Issue 18, 2020

A light-triggerable formulation to control the stability of pro-angiogenic transcription factor hypoxia inducible factor-1α (HIF-1α)

Abstract

The control of vascular remodeling mediated by transcription factor HIF-1α is critical in the treatment of several diseases including cancer, retinopathies, chronic wounds, and ischemic heart disease, among others. Gene silencing using a small interfering RNA (siRNA) is a promising therapeutic strategy to regulate HIF-1α; however, the delivery systems developed so far have limited endothelial targeting and efficiency. Herein, we have synthesized a light-triggerable polymeric nanoparticle (NP) library composed of 110 formulations which showed variable morphology, charge and disassembly rates after UV exposure. More than 35% of the formulations of the library were more efficient in gene knockdown than the siRNA delivered by a commercial transfection agent (lipofectamine RNAiMAX). The most efficient siRNA delivery formulations were tested against different cell types to identify one with preferential targeting to endothelial cells. Using a two-step methodology, we have identified a formulation that shows exquisite targeting to endothelial cells and is able to deliver more efficiently the siRNA that modulates HIF-1α than commercial transfection agents. Overall, the strategy reported here increases the specificity for tissue regulation and the efficiency for the intracellular delivery of siRNAs.

Graphical abstract: A light-triggerable formulation to control the stability of pro-angiogenic transcription factor hypoxia inducible factor-1α (HIF-1α)

Supplementary files

Article information

Article type
Communication
Submitted
11 Dec 2019
Accepted
20 Apr 2020
First published
21 Apr 2020

Nanoscale, 2020,12, 9935-9942

A light-triggerable formulation to control the stability of pro-angiogenic transcription factor hypoxia inducible factor-1α (HIF-1α)

J. Blersch, V. Francisco, C. Rebelo, A. Jiménez-Balsa, H. Antunes, S. Pinto, S. Simões, A. Rai and L. Ferreira, Nanoscale, 2020, 12, 9935 DOI: 10.1039/C9NR10503D

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