Data-Driven Mathematical Model of Apoptosis Regulation in Memory Plasma Cells

Cells. 2022 May 5;11(9):1547. doi: 10.3390/cells11091547.

Abstract

Memory plasma cells constitutively produce copious amounts of antibodies, imposing a critical risk factor for autoimmune disease. We previously found that plasma cell survival requires secreted factors such as APRIL and direct contact to stromal cells, which act in concert to activate NF-κB- and PI3K-dependent signaling pathways to prevent cell death. However, the regulatory properties of the underlying biochemical 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 survival signals APRIL and contact to the stromal cell line ST2, we generated a quantitative model of plasma cell survival. Our model emphasizes the non-redundant nature of the two plasma cell survival signals APRIL and stromal cell contact, and highlights a requirement for differential regulation of individual caspases. 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.

Keywords: apoptosis; cell signaling; immunological memory; mathematical model; plasma cells.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Apoptosis / physiology
  • Caspases / metabolism
  • Models, Theoretical
  • Phosphatidylinositol 3-Kinases*
  • Plasma Cells* / metabolism

Substances

  • Caspases

Grants and funding

This work was supported by the Leibniz association (Best-minds program, to K.T.), the Leibniz ScienceCampus Chronic inflammation, the Deutsche Forschungsgemeinschaft (TH 1861/4-1 to K.T. and SFB TRR130 P16 to H.D.C. and A.R.), and the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement no. 777357 to H.D.C. and A.R. H.D.C. is supported by the Dr. Rolf M. Schwiete Foundation.