Literature DB >> 22491297

Engineering and evolution of synthetic adeno-associated virus (AAV) gene therapy vectors via DNA family shuffling.

Eike Kienle1, Elena Senís, Kathleen Börner, Dominik Niopek, Ellen Wiedtke, Stefanie Grosse, Dirk Grimm.   

Abstract

Adeno-associated viral (AAV) vectors represent some of the most potent and promising vehicles for therapeutic human gene transfer due to a unique combination of beneficial properties(1). These include the apathogenicity of the underlying wildtype viruses and the highly advanced methodologies for production of high-titer, high-purity and clinical-grade recombinant vectors(2). A further particular advantage of the AAV system over other viruses is the availability of a wealth of naturally occurring serotypes which differ in essential properties yet can all be easily engineered as vectors using a common protocol(1,2). Moreover, a number of groups including our own have recently devised strategies to use these natural viruses as templates for the creation of synthetic vectors which either combine the assets of multiple input serotypes, or which enhance the properties of a single isolate. The respective technologies to achieve these goals are either DNA family shuffling(3), i.e. fragmentation of various AAV capsid genes followed by their re-assembly based on partial homologies (typically >80% for most AAV serotypes), or peptide display(4,5), i.e. insertion of usually seven amino acids into an exposed loop of the viral capsid where the peptide ideally mediates re-targeting to a desired cell type. For maximum success, both methods are applied in a high-throughput fashion whereby the protocols are up-scaled to yield libraries of around one million distinct capsid variants. Each clone is then comprised of a unique combination of numerous parental viruses (DNA shuffling approach) or contains a distinctive peptide within the same viral backbone (peptide display approach). The subsequent final step is iterative selection of such a library on target cells in order to enrich for individual capsids fulfilling most or ideally all requirements of the selection process. The latter preferably combines positive pressure, such as growth on a certain cell type of interest, with negative selection, for instance elimination of all capsids reacting with anti-AAV antibodies. This combination increases chances that synthetic capsids surviving the selection match the needs of the given application in a manner that would probably not have been found in any naturally occurring AAV isolate. Here, we focus on the DNA family shuffling method as the theoretically and experimentally more challenging of the two technologies. We describe and demonstrate all essential steps for the generation and selection of shuffled AAV libraries (Fig. 1), and then discuss the pitfalls and critical aspects of the protocols that one needs to be aware of in order to succeed with molecular AAV evolution.

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Year:  2012        PMID: 22491297      PMCID: PMC3460542          DOI: 10.3791/3819

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  19 in total

Review 1.  Production methods for gene transfer vectors based on adeno-associated virus serotypes.

Authors:  Dirk Grimm
Journal:  Methods       Date:  2002-10       Impact factor: 3.608

Review 2.  Adeno-associated virus serotypes: vector toolkit for human gene therapy.

Authors:  Zhijian Wu; Aravind Asokan; R Jude Samulski
Journal:  Mol Ther       Date:  2006-07-07       Impact factor: 11.454

3.  Fatality in mice due to oversaturation of cellular microRNA/short hairpin RNA pathways.

Authors:  Dirk Grimm; Konrad L Streetz; Catherine L Jopling; Theresa A Storm; Kusum Pandey; Corrine R Davis; Patricia Marion; Felix Salazar; Mark A Kay
Journal:  Nature       Date:  2006-05-25       Impact factor: 49.962

4.  Unrestricted hepatocyte transduction with adeno-associated virus serotype 8 vectors in mice.

Authors:  Hiroyuki Nakai; Sally Fuess; Theresa A Storm; Shin-ichi Muramatsu; Yuko Nara; Mark A Kay
Journal:  J Virol       Date:  2005-01       Impact factor: 5.103

5.  Combinatorial engineering of a gene therapy vector: directed evolution of adeno-associated virus.

Authors:  Luca Perabo; Jan Endell; Susan King; Kerstin Lux; Daniela Goldnau; Michael Hallek; Hildegard Büning
Journal:  J Gene Med       Date:  2006-02       Impact factor: 4.565

6.  Directed evolution of adeno-associated virus yields enhanced gene delivery vectors.

Authors:  Narendra Maheshri; James T Koerber; Brian K Kaspar; David V Schaffer
Journal:  Nat Biotechnol       Date:  2006-01-22       Impact factor: 54.908

7.  A "humanized" green fluorescent protein cDNA adapted for high-level expression in mammalian cells.

Authors:  S Zolotukhin; M Potter; W W Hauswirth; J Guy; N Muzyczka
Journal:  J Virol       Date:  1996-07       Impact factor: 5.103

