Publications by authors named "Zhi-Can Fu"
Article Synopsis
- The text discusses the challenges in accurately identifying RNA editing sites due to DNA mutations and errors in sequencing methods.
- It introduces a computational framework called DEMINING that employs a deep learning model (DeepDDR) to separate RNA editing from DNA mutations using RNA sequencing data.
- When tested on samples from acute myeloid leukemia patients, DEMINING reveals previously overlooked mutation and editing sites, which may relate to increased gene expression and neoantigen production.
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.
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- Prime editors (PEs) allow for precise genetic modifications at specific locations in the genome, but off-target mutations can still occur.
- A study was conducted to investigate whether prime editor 3 (PE3) causes additional unintended mutations independent of the guide RNA in mammalian cells.
- The results showed no evidence of guide-independent off-target effects, indicating that PE3 has a high level of editing specificity.