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Uncovering the mechanism for aggregation in repeat expanded RNA reveals a reentrant transition

View ORCID ProfileOfer Kimchi, View ORCID ProfileElla M. King, Michael P. Brenner
doi: https://doi.org/10.1101/2022.05.12.491634
Ofer Kimchi
1Lewis-Sigler Institute, Princeton University, Princeton, New Jersey, 08544, USA
2Initiative for the Theoretical Sciences, Graduate Center, City University of New York, New York, NY 10016, USA
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  • ORCID record for Ofer Kimchi
  • For correspondence: okimchi@princeton.edu
Ella M. King
3Physics Department, Harvard University, Cambridge, MA, 02138, USA
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Michael P. Brenner
3Physics Department, Harvard University, Cambridge, MA, 02138, USA
4School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
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Abstract

Repeat expanded RNA molecules aggregate under certain conditions both in vitro and in vivo. Understanding the mechanism for aggregation—including how aggregation properties change with sequence and environmental conditions—would explain and predict the behavior of RNA-based biomolecular condensates, and enable the rational design of RNA-based materials. Here, we introduce an analytical framework to predict aggregation for any repeat RNA sequence, accounting for both intra- and inter-molecular bonding. By enumerating the equilibrium landscape of multimers, we reveal the driving force for aggregation: the increased configurational entropy associated with the multiplicity of ways to form bonds in the aggregate. Our model uncovers rich phase behavior, including a sequence-dependent reentrant phase transition, and repeat parity-dependent aggregation. We validate our results by comparison to a complete computational enumeration of the landscape, and to previously published molecular dynamics simulations. Our work unifies and extends published results, and enables the design of programmable RNA condensates.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
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 May 12, 2022.
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Uncovering the mechanism for aggregation in repeat expanded RNA reveals a reentrant transition
Ofer Kimchi, Ella M. King, Michael P. Brenner
bioRxiv 2022.05.12.491634; doi: https://doi.org/10.1101/2022.05.12.491634
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Uncovering the mechanism for aggregation in repeat expanded RNA reveals a reentrant transition
Ofer Kimchi, Ella M. King, Michael P. Brenner
bioRxiv 2022.05.12.491634; doi: https://doi.org/10.1101/2022.05.12.491634

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