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Harnessing siRNA technology as a treatment delivery system for osteoarthritis

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  • Full or part time
    Prof F Dell’Accio
    Dr A-S Thorup
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

About This PhD Project

Project Description

The William Harvey Research Institute, Queen Mary University of London is offering research training at the PhD level for the following two projects within the Centre for Osteoarthritis Pathogenesis Versus Arthritis (OA Centre). The projects will be carried out mostly within Queen Mary and its multi-disciplinary CiTI (

The students will enjoy being part of the OA Centre, with a sizable critical mass of top scientists and a vibrant community of junior researchers within the musculoskeletal field. Periodic meetings and the annual OA Centre review meeting in Oxford will give the students the opportunity to share their results, discuss directions of research and establish research collaborations locally and internationally.


We have identified novel molecular targets that enable to improve cartilage integrity and reduce symptoms in osteoarthritis. One bottleneck to translation into clinical practice is that macromolecules such as antibodies do not penetrate the dense cartilage matrix.
This studentship is focused around the generation of technologies that will enable to deliver stabilized siRNA into cartilage using reagents already approved for clinical use and lasting long enough to be used in clinical practice. Successful delivery of this project will enable the generation of drugs that enable cartilage regeneration in osteoarthritis.

One novel target which is still patent pending will be delivered in mouse models of osteoarthritis as proof of concept.

Entry Requirements

Applicants should be EU/Home, and have a good honors degree (minimum 2(i) or equivalent) with a strong background in biomedical science and an interest in arthritis based research. In addition, the candidate should have some experience or ambition to partake in large dataset analysis (significant support for this will be available through the STEpUP OA consortium).

How to apply

Please send your covering letter (detailing why you would like to apply) and CV to the relevant PhD supervisor ([Email Address Removed]).

More information on the science underpinning this programme can be found at
Deadline for applications: 11.59pm, Sunday 17th November 2019.
Interviews will be held shortly after application deadline.

Please send your full application to:

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