The advent of genome editing has transformed the therapeutic landscape for several debilitating diseases, and the clinical outlook for gene therapeutics has never been more promising. The therapeutic potential of nucleic acids has been limited by a reliance on engineered viral vectors for delivery. Chemically defined polymers can remediate technological, regulatory, and clinical challenges associated with viral modes of gene delivery. Because of their scalability, versatility, and exquisite tunability, polymers are ideal biomaterial platforms for delivering nucleic acid payloads efficiently while minimizing immune response and cellular toxicity. While polymeric gene delivery has progressed significantly in the past four decades, clinical translation of polymeric vehicles faces several formidable challenges. The aim of our Account is to illustrate diverse concepts in designing polymeric vectors towards meeting therapeutic goals of in vivo and ex vivo gene therapy. Here, we highlight several classes of polymers employed in gene delivery and summarize the recent work on understanding the contributions of chemical and architectural design parameters. We touch upon characterization methods used to visualize and understand events transpiring at the interfaces between polymer, nucleic acids, and the physiological environment. We conclude that interdisciplinary approaches and methodologies motivated by fundamental questions are key to designing high-performing polymeric vehicles for gene therapy.

Chemically defined vectors such as cationic polymers are versatile alternatives to engineered viruses for the delivery of genome-editing payloads. However, their clinical translation hinges on rapidly exploring vast chemical design spaces and deriving structure–function relationships governing delivery performance. Here, we discovered a polymer for efficient intracellular ribonucleoprotein (RNP) delivery through combinatorial polymer design and parallelized experimental workflows. A chemically diverse library of 43 statistical copolymers was synthesized via combinatorial RAFT polymerization, realizing systematic variations in physicochemical properties. We selected cationic monomers that varied in their pK a values (8.1–9.2), steric bulk, and lipophilicity of their alkyl substituents. Co-monomers of varying hydrophilicity were also incorporated, enabling elucidation of the roles of protonation equilibria and hydrophobic–hydrophilic balance in vehicular properties and performance. We screened our multiparametric vector library through image cytometry and rapidly uncovered a hit polymer (P38), which outperforms state-of-the-art commercial transfection reagents, achieving nearly 60% editing efficiency via nonhomologous end-joining. Structure–function correlations underlying editing efficiency, cellular toxicity, and RNP uptake were probed through machine learning approaches to uncover the physicochemical basis of P38’s performance. Although cellular toxicity and RNP uptake were solely determined by polyplex size distribution and protonation degree, respectively, these two polyplex design parameters were found to be inconsequential for enhancing editing efficiency. Instead, polymer hydrophobicity and the Hill coefficient, a parameter describing cooperativity-enhanced polymer deprotonation, were identified as the critical determinants of editing efficiency. Combinatorial synthesis and high-throughput characterization methodologies coupled with data science approaches enabled the rapid discovery of a polymeric vehicle that would have otherwise remained inaccessible to chemical intuition. The statistically derived design rules elucidated herein will guide the synthesis and optimization of future polymer libraries tailored for therapeutic applications of RNP-based genome editing.

Gene editing with CRISPR/Cas9 is revolutionizing biotechnology and medical research, yet affordable, efficient, and tailorable delivery systems are urgently needed to advance translation. Herein, a series of monodisperse amphiphilic block polymers poly­[ethylene oxide-b-2-(dimethylamino) ethyl methacrylate-b-n-butyl methacrylate] (PEO-b-PDMAEMA-b-PnBMA) that housed three PEO lengths (2, 5, and 10 kDa) and a variant lacking PEO (PDMAEMA-b-PnBMA) were synthesized via controlled radical polymerization and assembled into well-defined spherical cationic micelles. The cationic micelles were complexed via electrostatic interactions with Cas9 protein/guide RNA ribonucleoproteins (RNPs) that exhibit anionic charges due to the overhanging RNA. The resulting micelleplex formulations in both phosphate-buffered saline (PBS) and water were screened via high content analysis for gene editing efficiency. The micelle variant with the 10 kDa PEO block offered the highest gene editing performance and was advanced for in-depth characterization. For the first time, quantitative static and dynamic light scattering characterization and cryogenic transmission electron microscopy images of Cas9 protein/guideRNA RNP loading into well-defined micelleplex nanoparticles are revealed, where the formulation solvent was found to play a major role in the physicochemical properties and biological performance. In PBS, the solutions containing the micelles (63 triblock polymers per micelle) were assembled with the Cas9 protein/guideRNA RNP payloads offering uniform loading of 14 RNPs per micelleplex and moderate editing efficiency; this homogeneous system offers promise for future in vivo/preclinical applications. Interestingly, when the uniform micelles were formulated with the RNP payloads in water, larger multimicelleplex nanoparticles were formed that offered double the editing efficiency of Lipofectamine 2000 (40% gene editing) due to the rapid sedimentation kinetics of the larger colloids onto adherent cells, offering promising in vitro, ex vivo, and/or cell therapy applications. This work presents the first quantitative demonstration of tailorable block polymer micelle formulations for advancing CRISPR/Cas9 RNP delivery and fundamental correlation of the solutions physics to biological performance.

