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Data from: Diverse, distinct, and densely packed DNA nanostar droplets

Authors: Chaderjian, Aria S.; Saleh, Omar A.;

Data from: Diverse, distinct, and densely packed DNA nanostar droplets

Abstract

The liquid-liquid phase separation of biomolecules is an important process for intracellular organization. Biomolecular sequence combinatorics leads to a large variety of proteins and nucleic acids which can interact to form a diversity of dense liquid ('condensate') phases. The relationship between sequence design and the diversity of the resultant phases is therefore of interest. Here, we explore this question using the DNA nanostar system, which permits creation of multi-phase condensate droplets through sequence engineering of the sticky end bonds that drive particle-particle attraction. We explore the theoretical limits of nanostar phase diversity, then experimentally demonstrate the ability to create 9 distinct, non-adhering nanostar phases that do not share components. We further study how thermal processing affects the morphology and dynamics of such a highly diverse condensate system. We particularly show that a rapid temperature quench leads to the formation of a densely packed 2-D layer of droplets that is transiently stabilized by caging effects enabled by the phase diversity, leading to glassy dynamics, such as slow coarsening and dynamic heterogeneity. Generally, our work provides experimental insight into the thermodynamics of phase separation of complex mixtures, and demonstrates the rational engineering of complex, long-range, multi-phase droplet structures.

Funding provided by: W. M. Keck FoundationROR ID: https://ror.org/000dswa46Award Number: Funding provided by: Materials Research Science and Engineering CentersROR ID: https://ror.org/01qa5ep47Award Number: DMR 2308708

Keywords

DNA self-assembly, Liquid-liquid phase separation, biomolecular liquid, jammed system, glassy dynamics, condensate

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average