Author

J. Behr

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

Biology Disciplines

Click to filter author papers

Cell Biology· 3 Cancer Biology· 2 Physiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 5 Research Focus:cell type annotation· 4 Organism:human· 4 Organism:mouse· 3 Research Focus:cell-cell communication· 2 Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Assay:scRNA-seq· 2

Frequent Co-Authors

G. Burgstaller· 3 shared R. A. Hatz· 3 shared A. Marazioti· 2 shared A. S. Lamort· 2 shared C. H. Mayr· 2 shared F. J. Theis· 2 shared G. T. Stathopoulos· 2 shared H. B. Schiller· 2 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersCell Biology

G. Burgstaller

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Ex vivo tissue perturbations coupled to single cell RNA-seq reveal multi-lineage cell circuit dynamics in human lung fibrogenesis

N. J. Lang, J. Gote-Schniering, D. Porras-Gonzalez, L. Yang, L. J. De Sadeleer, R. C. Jentzsch, V. Shitov, S. Zhou, M. Ansari, A. Agami, C. H. Mayr, B. Hooshiar Kashani, Y. Chen, L. Heumos, J. C. Pestoni, , H. B. Schiller

The paper uses ex vivo perturbations on human lung slices combined with single-cell RNA-seq to study fibrogenesis, showing similarities to in vivo cell circuits and drug effects.

bioRxiv · Jan 16, 2023 · PreprintCell Biology

Cytokine signaling converging on IL11 in ILD fibroblasts provokes aberrant epithelial differentiation signatures

M. T. Kastlmeier, E. Gonzalez Rodriguez, P. Cabanis, E. M. Guenther, A.-C. Koenig, L. Han, S. Hauck, F. See, S. Asgharpour, C. Bukas, G. Burgstaller, M. Piraud, M. Lehmann, R. A. Hatz, J. Behr, , C. Voss

This study identifies IL11 as a key mediator of aberrant epithelial differentiation in ILD fibroblast-epithelial crosstalk using a 3D organoid co-culture model and secretome analysis.

bioRxiv · Dec 20, 2022Cell Biology

Autocrine Sfrp1 inhibits lung fibroblast invasion during transition to injury induced myofibroblasts

C. H. Mayr, A. Sengupta, M. Ansari, J. Pestoni, P. Ogar, I. Angelidis, A. Liontos, J. A. Rodriguez, N. J. Lang, M. Strunz, S. Ashgarpour, D. Gonzalez, M. Gerckens, B. Oehrle, V. Viteri, , H. B. Schiller

The paper identifies Sfrp1 as an autocrine inhibitor of fibroblast invasion during lung fibrosis by analyzing fibroblast states and signaling pathways in mouse lung regeneration.

bioRxiv · Jul 11, 2022Cell Biology

Tumor-secreted versican co-opts myeloid IKKβ during metastasis

M. Spella, A. S. Lamort, M. Vreka, A. Marazioti, I. Lilis, G. Ntaliarda, G. Skiadas, E. Bouloukou, G. A. Giotopoulou, M. A. Pepe, S. A. Weiss, A. Petrera, S. M. Hauck, I. Koch, M. Lindner, , G. T. Stathopoulos

This study identifies tumor-secreted versican as a driver of myeloid IKKβ activation during metastasis, showing its role in promoting inflammation and metastasis through IL-1β release.

bioRxiv · May 20, 2021 · PreprintCancer Biology

KRAS signalling in malignant pleural mesothelioma

A. Marazioti, A. Krontira, M. A. Pepe, M. Iliopoulou, D. E. Wagner, H. Papadaki, S. G. Antimisiaris, I. Psallidas, M. Spella, I. Lilis, I. Giopanou, M. Vreka, C. Blanquart, M. Gregoire, S. Deshayes, , G. T. Stathopoulos

This study identifies KRAS mutations as a significant driver in human malignant pleural mesothelioma and demonstrates their role in disease initiation and treatment response in mouse models.

bioRxiv · Oct 22, 2020 · PreprintPhysiology

Mutational interactions define novel cancer subgroups

J. Kuipers, T. Thurnherr, G. Moffa, P. Suter, J. Behr, R. Goosen, G. Christofori, N. Beerenwinkel

This study uses a Bayesian network model to analyze mutational interactions across 8,198 cancer samples, identifying 22 novel clusters that improve survival prediction and suggest drug targets.

bioRxiv · Jul 17, 2018Cancer Biology