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A Highly Porous Metal-Organic Framework System to Deliver Payloads for Gene Knockdown

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Teplensky, MH 
Fantham, M 
Lu, M 

Abstract

© 2019 Elsevier Inc. Gene knockdown is an advantageous therapeutic strategy to lower dangerous genetic over-expression. However, the molecules responsible for initiating this process are unstable. Porous nanoparticles called metal-organic frameworks can encapsulate, protect, and deliver these compounds efficaciously without the need for chemical modifications—commonly done to enhance stability. By applying this platform technology, this work demonstrates the successful reduction in expression of a gene by avoiding retention and subsequent degradation in cellular compartments.

Description

Keywords

34 Chemical Sciences, Genetics, Biotechnology

Journal Title

Chem

Conference Name

Journal ISSN

2451-9308
2451-9294

Volume Title

5

Publisher

Elsevier BV

Rights

All rights reserved
Sponsorship
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (722380)
Engineering and Physical Sciences Research Council (EP/S009000/1)
Cancer Research UK (C14303/A17197)
Medical Research Council (MR/K015850/1)
Engineering and Physical Sciences Research Council (EP/H018301/1)
Wellcome Trust (089703/Z/09/Z)
Medical Research Council (MR/K02292X/1)
Engineering and Physical Sciences Research Council (EP/L015889/1)
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (NanoMOFdeli), ERC-2016-COG 726380, and (SUPUVIR) no. 722380. M.H.T. thanks the Gates Cambridge Trust for funding, S. Haddad for helpful discussions, and A. Li for assistance with data visualization. D.F.-J. thanks the Royal Society for funding through a University Research Fellowship. S.B.d.Q.F., F.M.R., and D.I.J. were funded by Cancer Research UK Senior Group Leader Grant CRUK/A15678. O.K.F. gratefully acknowledges DTRA for financial support (grant HDTRA-1-14-1-0014). C.F.K. acknowledges funding from the UK Engineering and Physical Sciences Research Council (grants EP/L015889/1 and EP/H018301/1), the Wellcome Trust (grants 3-3249/Z/16/Z and 089703/Z/09/Z) and the UK Medical Research Council (grants MR/K015850/1 and MR/K02292X/1), and Infinitus (China) Ltd. Computational work was supported by the Cambridge High Performance Computing Cluster, Darwin.