Base Editing Efficiency
Base Editing Efficiency - Related Videos
02:58
CRISPR-Mediated Base Editing Tools: A Genome Editing Technique to Induce Targeted Base Substitution
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2025
This video explains the concept of CRISPR-mediated cytosine base editors for inducing targeted nucleotide substitution.
08:31
Genome Editing
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2023
A well-established technique for modifying specific sequences in the genome is gene targeting by homologous recombination, but this method can be laborious and only works in certain organisms. Recent advances have led to the development of “genome editing”, which works by inducing double-strand breaks in DNA using engineered nuclease enzymes guided to target genomic sites by either proteins or RNAs that recognize specific sequences. When a cell attempts to repair this damage, mutations can be...
09:56
Improved Genome Editing via Oviductal Nucleic Acids Delivery-based In Vivo Electroporation Technique for Knockout Mice Generation
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2025
The efficiency of the Improved Genome Editing via Oviductal Nucleic Acids Delivery (I-GONAD) method is comparable to traditional microinjection, which requires zygote collection from donor females and transfer to pseudo-pregnant females. This protocol demonstrates its effectiveness by introducing CRISPR/Cas9-induced mutations into the ROSA26 locus on chromosome 6.
09:16
Efficient Generation and Editing of Feeder-free IPSCs from Human Pancreatic Cells Using the CRISPR-Cas9 System
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Cited by 4 •
2017
This protocol describes in detail the generation of footprint-free induced pluripotent stem cells (iPSCs) from human pancreatic cells in feeder-free conditions, followed by editing using CRISPR/Cas9 ribonucleoproteins and characterization of the modified single-cell clones.
02:23
RNA Editing
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2020
RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
FAQs
The guide RNA brings the catalytically modified Cas protein to a complementary DNA sequence, where it positions the deaminase near the intended base. The deaminase then enables the relevant cytosine-to-thymine or adenine-to-guanine conversion. Because this mechanism avoids a double-strand DNA break, efficiency reflects how successfully the components produce the desired substitution at the target site.
Performance can change with the editor design, guide sequence, genomic location, delivery method, and cell type. These variables influence whether the editing components reach the target and position the deaminase effectively. Consequently, an editor that performs well at one site or in one cellular setting may produce a different proportion of intended changes elsewhere.
Bystander edits are additional base changes that occur near the intended target and can complicate performance assessment. A high proportion of edited molecules does not necessarily indicate a desirable outcome if many carry unintended accompanying changes. Researchers therefore need to distinguish the intended substitution from nearby bystander changes when evaluating precision and experimental success.
Evaluation should separate molecules carrying the desired base conversion from those containing other changes at the target site. The resulting proportion of intended substitutions provides the efficiency measure, while the presence of bystander edits adds important context about precision. This distinction helps researchers compare editor and guide configurations and identify conditions that require optimization.
Optimization can focus on the choice of editor, guide sequence, genomic location, delivery method, and cell type. These factors should be considered together because changing one may alter the outcome produced by the others. Comparing results across such conditions helps identify a configuration that increases intended changes while providing a clearer assessment of bystander effects.
The measure is useful when researchers need to optimize targeted sequence changes for functional genomics, disease modeling, or potential therapeutic development. In functional studies, it helps assess whether the intended substitution was produced sufficiently to investigate its consequences. For disease-related or therapeutic work, it also provides information about performance and the precision of the resulting edits.