Associate Professor @UZH_en. We develop genome editing approaches for personalised treatment of rare diseases and cancer.
Zurich, Switzerland
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Gerald Schwank retweeted
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. science.org/doi/10.1126/scit… (1)
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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. science.org/doi/10.1126/scit…
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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. science.org/doi/10.1126/scit…
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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. nature.com/articles/s41467-0…
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We’re hiring! Join our in vivo immuno-engineering team @UZH_en
🔬 RNA–LNP Research Associate
🧬 Senior Research Associate (In vivo Oncology)
Apply👇
jobs.uzh.ch/job-vacancies/re…
jobs.uzh.ch/job-vacancies/se…
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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: rdcu.be/eHcN1
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Gerald Schwank retweeted
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
nature.com/articles/s41596-0…
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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!
Our paper describing an RNA-LNP prime editing strategy for treating phenylketonuria was published today in @natBME (1/7)
nature.com/articles/s41551-0…
@schwanklab @UZH_Science @UZH_en @KispiZuerich @ETH_en
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Gerald Schwank retweeted
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
biorxiv.org/content/10.1101/…
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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)
nature.com/articles/s41592-0…
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Read the full study at rdcu.be/dUOyZ and our media release at news.uzh.ch/en/articles/medi…
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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
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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!
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Gerald Schwank retweeted
Nature research paper: Structural mechanism of bridge RNA-guided recombination go.nature.com/3L13dfC
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Gerald Schwank retweeted
Our first in vivo primary NK screen that discovered new NK cellular checkpoints. Kudos for team for their 5 years of work. nature.com/articles/s41587-0… @YaleGenetics @YaleMed @YaleWestCampus @YaleCancer @YaleData
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