Prime Editing Efficiency Optimization

Prime Editing Efficiency Optimization is a computational or experimental methodology designed to enhance the precision, yield, and reproducibility of prime editing outcomes by systematically refining editing parameters, guide design, delivery strategies, or cellular conditions to maximize target modification accuracy and minimize off-target effects.

27

Publications

3.7K

Citations

236

Authors

83

Institutions

Publications per year

2017–2026

27

Authors

236

  1. XH
    Xingxu Huang

    ShanghaiTech University, China

    4 publications · 573 citations

    4

    h-index

  2. ML
    Minhui Lu

    China Agricultural University, China

    3 publications · 386 citations

    3

    h-index

  3. YJ
    Yuanyuan Jiang

    China Agricultural University, China

    3 publications · 386 citations

    3

    h-index

  4. GA
    Gregory A. Newby

    Howard Hughes Medical Institute, United States

    3 publications · 1.6K citations

    3

    h-index

  5. PL
    Pengpeng Liu

    University of Massachusetts Chan Medical School, United States

    3 publications · 81 citations

    3

    h-index

1–5 of 236

Venues

  1. Nature Biotechnology

    5 publications · 1.2K citations

    5

    h-index

  2. Genome biology

    3 publications · 500 citations

    3

    h-index

  3. Nature Communications

    3 publications · 174 citations

    3

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 57 citations

    2

    h-index

  5. Cell

    2 publications · 914 citations

    2

    h-index

1–5