Optimizing synthetic nucleic acid and protein nanocarriers: The chemical evolution approach.


Journal

Advanced drug delivery reviews
ISSN: 1872-8294
Titre abrégé: Adv Drug Deliv Rev
Pays: Netherlands
ID NLM: 8710523

Informations de publication

Date de publication:
01 2021
Historique:
received: 22 11 2019
revised: 10 02 2020
accepted: 30 03 2020
pubmed: 5 4 2020
medline: 1 10 2021
entrez: 5 4 2020
Statut: ppublish

Résumé

Optimizing synthetic nanocarriers is like searching for a needle in a haystack. How to find the most suitable carrier for intracellular delivery of a specified macromolecular nanoagent for a given disease target location? Here, we review different synthetic 'chemical evolution' strategies that have been pursued. Libraries of nanocarriers have been generated either by unbiased combinatorial chemistry or by variation and novel combination of known functional delivery elements. As in natural evolution, definition of nanocarriers as sequences, as barcode or design principle, may fuel chemical evolution. Screening in appropriate test system may not only provide delivery candidates, but also a refined understanding of cellular delivery including novel, unpredictable mechanisms. Combined with rational design and computational algorithms, candidates can be further optimized in subsequent evolution cycles into nanocarriers with improved safety and efficacy. Optimization of nanocarriers differs for various cargos, as illustrated for plasmid DNA, siRNA, mRNA, proteins, or genome-editing nucleases.

Identifiants

pubmed: 32246984
pii: S0169-409X(20)30019-3
doi: 10.1016/j.addr.2020.03.005
pii:
doi:

Substances chimiques

Drug Carriers 0
Macromolecular Substances 0
Nucleic Acids 0
Polymers 0
Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

30-54

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Franziska Freitag (F)

Pharmaceutical Biotechnology, Center for System-Based Drug Research, Ludwig-Maximilians-Universität (LMU), Munich, Germany.

Ernst Wagner (E)

Pharmaceutical Biotechnology, Center for System-Based Drug Research, Ludwig-Maximilians-Universität (LMU), Munich, Germany; Center for Nanoscience (CeNS), Ludwig-Maximilians-Universität (LMU), Munich, Germany. Electronic address: ernst.wagner@cup.uni-muenchen.de.

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