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Transcriptional linkage analysis with in vivo AAV-Perturb-seq

Author

Listed:
  • Antonio J. Santinha

    (ETH Zurich)

  • Esther Klingler

    (University of Geneva
    Leuven Brain Institute)

  • Maria Kuhn

    (ETH Zurich
    Roche)

  • Rick Farouni

    (ETH Zurich)

  • Sandra Lagler

    (ETH Zurich)

  • Georgios Kalamakis

    (ETH Zurich
    Novartis Institutes for BioMedical Research)

  • Ulrike Lischetti

    (ETH Zurich
    University Hospital Basel and University of Basel)

  • Denis Jabaudon

    (University of Geneva)

  • Randall J. Platt

    (ETH Zurich
    Botnar Research Center for Child Health
    University of Basel
    NCCR Molecular Systems Engineering)

Abstract

The ever-growing compendium of genetic variants associated with human pathologies demands new methods to study genotype–phenotype relationships in complex tissues in a high-throughput manner1,2. Here we introduce adeno-associated virus (AAV)-mediated direct in vivo single-cell CRISPR screening, termed AAV-Perturb-seq, a tuneable and broadly applicable method for transcriptional linkage analysis as well as high-throughput and high-resolution phenotyping of genetic perturbations in vivo. We applied AAV-Perturb-seq using gene editing and transcriptional inhibition to systematically dissect the phenotypic landscape underlying 22q11.2 deletion syndrome3,4 genes in the adult mouse brain prefrontal cortex. We identified three 22q11.2-linked genes involved in known and previously undescribed pathways orchestrating neuronal functions in vivo that explain approximately 40% of the transcriptional changes observed in a 22q11.2-deletion mouse model. Our findings suggest that the 22q11.2-deletion syndrome transcriptional phenotype found in mature neurons may in part be due to the broad dysregulation of a class of genes associated with disease susceptibility that are important for dysfunctional RNA processing and synaptic function. Our study establishes a flexible and scalable direct in vivo method to facilitate causal understanding of biological and disease mechanisms with potential applications to identify genetic interventions and therapeutic targets for treating disease.

Suggested Citation

  • Antonio J. Santinha & Esther Klingler & Maria Kuhn & Rick Farouni & Sandra Lagler & Georgios Kalamakis & Ulrike Lischetti & Denis Jabaudon & Randall J. Platt, 2023. "Transcriptional linkage analysis with in vivo AAV-Perturb-seq," Nature, Nature, vol. 622(7982), pages 367-375, October.
  • Handle: RePEc:nat:nature:v:622:y:2023:i:7982:d:10.1038_s41586-023-06570-y
    DOI: 10.1038/s41586-023-06570-y
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