Author

J. Kranich

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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Immunology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:flow cytometry· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

L. Rausch· 3 shared T. Brocker· 3 shared A. B. Krug· 2 shared E. Winheim· 2 shared J. Hellmuth· 2 shared K. Lutz· 2 shared L. Rinke· 2 shared M. Muenchhoff· 2 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersImmunology

L. Rausch

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Binding of phosphatidylserine-positive microparticles by PBMCs classifies disease severity in COVID-19 patients

L. Rausch, K. Lutz, M. Schifferer, E. Winheim, R. Gruber, L. Rinke, J. Hellmuth, C. Scheerer, M. Muenchhoff, C. Mandel, M. Bergwelt-Baildon, M. Simons, T. Straub, A. B. Krug, J. Kranich, T. Brocker

The paper identifies PS+ PMPs as a marker for disease severity in COVID-19 by showing their correlation with immune dysfunction and clinical outcomes.

Journal of Extracellular Vesicles · Dec 1, 2021Peer-reviewedImmunology

Impaired function and delayed regeneration of dendritic cells in COVID-19

E. Winheim, L. Rinke, K. Lutz, A. Reischer, A. Leutbecher, L. Wolfram, L. Rausch, J. Kranich, P. R. Wratil, J. Huber, D. Baumjohann, S. Rothenfusser, J. Hellmuth, C. Scherer, M. Muenchhoff, , A. B. Krug

This study examines dendritic cell and monocyte function and regeneration in COVID-19 patients, finding persistent reductions and functional impairments linked to disease severity.

bioRxiv · May 26, 2021 · PreprintImmunology

In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning

J. Kranich, N.-K. Chlis, L. Rausch, A. Latha, M. Schifferer, T. Kurz, A. Foltyn, M. Simons, F. J. Theis, T. Brocker

This paper introduces a method using fluorescent MFG-E8 and deep learning to identify apoptotic and EV-bound live cells in vivo, finding that most PS+ cells are live cells associated with EVs.

bioRxiv · Apr 14, 2020Cell Biology