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Designing genome editing experiments with EditABLE

Year: 2026
Type: article
Abstract: CRISPR-Cas genome editing is transformative; however, there is no simple tool available for determining the optimal genome editing technology to create specific mutations for experimentation or to correct mutations as a curative therapy for specific diseases. We developed editABLE, an online resource (editable-app.stanford.edu) to provide computationally validated CRISPR editors and guide RNAs based on user provided sequence data. We demonstrate the utility of editABLE by applying it to one of the most common monogenic disorders, autosomal dominant polycystic kidney disease (ADPKD), identifying specific editing tools across the landscape of ADPKD mutations.
DOI: 10.1186/s13059-026-04095-x
Authors: Demetrios S. Maxim, Juliet Sostena, Najani Shanee Johnson, David Wei Wu, Vivek Charu, Jennefer N. Carter, Shuchi Anand, George M. Church, Vivek Bhalla
Institutions: Stanford Medicine, Stanford University, University at Albany, State University of New York, University of Pennsylvania, Harvard University, Wyss Institute for Biologically Inspired Engineering
Language: English
Open Access status: gold
Estimated APC paid: $5,490
OpenAlex ID: W7160754861
FWCI: 3.639
Cites: 44
Cited by: 3
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