Base editing of the HBG promoter induces potent fetal hemoglobin expression with no detectable off-target mutations in human HSCs

Cell Stem Cell. 2023 Dec 7;30(12):1624-1639.e8. doi: 10.1016/j.stem.2023.10.007. Epub 2023 Nov 20.

Abstract

Reactivating silenced γ-globin expression through the disruption of repressive regulatory domains offers a therapeutic strategy for treating β-hemoglobinopathies. Here, we used transformer base editor (tBE), a recently developed cytosine base editor with no detectable off-target mutations, to disrupt transcription-factor-binding motifs in hematopoietic stem cells. By performing functional screening of six motifs with tBE, we found that directly disrupting the BCL11A-binding motif in HBG1/2 promoters triggered the highest γ-globin expression. Via a side-by-side comparison with other clinical and preclinical strategies using Cas9 nuclease or conventional BEs (ABE8e and hA3A-BE3), we found that tBE-mediated disruption of the BCL11A-binding motif at the HBG1/2 promoters triggered the highest fetal hemoglobin in healthy and β-thalassemia patient hematopoietic stem/progenitor cells while exhibiting no detectable DNA or RNA off-target mutations. Durable therapeutic editing by tBE persisted in repopulating hematopoietic stem cells, demonstrating that tBE-mediated editing in HBG1/2 promoters is a safe and effective strategy for treating β-hemoglobinopathies.

Keywords: BCL11A binding site; HBG 1/2 promoter; hematopoietic stem cell; off-target mutation; transformer base editor; β-hemoglobinopathies; γ-globin reactivation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • CRISPR-Cas Systems
  • Fetal Hemoglobin / genetics
  • Fetal Hemoglobin / metabolism
  • Gene Editing*
  • Hematopoietic Stem Cells / metabolism
  • Hemoglobinopathies* / genetics
  • Hemoglobinopathies* / metabolism
  • Humans
  • Mutation / genetics
  • Transcription Factors / metabolism
  • gamma-Globins / genetics
  • gamma-Globins / metabolism

Substances

  • Fetal Hemoglobin
  • gamma-Globins
  • Transcription Factors