Biology subjects

Talas, A.

Publications and source records attributed to Talas, A..

6 recordsLinked to original sources

bioRxiv2024

Treatment of a genetic liver disease in mice through transient prime editor expression

Prime editing is a versatile genome editing technology that does not rely on DNA double-strand break formation and homology-directed repair (HDR). This makes it a promising tool for correcting pathogenic mutations in tissues consisting predominantly of postmitotic cells, such as the liver. While recent studies have already demonstrated proof-of-concept for in vivo prime editing, the use of viral delivery vectors resulted in prolonged prime editor (PE) expression, posing challenges for clinical application. Here, we developed an in vivo prime editing approach where we delivered the pegRNA using self-complementary adeno-associated viral (scAAV) vectors and the prime editor using nucleoside-modified mRNA encapsulated in lipid nanoparticles (LNPs). This methodology led to transient expression of the PE for 48h and 26% editing at the Dnmt1 locus using AAV doses of 2.5x1013 vector genomes (vg)/kg and a single dose of 3mg/kg mRNA-LNP. When targeting the pathogenic mutation in the Pahenu2 mouse model of phenylketonuria (PKU), we achieved 4.3% gene correction using an AAV dose of 2.5x1013 vg/kg and three doses of 2 mg/kg mRNA-LNP. Editing was specific to the liver and the intended locus, and was sufficient to reduce blood L-phenylalanine (Phe) levels from over 1500 {micro}mol/l to below the therapeutic threshold of 600 {micro}mol/l. Our study demonstrates the feasibility of in vivo gene correction in the liver with transient PE expression, bringing prime editing closer to clinical application.

bioengineering↗

bioRxiv2023

Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learning

Prime editing is a powerful genome editing technology, but its efficiency varies depending on the pegRNA design and target locus. Existing computational models for predicting prime editing rates are limited by their focus on specific edit types and by omitting the local chromatin environment. In our study, we developed machine learning models that predict prime editing efficiencies across a wide range of edit types up to 15 bp (PRIDICT2.0) and in different chromatin contexts (ePRIDICT). Both models can be accessed at www.pridict.it.

molecular biology↗

bioRxiv2022

Target-matched increased fidelity SpCas9 variants can edit any target without genome-wide off-target effects

Streptococcus pyogenes Cas9 (SpCas9) has been employed as a genome engineering tool with a promising potential within therapeutics. However, its off- target effects pose a major limitation for applications requiring high specificity. Approaches developed to date to mitigate this effect, including any of the increased fidelity (i.e., high-fidelity) SpCas9 variants, only provide efficient editing on a relatively small fraction of targets without detectable off-targets. Upon addressing this problem, we have revealed a rather unexpected cleavability ranking of target sequences, and a cleavage rule that governs the on-target and off-target cleavage of increased fidelity SpCas9 variants but not that of SpCas9-NG or xCas9. As a consequence of this rule, each target needs a matching-fidelity, optimal variant for efficient cleavage without detectable off-target effects. By exploiting this finding, we have developed an extended set of increased fidelity variants spanning across a wide range, with differences in fidelity small enough to comprise an optimal variant for any target, irrespective of its cleavability ranking. We have demonstrated efficient editing with maximum specificity even on those targets that have been challenged but failed in previous studies.

molecular biology↗

bioRxiv2022

SuperFi-Cas9 exhibits extremely high fidelity but reduced activity in mammalian cells

Several advances have been made to SpCas9, the most widely used CRISPR/Cas genome editing tool, to reduce its unwanted off-target effects. The most promising approach is the development of increased fidelity nuclease (IFN) variants of SpCas9, however, their fidelity has increased at the cost of reduced activity. SuperFi-Cas9 has been developed recently, and it has been described as a next-generation high fidelity SpCas9 variant, free from the drawbacks of the first-generation IFNs. In this study, we characterized the on-target activity and the off-target propensity of SuperFi-Cas9 in mammalian cells comparing it to first-generation IFNs. SuperFi-Cas9 demonstrated strongly reduced activity but exceptionally high fidelity exhibiting features that are in many aspects similar to those of the first-generation variants, such as evo- and HeFSpCas9. When combined with ABE8e, SuperFi-Cas9 produced DNA editing with high activity rate as well as high specificity by reducing both bystander and SpCas9-dependent off-target base editing.

molecular biology↗

bioRxiv2021

PEAR: a flexible fluorescent reporter for the identification and enrichment of successfully prime edited cells

Prime editing is a recently developed gene engineering tool that allows the introduction of short insertions, deletions or substitutions into the genome. However, the efficiency of prime editing, generally reaching around 10-30% editing, has not resembled its versatility. Here, Prime Editor Activity Reporter (PEAR), a sensitive fluorescent tool is introduced for the identification of single cells with prime editing activity. Possessing no background fluorescence, PEAR specifically reports on prime editing events in individual cells. By design, it ensures unrestricted flexibility for sequence variations in the full length of the target sequence. The application of PEAR as an enrichment marker of prime editing can increase the edited population by up to 70% and alleviate the burden of the otherwise time and labour consuming process of cloning of the correctly edited cells, therefore considerably improving the applicability of prime editing in fundamental research and biotechnological uses.

bioengineering↗

bioRxiv2017

Crossing enhanced and high fidelity SpCas9 nucleases to optimize specificity and cleavage

BackgroundThe propensity for off-target activity of Streptococcus pyogenes Cas9 (SpCas9) has been considerably decreased by rationally engineered variants with increased fidelity (eSpCas9; SpCas9-HF1). However, a subset of targets still generate considerable off-target effects. To deal specifically with these targets, we generated new \"Highly enhanced Fidelity\" nuclease variants (HeFSpCas9s) containing mutations from both eSpCas9 and SpCas9-HF1 and examined these improved nuclease variants side-by-side, to decipher the factors that affect their specificities and to determine the optimal nuclease for applications sensitive to off-target effects.\n\nResultsThese three increased-fidelity nucleases can routinely be used only with perfectly matching 20 nucleotide-long spacers; a matching 5' G extension being more detrimental to their activities than a mismatching one. HeFSpCas9s exhibit substantially improved specificity specifically for those targets for which eSpCas9 and SpCas9-HF1 have higher off-target propensity. There is also a ranking among the targets by their cleavability and off-target effects manifested by the increased fidelity nucleases. Furthermore, we show that the mutations in these variants may diminish the cleavage, but not the DNA-binding, of SpCas9s.\n\nConclusionsNo single nuclease variant shows generally superior fidelity; instead, for highest specificity cleavage, each target needs to be matched with an appropriate high fidelity nuclease. We provide here a framework for generating new nuclease variants for targets that currently have no matching optimal nuclease, and offer a simple mean for identifying the optimal nuclease for targets in the absence of accurate target-ranking prediction tools.

bioengineering↗