Identification of adeno-associated virus variants for gene transfer into human neural cell types by parallel capsid screening

Lea Jessica Flitsch, Kathleen Börner, Christian Stüllein, Simon Ziegler, Vera Sonntag-Buck, Ellen Wiedtke, Vesselina Semkova, Si Wah Christina Au Yeung, Julia Schlee, Mohamad Hajo, Mona Mathews, Beatrice Stefanie Ludwig, Susanne Kossatz, Horst Kessler, Dirk Grimm, Oliver Brüstle

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

5 Zitate (Scopus)

Abstract

Human brain cells generated by in vitro cell programming provide exciting prospects for disease modeling, drug discovery and cell therapy. These applications frequently require efficient and clinically compliant tools for genetic modification of the cells. Recombinant adeno-associated viruses (AAVs) fulfill these prerequisites for a number of reasons, including the availability of a myriad of AAV capsid variants with distinct cell type specificity (also called tropism). Here, we harnessed a customizable parallel screening approach to assess a panel of natural or synthetic AAV capsid variants for their efficacy in lineage-related human neural cell types. We identified common lead candidates suited for the transduction of directly converted, early-stage induced neural stem cells (iNSCs), induced pluripotent stem cell (iPSC)-derived later-stage, radial glia-like neural progenitors, as well as differentiated astrocytic and mixed neuroglial cultures. We then selected a subset of these candidates for functional validation in iNSCs and iPSC-derived astrocytes, using shRNA-induced downregulation of the citrate transporter SLC25A1 and overexpression of the transcription factor NGN2 for proofs-of-concept. Our study provides a comparative overview of the susceptibility of different human cell programming-derived brain cell types to AAV transduction and a critical discussion of the assets and limitations of this specific AAV capsid screening approach.

OriginalspracheEnglisch
Aufsatznummer8356
FachzeitschriftScientific Reports
Jahrgang12
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - Dez. 2022

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