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Nonlinear control of transcription through enhancer-promoter interactions

Jessica Zuin, Gregory Roth, Yinxiu Zhan, Julie Cramard, Josef Redolfi, Ewa Piskadlo, Pia Mach, Mariya Kryzhanovska, Gergely Tihanyi, Hubertus Kohler, View ORCID ProfilePeter Meister, Sebastien Smallwood, Luca Giorgetti
doi: https://doi.org/10.1101/2021.04.22.440891
Jessica Zuin
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Gregory Roth
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Yinxiu Zhan
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Julie Cramard
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Josef Redolfi
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Ewa Piskadlo
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Pia Mach
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
2University of Basel, Basel, Switzerland
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Mariya Kryzhanovska
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Gergely Tihanyi
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
2University of Basel, Basel, Switzerland
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Hubertus Kohler
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Peter Meister
3Institute for Cell Biology, University of Bern, Bern, Switzerland
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  • ORCID record for Peter Meister
Sebastien Smallwood
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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Luca Giorgetti
1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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  • For correspondence: luca.giorgetti@fmi.ch
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Abstract

Chromosome structure in mammals is thought to regulate transcription by modulating the three-dimensional interactions between enhancers and promoters, notably through CTCF-mediated interactions and topologically associating domains (TADs)1–4. However, how chromosome interactions are actually translated into transcriptional outputs remains unclear. To address this question we use a novel assay to position an enhancer at a large number of densely spaced chromosomal locations relative to a fixed promoter, and measure promoter output and interactions within a genomic region with minimal regulatory and structural complexity. Quantitative analysis of hundreds of cell lines reveal that the transcriptional effect of an enhancer depends on its contact probabilities with the promoter through a non-linear relationship. Mathematical modeling and validation against experimental data further provide evidence that nonlinearity arises from transient enhancer-promoter interactions being memorized into longer-lived promoter states in individual cells, thus uncoupling the temporal dynamics of interactions from those of transcription. This uncovers a potential mechanism for how enhancers control transcription across large genomic distances despite rarely meeting their target promoters, and for how TAD boundaries can block distal enhancers. We finally show that enhancer strength additionally determines not only absolute transcription levels, but also the sensitivity of a promoter to CTCF-mediated functional insulation. Our unbiased, systematic and quantitative measurements establish general principles for the context-dependent role of chromosome structure in long-range transcriptional regulation.

Competing Interest Statement

The authors have declared no competing interest.

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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 4.0 International license.
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Posted April 22, 2021.
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Nonlinear control of transcription through enhancer-promoter interactions
Jessica Zuin, Gregory Roth, Yinxiu Zhan, Julie Cramard, Josef Redolfi, Ewa Piskadlo, Pia Mach, Mariya Kryzhanovska, Gergely Tihanyi, Hubertus Kohler, Peter Meister, Sebastien Smallwood, Luca Giorgetti
bioRxiv 2021.04.22.440891; doi: https://doi.org/10.1101/2021.04.22.440891
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Nonlinear control of transcription through enhancer-promoter interactions
Jessica Zuin, Gregory Roth, Yinxiu Zhan, Julie Cramard, Josef Redolfi, Ewa Piskadlo, Pia Mach, Mariya Kryzhanovska, Gergely Tihanyi, Hubertus Kohler, Peter Meister, Sebastien Smallwood, Luca Giorgetti
bioRxiv 2021.04.22.440891; doi: https://doi.org/10.1101/2021.04.22.440891

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