Manuscript citation: LDLR variant classification through activity-normalized prime editing screening
Phillip J. Zhou, Minja Velimirovic, Tian Yu, Vojislav Gligorovski, Nicolas Mathis, Jing Zhao, Quang Vinh Phan, Felicitas Vogd, Jayoung Ryu, Qisheng Pan, Atharva Tyagi, David B. Ascher, Gerald Schwank, Luca Pinello, Christopher A. Cassa, Richard I. Sherwood
bioRxiv 2025.12.16.694467; doi: https://doi.org/10.64898/2025.12.16.694467
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Protocol status: Working
Created: April 20, 2026
Last Modified: April 22, 2026
Protocol Integer ID: 315408
Keywords: crispr screen, snp, ldl uptake screen, prime editing, activity normalization, variant clinical classification, ldlr prime editing screening, ldlr variant effect on cholesterol uptake, deep mutational scanning of the ldlr gene, crispr prime editing, ldlr gene, functional consequences of ldlr variant, deleterious ldlr variant, ldlr variant, low density lipoprotein receptor, density lipoprotein cholesterol, using prime editing, ldlr, prime editing, using crispr, measuring ldlr, familial hypercholesterolemia, high ldl, screen ldlr137, primary cause of familial hypercholesterolemia, variants in the hct116 cell line, deep mutational scanning, cholesterol uptake, ldl, entire length of ldlr, screening, hct116 cell line, premature cardiovascular disease
Funders Acknowledgements:Luca Pinello
Grant ID: UM1HG012010