Affiliation:
1. Department of Chemistry, The University of Texas at Austin, Austin TX 78712
2. School of Pharmacy, University of Nottingham, NG7 2rD, United Kingdom
3. Department of Physics, The University of Texas at Austin, Austin TX 78712
Abstract
Low-complexity nucleotide repeat sequences, which are implicated in several neurological disorders, undergo liquid–liquid phase separation (LLPS) provided the number of repeat units,
n
, exceeds a critical value. Here, we establish a link between the folding landscapes of the monomers of trinucleotide repeats and their propensity to self-associate. Simulations using a coarse-grained Self-Organized Polymer (SOP) model for (CAG)
n
repeats in monovalent salt solutions reproduce experimentally measured melting temperatures, which are available only for small
n
. By extending the simulations to large
n
, we show that the free-energy gap,
ΔG
S
, between the ground state (GS) and slipped hairpin (SH) states is a predictor of aggregation propensity. The GS for even
n
is a perfect hairpin (PH), whereas it is a SH when
n
is odd. The value of
ΔG
S
(zero for odd
n
) is larger for even
n
than for odd
n
. As a result, the rate of dimer formation is slower in (CAG)
30
relative to (CAG)
31
, thus linking
ΔG
S
to RNA–RNA association. The yield of the dimer decreases dramatically, compared to the wild type, in mutant sequences in which the population of the SH decreases substantially. Association between RNA chains is preceded by a transition to the SH even if the GS is a PH. The finding that the excitation spectrum—which depends on the exact sequence,
n
, and ionic conditions—is a predictor of self-association should also hold for other RNAs (mRNA for example) that undergo LLPS.
Funder
National Science Foundation
Welch
Publisher
Proceedings of the National Academy of Sciences
Cited by
7 articles.
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