Screening a chemically defined extracellular matrix mimetic substrate library to identify substrates that enhance substrate-mediated transfection
Year: 2020
Type: article
Abstract: Nonviral gene delivery, though limited by inefficiency, has extensive utility in cell therapy, tissue engineering, and diagnostics. Substrate-mediated gene delivery (SMD) increases efficiency and allows transfection at a cell-biomaterial interface, by immobilizing and concentrating nucleic acid complexes on a surface. Efficient SMD generally requires substrates to be coated with serum or other protein coatings to mediate nucleic acid complex immobilization, as well as cell adhesion and growth; however, this strategy limits reproducibility and may be difficult to translate for clinical applications. As an alternative, we screened a chemically defined combinatorial library of 20 different extracellular matrix mimetic substrates containing combinations of (1) different sulfated polysaccharides that are essential extracellular matrix glycosaminoglycans (GAGs), with (2) mimetic peptides derived from adhesion proteins, growth factors, and cell-penetrating domains, for use as SMD coatings. We identified optimal substrates for DNA lipoplex and polyplex SMD transfection of fibroblasts and human mesenchymal stem cells. Optimal extracellular matrix mimetic substrates varied between cell type, donor source, and transfection reagent, but typically contained Heparin GAG and an adhesion peptide. Multiple substrates significantly increased transgene expression (i.e. 2- to 20-fold) over standard protein coatings. Considering previous research of similar ligands, we hypothesize extracellular matrix mimetic substrates modulate cell adhesion, proliferation, and survival, as well as plasmid internalization and trafficking. Our results demonstrate the utility of screening combinatorial extracellular matrix mimetic substrates for optimal SMD transfection towards application- and patient-specific technologies. Impact statement Substrate-mediated gene delivery (SMD) approaches have potential for modification of cells in applications where a cell-material interface exists. Conventional SMD uses ill-defined serum or protein coatings to facilitate immobilization of nucleic acid complexes, cell attachment, and subsequent transfection, which limits reproducibility and clinical utility. As an alternative, we screened a defined library of extracellular matrix mimetic substrates containing combinations of different glycosaminoglycans and bioactive peptides to identify optimal substrates for SMD transfection of fibroblasts and human mesenchymal stem cells. This strategy could be utilized to develop substrates for specific SMD applications in which variability exists between different cell types and patient samples.
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: bronze
Funders: National Science Foundation, U.S. Department of Agriculture, Bundesministerium für Bildung und Forschung, National Institutes of Health, Cooperative State Research, Education, and Extension Service, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Awards: G1509250858, Preparation and Distribution of Adult Stem Cells, G2002124694, CAREER: Nanostructured Thin Films for Substrate-Mediated Gene Delivery, Nebraska Center for the Prevention of Obesity Diseases through Dietary Molecules, Zentrum für Innovationskompetenz B Cube, Nachwuchsgruppe: Bioresponsive Materialien, G6671297155, Zentrum für Innovationskompetenz - Verbundvorhaben: BioLithoMorphie - Assemblierung biologischen Materials mit Hilfe lithographischer Methoden zur Konstruktion dreidimensionaler biologischer Morphologie, TP: Lichtschaltbare Oberflächen, Nebraska Research Network in Functional Genomics, G8539606282, Using Cell Priming and Telecommunications Modeling to Enhance Gene Delivery for Stem Cell Therapies
OpenAlex ID: W3011536866
