Bi-functionalized aminoguanidine-PEGylated periodic mesoporous organosilica nanoparticles: a promising nanocarrier for delivery of Cas9-sgRNA ribonucleoproteine.


Journal

Journal of nanobiotechnology
ISSN: 1477-3155
Titre abrégé: J Nanobiotechnology
Pays: England
ID NLM: 101152208

Informations de publication

Date de publication:
31 Mar 2021
Historique:
received: 29 09 2020
accepted: 18 03 2021
entrez: 1 4 2021
pubmed: 2 4 2021
medline: 13 10 2021
Statut: epublish

Résumé

There is a great interest in the efficient intracellular delivery of Cas9-sgRNA ribonucleoprotein complex (RNP) and its possible applications for in vivo CRISPR-based gene editing. In this study, a nanoporous mediated gene-editing approach has been successfully performed using a bi-functionalized aminoguanidine-PEGylated periodic mesoporous organosilica (PMO) nanoparticles (RNP@AGu@PEG The bi-functionalized MSN-based nanomaterials have been fully characterized using electron microscopy (TEM and SEM), nitrogen adsorption measurements, thermogravimetric analysis (TGA), X-ray powder diffraction (XRD), Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR), and dynamic light scattering (DLS). The results confirm that AGu@PEG Due to the high stability and biocompatibility, simple synthesis, and cost-effectiveness, the developed bi-functionalized PMO-based nano-network introduces a tailored nanocarrier that has remarkable potential as a promising trajectory for biomedical and RNP delivery applications.

Sections du résumé

BACKGROUND BACKGROUND
There is a great interest in the efficient intracellular delivery of Cas9-sgRNA ribonucleoprotein complex (RNP) and its possible applications for in vivo CRISPR-based gene editing. In this study, a nanoporous mediated gene-editing approach has been successfully performed using a bi-functionalized aminoguanidine-PEGylated periodic mesoporous organosilica (PMO) nanoparticles (RNP@AGu@PEG
RESULTS RESULTS
The bi-functionalized MSN-based nanomaterials have been fully characterized using electron microscopy (TEM and SEM), nitrogen adsorption measurements, thermogravimetric analysis (TGA), X-ray powder diffraction (XRD), Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR), and dynamic light scattering (DLS). The results confirm that AGu@PEG
CONCLUSIONS CONCLUSIONS
Due to the high stability and biocompatibility, simple synthesis, and cost-effectiveness, the developed bi-functionalized PMO-based nano-network introduces a tailored nanocarrier that has remarkable potential as a promising trajectory for biomedical and RNP delivery applications.

Identifiants

pubmed: 33789675
doi: 10.1186/s12951-021-00838-z
pii: 10.1186/s12951-021-00838-z
pmc: PMC8011395
doi:

Substances chimiques

Guanidines 0
Polymers 0
RNA, Guide 0
Ribonucleoproteins 0
Silanes 0
Polyethylene Glycols 3WJQ0SDW1A
pimagedine SCQ4EZQ113

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

95

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Auteurs

Pardis Rahimi Salekdeh (PR)

Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Leila Ma'mani (L)

Department of Nanotechnology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran. leila.mamani@abrii.ac.ir.

Javad Tavakkoly-Bazzaz (J)

Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Hossein Mousavi (H)

Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Mohammad Hossein Modarressi (MH)

Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Ghasem Hosseini Salekdeh (GH)

Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran. hosseini.salekdeh@mq.edu.au.
Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia. hosseini.salekdeh@mq.edu.au.

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Classifications MeSH