Tabea Elschner
University Hospital Heidelberg
3 Papers
Tabea Elschner is an academic researcher from University Hospital Heidelberg. The author has contributed to research in topics: Chemistry & Osteoclast. The author has co-authored 1 publications.
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Papers
Staphylococci planktonic and biofilm environments differentially affect macrophage immune activation and osteoclastogenic differentiation
TL;DR: In this paper, the influence of staphylococcus aureus (SA) and epidermidis (SE) biofilm formation on immune function and osteoclastogenesis was investigated using RAW264.7 cells and conditioned media (CM) of planktonic and biofilm cultures.
Staphylococci planktonic and biofilm environments differentially affect osteoclast formation
TL;DR: In this article , the effect of biofilms on osteoclastogenesis was investigated using RAW 264.7 cells and conditioned media (CM) and the results showed that the biofilm environment and its high lactate levels are not actively promoting osteoclateogenesis.
Shiny-Calorie: A context-aware application for indirect calorimetry data analysis and visualization using R
Stephan Grein,Tabea Elschner,Ronja Kardinal,Johanna Bruder,Akim Stromeyer,Karthikeyan Gunasekaran,Jennifer Witt,Hildigunnur Hermannsdóttir,Janina Behrens,Mueez U-Din,Jiangyan Yu,Gerhard Heldmaier,Renate Schreiber,Jan Rozman,Markus Heine,Ludger Scheja,Anna Worthmann,Joerg Heeren,Dagmar Wachten,K. Wilhelm-Jüngling,Alexander Pfeifer,Jan Hasenauer,Martin Klingenspor +22 more
Abstract: Indirect calorimetry is a cornerstone technique for metabolic phenotyping of animal models in preclinical research, with well-established experimental protocols and platforms. However, a flexible, extensible, and user-friendly software suite that enables standardized integration of data and metadata from diverse metabolic phenotyping platforms—followed by unified statistical analysis and visualization—remains absent. We present Shiny-Calorie, an open-source interactive web application for transparent data and metadata integration, comprehensive statistical data analysis, and visualization of indirect calorimetry datasets. Shiny-Calorie is compatible with data formats from widely used commercial metabolic phenotyping platforms, such as TSE and Sable Systems, and includes functionality for exporting processed data in these formats. Built using GNU R and a Shiny-based reactive interface, Shiny-Calorie enables intuitive exploration of complex, multi-modal longitudinal datasets comprising categorical, continuous, ordinal, and count variables. The platform incorporates state-of-the-art statistical methods for robust hypothesis testing, thereby facilitating biologically meaningful interpretation of energy metabolism phenotypes, including resting metabolic rate and energy expenditure. Overall, Shiny-Calorie streamlines routine analysis workflows and enhances reproducibility and transparency in metabolic phenotyping studies.