2026-10-13T11:58:59Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34020621 2026-09-29T03:10:13Z category_1 category_4 category_146 category_915 category_7 category_13 category_14 category_19 category_21 category_873 category_734 portal_63 item_type_6 month_year_09_2026

Statistical, Block, and Gradient Copolymers Reveal Microstructure-Dependent Binding and Intracellular Delivery of Genome Editor Proteins Ram Prasad Sekar (19737263) Jessica L. Lawson (7522016) Alyson N. Camacho (19867672) Andrew Werneth (16405568) Kyra Jordan (18789242) Anoosha Paruchuri (15079929) Ramya Kumar (2847194) Biophysics Biochemistry Space Science Physical Sciences not elsewhere classified Medicine Genetics Molecular Biology Pharmacology Biotechnology Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified ∼ 50 nm underlying genetic basis synthesized compositionally equivalent rich sequence diversity nonhomologous end joining lipids still struggle identify design rules formed smaller (< chemical identity rather art commercial reagents base editor delivery mediated rnp delivery h </ sub canonical spcas9 rnps tailor bespoke polymers elucidate microstructure effects </ b >) defined block copolymers intracellular delivery rnp binding r </ >< sub work reveals structurally well stoichiometric n spatial arrangement repeat units polyplex sizes future investigations free rnps editing performance editing efficiency dependent trends dependent binding cure diseases cellular targets bound rnps bonding motifs Ribonucleoproteins (RNPs) are powerful and precise genome editor proteins that promise to cure diseases with an underlying genetic basis. However, nanocarriers such as polymers or lipids still struggle to bind, complex, and deliver fragile RNP payloads. Thus, far, polymer chemists have focused on the chemical identity rather than the spatial arrangement of repeat units to identify design rules for polymer-mediated RNP delivery. To elucidate microstructure effects in polymer-mediated RNP delivery, we synthesized compositionally equivalent, length-matched statistical, block, and gradient copolymers. Then, we compared their polymer–RNP binding affinities, polyplex sizes, and editing performance. Statistical copolymers, which are polymer ensembles with rich sequence diversity, bound RNPs more tightly and formed smaller (<i>R</i>_h ∼ 50 nm) polyplexes than structurally well-defined block copolymers, which surprisingly promoted polyplex aggregation. Further, microstructure-dependent trends (statistical > gradient > block) in RNP binding strength propagated across cellular uptake and editing efficiency. For instance, in human embryonic kidney cells, statistical copolymers matched state-of-the-art commercial reagents in nonhomologous end joining (NHEJ) editing efficiency (60% at near-stoichiometric N/P ratios), whereas block copolymers performed no better than free RNPs. In human bronchial epithelial cells bearing G542X cystic fibrosis mutations, statistical and gradient copolymers exhibited robust NHEJ editing (25% for statistical copolymers <b>S</b>) with canonical spCas9 RNPs, suggesting that these polymers are promising for future investigations with base editor delivery. Our work reveals that RNP binding and delivery demand chemical heterogeneity along polymer backbones supplied by a statistical distribution of hydrophobic, electrostatic, and hydrogen-bonding motifs. Microstructure is a powerful yet overlooked design handle that complements traditional compositional screening to tailor bespoke polymers for diverse genome editor payloads and cellular targets. 2026-09-28T00:00:00Z Text Journal contribution 10.1021/acspolymersau.6c00169.s001 https://figshare.com/articles/journal_contribution/Statistical_Block_and_Gradient_Copolymers_Reveal_Microstructure-Dependent_Binding_and_Intracellular_Delivery_of_Genome_Editor_Proteins/34020621 CC BY-NC 4.0