4.7 Article

Comparative targeting analysis of KLF1, BCL11A, and HBG1/2 in CD34+ HSPCs by CRISPR/Cas9 for the induction of fetal hemoglobin

期刊

SCIENTIFIC REPORTS
卷 10, 期 1, 页码 -

出版社

NATURE RESEARCH
DOI: 10.1038/s41598-020-66309-x

关键词

-

资金

  1. Jurgen Manchot Stiftung
  2. Fortune Tuebingen [2412-0-0, 2485-0-0]
  3. Clinician Scientist Program [4400-0]
  4. Forderverein fur krebskranke Kinder Tubingen e.V.
  5. University Children's Hospital of Tubingen
  6. University of Tubingen

向作者/读者索取更多资源

beta -hemoglobinopathies are caused by abnormal or absent production of hemoglobin in the blood due to mutations in the beta -globin gene (HBB). Imbalanced expression of adult hemoglobin (HbA) induces strong anemia in patients suffering from the disease. However, individuals with natural-occurring mutations in the HBB cluster or related genes, compensate this disparity through gamma -globin expression and subsequent fetal hemoglobin (HbF) production. Several preclinical and clinical studies have been performed in order to induce HbF by knocking-down genes involved in HbF repression (KLF1 and BCL11A) or disrupting the binding sites of several transcription factors in the gamma -globin gene (HBG1/2). In this study, we thoroughly compared the different CRISPR/Cas9 gene-disruption strategies by gene editing analysis and assessed their safety profile by RNA-seq and GUIDE-seq. All approaches reached therapeutic levels of HbF after gene editing and showed similar gene expression to the control sample, while no significant off-targets were detected by GUIDE-seq. Likewise, all three gene editing platforms were established in the GMP-grade CliniMACS Prodigy, achieving similar outcome to preclinical devices. Based on this gene editing comparative analysis, we concluded that BCL11A is the most clinically relevant approach while HBG1/2 could represent a promising alternative for the treatment of beta -hemoglobinopathies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据