Cationic polymer vehicles have emerged as promising platforms for nucleic acid delivery because of their scalability, biocompatibility, and chemical versatility. Advancements in synthetic polymer chemistry allow us to precisely tune chemical functionality with various macromolecular architectures to increase the efficacy of nonviral-based gene delivery. Herein, we demonstrate the first cationic bottlebrush polymer-mediated pDNA delivery by comparing unimolecular, synthetically defined bottlebrush polymers to their linear building blocks. We successfully synthesized poly­(2-(dimethyl­amino)­ethyl methacrylate) (pDMAEMA) bottlebrushes through ring-opening metathesis polymerization to afford four bottlebrush polymers with systematic increases in backbone degree of polymerization (N bb = 13, 20, 26, and 37), while keeping the side-chain degree of polymerization constant (N sc = 57). Physical and chemical properties were characterized, and subsequently, the toxicity and delivery efficiency of pDNA into HEK293 cells were evaluated. The bottlebrush-pDNA complex (bottleplex) with the highest N bb, BB_37, displayed up to a 60-fold increase in %EGFP+ cells in comparison to linear macromonomer. Additionally, we observed a trend of increasing EGFP expression with increasing polymer molecular weight. Bottleplexes and polyplexes both displayed high pDNA internalization as measured via payload enumeration per cell; however, quantitative confocal analysis revealed that bottlebrushes were able to shuttle pDNA into and around the nucleus more successfully than pDNA delivered via linear analogues. Overall, a canonical cationic monomer, such as DMAEMA, synthesized in the form of cationic bottlebrush polymers proved to be far more efficient in functional pDNA delivery and expression than linear pDMAEMA. This work underscores the importance of architectural modifications and the potential of bottlebrushes to serve as effective biomacromolecule delivery vehicles.

The development of polymers that can replace engineered viral vectors in clinical gene therapy has proven elusive despite the vast portfolios of multifunctional polymers generated by advances in polymer synthesis. Functional delivery of payloads such as plasmids (pDNA) and ribonucleoproteins (RNP) to various cellular populations and tissue types requires design precision. Herein, we systematically screen a combinatorially designed library of 43 well-defined polymers, ultimately identifying a lead polycationic vehicle (P38) for efficient pDNA delivery. Further, we demonstrate the versatility of P38 in codelivering spCas9 RNP and pDNA payloads to mediate homology-directed repair as well as in facilitating efficient pDNA delivery in ARPE-19 cells. P38 achieves nuclear import of pDNA and eludes lysosomal processing far more effectively than a structural analogue that does not deliver pDNA as efficiently. To reveal the physicochemical drivers of P38’s gene delivery performance, SHapley Additive exPlanations (SHAP) are computed for nine polyplex features, and a causal model is applied to evaluate the average treatment effect of the most important features selected by SHAP. Our machine learning interpretability and causal inference approach derives structure–function relationships underlying delivery efficiency, polyplex uptake, and cellular viability and probes the overlap in polymer design criteria between RNP and pDNA payloads. Together, combinatorial polymer synthesis, parallelized biological screening, and machine learning establish that pDNA delivery demands careful tuning of polycation protonation equilibria while RNP payloads are delivered most efficaciously by polymers that deprotonate cooperatively via hydrophobic interactions. These payload-specific design guidelines will inform further design of bespoke polymers for specific therapeutic contexts.