Evidence map›Paper›PMID 42179608›Full record

ArticleACS omega2026

The Effects of Chain Length and NaCl Concentration on Phase Separation and Morphology of Polylysine Complexes with tRNA and dsDNA.

Kimiasadat Mirlohi, Kavya Famolari, Whitney C Blocher McTigue

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Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kimiasadat MirlohiDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.ORCID https://orcid.org/0009-0003-7704-8053
Kavya FamolariIntegrated Engineering and Arts and Sciences program (IDEAS), Lehigh University, Bethlehem, Pennsylvania 18015, United States.
Whitney C Blocher McTigueDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.ORCID https://orcid.org/0000-0002-7809-6714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrostatic complexation between cationic polymers and nucleic acids underlies both fundamental biomolecular assemblies and emerging therapeutic technologies. Among these systems, polylysine/nucleic acid complexes provide a simple yet powerful model for probing how the molecular architecture and chain length dictate phase separation and salt-induced interactions. Despite extensive but separate studies on nucleic acid complexes and the effects of polymer length, the influence of polylysine chain length on phase behavior and morphology across different nucleic acids remains limited. Here, we systematically investigate complexes formed between poly-l-lysine (PLK) of defined lengths (30-800 residues) and three nucleic acid systems: baker's yeast tRNA (75-80 bp) and two length ranges of salmon sperm dsDNA (200-500 and ≤2000 bp). Using turbidity assays and optical microscopy, we examined phase separation and morphological transitions across a broad NaCl concentration range (0-1500 mM) and compared them to previous work. Our results show that the presence of single- and double-stranded nucleic acids strongly influences polymer complex stability and morphology in the presence of salt. The salt resistance was strongly influenced by the shortest polymer in the complex, though the length of the longer partner showed only subtle shifts in this critical salt value. The nucleic acid type further modulated outcomes: in the absence of added salt, dsDNA at all length ranges exclusively formed precipitates, whereas tRNA consistently formed coacervate droplets with all PLK variants. Interestingly, nucleic acid chain lengths below 100 showed phase transitions in the presence of salt before transitioning to a single-phase solution, whereas the longer dsDNA chains did not show a transition. However, dsDNA consistently transitioned from precipitates to coacervates, while tRNA transitioned from coacervates to precipitates. We note that even with systems of two short polymers, complexes remained phase-separated well beyond physiological ionic strength. Together, these findings further establish that the chain length and nucleic acid architecture are key determinants of polyelectrolyte complex morphology and stability across a range of ionic strengths. By linking molecular features to macroscopic behavior, this work provides design principles for engineering nucleic acid-polymer assemblies with tunable properties for biomaterials and therapeutic applications.

Identifiers

PMID42179608
PMCPMC13191486

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.