Marcus Bode
Otto-von-Guericke University Magdeburg
9 Papers
110 Citations
Marcus Bode is an academic researcher from Otto-von-Guericke University Magdeburg. The author has contributed to research in topics: Proteomics & Proteome. The author has an hindex of 8, co-authored 9 publications. Previous affiliations of Marcus Bode include Zenit.
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Papers
Analyzing proteome topology and function by automated multidimensional fluorescence microscopy
Walter Schubert,Walter Schubert,Bernd Bonnekoh,Ansgar J. Pommer,Lars Philipsen,Raik Böckelmann,Yanina Malykh,Harald Gollnick,Manuela Friedenberger,Marcus Bode,Marcus Bode,Andreas W. M. Dress +11 more
TL;DR: By analyzing many cell and tissue types, this approach reveals rules of hierarchical protein network organization, in which the frequency distribution of different protein clusters obeys Zipf's law, and state-specific lead proteins appear to control protein network topology and function.
Interlocking transcriptomics, proteomics and toponomics technologies for brain tissue analysis in murine hippocampus.
Marcus Bode,Martin Irmler,Manuela Friedenberger,Caroline May,Klaus Jung,Christian Stephan,Helmut E. Meyer,Christiane Lach,Reyk Hillert,Andreas Krusche,Johannes Beckers,Katrin Marcus,Walter Schubert,Walter Schubert +13 more
TL;DR: It is found that transcriptome and proteome levels of function as well as the topological organization of synaptic protein clusters, detected by toponomics at physiological sites of hippocampus CA3 region, are all largely conserved between different mice.
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Toponomics and neurotoponomics: a new way to medical systems biology.
TL;DR: A lead target protein in tumor cells that controls cell polarization as a mechanism that is fundamental for migration and metastasis formation has been uncovered, and new functional territories in the CNS defined by high-dimensional synaptic protein clusters have been unveiled.
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Toponome Imaging System (TIS): imaging the proteome with functional resolution
Marcus Bode,Andreas Krusche +1 more
TL;DR: The Toponome Imaging System (TIS) is the latest development in automated multidimensional fluorescence microscopy capable of imaging over 100 different molecular components in a single cell or tissue section at continuous intensity levels for the first time.
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Automatic Recognition of Muscle-invasive T-lymphocytes Expressing Dipeptidyl-peptidase IV (CD26) and Analysis of the Associated Cell Surface Phenotypes
Walter Schubert,Manuela Friedenberger,R. Haars,Marcus Bode,L. Philipsen,Tim Wilhelm Nattkemper,Helge Ritter +6 more
TL;DR: A neural cell detection system for the automatic quantitation of fluorescent lymphocytes in tissue sections was used to analyze CD26 expression in muscle-invasive T-cells and finds highly unusual phenotypes characterized by differential combination of seven cell surface receptors usually involved in co-stimulatory events in T-lymphocytes.