Gerald Schwank

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Associate Professor

University of Zurich

Switzerland

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About

Gerald Schwank is an Associate Professor at the University of Zurich, Switzerland. His research focuses on advanced genomic editing techniques and their applications in treating genetic disorders, particularly in metabolic liver diseases and neurological conditions. Recent publications include work on prime editing efficiency and machine learning applications in gene editing contexts.

Recent Grants

Grant: Close

High-Sensitivity Fluorescence/Luminescence Plate Reader system for in vitro screening applications

Open Date: 2021-12-01

Close Date: 2022-11-30

Grant: Close

Establishment of in vivo CRISPR-Cas base editor approaches to treat monogenetic liver diseases

Open Date: 2019-04-01

Close Date: 2023-03-31

Grant: Close

Patient-derived glial precursor cell therapy for vanishing white matter disease

Open Date: 2016-11-01

Close Date: 2018-10-31

Grant: Close

CRISPR/Cas9 genome-editing in stem cell organoids to functionally characterize regulators of tissue homeostasis and tumor driver genes

Open Date: 2015-04-01

Close Date: 2018-03-31

Grant: Close

Defining the mechanisms regulating intestinal homeostasis

Open Date: 2012-05-01

Close Date: 2015-04-30

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2021

Collaborators (19)

Niek van Til

Assistant professor

Amsterdam UMC Locatie VUmc

NETHERLANDS

Gerald Schwank

Research Interests

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About

Recent Grants

Articles (22)

Treatment of a metabolic liver disease in mice with a transient prime editing approach.

Predicting adenine base editing efficiencies in different cellular contexts by deep learning.

Strategies for Interdisciplinary Human Gene Editing Research: Insights from a Swiss Project.

In vivo base editing of a pathogenic Eif2b5 variant improves vanishing white matter phenotypes in mice.

Enhancing prime editor activity by directed protein evolution in yeast.

Continuous directed evolution of a compact CjCas9 variant with broad PAM compatibility

Therapeutic liver cell transplantation to treat murine PKU

Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs.

Machine learning prediction of prime editing efficiency across diverse chromatin contexts.

Base editing of <i>Ptbp1</i> in neurons alleviates symptoms in a mouse model of Parkinson's disease.

Targeted knock-in of <i>NCF1</i> cDNA into the <i>NCF2</i> locus leads to myeloid phenotypic correction of p47 <sup><i>phox</i></sup> -deficient chronic granulomatous disease.

Predicting prime editing efficiency and product purity by deep learning

Mutant SF3B1 promotes malignancy in PDAC.

Loss of Rnf31 and Vps4b sensitizes pancreatic cancer to T cell-mediated killing.

In vivo prime editing of a metabolic liver disease in mice.

SF3B1 facilitates HIF1-signaling and promotes malignancy in pancreatic cancer.

Drug screening and genome editing in human pancreatic cancer organoids identifies drug-gene interactions and candidates for off-label treatment.

In vivo targeting of a variant causing vanishing white matter using CRISPR/Cas9

miR-802 Suppresses Acinar-to-Ductal Reprogramming During Early Pancreatitis and Pancreatic Carcinogenesis

Identification of HIF-dependent alternative splicing in gastrointestinal cancers and characterization of a long, coding isoform of SLC35A3

In vivo adenine base editing of PCSK9 in macaques reduces LDL cholesterol levels

In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA

Collaborators (19)

Niek van Til

Lucas Kissling

Vivi Heine

Zacharias Kontarakis

Hiu Man Grisch-Chan

Matthias Peter

Martin Jinek

Michael Krauthammer

Manfred Kopf

B Leeners

Marjo S van der Knaap

Lukas Schmidheini

Kevin Holden

Ute Modlich

Janine Reichenbach

giovanni pellegrini

Yuliang He

Masako Monika Kaufmann

Markus Stoffel

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