Unknown

Dataset Information

0

Comprehensive AAV capsid fitness landscape reveals a viral gene and enables machine-guided design.


ABSTRACT: Adeno-associated virus (AAV) capsids can deliver transformative gene therapies, but our understanding of AAV biology remains incomplete. We generated the complete first-order AAV2 capsid fitness landscape, characterizing all single-codon substitutions, insertions, and deletions across multiple functions relevant for in vivo delivery. We discovered a frameshifted gene in the VP1 region that expresses a membrane-associated accessory protein that limits AAV production through competitive exclusion. Mutant biodistribution revealed the importance of both surface-exposed and buried residues, with a few phenotypic profiles characterizing most variants. Finally, we algorithmically designed and experimentally verified a diverse in vivo targeted capsid library with viability far exceeding random mutagenesis approaches. These results demonstrate the power of systematic mutagenesis for deciphering complex genomes and the potential of empirical machine-guided protein engineering.

SUBMITTER: Ogden PJ 

PROVIDER: S-EPMC7197022 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Comprehensive AAV capsid fitness landscape reveals a viral gene and enables machine-guided design.

Ogden Pierce J PJ   Kelsic Eric D ED   Sinai Sam S   Church George M GM   Church George M GM  

Science (New York, N.Y.) 20191101 6469


Adeno-associated virus (AAV) capsids can deliver transformative gene therapies, but our understanding of AAV biology remains incomplete. We generated the complete first-order AAV2 capsid fitness landscape, characterizing all single-codon substitutions, insertions, and deletions across multiple functions relevant for in vivo delivery. We discovered a frameshifted gene in the VP1 region that expresses a membrane-associated accessory protein that limits AAV production through competitive exclusion.  ...[more]

Similar Datasets

2019-11-29 | GSE139657 | GEO
| PRJNA586835 | ENA
2024-11-12 | GSE228000 | GEO
| S-EPMC8099058 | biostudies-literature
| S-EPMC11289365 | biostudies-literature
| S-EPMC4509550 | biostudies-literature
| S-EPMC9323007 | biostudies-literature
| S-EPMC6858556 | biostudies-literature
| S-EPMC3773786 | biostudies-literature
| S-EPMC4032126 | biostudies-literature