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Updated: Jul 15, 2025

Genome Editing and Directed Differentiation of hPSCs for Interrogating Lineage Determinants in Human Pancreatic Development
Published on: March 5, 2017
Genome editing of patient-derived iPSCs identifies a deep intronic variant causing aberrant splicing in hemophilia A
Takafumi Hiramoto1, Hiroshi Inaba2, Nemekhbayar Baatartsogt1
1Department of Biochemistry, Jichi Medical University School of Medicine, Shimotsuke, Tochigi, Japan.
Abstract:
The importance of genetic diagnosis for patients with hemophilia has been recently demonstrated. However, the pathological variant cannot be identified in some patients. Here, we aimed to identify the pathogenic intronic variant causing hemophilia A using induced pluripotent stem cells (iPSCs) from patients and genome editing. We analyzed siblings with moderate hemophilia A and without abnormalities in the F8 exon. Next-generation sequencing of the entire F8 revealed 23 common intron variants. Variant effect predictor software indicated that the deep intronic variant at c.5220-8563A>G (intron 14) might act as a splicing acceptor. We developed iPSCs from patients and used genome editing to insert the elongation factor 1α promoter to express F8 messenger RNA (mRNA). Then, we confirmed the existence of abnormal F8 mRNA derived from aberrant splicing, resulting in a premature terminal codon as well as a significant reduction in F8 mRNA in iPSCs due to nonsense-mediated RNA decay. Gene repair by genome editing recovered whole F8 mRNA expression. Introduction of the intron variant into human B-domain-deleted F8 complementary DNA suppressed factor VIII (FVIII) activity and produced abnormal FVIII lacking the light chain in HEK293 cells. Furthermore, genome editing of the intron variant restored FVIII production. In summary, we have directly proven that the deep intronic variant in F8 results in aberrant splicing, leading to abnormal mRNA and nonsense-mediated RNA decay. Additionally, genome editing targeting the variant restored F8 mRNA and FVIII production. Our approach could be useful not only for identifying causal variants but also for verifying the therapeutic effect of personalized genome editing.
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