Author
Technical University of MunichORCID 0000-0002-1682-5088Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Melanie Haas, Beate Brandl, Klaus Neuhaus, Susanne I. Wudy, Karin Kleigrewe, Hans Hauner, Thomas Skurk
This study shows dietary fiber reduces TMAO formation after beef consumption, particularly in low meat eaters, by downregulating cutC expression.
European Journal of Clinical Nutrition · Jun 19, 2025Peer-reviewedPhysiology
Grace Zhuo Yu, Nicole A. J. Krentz, Liz Bentley, Meng Zhao, Keanu Paphiti, Han Sun, Julius Honecker, Marcus Nygård, Hesam Dashti, Ying Bai, Madeleine Reid, Swaraj Thaman, Martin Wabitsch, Varsha Rajesh, Jing Yang, , Anna L. Gloyn
This study shows that reducing RREB1 in mice and humans decreases adipogenesis and improves insulin sensitivity, linking RREB1 to type 2 diabetes risk.
bioRxiv · Jul 30, 2024 · PreprintPhysiology
Samantha Laber, Sophie Strobel, Josep Maria Mercader, Hesam Dashti, Felipe R. C. dos Santos, Phil Kubitz, Maya Jackson, Alina Ainbinder, Julius Honecker, Saaket Agrawal, Garrett Garborcauskas, David R. Stirling, Aaron Leong, Katherine Figueroa, Nasa Sinnott-Armstrong, , Melina Claussnitzer
The paper introduces LipocyteProfiler, a high-throughput microscopy assay to profile lipid-storing cells and identifies cellular programs linked to metabolic traits like insulin resistance and lipodystrophy.
Cell Genomics · Jun 20, 2023Peer-reviewedGenomics
Alexander Dietrich, Monica Steffi Matchado, Maximilian Zwiebel, Benjamin Ölke, Michael Lauber, Ilias Lagkouvardos, Jan Baumbach, Dirk Haller, Beate Brandl, Thomas Skurk, Hans Hauner, Sandra Reitmeier, Markus List
Namco provides a user-friendly R Shiny application for comprehensive microbiome analysis, covering data processing to complex tasks like machine learning and network analysis.
Microbial Genomics · Aug 2, 2022Peer-reviewedBioinformatics
Craig A. Glastonbury, Sara L. Pulit, Julius Honecker, Jenny C. Censin, Samantha Laber, Hanieh Yaghootkar, Nilüfer Rahmioğlu, Emilie Pastel, Katarina Kos, A. Pitt, Michelle Hudson, Christoffer Nellåker, Nicola L. Beer, Hans Hauner, Christian Malte Becker, , Cecilia M. Lindgren
The paper develops a deep learning method for adipocyte phenotyping and finds adipocyte area correlates with BMI but no genome-wide significant genetic associations.
PLoS Computational Biology · Aug 14, 2020Peer-reviewedGenomics