Ann-Sophie Kröll

Ms. Ann-Sophie Kröll

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 April 2025 in Nature
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RSRachel A. Silverstein
Rachel A. Silverstein
NKNahye Kim
Nahye Kim
AKAnn-Sophie Kröll
Ann-Sophie Kröll
RWRussell T. Walton
Russell T. Walton
JDJustin Delano
Justin Delano
BKBenjamin P. Kleinstiver
Benjamin P. Kleinstiver

19 July 2024 in Nature Communications
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Journal Article
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DKDominik Kiemel
Dominik Kiemel
AKAnn-Sophie Kröll
Ann-Sophie Kröll
Solène DenollySolène Denolly
Solène Denolly
UHUta Haselmann
Uta Haselmann
JBJean-François Bonfanti
Jean-François Bonfanti
RBRalf Bartenschlager
Ralf Bartenschlager
Dengue fever represents a significant medical and socio-economic burden in (sub)tropical regions, yet antivirals for treatment or prophylaxis are lacking. JNJ-A07 was described as highly active against the different genotypes within each serotype of the disease-causing dengue virus (DENV). Based on clustering of resistance mutations it has been assumed to target DENV non-structural protein 4B (NS4B). Using a photoaffinity labeling compound with high structural similarity to JNJ-A07, here we demonstrate binding to NS4B and its precursor NS4A-2K-NS4B. Consistently, we report recruitment of the compound to intracellular sites enriched for these proteins. We further specify the mechanism-of-action of JNJ-A07, which has virtually no effect on viral polyprotein cleavage, but targets the interaction between the NS2B/NS3 protease/helicase complex and the NS4A-2K-NS4B cleavage intermediate. This interaction is functionally linked to de novo formation of vesicle packets (VPs), the sites of DENV RNA replication. JNJ-A07 blocks VPs biogenesis with little effect on established ones. A similar mechanism-of-action was found for another NS4B inhibitor, NITD-688. In summary, we unravel the antiviral mechanism of these NS4B-targeting molecules and show how DENV employs a short-lived cleavage intermediate to carry out an early step of the viral life cycle.

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SKStefanie Maria Kremsreiter
Stefanie Maria Kremsreiter
AKAnn-Sophie Kröll
Ann-Sophie Kröll
KWKatharina Weinberger
Katharina Weinberger
HBHeike Boehm
Heike Boehm
Glycan–lectin interactions play an essential role in different cellular processes. One of their main functions is involvement in the immune response to pathogens or inflammation. However, cancer cells and viruses have adapted to avail themselves of these interactions. By displaying specific glycosylation structures, they are able to bind to lectins, thus promoting pathogenesis. While glycan–lectin interactions promote tumor progression, metastasis, and/or chemoresistance in cancer, in viral infections they are important for viral entry, release, and/or immune escape. For several years now, a growing number of investigations have been devoted to clarifying the role of glycan–lectin interactions in cancer and viral infections. Various overviews have already summarized and highlighted their findings. In this review, we consider the interactions of the lectins MGL, DC-SIGN, selectins, and galectins in both cancer and viral infections together. A possible transfer of ways to target and disrupt them might lead to new therapeutic approaches in different pathological backgrounds.

10 July 2025 in Science
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Journal Article
Closed access
HLHsiu-Chuan Lin
Hsiu-Chuan Lin
JJJasper Janssens
Jasper Janssens
BEBenedikt Eisinger
Benedikt Eisinger
PHPhilipp Hornauer
Philipp Hornauer
AKAnn-Sophie Kröll
Ann-Sophie Kröll
BTBarbara Treutlein
Barbara Treutlein
Human neurons programmed through transcription factor (TF) overexpression model neuronal differentiation and disease. However, the diversity of neuronal subtypes programmable in vitro remains unresolved. We modulated developmental signaling pathways combined with TF overexpression to explore the spectrum of neuron subtypes generated from pluripotent stem cells. We screened 480 morphogen signaling modulations coupled with TF induction using a multiplexed single-cell transcriptomic readout. Analysis of 700,000 cells identified diverse excitatory and inhibitory neurons patterned along the developmental axes of the neural tube. Patterning neural progenitors prior to TF overexpression expanded neuronal diversity by enabling access to regulons active in primary tissue counterparts. Our approach provides a strategy for programming diverse human cell subtypes as well as investigating how cooperative signaling drives neuronal fate.

13 December 2023 in bioRxiv
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HLHsiu-Chuan Lin
Hsiu-Chuan Lin
JJJasper Janssens
Jasper Janssens
AKAnn-Sophie Kröll
Ann-Sophie Kröll
PHPhilipp Hornauer
Philipp Hornauer
MSMalgorzata Santel
Malgorzata Santel
BTBarbara Treutlein
Barbara Treutlein
Human neurons programmed through transcription factor (TF) overexpression model neuronal differentiation and neurological diseases. However, programming specific neuron types remains challenging. Here, we modulate developmental signaling pathways combined with TF overexpression to explore the spectrum of neuron subtypes generated from pluripotent stem cells. We screened 480 morphogen signaling modulations coupled with NGN2 or ASCL1/DLX2 induction using a multiplexed single-cell transcriptomic readout. Analysis of 700,000 cells identified diverse excitatory and inhibitory neurons patterned along the anterior-posterior and dorsal-ventral axes of neural tube development. We inferred signaling and TF interaction networks guiding differentiation of forebrain, midbrain, hindbrain, spinal cord, peripheral sympathetic and sensory neurons. Our approach provides a strategy for cell subtype programming and to investigate how cooperative signaling drives neuronal fate.

4 December 2024 in bioRxiv
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BWBenedict Wolf
Benedict Wolf
PSPegi Shehu
Pegi Shehu
LBLuca Brenker
Luca Brenker
ABAnna von Bachmann
Anna von Bachmann
AKAnn-Sophie Kröll
Ann-Sophie Kröll
DNDominik Niopek
Dominik Niopek
Domain insertion engineering is a powerful approach to juxtapose otherwise separate biological functions, resulting in proteins with new-to-nature activities. A prominent example are switchable protein variants, created by receptor domain insertion into effector proteins. Identifying suitable, allosteric sites for domain insertion, however, typically requires extensive screening and optimization. We present ProDomino, a novel machine learning pipeline to rationalize domain recombination, trained on a semi-synthetic protein sequence dataset derived from naturally occurring intradomain insertion events. ProDomino robustly identifies domain insertion sites in proteins of biotechnological relevance, which we experimentally validated in E. coli and human cells. Finally, we employed light- and chemically regulated receptor domains as inserts and demonstrate the rapid, model-guided creation of potent, single-component opto- and chemogenetic protein switches. These include novel CRISPR-Cas9 and -Cas12a variants for inducible genome engineering in human cells. Our work enables one-shot domain insertion engineering and substantially accelerates the design of customized allosteric proteins.