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Chromatin information content landscapes inform transcription factor and DNA interactions

View ORCID ProfileRicardo D’Oliveira Albanus, Yasuhiro Kyono, John Hensley, View ORCID ProfileArushi Varshney, Peter Orchard, Jacob O. Kitzman, View ORCID ProfileStephen C. J. Parker
doi: https://doi.org/10.1101/777532
Ricardo D’Oliveira Albanus
1Department of Computational Medicine & Bioinformatics, University of Michigan. Ann Arbor, USA
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  • ORCID record for Ricardo D’Oliveira Albanus
Yasuhiro Kyono
1Department of Computational Medicine & Bioinformatics, University of Michigan. Ann Arbor, USA
2Department of Human Genetics, University of Michigan. Ann Arbor, USA
3Tempus Labs, Inc. Chicago, IL, Chicago, USA
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John Hensley
1Department of Computational Medicine & Bioinformatics, University of Michigan. Ann Arbor, USA
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Arushi Varshney
1Department of Computational Medicine & Bioinformatics, University of Michigan. Ann Arbor, USA
2Department of Human Genetics, University of Michigan. Ann Arbor, USA
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Peter Orchard
1Department of Computational Medicine & Bioinformatics, University of Michigan. Ann Arbor, USA
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Jacob O. Kitzman
1Department of Computational Medicine & Bioinformatics, University of Michigan. Ann Arbor, USA
2Department of Human Genetics, University of Michigan. Ann Arbor, USA
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Stephen C. J. Parker
1Department of Computational Medicine & Bioinformatics, University of Michigan. Ann Arbor, USA
2Department of Human Genetics, University of Michigan. Ann Arbor, USA
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  • ORCID record for Stephen C. J. Parker
  • For correspondence: scjp@umich.edu
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Abstract

Interactions between transcription factors (TFs) and chromatin are fundamental to genome organization and regulation and, ultimately, cell state. Here, we use information theory to measure signatures of TF-chromatin interactions encoded in the patterns of the accessible genome, which we call chromatin information enrichment (CIE). We calculate CIE for hundreds of TF motifs across human tissues and identify two classes: low and high CIE. The 10-20% of TF motifs with high CIE associate with higher protein-DNA residence time, including different binding sites subclasses of the same TF, increased nucleosome phasing, specific protein domains, and the genetic control of both gene expression and chromatin accessibility. These results show that variations in the information content of chromatin architecture reflect functional biological variation, with implications for cell state dynamics and memory.

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  • https://github.com/ParkerLab/chromatin_information

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 26, 2019.
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Chromatin information content landscapes inform transcription factor and DNA interactions
Ricardo D’Oliveira Albanus, Yasuhiro Kyono, John Hensley, Arushi Varshney, Peter Orchard, Jacob O. Kitzman, Stephen C. J. Parker
bioRxiv 777532; doi: https://doi.org/10.1101/777532
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Chromatin information content landscapes inform transcription factor and DNA interactions
Ricardo D’Oliveira Albanus, Yasuhiro Kyono, John Hensley, Arushi Varshney, Peter Orchard, Jacob O. Kitzman, Stephen C. J. Parker
bioRxiv 777532; doi: https://doi.org/10.1101/777532

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