Gerald Schwank

Associate Professor @UZH_en.
We develop genome editing approaches for personalised treatment of rare diseases and cancer.

[András Tálas @talasandris]

Today in @ScienceTM, we report an in vivo prime editing strategy that corrects a disease-causing mutation and rescues phenotypes in a mouse model of citrullinemia type 1 (CTLN1), a devastating and often lethal liver disease. https://t.co/zuviDjvaSH (1)

[Gerald Schwank @schwanklab]

Excited to share our new work with the Häberle lab where we used RNA–LNP-mediated in vivo prime editing to correct a urea cycle mouse model. 3 doses of RNA-LNP normalized ammonia and citrulline levels, rescued survival, and restored ureagenesis. https://t.co/lYsjxALHIU

[Gerald Schwank @schwanklab]

Excited to share our new work with the Zeilhofer lab published in @ScienceTM where we used AAV-mediated prime editing to correct a pathogenic SCN1A mutation causing GEFS+ in mice. Treatment rescued survival and reduced febrile seizures to WT levels. https://t.co/5oBuXcEEj5

[Gerald Schwank @schwanklab]

Excited to share our new paper!
We used in vivo prime editing to install the Adrb1 A187V “short-sleep” variant in the mouse brain. This reshaped sleep architecture, increased exploration and memory, and restored REM sleep in an Alzheimer’s disease model. https://t.co/R2BRgQEpfR

[Gerald Schwank @schwanklab]

We’re hiring! Join our in vivo immuno-engineering team @UZH_en
🔬 RNA–LNP Research Associate
🧬 Senior Research Associate (In vivo Oncology)
Apply👇
https://t.co/fFGjndzPQE
https://t.co/wPk2Q9QLqa

[Gerald Schwank @schwanklab]

Led by @sharan_janjuha with @AcuitasTx @pardi_lab, our Nat Biomed Eng paper is out 🧬
We use in situ sequencing to read base & prime editing directly in tissues - from mouse brain (AAV) to macaque liver (RNA–LNP)-mapping lobules & redosing. Open access: https://t.co/uhohboUWnb

[Nicolas Mathis @nicopmat]

Excited to share our new protocol in #NatureProtocols! 🧬👨‍💻🎉
A comprehensive guide for using PRIDICT2.0 and ePRIDICT machine learning tools to design efficient #CRISPR-Cas9 prime editing experiments. 🧵
@UZH_Science @schwanklab @krauthammerlab
https://t.co/xsIu9WFfHi

[Gerald Schwank @schwanklab]

Congrats to the entire team and collaborators @uzh @AcuitasTx @KispiZuerich @ETH @upenn. Step-by-step we are getting closer to clinical translation of prime editing to treat metabolic liver diseases!

[András Tálas @talasandris]

Our paper describing an RNA-LNP prime editing strategy for treating phenylketonuria was published today in @natBME (1/7)
https://t.co/Ls0SuAE49R
@schwanklab @UZH_Science @UZH_en @KispiZuerich @ETH_en

[Martin Pacesa @MartinPacesa]

Have you ever wanted to design protein binders with ease? Today we present 𝑩𝒊𝒏𝒅𝑪𝒓𝒂𝒇𝒕, a user-friendly and open-source pipeline that allows to anyone to create protein binders de novo with high experimental success rates. @befcorreia @sokrypton

https://t.co/IPhMFpRgHh

[Gerald Schwank @schwanklab]

Read the full study at https://t.co/9KuvCzNQlT and our media release at https://t.co/kw8BCASxl5

[Gerald Schwank @schwanklab]

Excited to share our latest study!
Today in @naturemethods the @schwanklab and @krauthammerlab report in @marquark et al. 'Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs' (1/6)
https://t.co/lqDc5Kn2Xw

[Gerald Schwank @schwanklab]

Many thanks to @UZH_en @UZH_Science @UZH_IPT @ETH_en and @nicopmat @Amina_mollaysa #SaphiraMueller @KisslingLucas @tanjarothgangl @LSchmidheini @p_kulcsar #AhmedAllam and collaborators from the #ManfredKopf and #ToniCathomen labs!

[Gerald Schwank @schwanklab]

6) To apply TnpBmax in vivo we delivered it together with a PCSK9-targeting ωRNA via AAV9 into mice. This led to a robust PCSK9 knockout in the liver and a reduction in LDL-cholesterol levels

[nature @Nature]

Nature research paper: Structural mechanism of bridge RNA-guided recombination https://t.co/8WhcPKMDut

[Sidi Chen @sidichen]

Our first in vivo primary NK screen that discovered new NK cellular checkpoints. Kudos for team for their 5 years of work. https://t.co/d0e3Bguzou @YaleGenetics @YaleMed @YaleWestCampus @YaleCancer @YaleData