bioRxiv : the preprint server for biology · 2023
Creation of de novo cryptic splicing for ALS/FTD precision medicine.
ПрепринтСтатьяНазвание и аннотация: Перевод пока не подготовлен
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Wilkins Oscar G, Chien Max Z Y J, Wlaschin Josette J, Pisliakova Maria, Thompson David, Digby Holly, Simkin Rebecca L, Diaz Juan Antinao, Mehta Puja R, Keuss Matthew J, Zanovello Matteo, Brown Anna-Leigh, Harley Peter, Darbey Annalucia, Karda Rajvinder, Fisher Elizabeth M C, Cunningham Tom J, Le Pichon Claire E, Ule Jernej, Fratta Pietro
Аннотация
A system enabling the expression of therapeutic proteins specifically in diseased cells would be transformative, providing greatly increased safety and the possibility of pre-emptive treatment. Here we describe "TDP-REG", a precision medicine approach primarily for amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), which exploits the cryptic splicing events that occur in cells with TDP-43 loss-of-function (TDP-LOF) in order to drive expression specifically in diseased cells. In addition to modifying existing cryptic exons for this purpose, we develop a deep-learning-powered algorithm for generating customisable cryptic splicing events, which can be embedded within virtually any coding sequence. By placing part of a coding sequence within a novel cryptic exon, we tightly couple protein expression to TDP-LOF. Protein expression is activated by TDP-LOF in vitro and in vivo, including TDP-LOF induced by cytoplasmic TDP-43 aggregation. In addition to generating a variety of fluorescent and luminescent reporters, we use this system to perform TDP-LOF-dependent genomic prime editing to ablate the UNC13A cryptic donor splice site. Furthermore, we design a panel of tightly gated, autoregulating vectors encoding a TDP-43/Raver1 fusion protein, which rescue key pathological cryptic splicing events. In summary, we combine deep-learning and rational design to create sophisticated splicing sensors, resulting in a platform that provides far safer therapeutics for neurodegeneration, potentially even enabling preemptive treatment of at-risk individuals.