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Stephanie M. Linker

Researcher at ETH Zurich

Publications -  13
Citations -  214

Stephanie M. Linker is an academic researcher from ETH Zurich. The author has contributed to research in topics: Gene & Membrane. The author has an hindex of 5, co-authored 10 publications receiving 116 citations. Previous affiliations of Stephanie M. Linker include European Bioinformatics Institute & Boehringer Ingelheim.

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Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

TL;DR: This study applies parallel DNA methylation and transcriptome sequencing to differentiating human induced pluripotent stem cells to characterize splicing variation (exon skipping) and its determinants and reveals a previously underappreciated link betweenDNA methylation variation and splicing.
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Bacterial Glycogen Provides Short-Term Benefits in Changing Environments.

TL;DR: Real-time metabolomics and single-cell imaging are used to demonstrate that the internal storage polymer glycogen plays a crucial role in the dynamic physiological adaptation of Escherichia coli to fluctuating nutrients following carbon starvation, highlighting an underappreciated role of glycogen in rapidly providing carbon and energy in changing environments, thereby increasing survival and competition capabilities under fluctuations and nutrient-poor conditions.
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Carbon Nanotubes Mediate Fusion of Lipid Vesicles

TL;DR: It is shown that membrane-spanning carbon nanotubes (CNTs) can trigger spontaneous fusion of small lipid vesicles, and the distinct mechanism of CNT-mediated membrane fusion may be transferable, providing guidance in the development of fusion agents, e.g., for the targeted delivery of drugs or nucleic acids.
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Fragment Binding Pose Predictions Using Unbiased Simulations and Markov-State Models.

TL;DR: A computational method is introduced which is able to reliably predict binding sites and binding modes of fragment-like small molecules using solely the structure of the apo-protein and the ligand's chemical structure as input information.