Engineering lipid nanoparticles to target and escape the endosome, deliver their...
Engineering lipid nanoparticles to target and escape the endosome, deliver their cargo and perform better as breast cancer therapies
There is a strong need for personalised genetic medicines for the treatment of advanced breast cancer. LNP-mRNA nanomedicines have already been proven as safe and cost effective in the SARS-CoV-2 vaccines. However, cancer treatmen...
There is a strong need for personalised genetic medicines for the treatment of advanced breast cancer. LNP-mRNA nanomedicines have already been proven as safe and cost effective in the SARS-CoV-2 vaccines. However, cancer treatments often require (i) repeat dosing (ii) controlled immune response (iii) adaptability to combat drug resistance. There are several LNP-RNA clinical cancer trials ongoing, many of which have reported challenges with toxicity, performance and specificity (off target effects). For an LNP-RNA cancer therapeutic to function, they need to localise in the correct organ, enter the cancer cells and escape the cellular (endosomal) processing pathway to release their RNA cargo. In current LNP-RNA formulations only a small fraction (<10 %) of LNPs successfully escape the endosome. However, these ‘null’ LNPs can still contribute to toxicity which places huge restrictions on their clinical application and performance. The aim of this proposal is to provide mechanistic insight into the endosomal escape of LNPs and use nanoscale engineering to target the endosome and improve LNP endosomal escape. This is particularly relevant in breast cancer as the majority of LNP systems are optimised for liver applications and designed to undergo fusion under ‘healthy’ endosomal conditions. In breast cancer, the composition (lipid, protein) and environment (pH) of the endosome differ significantly between healthy and cancer cells.
Objectives:
- Use omics approaches to quantify key differences in the endosome in healthy and breast cancer sub type cells and develop breast cancer sub type endosome models
- Design LNPs with enhanced fusion to endosomes using (i) lipid composition (ii) protein – protein / lipid interactions (iii) pH mediated fusion
- Validate novel LNPs with increased endosomal fusion and lower toxicity for breast cancer treatmentver más
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.