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    New perspectives for viability studies with high-content analysis Raman spectroscopy (HCA-RS)
    (Berlin : Nature Publishing, 2019) Mondol, Abdullah S.; Töpfer, Natalie; Rüger, Jan; Neugebauer, Ute; Popp, Jürgen; Schie, Iwan W.
    Raman spectroscopy has been widely used in clinical and molecular biological studies, providing high chemical specificity without the necessity of labels and with little-to-no sample preparation. However, currently performed Raman-based studies of eukaryotic cells are still very laborious and time-consuming, resulting in a low number of sampled cells and questionable statistical validations. Furthermore, the approach requires a trained specialist to perform and analyze the experiments, rendering the method less attractive for most laboratories. In this work, we present a new high-content analysis Raman spectroscopy (HCA-RS) platform that overcomes the current challenges of conventional Raman spectroscopy implementations. HCA-RS allows sampling of a large number of cells under different physiological conditions without any user interaction. The performance of the approach is successfully demonstrated by the development of a Raman-based cell viability assay, i.e., the effect of doxorubicin concentration on monocytic THP-1 cells. A statistical model, principal component analysis combined with support vector machine (PCA-SVM), was found to successfully predict the percentage of viable cells in a mixed population and is in good agreement to results obtained by a standard cell viability assay. This study demonstrates the potential of Raman spectroscopy as a standard high-throughput tool for clinical and biological applications.
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    Structural insights into heme binding to IL-36α proinflammatory cytokine
    (Berlin : Nature Publishing, 2019) Wißbrock, Amelie; Goradia, Nishit; Kumar, Amit; Paul George, Ajay Abisheck; Kühl, Toni; Bellstedt, Peter; Ramachandran, Ramadurai; Hoffmann, Patrick; Galler, Kerstin; Popp, Jürgen; Neugebauer, Ute; Hampel, Kornelia; Zimmermann, Bastian; Adam, Susanne; Wiendl, Maximilian; Krönke, Gerhard; Hamza, Iqbal; Heinemann, Stefan H.; Frey, Silke; Hueber, Axel J.; Ohlenschläger, Oliver; Imhof, Diana
    Cytokines of the interleukin (IL)-1 family regulate immune and inflammatory responses. The recently discovered IL-36 family members are involved in psoriasis, rheumatoid arthritis, and pulmonary diseases. Here, we show that IL-36α interacts with heme thereby contributing to its regulation. Based on in-depth spectroscopic analyses, we describe two heme-binding sites in IL-36α that associate with heme in a pentacoordinated fashion. Solution NMR analysis reveals structural features of IL-36α and its complex with heme. Structural investigation of a truncated IL-36α supports the notion that the N-terminus is necessary for association with its cognate receptor. Consistent with our structural studies, IL-36-mediated signal transduction was negatively regulated by heme in synovial fibroblast-like synoviocytes from rheumatoid arthritis patients. Taken together, our results provide a structural framework for heme-binding proteins and add IL-1 cytokines to the group of potentially heme-regulated proteins.
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    Autofluorescence lifetime augmented reality as a means for real-time robotic surgery guidance in human patients
    (Berlin : Nature Publishing, 2019) Gorpas, Dimitris; Phipps, Jennifer E.; Bec, Julien; Ma, Dinglong; Dochow, Sebastian; Yankelevich, Diego R.; Sorger, Jonathan; Popp, Jürgen; Bewley, Arnaud Fassett; Gandour-Edwards, Regina F.; Marcu, Laura; Farwell, D. Gregory
    Due to loss of tactile feedback the assessment of tumor margins during robotic surgery is based only on visual inspection, which is neither significantly sensitive nor specific. Here we demonstrate time-resolved fluorescence spectroscopy (TRFS) as a novel technique to complement the visual inspection of oral cancers during transoral robotic surgery (TORS) in real-time and without the need for exogenous contrast agents. TRFS enables identification of cancerous tissue by its distinct autofluorescence signature that is associated with the alteration of tissue structure and biochemical profile. A prototype TRFS instrument was integrated synergistically with the da Vinci Surgical robot and the combined system was validated in swine and human patients. Label-free and real-time assessment and visualization of tissue biochemical features during robotic surgery procedure, as demonstrated here, not only has the potential to improve the intraoperative decision making during TORS but also other robotic procedures without modification of conventional clinical protocols.