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Identification of Novel Superior Polycationic Vectors for Gene Delivery by High-throughput Synthesis and Screening of a Combinatorial Library

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Abstract

Purpose

Low efficiency and toxicity are two major drawbacks of current non-viral gene delivery vectors. Since DNA delivery to mammalian cells is a multi-step process, generating and searching combinatorial libraries of vectors employing high-throughput synthesis and screening methods is an attractive strategy for the development of new improved vectors because it increases the chance of identifying the most overall optimized vectors.

Materials and Methods

Based on the rationale that increasing the effective molecular weight of small PEIs, which are poor vectors compared to the higher molecular weight homologues but less toxic, raises their transfection efficiency due to better DNA binding, we synthesized a library of 144 biodegradable derivatives from two small PEIs and 24 bi- and oligo-acrylate esters. A 423-Da linear PEI and its 1:1 (w/w) mixture with a 1.8-kDa branched PEI were cross-linked with the acrylates at three molar ratios in DMSO. The resulting polymers were screened for their efficiency in delivering a β-galactosidase expressing plasmid to COS-7 monkey kidney cells. Selected most potent polymers from the initial screen were tested for toxicity in A549 human lung cancer cells, and in vivo in a systemic gene delivery model in mice employing a firefly luciferase expressing plasmid.

Results

Several polycations that exhibited high potency and low toxicity in vitro were identified from the library. The most potent derivative of the linear 423-Da PEI was that cross-linked with tricycle-[5.2.1.0]-decane-dimethanol diacrylate (diacrylate 14), which exhibited an over 3,600-fold enhancement in efficiency over the parent. The most potent mixed PEI was that cross-linked with ethylene glycol diacrylate (diacrylate 4) which was over 850-fold more efficient than the physically mixed parent PEIs. The relative efficiencies of these polymers were even up to over twice as high as that of the linear 22-kDa PEI, considered the “gold standard” for in vitro and systemic gene delivery. The potent cross-linked polycations identified were also less toxic than the 22-kDa PEI. The optimal vector in vivo was the mixed PEI cross-linked with propylene glycol glycerolate diacrylate (diacrylate 7); it mediated the highest gene expression in the lungs, followed by the spleen, with the expression in the former being 53-fold higher compared to the latter. In contrast, the parent PEIs mediated no gene expression at all under similar conditions, and injection of the polyplexes of the 22-kDa PEI at its optimal N/P of 10 prepared under identical conditions killed half of the mice injected.

Conclusions

High-throughput synthesis and transfection assay of a cross-linked library of biodegradable PEIs was proven effective in identifying highly transfecting vectors. The identified vectors exhibited dramatically superior efficiency compared to their parents both in vitro and in an in vivo systemic gene delivery model. The majority of these vectors mediated preferential gene delivery to the lung, and their in vivo toxicity paralleled that in vitro.

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Acknowledgements

This work was financially supported by NIH grants GM26698 (to AMK) and AI56267 (to JC).

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Authors and Affiliations

  1. Department of Chemistry, Massachusetts Institute of Technology, Building 56-579, Cambridge, Massachusetts, 02139, USA

    Mini Thomas & Alexander M. Klibanov

  2. Division of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA

    Mini Thomas & Alexander M. Klibanov

  3. Center for Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA

    James J. Lu & Jianzhu Chen

  4. Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA

    James J. Lu & Jianzhu Chen

  5. Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA

    Chengcheng Zhang

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  1. Mini Thomas
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  5. Alexander M. Klibanov
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Correspondence to Alexander M. Klibanov.

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Thomas, M., Lu, J.J., Zhang, C. et al. Identification of Novel Superior Polycationic Vectors for Gene Delivery by High-throughput Synthesis and Screening of a Combinatorial Library. Pharm Res 24, 1564–1571 (2007). https://doi.org/10.1007/s11095-007-9279-3

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  • DOI: https://doi.org/10.1007/s11095-007-9279-3

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