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Universitätsklinikum Erlangen

5 ARTICLES PUBLISHED IN JoVE

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Immunology and Infection

Applying an Inducible Expression System to Study Interference of Bacterial Virulence Factors with Intracellular Signaling
Christian Berens 1,2, Stephanie Bisle 3, Leonie Klingenbeck 3, Anja Lührmann 3
1Department Biologie, Friedrich-Alexander-Universität, 2Institut für Molekulare Pathogenese, Friedrich-Loeffler-Institut, 3Mikrobiologisches Institut - Klinische Mikrobiologie, Immunologie und Hygiene, Universitätsklinikum Erlangen

The method described here is used to induce the apoptotic signaling cascade at defined steps in order to dissect the activity of an anti-apoptotic bacterial effector protein. This method can also be used for inducible expression of pro-apoptotic or toxic proteins, or for dissecting interference with other signaling pathways.

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Developmental Biology

Mechanism of Regulation of Adipocyte Numbers in Adult Organisms Through Differentiation and Apoptosis Homeostasis
Aline Bozec 1,2, Nicole Hannemann 1,2
1Department of Medicine 3, Rheumatology and Immunology, Universitätsklinikum Erlangen, 2Nikolaus Fiebiger Center of Molecular Medicine, Universitätsklinikum Erlangen

Adipose tissue (AT) can influence whole body homeostasis, therefore understanding the molecular mechanisms of adipocyte differentiation and function is of importance. We provide a protocol for gaining new insights into these processes by analyzing adipocyte homeostasis, differentiation and hypoxia exposure as a model for induced adipocyte apoptosis.

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Medicine

Vagus Nerve Stimulation As an Adjunctive Neurostimulation Tool in Treatment-resistant Depression
Sebastian Moeller 1,2, Caroline Lücke 2, Christian Heinen 3, Bettina H. Bewernick 2,4, Merve Aydin 2, Alexandra P. Lam 2, Teja W. Grömer 5, Alexandra Philipsen 2, Helge H.O. Müller 2
1Universitätsklinik für Psychiatrie und Psychotherapie, Carl von Ossietzky Universität Oldenburg, 2Universitätsklinikum Bonn AöR, Klinik und Poliklinik für Psychiatrie, 3Universitätsklinik für Neurochirurgie am Evangelischen Krankenhaus Oldenburg, Carl von Ossietzky Universität Oldenburg, 4Klinik für Neurodegenerative Erkrankungen und Gerontopsychiatrie, Abteilung für medizinische Psychologie, Klinik für Psychiatrie und Psychotherapie, Universitätsklinikum Bonn, 5Psychiatrische und Psychotherapeutische Klinik, Universitätsklinikum Erlangen

Vagus nerve stimulation (VNS) has been shown to be effective as an adjunct treatment for treatment-resistant depression (TRD). VNS leads to antidepressive and antisuicidal effects and quality of life improvements. This protocol offers a step-by-step guide to managing and adjusting a vagus nerve stimulator for efficient treatment of TRD.

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Immunology and Infection

siRNA Electroporation to Modulate Autophagy in Herpes Simplex Virus Type 1-Infected Monocyte-Derived Dendritic Cells
Alexandra Düthorn 1, Aykut Turan 1, Christina Draßner 1, Petra Mühl-Zürbes 1, Christiane S Heilingloh 1, Alexander Steinkasserer 1, Linda Grosche 1
1Department of Immune Modulation, Universitätsklinikum Erlangen

In this study, we present inhibitor- and siRNA-based strategies to interfere with autophagic flux in Herpes simplex virus type-1 (HSV-1)-infected monocyte-derived dendritic cells.

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Cancer Research

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Stephan Ellmann 1, Lisa Seyler 1, Clarissa Gillmann 2, Vanessa Popp 1, Christoph Treutlein 1, Aline Bozec 3, Michael Uder 1, Tobias Bäuerle 1
1Department of Radiology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, 2Department of Medical Physics in Radiation Oncology, German Cancer Research Center, 3Department of Internal Medicine 3, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg

This protocol was designed to train a machine learning algorithm to use a combination of imaging parameters derived from magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) in a rat model of breast cancer bone metastases to detect early metastatic disease and predict subsequent progression to macrometastases.

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