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Cell-mediated Immune Responses01:40

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Generation of Induced Regulatory T Cells from Primary Human Naïve and Memory T Cells
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Precision T cell correction platform for inborn errors of immunity.

Katariina Mamia1, Solrun Kolbeinsdottir2, Kornel Labun3

  • 1Centre for Molecular Medicine Norway, University of Oslo, 0318 Oslo, Norway; Department of Pediatrics, Oslo University Hospital, 0372 Oslo, Norway; Precision Immunotherapy Alliance, University of Oslo, 0379 Oslo, Norway.

Molecular Therapy : the Journal of the American Society of Gene Therapy
|August 14, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a precise CRISPR/Cas9 gene editing tool for correcting single gene defects in T cells, offering a new therapy for Inborn errors of immunity (IEI) without harmful side effects.

Keywords:
CRISPR-Cas9 gene correctionautologous T cell therapyex vivo gene editinggene therapyhomology-directed repairinborn errors of immunitynon-viral genome editingplatform technologyprimary T cell editingsingle-nucleotide variant correction

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Area of Science:

  • Immunology
  • Gene Therapy
  • Molecular Biology

Background:

  • Current gene editing strategies for Inborn errors of immunity (IEI) can disrupt gene expression.
  • Autologous hematopoietic stem cell transplantation is not suitable for all patients.
  • T cell gene correction offers an alternative therapeutic strategy for lymphoid IEIs.

Purpose of the Study:

  • To develop and validate an efficient T cell single nucleotide variant (SNV) correction platform using homology-directed repair (HDR).
  • To assess the efficacy and safety of the HDR-based platform in preclinical models of IEI.

Main Methods:

  • Utilized homology-directed repair (HDR) for precise SNV correction in T cells.
  • Employed IEI models including STAT1 gain-of-function (STAT1-GOF), Cartilage Hair Hypoplasia (CHH), Deficiency of ADA2 (DADA2), and Autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED).
  • Conducted comprehensive safety profiling using GUIDE-seq, single-cell RNA sequencing, long-read genome sequencing, and proteomics.

Main Results:

  • Achieved up to 80% correction efficiency in the selected IEI models.
  • Demonstrated functional correction of disease phenotypes in preclinical models.
  • Confirmed no significant genomic, transcriptomic, or proteomic aberrations post-editing.

Conclusions:

  • Established HDR-based SNV editing as a viable and portable platform for autologous T cell therapies.
  • This approach represents a significant advancement toward a broad-spectrum gene correction strategy for monogenic immune disorders.
  • The platform shows promise for clinical development in treating diverse IEIs.