• Context: this was a talk I attended in-person at the Innovative Genomics Institute Building (IGIB)
  • DOI: 10.1038/s41587-024-02240-0

  • Single Nucleotide Variant (SNV)
    • 96% of human genetic variation is due to SNVs
    • Each person has 4-5M genetic variants (small % of genome - 3.2B bp)
      • Most of which are in nc regions
      • e.g. T → A in HBB, causes SCD
    • Most variants (2/3) identified are unclassified, and almost all are from individuals w/ European backgrounds (inequity in precision medicine)
    • Functional genomics: methods to study variants in lab settings are needed
  • Traditional genome editing using DSBs
    • DSB repair (2 pathways are in competition - no way to get 100% one pathway yet)
      1. EJ → indels
      2. HDR (+ DNA template) → precise DNA manipulation
  • “Nontraditional” genome editing tools: don’t use DSBs; do chemistry on single nt bases instead
    • Base editing
      • nCas9 + ssDNA cytidine deaminase + gRNA
        • CBE: cytidine → uridine (C·G → U·G → T·A conversion)
        • ABE: A·T → I·T → G·C conversion
          • ABE0.1 couldn’t edit DNA 😢 edits RNA at UACG motifs + edits DNA at TACG motifs (low but detectable editing activity)
            • How important are each of the nts in the TACG motif?
              • Method: GFP reporter links DNA editing w/ fluorescence (higher sensitivity)
                • EGFP cell sorting?
              • G: favored but not critical for ABE0.1 editing
              • T is critical for ABE0.1 editing; later evolved ones tolerate all bases but prefer T, slight aversion for A
              • C and A are favored but not critical for ABE0.1 editing; evolved ABEs tolerate all bases at this position
          • ABEs were evolved from TadA (tRNA deaminase enzyme)
            • Directed evolution selection system in E. coli
            • How important are each of the 14 mutations in ABE7.0?
              • Method: Single nt reversion analysis
              • Mutations cause host system-dependent impacts on activity
                • Reversion combinations increase on-target editing activity
        • ABE + CBE covers ~63% of human point mutations
  • Summary: insights into ABE evolution
    • Dev of new BEs will req engineering/evolving new nucleic acid modifying enzymes
    • TadA was good starting point for ABEs due to its substrate promiscuity
    • Host system-specific selection pressures may have resulted in mutations not optimal in other systems (bacteria vs. mammalian cells)
    • Reversion analyses identified mutations in ABEs that increase on-target editing activity
  • Multiplexing w/ BEs
    • ex. of treatment involving ABE multiplexing: https://www.ukri.org/news/world-first-use-of-base-edited-cells-to-treat-incurable-leukaemia/
    • gRNA crosstalk if multiplex ABE and CBE together - get mixtures of genotypes and undesired genome editing byproducts
      • MOBEs avoid these byproducts by recruiting deaminases directly to gRNA
    • Engineering aptamer BE systems (Quinn Cowan)
      • Recruitment of deaminases directly to gRNA via aptamer-coat protein interactions
      • Result: MOBEs (Multiplexed Orthogonal Base Editors)
        • Increasing MOBE editing activity
          • episomal editing?
  • SNV combos in polygenic disease
    • tool: OLIDA (oligogenic diseases database)
      • digenic and monogenic diseases
        • decided to start w/ digenic diseases: modeling digenic diseases w/ MOBEs
          • protospacer