification Promoter DNA Chromatin Nucleic acids Histone Gene Expression Regulation CpG site biology.protein Chromatin Immunoprecipitation Sequencing Medicine CpG Islands Gene expression DNA modification Protein Processing Post-Translational Chromatin modification Research Article Chromosome biology Transcription Factors |
| Zdroj: | PLoS ONE, Vol 16, Iss 4, p e0249985 (2021) PLoS One PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | Understanding the factors that underlie the epigenetic regulation of genes is crucial to understand the gene regulatory machinery as a whole. Several experimental and computational studies examined the relationship between different factors involved. Here we investigate the relationship between transcription factors (TFs) and histone modifications (HMs), based on ChIP-seq data in cell lines. As it was shown that gene regulation by TFs differs depending on the CpG class of a promoter, we study the impact of the CpG content in promoters on the associations between TFs and HMs. We suggest an approach based on sparse linear regression models to infer associations between TFs and HMs with respect to CpG content. A study of the partial correlation of HMs for the two classes of high and low CpG content reveals possible CpG dependence and potential candidates for confounding factors in our models. We show that the models are accurate, inferred associations reflect known biological relationships, and we give new insight into associations with respect to CpG content. Moreover, analysis of a ChIP-seq dataset in HepG2 cells of the HM H3K122ac, an HM about little is known, reveals novel TF associations and supports a previously established link to active transcription. |
| Databáze: | OpenAIRE |
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