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Mathematical modeling reveals a complex network of signaling and apoptosis pathways in the survival of memory plasma cells

Philipp Burt, Rebecca Cornelis, Gustav Geißler, Stefanie Hahne, Andreas Radbruch, Hyun-Dong Chang, Kevin Thurley
doi: https://doi.org/10.1101/2021.08.26.457784
Philipp Burt
1German Rheumatism Research Center, Berlin, Germany
2Institute for Theoretical Biology, Humboldt University, Berlin, Germany
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Rebecca Cornelis
1German Rheumatism Research Center, Berlin, Germany
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Gustav Geißler
1German Rheumatism Research Center, Berlin, Germany
2Institute for Theoretical Biology, Humboldt University, Berlin, Germany
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Stefanie Hahne
1German Rheumatism Research Center, Berlin, Germany
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Andreas Radbruch
1German Rheumatism Research Center, Berlin, Germany
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Hyun-Dong Chang
1German Rheumatism Research Center, Berlin, Germany
3Department of Cytometry, Institute of Biotechnology, Technical University, Berlin, Germany
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  • For correspondence: chang@drfz.de kevin.thurley@uni-bonn.de
Kevin Thurley
1German Rheumatism Research Center, Berlin, Germany
2Institute for Theoretical Biology, Humboldt University, Berlin, Germany
4Biomathematics, Institute for Experimental Oncology, University Hospital Bonn, Bonn, Germany
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  • For correspondence: chang@drfz.de kevin.thurley@uni-bonn.de
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Abstract

The long-term survival of memory plasma cells is conditional on the signals provided by dedicated survival niches in the bone marrow organized by mesenchymal stromal cells. Recently, we could show that plasma cell survival requires secreted factors such as APRIL and direct contact to stromal cells, which act in concert to activate NF-kB- and PI3K-dependent signaling pathways to prevent cell death. However, the precise dynamics of the underlying regulatory network are confounded by the complexity of potential interaction and cross-regulation pathways. Here, based on flow-cytometric quantification of key signaling proteins in the presence or absence of the required survival signals, we generated a quantitative model of plasma cell survival. Our model emphasizes the non-redundant and essential nature of the two plasma cell survival signals APRIL and stromal cell contact, providing resilience to endoplasmic reticulum stress and mitochondrial stress, respectively. Importantly, the modeling approach allowed us to unify distinct data sets and derive a consistent picture of the intertwined signaling and apoptosis pathways regulating plasma cell survival.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted August 28, 2021.
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Mathematical modeling reveals a complex network of signaling and apoptosis pathways in the survival of memory plasma cells
Philipp Burt, Rebecca Cornelis, Gustav Geißler, Stefanie Hahne, Andreas Radbruch, Hyun-Dong Chang, Kevin Thurley
bioRxiv 2021.08.26.457784; doi: https://doi.org/10.1101/2021.08.26.457784
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Mathematical modeling reveals a complex network of signaling and apoptosis pathways in the survival of memory plasma cells
Philipp Burt, Rebecca Cornelis, Gustav Geißler, Stefanie Hahne, Andreas Radbruch, Hyun-Dong Chang, Kevin Thurley
bioRxiv 2021.08.26.457784; doi: https://doi.org/10.1101/2021.08.26.457784

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