Responsibilities
Extracellular Vesicles and Lymphocyte Interactions
Reagent Development
Protein Production
Contact
BioMedical Center
Großhaderner Str. 9
82152 Planegg-Martinsried / Germany
Room:
N.B 00.017
Phone:
(089) 2180 75660
Email:
jan.kranich(at)med.uni-muenchen.de
Research Focus
We use highly-sensitive, in-house developed phosphatidylserine-binding reagents that allow us to precisely identify and characterize extracellular vesicles and their target cells in vivo. Combining these reagents with cutting-edge technology like imaging flow cytometry, STORM superresolution microscopy and scRNAseq we study the interactions between different lymphocytes and try to unravel the role of these interactions in both healthy and pathological conditions, such as acute and chronic viral infections.
Moreover, our phosphatidylserine-binding reagents allow us to strategically direct specific molecules to extracellular vesicles, offering a powerful tool to enhance and fine-tune immune responses.
Selected publications
Phosphatidylserine-positive extracellular vesicles boost effector CD8+ T cell responses during viral infection.
Rausch L, Flaskamp L, Ashokkumar A, Trefzer A, Ried C, Buchholz VR, Obst R, Straub T, Brocker T, Kranich J.
Proc Natl Acad Sci U S A. 2023 Apr 18;120(16):e2210047120. doi: 10.1073/pnas.2210047120. Epub 2023 Apr 11.
PMID: 37040405
Binding of phosphatidylserine-positive microparticles by PBMCs classifies disease severity in COVID-19 patients.
Rausch L, Lutz K, Schifferer M, Winheim E, Gruber R, Oesterhaus EF, Rinke L, Hellmuth JC, Scherer C, Muenchhoff M, Mandel C, Bergwelt-Baildon M, Simons M, Straub T, Krug AB, Kranich J, Brocker T.
J Extracell Vesicles. 2021 Dec;10(14):e12173. doi: 10.1002/jev2.12173.
PMID: 34854246
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.
Chlis NK, Rausch L, Brocker T, Kranich J, Theis FJ.
Nucleic Acids Res. 2020 Nov 18;48(20):11335-11346. doi: 10.1093/nar/gkaa926.
PMID: 33119742
In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning.
Kranich J, Chlis NK, Rausch L, Latha A, Schifferer M, Kurz T, Foltyn-Arfa Kia A, Simons M, Theis FJ, Brocker T.
J Extracell Vesicles. 2020 Jul 16;9(1):1792683. doi: 10.1080/20013078.2020.1792683.
PMID: 32944180
Financial Support
DFG: KR 4016/4-1: Targeting of antigen to phosphatidylserine strongly enhances B cell responses
DFG: SFB 1054 Control and Plasticity of Cell-Fate Decisions in the Immune System, Project Z02 - Cell-Fate Analysis Platform