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Schmidheini, L.

Publications and source records attributed to Schmidheini, L..

5 recordsLinked to original sources

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↗

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↗

Prime editing of the beta-1 adrenoceptor in the brain reprograms mouse behavior

Prime editing is a highly versatile genome editing technology that holds great potential for treating genetic diseases1, 2. While in vivo prime editing has recently been conducted in the brain, liver, heart, and retina3-6, application of this technology to modulate neural circuits in the brain has not been reported yet. Here, we employ adeno-associated viral vectors to deliver optimized intein-split prime editors into the brain of mice. Delivery into newborn pups via intracerebroventricular injection resulted in up to 44.0% editing at the Dnmt1 locus in the cortex (on average 34.8{+/-}9.8% after 6 months). In addition, we obtained up to 28.1% editing at the Adrb1 locus in the cortex (on average 14.7{+/-}11.6% after 6 months). The introduced Adrb1A187V mutation is a naturally occurring variant of the {beta}1-adrenergic receptor, which has previously been linked to increased activity and natural short sleep7. Similarly, we observed an increase in the activity and exploratory behavior of treated animals. This study demonstrates the potential of prime editing for treating genetic diseases in the central nervous system and for reprogramming molecular pathways that modulate animal behavior.

genetics↗

Treatment of a metabolic liver disease by in vivo prime editing in mice

Prime editing is a highly versatile CRISPR-based genome editing technology with the potential to correct the vast majority of pathogenic mutations (1). However, correction of a disease phenotype in vivo in somatic tissues has not been demonstrated thus far. Here, we establish proof-of-concept for in vivo prime editing and repair the metabolic liver disease phenylketonuria (PKU) in mice. We first developed a size-reduced SpCas9 prime editor (PE) lacking the RNaseH domain of the reverse transcriptase (PE2{Delta}RnH), and a linker- and NLS-optimized intein-split PE construct (PE2 p.1153) for delivery by adeno-associated virus (AAV) vectors. Systemic dual AAV-mediated delivery of this variant into the liver of neonatal mice enabled installation of a transversion mutation at the Dnmt1 locus with an average efficiency of 15%, and delivery of unsplit PE2{Delta}RnH using human adenoviral vector 5 (AdV5) further increased editing rates to 58%. PE2{Delta}RnH-encoding AdV5 was also used to correct the disease-causing mutation of the phenylalanine hydroxylase (Pah)enu2 allele in phenylketonuria (PKU) mice with an average efficiency of 8% (up to 17.3%), leading to therapeutic reduction of blood phenylalanine (L-Phe) levels. Our study demonstrates in vivo prime editing in the liver with high precision and editing rates sufficient to treat a number of metabolic liver diseases, emphasizing the potential of prime editing for future therapeutic applications. One Sentence SummaryIn vivo prime editing corrects phenylketonuria in mice.

genetics↗

Replacing the SpCas9 HNH domain by deaminases generates compact base editors with an alternative targeting scope

Base editors are RNA-guided deaminases that enable site-specific nucleotide transitions. The targeting scope of these Cas-deaminase fusion proteins critically depends on the availability of a protospacer adjacent motif (PAM) at the target locus and is limited to a window within the CRISPR-Cas R-loop, where single stranded (ss)DNA is accessible to the deaminase. Here, we reason that the Cas9-HNH nuclease domain sterically constrains ssDNA accessibility, and demonstrate that omission of this domain expands the editing window. By exchanging the HNH nuclease domain with an adenosine deaminase we furthermore engineer adenine base editor variants (HNHx-ABE) with PAM-proximally shifted editing windows. This work expands the targeting scope of base editors, and provides base editor variants that are substantially smaller. It moreover informs of potential future directions in Cas9 protein engineering, where the HNH domain could be replaced by other enzymes that act on ssDNA.

bioengineering↗