Universal toxin-based selection for precise genome engineering in human cells

Genome engineering in cell lines or human stem cells often has poor efficiency, limiting the development of research and therapeutic applications. Here, the authors use a toxin-based selection system for precise bi-allelic engineering in cells and in vivo.

Bibliographic Details
Main Authors: Songyuan Li, Nina Akrap, Silvia Cerboni, Michelle J. Porritt, Sandra Wimberger, Anders Lundin, Carl Möller, Mike Firth, Euan Gordon, Bojana Lazovic, Aleksandra Sieńska, Luna Simona Pane, Matthew A. Coelho, Giovanni Ciotta, Giovanni Pellegrini, Marcella Sini, Xiufeng Xu, Suman Mitra, Mohammad Bohlooly-Y, Benjamin J. M. Taylor, Grzegorz Sienski, Marcello Maresca
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-20810-z
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spelling doaj-5902061ff2c8407598c33e5d4d157a462021-01-24T12:12:14ZengNature Publishing GroupNature Communications2041-17232021-01-0112111410.1038/s41467-020-20810-zUniversal toxin-based selection for precise genome engineering in human cellsSongyuan Li0Nina Akrap1Silvia Cerboni2Michelle J. Porritt3Sandra Wimberger4Anders Lundin5Carl Möller6Mike Firth7Euan Gordon8Bojana Lazovic9Aleksandra Sieńska10Luna Simona Pane11Matthew A. Coelho12Giovanni Ciotta13Giovanni Pellegrini14Marcella Sini15Xiufeng Xu16Suman Mitra17Mohammad Bohlooly-Y18Benjamin J. M. Taylor19Grzegorz Sienski20Marcello Maresca21Translational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Science and Experimental Medicine, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaR&D Data Infrastructure & Tools, AstraZenecaDiscovery Biology SWE, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaWellcome Sanger InstituteDiscovery Biology UK, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaCVRM pathology, Clinical Pharmacology & Safety Sciences, BioPharmaceuticals R&D, AstraZenecaCVRM pathology, Clinical Pharmacology & Safety Sciences, BioPharmaceuticals R&D, AstraZenecaDepartment of Biosciences and Nutrition, Karolinska InstituteInserm UMR1277 CNRS UMR9020 – CANTHER, Institut pour la Recherche sur le Cancer de LilleTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaDiscovery Biology UK, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaTranslational Genomics, Discovery Sciences, BioPharmaceuticals R&D, AstraZenecaGenome engineering in cell lines or human stem cells often has poor efficiency, limiting the development of research and therapeutic applications. Here, the authors use a toxin-based selection system for precise bi-allelic engineering in cells and in vivo.https://doi.org/10.1038/s41467-020-20810-z
collection DOAJ
language English
format Article
sources DOAJ
author Songyuan Li
Nina Akrap
Silvia Cerboni
Michelle J. Porritt
Sandra Wimberger
Anders Lundin
Carl Möller
Mike Firth
Euan Gordon
Bojana Lazovic
Aleksandra Sieńska
Luna Simona Pane
Matthew A. Coelho
Giovanni Ciotta
Giovanni Pellegrini
Marcella Sini
Xiufeng Xu
Suman Mitra
Mohammad Bohlooly-Y
Benjamin J. M. Taylor
Grzegorz Sienski
Marcello Maresca
spellingShingle Songyuan Li
Nina Akrap
Silvia Cerboni
Michelle J. Porritt
Sandra Wimberger
Anders Lundin
Carl Möller
Mike Firth
Euan Gordon
Bojana Lazovic
Aleksandra Sieńska
Luna Simona Pane
Matthew A. Coelho
Giovanni Ciotta
Giovanni Pellegrini
Marcella Sini
Xiufeng Xu
Suman Mitra
Mohammad Bohlooly-Y
Benjamin J. M. Taylor
Grzegorz Sienski
Marcello Maresca
Universal toxin-based selection for precise genome engineering in human cells
Nature Communications
author_facet Songyuan Li
Nina Akrap
Silvia Cerboni
Michelle J. Porritt
Sandra Wimberger
Anders Lundin
Carl Möller
Mike Firth
Euan Gordon
Bojana Lazovic
Aleksandra Sieńska
Luna Simona Pane
Matthew A. Coelho
Giovanni Ciotta
Giovanni Pellegrini
Marcella Sini
Xiufeng Xu
Suman Mitra
Mohammad Bohlooly-Y
Benjamin J. M. Taylor
Grzegorz Sienski
Marcello Maresca
author_sort Songyuan Li
title Universal toxin-based selection for precise genome engineering in human cells
title_short Universal toxin-based selection for precise genome engineering in human cells
title_full Universal toxin-based selection for precise genome engineering in human cells
title_fullStr Universal toxin-based selection for precise genome engineering in human cells
title_full_unstemmed Universal toxin-based selection for precise genome engineering in human cells
title_sort universal toxin-based selection for precise genome engineering in human cells
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-01-01
description Genome engineering in cell lines or human stem cells often has poor efficiency, limiting the development of research and therapeutic applications. Here, the authors use a toxin-based selection system for precise bi-allelic engineering in cells and in vivo.
url https://doi.org/10.1038/s41467-020-20810-z
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