Predicting genotoxicity of viral vectors for stem cell gene therapy using gene expression-based machine learning-Reference-Cited by-同舟云学术

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Predicting genotoxicity of viral vectors for stem cell gene therapy using gene expression-based machine learning

Published:2021-12 Issue:12 Volume:29 Page:3383-3397
ISSN:1525-0016
Container-title:Molecular Therapy
language:en
Short-container-title:Molecular Therapy

Author:

Schwarzer Adrian,Talbot Steven R.,Selich Anton,Morgan Michael,Schott Juliane W.,Dittrich-Breiholz Oliver,Bastone Antonella L.,Weigel Bettina,Ha Teng Cheong,Dziadek Violetta,Gijsbers Rik,Thrasher Adrian J.,Staal Frank J.T.,Gaspar Hubert B.,Modlich Ute,Schambach Axel,Rothe Michael

Funder

Wellcome Trust

Niedersächsisches Ministerium für Wissenschaft und Kultur

Horizon 2020

NC3Rs

DFG

Hannover Medical School

Publisher

Elsevier BV

Subject

Drug Discovery,Pharmacology,Genetics,Molecular Biology,Molecular Medicine

Reference44 articles.

1. Hematopoietic Stem Cell Gene Therapy: Progress and Lessons Learned;Morgan;Cell Stem Cell,2017

2. A serious adverse event after successful gene therapy for X-linked severe combined immunodeficiency;Hacein-Bey-Abina;N. Engl. J. Med.,2003

3. Genomic instability and myelodysplasia with monosomy 7 consequent to EVI1 activation after gene therapy for chronic granulomatous disease;Stein;Nat. Med.,2010

4. Gene Therapy for Wiskott-Aldrich Syndrome–Long-Term Efficacy and Genotoxicity;Braun;Sci. Transl. Med.,2014

5. Insertional mutagenesis combined with acquired somatic mutations causes leukemogenesis following gene therapy of SCID-X1 patients;Howe;J. Clin. Invest.,2008

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