Minimizing Off‐Target Effects of CRISPR‐Cas9 With Optimized sgRNA: Evaluation of Efficiency and Specificity in the Tumor Protein 53 (TP53) Region
Ali Mertcan Köse, Monia Ranalli, Drenka Trivanovic, Irina Maslovaric · 2026
Read Minimizing Off‐Target Effects of CRISPR‐Cas9 With Optimized sgRNA: Evaluation of Efficiency and Specificity in the Tumor Protein 53 (TP53) Region by Ali Mertcan Köse, Monia Ranalli, Drenka Trivanovic, Irina Maslovaric (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13576857.txt.
Description
Ali Mertcan Köse and three colleagues work on cutting the off-target cuts made by CRISPR-Cas9 gene editing, in a 2026 paper focused on the TP53 gene region. The editing tool follows a guide RNA to a DNA address, yet near-matching addresses can be cut by mistake. Scoring those risky spots well is key to safe design.
The team used latent class analysis to sort off-target sites into three levels: low, middle, and high. Machine learning classifiers then measured how mismatches at each spot within those levels changed outcomes. Their framework also identifies the short PAM anchor sequences that the editor needs beside its target. The authors present the level system as a way to design guides that hit the intended variant while sparing look-alike sites, and they frame it for future editing work on other genes.
Catalog record
| CREATOR | Ali Mertcan Köse, Monia Ranalli, Drenka Trivanovic, Irina Maslovaric |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44178 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |