Gene delivery polymer structure-function relationships elucidated via principal component analysis

C. J. Bishop; B. Abubaker-Sharif; T. Guiriba; S. Y. Tzeng; J. J. Green

doi:10.1039/c5cc04417k

Gene delivery polymer structure-function relationships elucidated via principal component analysis

C. J. Bishop, B. Abubaker-Sharif, T. Guiriba, S. Y. Tzeng, J. J. Green

School of Medicine

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

Principal component analysis was applied to a biomaterial library of poly(beta-amino ester)s, useful for non-viral gene delivery, to elucidate chemical parameters that drive biological function. Correlative relationships and principal components were analyzed between 24 physico-chemical polymer properties and 3 cell-based functional variables in human glioblastoma cells (transfection, uptake, and viability).

Original language	English (US)
Pages (from-to)	12134-12137
Number of pages	4
Journal	Chemical Communications
Volume	51
Issue number	60
DOIs	https://doi.org/10.1039/c5cc04417k
State	Published - Aug 4 2015

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Ceramics and Composites
Metals and Alloys
Materials Chemistry
Surfaces, Coatings and Films
General Chemistry
Catalysis

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AU - Guiriba, T.

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AU - Green, J. J.

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AB - Principal component analysis was applied to a biomaterial library of poly(beta-amino ester)s, useful for non-viral gene delivery, to elucidate chemical parameters that drive biological function. Correlative relationships and principal components were analyzed between 24 physico-chemical polymer properties and 3 cell-based functional variables in human glioblastoma cells (transfection, uptake, and viability).

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Gene delivery polymer structure-function relationships elucidated via principal component analysis

Abstract

ASJC Scopus subject areas

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