title: Gene delivery polymer structure-function relationships elucidated via principal component analysis.
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).
authors.affiliation: The Johns Hopkins University School of Medicine, Department of Biomedical Engineering, Translational Tissue Engineering Center, 400 North Broadway, Baltimore MD, USA. green@jhu.edu.
authors.forename: C J
authors.initials: CJ
authors.lastname: Bishop
authors.forename: B
authors.initials: B
authors.lastname: Abubaker-Sharif
authors.forename: T
authors.initials: T
authors.lastname: Guiriba
authors.forename: S Y
authors.initials: SY
authors.lastname: Tzeng
authors.forename: J J
authors.initials: JJ
authors.lastname: Green
mesh_terms: D001672:Biocompatible Materials / Q000737:chemistry* / Q000378:metabolism; D045744:Cell Line, Tumor; D004247:DNA / Q000008:administration & dosage*; D018014:Gene Transfer Techniques; D006801:Humans; D011108:Polymers / Q000737:chemistry* / Q000378:metabolism; D025341:Principal Component Analysis; D014162:Transfection
chemical_list: D001672:Biocompatible Materials; D011108:Polymers; C507253:poly(beta-amino ester); D004247:DNA