8.  In vitro selection of viral vectors with modified tropism: the adeno-associated virus display.

Authors:  Luca Perabo; Hildegard Büning; David M Kofler; Martin U Ried; Anne Girod; Clemens M Wendtner; Jörg Enssle; Michael Hallek
Journal:  Mol Ther       Date:  2003-07       Impact factor: 11.454

9.  Random peptide libraries displayed on adeno-associated virus to select for targeted gene therapy vectors.

Authors:  Oliver J Müller; Felix Kaul; Matthew D Weitzman; Renata Pasqualini; Wadih Arap; Jürgen A Kleinschmidt; Martin Trepel
Journal:  Nat Biotechnol       Date:  2003-08-03       Impact factor: 54.908

Review 10.  Designer gene delivery vectors: molecular engineering and evolution of adeno-associated viral vectors for enhanced gene transfer.

Authors:  Inchan Kwon; David V Schaffer
Journal:  Pharm Res       Date:  2007-09-01       Impact factor: 4.200

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  10 in total

1.  Alleviation of off-target effects from vector-encoded shRNAs via codelivered RNA decoys.

Authors:  Stefan Mockenhaupt; Stefanie Grosse; Daniel Rupp; Ralf Bartenschlager; Dirk Grimm
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-13       Impact factor: 11.205

2.  Using a barcoded AAV capsid library to select for clinically relevant gene therapy vectors.

Authors:  Katja Pekrun; Gustavo De Alencastro; Qing-Jun Luo; Jun Liu; Youngjin Kim; Sean Nygaard; Feorillo Galivo; Feijie Zhang; Ren Song; Matthew R Tiffany; Jianpeng Xu; Matthias Hebrok; Markus Grompe; Mark A Kay
Journal:  JCI Insight       Date:  2019-11-14

Review 3.  Perspective on Adeno-Associated Virus Capsid Modification for Duchenne Muscular Dystrophy Gene Therapy.

Authors:  Michael E Nance; Dongsheng Duan
Journal:  Hum Gene Ther       Date:  2015-10-15       Impact factor: 5.695

Review 4.  Targeting neurons and photons for optogenetics.

Authors:  Adam M Packer; Botond Roska; Michael Häusser
Journal:  Nat Neurosci       Date:  2013-06-25       Impact factor: 24.884

Review 5.  Best of most possible worlds: Hybrid gene therapy vectors based on parvoviruses and heterologous viruses.

Authors:  Julia Fakhiri; Dirk Grimm
Journal:  Mol Ther       Date:  2021-04-05       Impact factor: 11.454

6.  Evaluating the Genomic Parameters Governing rAAV-Mediated Homologous Recombination.

Authors:  Laura P Spector; Matthew Tiffany; Nicole M Ferraro; Nathan S Abell; Stephen B Montgomery; Mark A Kay
Journal:  Mol Ther       Date:  2020-11-26       Impact factor: 11.454

7.  Cell-specific CRISPR-Cas9 activation by microRNA-dependent expression of anti-CRISPR proteins.

Authors:  Mareike D Hoffmann; Sabine Aschenbrenner; Stefanie Grosse; Kleopatra Rapti; Claire Domenger; Julia Fakhiri; Manuel Mastel; Kathleen Börner; Roland Eils; Dirk Grimm; Dominik Niopek
Journal:  Nucleic Acids Res       Date:  2019-07-26       Impact factor: 16.971

8.  High-throughput identification of synthetic riboswitches by barcode-free amplicon-sequencing in human cells.

Authors:  Benjamin Strobel; Maike Spöring; Holger Klein; Dragica Blazevic; Werner Rust; Sergi Sayols; Jörg S Hartig; Sebastian Kreuz
Journal:  Nat Commun       Date:  2020-02-05       Impact factor: 14.919

9.  Efficient transduction and optogenetic stimulation of retinal bipolar cells by a synthetic adeno-associated virus capsid and promoter.

Authors:  Therese Cronin; Luk H Vandenberghe; Péter Hantz; Josephine Juttner; Andreas Reimann; Agota-Enikő Kacsó; Rachel M Huckfeldt; Volker Busskamp; Hubertus Kohler; Pamela S Lagali; Botond Roska; Jean Bennett
Journal:  EMBO Mol Med       Date:  2014-09       Impact factor: 12.137

10.  SAMHD1 protects cancer cells from various nucleoside-based antimetabolites.

Authors:  Nikolas Herold; Sean G Rudd; Kumar Sanjiv; Juliane Kutzner; Julia Bladh; Cynthia B J Paulin; Thomas Helleday; Jan-Inge Henter; Torsten Schaller
Journal:  Cell Cycle       Date:  2017-04-24       Impact factor: 4.534

  10 in total

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