Published in

Cell Press, Molecular Therapy, 12(19), p. 2144-2151, 2011

DOI: 10.1038/mt.2011.161

Links

Tools

Export citation

Search in Google Scholar

Microarray Analysis of Gene Expression Profiles in Cells Transfected With Nonviral Vectors

Journal article published in 2011 by Sarah A. Plautz, Gina Boanca, Jean-Jack M. Riethoven ORCID, Angela K. Pannier
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Inefficient gene delivery is a critical factor limiting the use of nonviral methods in therapeutic applications including gene therapy and tissue engineering. There have been few efforts to understand or engineer the molecular signaling pathways that dictate the efficacy of gene transfer. Microarray analysis was used to determine endogenous gene expression profiles modulated during nonviral gene transfer. Nonviral DNA lipoplexes were delivered to HEK 293T cells. Flow cytometry was used to isolate a population of transfected cells. Expression patterns were compared between transfected and nontransfected samples, which revealed three genes that were significantly upregulated in transfected cells, including RAP1A, a GTPase implicated in integrin-mediated cell adhesion, and HSP70B′, a stress-inducible gene that may be important for maintaining cell viability. Furthermore, RAP1A was also significantly upregulated in untransfected cells that were exposed to lipoplexes but that had not expressed the transgene as compared to control, untreated cells. Transfection in the presence of activators of upregulated genes was enhanced, demonstrating the principle of altering endogenous gene expression profiles to enhance transfection. With a greater understanding of signaling pathways involved in gene delivery, more efficient nonviral delivery schemes capitalizing on endogenous factors can be developed to advance therapeutic applications.