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Aierken, D.

Publications and source records attributed to Aierken, D..

4 recordsLinked to original sources

Interaction networks within biomolecular condensates feature topological cliques near the interface

Biomolecular condensates, including those formed by prion-like low complexity domains (LCDs) of proteins, are typically maintained by networks of molecular interactions. Such collective interactions give rise to the rich array of material behaviors underlying condensate function. Previous work has uncovered distinct LCD conformations in condensates versus dilute phases, and recently, single-component LCD condensates have been predicted to exhibit microstructures with "small-world" networks--where molecular nodes are highly clustered and connected via short pathlengths. However, a framework linking single-molecule properties, condensate microstructure, and macroscopic material properties remains elusive. Here, we combine molecular simulation and graph-theoretic analysis to reveal how molecular features encode condensate microstructure, which impacts molecule-scale conformations and droplet-scale material properties. Using a residue-resolution coarse-grained model, we probe condensates comprising natural LCD sequences and generalize our findings by varying composition and patterning in binary sequences of hydrophobic and polar residues. We show that non-blocky sequences form condensates with small-world internal networks featuring "hubs"--molecules responsible for global connectivity--and "cliques", molecular clusters bound by persistent short-ranged associations. Cliques localize near interfaces without a secondary phase transition, suggesting a role in mediating molecular partitioning and condensate aging by tuning interfacial material properties. Moreover, we demonstrate that network smallworldness predicts droplet surface tension. We also track single-molecule structure and dynamics inside condensates, revealing that internal heterogeneity at the single-molecule level is systematically encoded by network topology. Collectively, our work establishes multiscale structure-property relationships in LCD condensates, providing general principles for designing and interpreting condensates with complex internal organization and material properties.

biophysics↗

The Critical Role of the 2'-OH group in Phase Separation and Percolation Transitions of RNA

Mg2+ ion-dependent RNA liquid-liquid phase separation with lower critical solution temperatures is driven by the phosphate backbone and modulated by the solvation property of nucleobases. Here, we report a key role of the 2-OH group of the ribose sugar in RNA condensation in the presence of divalent cations. We show that 2-deoxyribose inhibits nucleic acid phase separation and suppresses the intra-condensate networking transition, known as percolation, that underlies condensate dynamical arrest. All-atom simulations reveal increased solvation and compaction of single-stranded DNA compared to RNA, suggesting an unintuitive role of chain flexibility in modulating heat-induced nucleic acid phase separation and percolation transitions. Further, 2-O-methylation (2-O-Me) of RNA, a common sugar modification, lowers the driving force of RNA phase transitions. These results highlight the diverse physicochemical parameters governing nucleic acid phase behavior and suggest how sugar modifications may have evolved to robustly tune the formation and dynamical arrest of RNA condensates.

biophysics↗

Biomolecular condensates control and are defined by RNA-RNA interactions that arise in viral replication

Cells must limit RNA-RNA interactions to avoid irreversible RNA entanglement. Cells may prevent deleterious RNA-RNA interactions by genome organization to avoid complementarity however, RNA viruses generate long, perfectly complementary antisense RNA during replication. How do viral RNAs avoid irreversible entanglement? One possibility is RNA sequestration into biomolecular condensates. To test this, we reconstituted critical SARS-CoV-2 RNA-RNA interactions in Nucleocapsid condensates. We observed that RNAs with low propensity RNA-RNA interactions resulted in more round, liquid-like condensates while those with high sequence complementarity resulted in more heterogeneous networked morphology independent of RNA structure stability. Residue-resolution molecular simulations and direct sequencing-based detection of RNA-RNA interactions support that these properties arise from degree of trans RNA contacts. We propose that extensive RNA-RNA interactions in cell and viral replication are controlled via a combination of genome organization, timing, RNA sequence content, RNA production ratios, and emergent biomolecular condensate material properties. Graphical Abstract: SARS-CoV-2 replication cycle employs weak and strong RNA-RNA interactions O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/630161v2_ufig1.gif" ALT="Figure 1000"> View larger version (32K): org.highwire.dtl.DTLVardef@1e75ad7org.highwire.dtl.DTLVardef@1fcda3aorg.highwire.dtl.DTLVardef@15b556eorg.highwire.dtl.DTLVardef@145b3b6_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Accelerated simulations of RNA phase separation:a systematic study of non-redundant tandem repeats

Under certain conditions, RNA repeat sequences phase separate yielding protein-free biomolecular condensates. Importantly, RNA repeat sequences have also been implicated in neurological disorders, such as Huntingtons Disease. Thus, mapping repeat sequences to their phase behavior, functions, and dysfunctions is an active area of research. However, despite several advances, it remains challenging to characterize the RNA phase behavior at submolecular resolution. Here, we have implemented a residue-resolution coarse-grained model in LAMMPS - that incorporates both RNA sequence and structure - to study the clustering propensities of protein-free RNA systems. Importantly, we achieve multifold speedup in the simulation time compared to previous work. Leveraging this efficiency, we study the clustering propensity of all 20 non-redundant trinucleotide repeat sequences. Our results align with findings from experiments, emphasizing that canonical base pairing and G-U wobble pairs play a dominant role in regulating cluster formation of RNA repeat sequences. Strikingly, we find strong entropic contributions to the stability and composition of RNA clusters, which is demonstrated for single-component RNA systems, as well as binary mixtures of trinucleotide repeats. Additionally, we investigate clustering behaviors of trinucleotide (odd) repeats and their quadranucleotide (even) counterparts. We observe that odd repeats exhibit stronger clustering tendencies, attributed to the presence of consecutive base pairs in their sequences that are disrupted in even repeat sequences. Altogether, our work extends the set of computational tools for probing RNA cluster formation at submolecular resolution and uncovers physicochemical principles that govern the stability and composition of resulting clusters.

biophysics↗