Nucleotide metabolism constrains prime editing in hematopoietic stem and progenitor cells
Levesque, S.; Verma, A.; Bauer, D. E.
Show abstract
Therapeutic prime editing of hematopoietic stem and progenitor cells (HSPCs) holds great potential to remedy blood disorders. Since quiescent cells have low nucleotide levels and resist retroviral infection, we hypothesized that nucleotide metabolism could limit reverse transcription mediated prime editing in HSPCs. We demonstrate that deoxynucleoside supplementation and Vpx-mediated degradation of SAMHD1 improve prime editing efficiency in HSPCs, especially when coupled with editing approaches that evade mismatch repair.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An aptamer-mediated base editing platform for simultaneous knock-in and multiple gene knockout for allogeneic CAR-T cells generation 96%
- Development and IND-enabling studies of a novel Cas9 genome-edited autologous CD34+ cell therapy to induce fetal hemoglobin for sickle cell disease 96%
- CD33 Epitope Editing Unlocks UM171-Expanded Cord Blood Grafts for AML Immunotherapy 96%
Similar papers in this journal
- Adenine base editing is an efficient approach to restore function in FA patient cells without double-stranded DNA breaks 97%
- Functional Screening in human HSPCs identifies optimized protein-based enhancers of Homology Directed Repair 96%
- Simultaneous inhibition of DNA-PK and Pol{Theta} improves integration efficiency and precision of genome editing 95%
Similar papers in this journal
- Epigenetic control of multiple genes with a single lentiviral vector encoding transcriptional repressors fused to compact zinc finger arrays 94%
- In vitro characterization of engineered red blood cells as potent viral traps against HIV-1 and SARS-CoV-2 94%
- CRISPRCas9-mediated gene disruption of endogenous co-receptors confers broad resistance to HIV-1 in human primary cells and humanized mice 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.