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Parkinson's disease motor symptoms rescue by CRISPRa-reprogramming astrocytes into GABAergic neurons.

EMBO Mol. Med.:e14797 (2022)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Direct reprogramming based on genetic factors resembles a promising strategy to replace lost cells in degenerative diseases such as Parkinson's disease. For this, we developed a knock-in mouse line carrying a dual dCas9 transactivator system (dCAM) allowing the conditional in vivo activation of endogenous genes. To enable a translational application, we additionally established an AAV-based strategy carrying intein-split-dCas9 in combination with activators (AAV-dCAS). Both approaches were successful in reprogramming striatal astrocytes into induced GABAergic neurons confirmed by single-cell transcriptome analysis of reprogrammed neurons in vivo. These GABAergic neurons functionally integrate into striatal circuits, alleviating voluntary motor behavior aspects in a 6-OHDA Parkinson's disease model. Our results suggest a novel intervention strategy beyond the restoration of dopamine levels. Thus, the AAV-dCAS approach might enable an alternative route for clinical therapies of Parkinson's disease.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Astrocytes ; Crispra ; Gabaergic Neurons ; Parkinson's Disease ; Reprogramming
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 1757-4676
e-ISSN 1757-4684
Quellenangaben Band: , Heft: , Seiten: , Artikelnummer: e14797 Supplement: ,
Verlag Wiley
Verlagsort Chichester
Begutachtungsstatus Peer reviewed
POF Topic(s) 30204 - Cell Programming and Repair
30201 - Metabolic Health
30205 - Bioengineering and Digital Health
Forschungsfeld(er) Genetics and Epidemiology
Stem Cell and Neuroscience
Helmholtz Diabetes Center
Enabling and Novel Technologies
PSP-Element(e) G-500500-001
G-500800-001
G-502200-001
G-503800-001
G-500600-001
Förderungen Helmholtz Association
Else Kröner-Fresenius-Stiftung (EKFS)
Chan Zuckerberg Initiative (CZI)
Scopus ID 85127409802
PubMed ID 35373464
Erfassungsdatum 2022-05-04