Publications by authors named "Nadine Olk"

Article Synopsis
  • The COVID-19 pandemic has stressed global healthcare systems, highlighting the need for better methods to allocate treatment and resources in intensive care for critically ill patients.
  • Current risk assessment tools like SOFA and APACHE II have shown limited effectiveness in predicting outcomes for severe COVID-19 patients, necessitating additional monitoring tools, especially for those undergoing experimental therapies.
  • A study analyzing plasma proteins from critically ill COVID-19 patients identified 14 proteins that could predict survival more accurately than existing methods, achieving high classification accuracy, especially in relation to coagulation and complement processes.
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Only half of patients with relapsed B-cell precursor (BCP) acute lymphoblastic leukemia (ALL) currently survive with standard treatment protocols. Predicting individual patient responses to defined drugs prior to application would help therapy stratification and could improve survival With the purpose to aid personalized targeted treatment approaches, we developed a human-zebrafish xenograft (ALL-ZeFiX) assay to predict drug response in a patient in 5 days. Leukemia blast cells were pericardially engrafted into transiently immunosuppressed Danio rerio embryos, and engrafted embryos treated for the test case, venetoclax, before single-cell dissolution for quantitative whole blast cell analysis.

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Although the genes essential for life have been identified in less complex model organisms, their elucidation in human cells has been hindered by technical barriers. We used extensive mutagenesis in haploid human cells to identify approximately 2000 genes required for optimal fitness under culture conditions. To study the principles of genetic interactions in human cells, we created a synthetic lethality network focused on the secretory pathway based exclusively on mutations.

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