Author

Ina Rothenaigner

Helmholtz Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cell Biology· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Kamyar HadianiD· 3 shared Juliane TschuckiD· 2 shared Alejandro Tejada-LapuertaiD· 1 shared Andrea Kolak· 1 shared Anita WagneriD· 1 shared Anna Ioannidou· 1 shared Anneli Olsson· 1 shared Antti HassineniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersCell Biology

Kamyar HadianORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Oxysterol-sensing by Liver X receptor counteracts ferroptosis via lipid remodeling

Andrea Kolak, Juliane Tschuck, Shibo Sun, Judith Sailer, Oliver Hartmann, Ina Rothenaigner, Huiyun Hu, Elizaveta Efanova, Fabien Riols, Mark Haid, Hans Zischka, Markus E. Diefenbacher, José Pedro Friedmann Angeli, Kamyar Hadian

This study identifies LXR as an oxysterol-sensing suppressor of ferroptosis by promoting lipid remodeling that reduces lipid peroxidation.

bioRxiv · Aug 20, 2026 · PreprintCell Biology

In vitro model of human subcutaneous adipocyte spheroids for studying mitochondrial dysfunction and mitochondria activating compounds

Anita Wagner, Juulia H. Lautaoja-Kivipelto, Kalle Pehkonen, Antti Hassinen, Minna Kuusela, Lisa Röttger, Elena Herbers, Anna Ioannidou, Sophia Clara Mädler, Ina Rothenaigner, Soumya Srinivasan, Sini Laasonen, M.Tanvir Rahman, Pinja Elomaa, S Kortetjärvi, , Eija Pirinen

The paper develops an in vitro model of human subcutaneous adipocyte spheroids to study mitochondrial dysfunction and test mitochondria-activating compounds in obesity.

iScience · Dec 29, 2025Peer-reviewedMolecular Biology

Scalable and universal prediction of cellular phenotypes enables in silico experiments

Yuge Ji, Alejandro Tejada-Lapuerta, Niklas Arndt Schmacke, Zihe Zheng, Xinyue Zhang, Simrah Khan, Ina Rothenaigner, Juliane Tschuck, Kamyar Hadian, Veit Hornung, Fabian Joachim Theis

Prophet predicts cellular phenotypes from perturbations using transfer learning, outperforming baselines and enabling in silico screening for therapeutic discovery.

bioRxiv · Aug 12, 2024 · PreprintCell Biology